|
1
|
Sakamoto T, Akiyama S, Narasaka T, Tuchiya K. Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review. DEN OPEN 2026; 6:e70141. [PMID: 40353217 PMCID: PMC12061549 DOI: 10.1002/deo2.70141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2025] [Revised: 04/23/2025] [Accepted: 04/28/2025] [Indexed: 05/14/2025]
Abstract
Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for early detection and accurate lesion characterization. Traditional white-light imaging has limitations in detecting lesions, particularly those with flat morphology or minimal color contrast with the surrounding mucosa. It also struggles to distinguish neoplastic from non-neoplastic lesions. These limitations led to the development of image-enhanced endoscopy (IEE). Image-enhanced endoscopy modalities such as narrow-band imaging, blue laser imaging, linked color imaging, and texture and color enhancement imaging enhance mucosal surface and vascular pattern visualization, thereby improving lesion detection and characterization. In contrast, red dichromatic imaging is primarily designed to enhance the visibility of deep blood vessels, making it particularly useful during therapeutic endoscopies, such as identifying bleeding sources and monitoring post-treatment hemostasis. Although IEE enhances lesion detection and characterization, it remains limited in assessing submucosal invasion depth, which is a key factor in treatment decisions. Endoscopic submucosal dissection requires accurate prediction of invasion depth; however, IEE mainly reflects superficial features. Endoscopic ultrasound and artificial intelligence-assisted diagnostics have emerged as complementary techniques for improving depth assessment and lesion classification. Additionally, IEE plays a critical role in detecting ulcerative colitis-associated neoplasia (UCAN), which often presents with a flat morphology and indistinct borders. High-definition chromoendoscopy and IEE modalities enhance detection; however, inflammation-related changes limit diagnostic accuracy. Artificial intelligence and molecular biomarkers may improve UCAN diagnosis. This review examines the role of IEE in lesion detection and treatment selection, its limitations, and complementary techniques such as endoscopic ultrasound and artificial intelligence. We also explored pit pattern diagnosis using crystal violet staining and discussed emerging strategies to refine colorectal cancer screening and management.
Collapse
Affiliation(s)
- Taku Sakamoto
- Division of GastroenterologyUniversity of Tsukuba HospitalIbarakiJapan
| | - Shintaro Akiyama
- Division of GastroenterologyUniversity of Tsukuba HospitalIbarakiJapan
| | - Toshiaki Narasaka
- Division of GastroenterologyUniversity of Tsukuba HospitalIbarakiJapan
| | - Kiichiro Tuchiya
- Division of GastroenterologyUniversity of Tsukuba HospitalIbarakiJapan
| |
Collapse
|
|
2
|
Lin TL, Karmakar R, Mukundan A, Chaudhari S, Hsiao YP, Hsieh SC, Wang HC. Assessing the Efficacy of the Spectrum-Aided Vision Enhancer (SAVE) to Detect Acral Lentiginous Melanoma, Melanoma In Situ, Nodular Melanoma, and Superficial Spreading Melanoma: Part II. Diagnostics (Basel) 2025; 15:714. [PMID: 40150057 PMCID: PMC11941011 DOI: 10.3390/diagnostics15060714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Revised: 02/26/2025] [Accepted: 03/05/2025] [Indexed: 03/29/2025] Open
Abstract
Background: Melanoma, a highly aggressive form of skin cancer, necessitates early detection to significantly improve survival rates. Traditional diagnostic techniques, such as white-light imaging (WLI), are effective but often struggle to differentiate between melanoma subtypes in their early stages. Methods: The emergence of the Spectrum-Aided Vison Enhancer (SAVE) offers a promising alternative by utilizing specific wavelength bands to enhance visual contrast in melanoma lesions. This technique facilitates greater differentiation between malignant and benign tissues, particularly in challenging cases. In this study, the efficacy of the SAVE is evaluated in detecting melanoma subtypes including acral lentiginous melanoma (ALM), melanoma in situ (MIS), nodular melanoma (NM), and superficial spreading melanoma (SSM) compared to WLI. Results: The findings demonstrated that the SAVE consistently outperforms WLI across various key metrics, including precision, recall, F1-scorw, and mAP, making it a more reliable tool for early melanoma detection using the four different machine learning methods YOLOv10, Faster RCNN, Scaled YOLOv4, and YOLOv7. Conclusions: The ability of the SAVE to capture subtle spectral differences offers clinicians a new avenue for improving diagnostic accuracy and patient outcomes.
Collapse
Affiliation(s)
- Teng-Li Lin
- Department of Dermatology, Dalin Tzu Chi General Hospital, No. 2 Min-Sheng Rd., Dalin Town, Chiayi 62247, Taiwan;
| | - Riya Karmakar
- Department of Mechanical Engineering, National Chung Cheng University, 168 University Rd., Min Hsiung, Chiayi 62102, Taiwan; (R.K.); (A.M.)
| | - Arvind Mukundan
- Department of Mechanical Engineering, National Chung Cheng University, 168 University Rd., Min Hsiung, Chiayi 62102, Taiwan; (R.K.); (A.M.)
| | - Sakshi Chaudhari
- Department of Computer Science, Sanjivani College of Engineering, Station Rd, Singapur, Kopargaon 423603, Maharashtra, India;
| | - Yu-Ping Hsiao
- Department of Dermatology, Chung Shan Medical University Hospital, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40201, Taiwan;
- Institute of Medicine, School of Medicine, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40201, Taiwan
| | - Shang-Chin Hsieh
- Division of General Surgery, Department of Surgery, Kaohsiung Armed Forces General Hospital, 2 Zhongzheng 1st. Rd., Lingya District, Kaohsiung City 80284, Taiwan
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering, National Chung Cheng University, 168 University Rd., Min Hsiung, Chiayi 62102, Taiwan; (R.K.); (A.M.)
- Hitspectra Intelligent Technology Co., Ltd., Kaohsiung 80661, Taiwan
| |
Collapse
|
|
3
|
Lin TL, Karmakar R, Mukundan A, Chaudhari S, Hsiao YP, Hsieh SC, Wang HC. Assessing the Efficacy of the Spectrum-Aided Vision Enhancer (SAVE) to Detect Acral Lentiginous Melanoma, Melanoma In Situ, Nodular Melanoma, and Superficial Spreading Melanoma: Part II. Diagnostics (Basel) 2025; 15:714. [DOI: https:/doi.org/10.3390/diagnostics15060714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2025] Open
Abstract
Background: Melanoma, a highly aggressive form of skin cancer, necessitates early detection to significantly improve survival rates. Traditional diagnostic techniques, such as white-light imaging (WLI), are effective but often struggle to differentiate between melanoma subtypes in their early stages. Methods: The emergence of the Spectrum-Aided Vison Enhancer (SAVE) offers a promising alternative by utilizing specific wavelength bands to enhance visual contrast in melanoma lesions. This technique facilitates greater differentiation between malignant and benign tissues, particularly in challenging cases. In this study, the efficacy of the SAVE is evaluated in detecting melanoma subtypes including acral lentiginous melanoma (ALM), melanoma in situ (MIS), nodular melanoma (NM), and superficial spreading melanoma (SSM) compared to WLI. Results: The findings demonstrated that the SAVE consistently outperforms WLI across various key metrics, including precision, recall, F1-scorw, and mAP, making it a more reliable tool for early melanoma detection using the four different machine learning methods YOLOv10, Faster RCNN, Scaled YOLOv4, and YOLOv7. Conclusions: The ability of the SAVE to capture subtle spectral differences offers clinicians a new avenue for improving diagnostic accuracy and patient outcomes.
Collapse
Affiliation(s)
- Teng-Li Lin
- Department of Dermatology, Dalin Tzu Chi General Hospital, No. 2 Min-Sheng Rd., Dalin Town, Chiayi 62247, Taiwan
| | - Riya Karmakar
- Department of Mechanical Engineering, National Chung Cheng University, 168 University Rd., Min Hsiung, Chiayi 62102, Taiwan
| | - Arvind Mukundan
- Department of Mechanical Engineering, National Chung Cheng University, 168 University Rd., Min Hsiung, Chiayi 62102, Taiwan
| | - Sakshi Chaudhari
- Department of Computer Science, Sanjivani College of Engineering, Station Rd, Singapur, Kopargaon 423603, Maharashtra, India
| | - Yu-Ping Hsiao
- Department of Dermatology, Chung Shan Medical University Hospital, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40201, Taiwan
- Institute of Medicine, School of Medicine, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung City 40201, Taiwan
| | - Shang-Chin Hsieh
- Division of General Surgery, Department of Surgery, Kaohsiung Armed Forces General Hospital, 2 Zhongzheng 1st. Rd., Lingya District, Kaohsiung City 80284, Taiwan
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering, National Chung Cheng University, 168 University Rd., Min Hsiung, Chiayi 62102, Taiwan
- Hitspectra Intelligent Technology Co., Ltd., Kaohsiung 80661, Taiwan
| |
Collapse
|
|
4
|
Otsuki K, Hayashi H, Kasashima K, Toda H. Utility of narrow band imaging in a patient with a spinal cord cavernous malformation. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2025; 34:719-723. [PMID: 39681755 DOI: 10.1007/s00586-024-08615-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 10/27/2024] [Accepted: 12/11/2024] [Indexed: 12/18/2024]
Abstract
BACKGROUND Complete removal of the lesion from the spinal cord cavernous malformation is crucial in patients with spinal cord cavernous malformation. Herein, we report that narrow-band imaging (NBI) is useful to confirm the complete removal of spinal cord cavernous malformations. CLINICAL PRESENTATION A 45-year-old woman was followed up for the past seven years due to multiple intracranial cavernous malformations. She reported abnormal pressure sensation in the right hip. Thoracic MRI revealed an intramedullary lesion at the 6th thoracic vertebra, suggesting hemorrhage from a spinal cord cavernous malformation. Subsequently, the patient experienced worsening numbness and gait disturbances. The patient underwent surgery using monitoring of motor- and sensory-evoked potentials in the lower extremities. An intramedullary lesion with hematoma was removed using an exoscope and indocyanine green imaging. However, NBI revealed a residual lesion in the removal cavity, which was additionally removed. Postoperatively, the abnormal sensation was alleviated with no loss of motor function. CONCLUSION NBI is helpful in detecting hidden spinal cord cavernous malformations.
Collapse
Affiliation(s)
- Kazuya Otsuki
- Department of Neurosurgery, Medical Research Institute KITANO HOSPITAL, PIIF Tazuke-Kofukai, Osaka, Japan
| | - Hideki Hayashi
- Department of Neurosurgery, Medical Research Institute KITANO HOSPITAL, PIIF Tazuke-Kofukai, Osaka, Japan.
| | - Kazuhiro Kasashima
- Department of Neurosurgery, Medical Research Institute KITANO HOSPITAL, PIIF Tazuke-Kofukai, Osaka, Japan
| | - Hiroki Toda
- Department of Neurosurgery, Medical Research Institute KITANO HOSPITAL, PIIF Tazuke-Kofukai, Osaka, Japan
| |
Collapse
|
|
5
|
Pessarelli T, Tontini GE, Neumann H. Advanced Endoscopic Imaging for Assessing Mucosal Healing and Histologic Remission in Inflammatory Bowel Diseases. Gastrointest Endosc Clin N Am 2025; 35:159-177. [PMID: 39510685 DOI: 10.1016/j.giec.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2024]
Abstract
Recent advances in the field of endoscopy have found fertile ground for application in inflammatory bowel diseases (IBD). Mucosal healing is a primary goal of IBD therapy, and current evidence shows that histologic remission (HR) is an additional desirable outcome. However, with the use of standard endoscopy, a considerable number of patients with histologically active disease go unrecognized. This narrative article examines the role, current or potential, of each endoscopic technique, from standard white-light endoscopy to molecular imaging, in the assessment of mucosal healing and HR in IBD.
Collapse
Affiliation(s)
- Tommaso Pessarelli
- Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, Milano 20122, Italy
| | - Gian Eugenio Tontini
- Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, via Francesco Sforza 35, Milano 20122, Italy; Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy.
| | - Helmut Neumann
- Department of Interdisciplinary Endoscopy, I. Medizinische Klinik und Poliklinik, University Hospital, Mainz, Germany; GastroZentrum LippeLange Street 55, Bad Salzuflen, Germany
| |
Collapse
|
|
6
|
Renaldi K, Verawati L, Maulahela H, Rahadiani N, Rizka A, Fahrial Syam A, Purnamasari D, Maurine Jasirwan CO, Tahapary DL. Comparison of Performance between White Light Imaging and Narrow Band Imaging in Distinguishing Neoplastic and Non-neoplastic Colorectal Polyps. Middle East J Dig Dis 2025; 17:19-24. [PMID: 40322572 PMCID: PMC12048832 DOI: 10.34172/mejdd.2025.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 11/28/2024] [Indexed: 05/08/2025] Open
Abstract
Background White light imaging (WLI) is the current standard colonoscopy technique for diagnosing colorectal polyps in Indonesia. Various endoscopic imaging techniques have been developed to improve the accuracy of diagnosing colorectal polyps, one of which is narrow band imaging (NBI). We conducted a diagnostic study comparing the performance of NBI against WLI in distinguishing neoplastic from non-neoplastic colorectal polyps. Methods This was a diagnostic study that analyzes endoscopic pictures of colorectal polyps in patients who underwent colonoscopy using the WLI and NBI techniques. Previously collected biopsy tissue specimens were re-examined by a single pathologist. Results There were 117 subjects analyzed, and the proportion of subjects with neoplastic polyps was 65.8%. Common indications for colonoscopy were hematochezia (24.8%) and abdominal pain (23.9%). WLI showed moderate inter-observer reliability (kappa value=0.591), while NBI showed significant reliability (kappa value=0.674). NBI demonstrated better sensitivity (84.4%; 95% CI 74.4%-91.7%) and accuracy (78.6%; 95% CI 70.1%-85.7%) compared with WLI (sensitivity 74%; 95% CI 62.8%-83.4% and accuracy 71.8%; 95% CI 62.7%-79.7%). However, the specificity was the same (67.5%; 95% CI 50.9%-81.4%). Conclusion NBI has better performance than WLI in distinguishing neoplastic and non-neoplastic colorectal polyps.
Collapse
Affiliation(s)
- Kaka Renaldi
- Division of Gastroenterology, Pancreatobiliary, and Gastroenterological Endoscopy, Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Lily Verawati
- Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Hasan Maulahela
- Division of Gastroenterology, Pancreatobiliary, and Gastroenterological Endoscopy, Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Nur Rahadiani
- Department of Pathological Anatomy, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Aulia Rizka
- Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Ari Fahrial Syam
- Division of Gastroenterology, Pancreatobiliary, and Gastroenterological Endoscopy, Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Dyah Purnamasari
- Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Chyntia Olivia Maurine Jasirwan
- Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| | - Dicky Levenus Tahapary
- Department of Internal Medicine, Faculty of Medicine-University of Indonesia, Dr. Cipto Mangunkusumo National Hospital, Jakarta
| |
Collapse
|
|
7
|
Pellegrino R, Palladino G, Izzo M, De Costanzo I, Landa F, Federico A, Gravina AG. Water-assisted colonoscopy in inflammatory bowel diseases: From technical implications to diagnostic and therapeutic potentials. World J Gastrointest Endosc 2024; 16:647-660. [PMID: 39735395 PMCID: PMC11669963 DOI: 10.4253/wjge.v16.i12.647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 11/17/2024] [Accepted: 11/26/2024] [Indexed: 12/12/2024] Open
Abstract
Water-assisted colonoscopy (WAC) application in inflammatory bowel diseases (IBD) endoscopy offers significant technical opportunities. Traditional gas-aided insufflation colonoscopy increases patient discomfort, presenting challenges in the frequent and detailed mucosal assessments required for IBD endoscopy. WAC techniques, including water immersion and exchange, provide superior patient comfort and enhanced endoscopic visualisation. WAC effectively reduces procedural pain, enhances bowel cleanliness, and increases adenoma detection rates, which is crucial for colorectal cancer screening and disease-related evaluations in IBD patients. Additionally, underwater techniques facilitate basic and advanced endoscopic resections, such as polypectomy and endoscopic mucosal and submucosal resections, often required for resecting IBD-associated neoplasia.
Collapse
Affiliation(s)
- Raffaele Pellegrino
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Giovanna Palladino
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Michele Izzo
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Ilaria De Costanzo
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Fabio Landa
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Alessandro Federico
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Antonietta Gerarda Gravina
- Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| |
Collapse
|
|
8
|
Lai CL, Karmakar R, Mukundan A, Natarajan RK, Lu SC, Wang CY, Wang HC. Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review. APL Bioeng 2024; 8. [DOI: https:/doi.org/10.1063/5.0240444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2025] Open
Abstract
Hyperspectral imaging (HSI) has become an evident transformative apparatus in medical diagnostics. The review aims to appraise the present advancement and challenges in HSI for medical applications. It features a variety of medical applications namely diagnosing diabetic retinopathy, neurodegenerative diseases like Parkinson's and Alzheimer's, which illustrates its effectiveness in early diagnosis, early caries detection in periodontal disease, and dermatology by detecting skin cancer. Regardless of these advances, the challenges exist within every aspect that limits its broader clinical adoption. It has various constraints including difficulties with technology related to the complexity of the HSI system and needing specialist training, which may act as a drawback to its clinical settings. This article pertains to potential challenges expressed in medical applications and probable solutions to overcome these constraints. Successful companies that perform advanced solutions with HSI in terms of medical applications are being emphasized in this study to signal the high level of interest in medical diagnosis for systems to incorporate machine learning ML and artificial intelligence AI to foster precision diagnosis and standardized clinical workflow. This advancement signifies progressive possibilities of HSI in real-time clinical assessments. In conclusion despite HSI has been presented as a significant advanced medical imaging tool, addressing its limitations and probable solutions is for broader clinical adoption.
Collapse
Affiliation(s)
- Chun-Liang Lai
- Division of Pulmonology and Critical Care, Department of Internal Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation 1 , No. 2, Minsheng Road, Dalin, Chiayi 62247,
- Public School of Medicine, Tzu Chi University 2 , 701 Zhongyang Rd., Sec. 3, Hualien 97004,
| | - Riya Karmakar
- Department of Mechanical Engineering, National Chung Cheng University 3 , 168, University Road, Min Hsiung, Chiayi City 62102,
| | - Arvind Mukundan
- Department of Mechanical Engineering, National Chung Cheng University 3 , 168, University Road, Min Hsiung, Chiayi City 62102,
| | - Ragul Kumar Natarajan
- Department of Biotechnology, Karpagam Academy of Higher Education 4 , Salem - Kochi Hwy, Eachanari, Coimbatore, Tamil Nadu 641021,
| | - Song-Cun Lu
- Department of Mechanical Engineering, National Chung Cheng University 3 , 168, University Road, Min Hsiung, Chiayi City 62102,
| | - Cheng-Yi Wang
- Department of Gastroenterology, Kaohsiung Armed Forces General Hospital 5 , 2, Zhongzheng 1st. Rd., Kaohsiung City 80284,
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering, National Chung Cheng University 3 , 168, University Road, Min Hsiung, Chiayi City 62102,
| |
Collapse
|
|
9
|
Lai CL, Karmakar R, Mukundan A, Natarajan RK, Lu SC, Wang CY, Wang HC. Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review. APL Bioeng 2024; 8:041504. [PMID: 39660034 PMCID: PMC11629177 DOI: 10.1063/5.0240444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Accepted: 11/19/2024] [Indexed: 12/12/2024] Open
Abstract
Hyperspectral imaging (HSI) has become an evident transformative apparatus in medical diagnostics. The review aims to appraise the present advancement and challenges in HSI for medical applications. It features a variety of medical applications namely diagnosing diabetic retinopathy, neurodegenerative diseases like Parkinson's and Alzheimer's, which illustrates its effectiveness in early diagnosis, early caries detection in periodontal disease, and dermatology by detecting skin cancer. Regardless of these advances, the challenges exist within every aspect that limits its broader clinical adoption. It has various constraints including difficulties with technology related to the complexity of the HSI system and needing specialist training, which may act as a drawback to its clinical settings. This article pertains to potential challenges expressed in medical applications and probable solutions to overcome these constraints. Successful companies that perform advanced solutions with HSI in terms of medical applications are being emphasized in this study to signal the high level of interest in medical diagnosis for systems to incorporate machine learning ML and artificial intelligence AI to foster precision diagnosis and standardized clinical workflow. This advancement signifies progressive possibilities of HSI in real-time clinical assessments. In conclusion despite HSI has been presented as a significant advanced medical imaging tool, addressing its limitations and probable solutions is for broader clinical adoption.
Collapse
Affiliation(s)
| | - Riya Karmakar
- Department of Mechanical Engineering, National Chung Cheng University, 168, University Road, Min Hsiung, Chiayi City 62102, Taiwan
| | - Arvind Mukundan
- Department of Mechanical Engineering, National Chung Cheng University, 168, University Road, Min Hsiung, Chiayi City 62102, Taiwan
| | - Ragul Kumar Natarajan
- Department of Biotechnology, Karpagam Academy of Higher Education, Salem - Kochi Hwy, Eachanari, Coimbatore, Tamil Nadu 641021, India
| | - Song-Cun Lu
- Department of Mechanical Engineering, National Chung Cheng University, 168, University Road, Min Hsiung, Chiayi City 62102, Taiwan
| | - Cheng-Yi Wang
- Department of Gastroenterology, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st. Rd., Kaohsiung City 80284, Taiwan
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering, National Chung Cheng University, 168, University Road, Min Hsiung, Chiayi City 62102, Taiwan
| |
Collapse
|
|
10
|
Guryleva A, Machikhin A, Toldanov A, Kulikova Y, Khokhlov D, Zolotukhina A, Svistushkin M, Svistushkin V. Post-Surgical Non-Invasive Wound Healing Monitoring in Oropharyngeal Mucosa. JOURNAL OF BIOPHOTONICS 2024; 17:e202400248. [PMID: 39210550 DOI: 10.1002/jbio.202400248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 07/26/2024] [Accepted: 07/29/2024] [Indexed: 09/04/2024]
Abstract
Postoperative bleeding is the most significant complication of tonsillectomy. Regular monitoring of post-surgical wound healing in the pharynx is required. For this purpose, we propose endoscope-based non-invasive perfusion mapping and quantification. The combination of imaging photoplethysmography and image processing provides automated wound area selection and microcirculation characterization. In this feasibility study, we demonstrate the first results of the proposed approach to wound monitoring in clinical trial on eight patients after tonsillectomy. Combination of probe-based optical system and image processing algorithms can provide the valuable and consistent data on perfusion distribution. The quantitative microcirculation data obtained 1, 4, and 7 days after surgery are in good agreement with existing monitoring protocols.
Collapse
Affiliation(s)
- Anastasia Guryleva
- Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, Moscow, Russia
| | - Alexander Machikhin
- Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, Moscow, Russia
| | | | - Yevgeniya Kulikova
- Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, Moscow, Russia
| | - Demid Khokhlov
- Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, Moscow, Russia
| | - Anastasia Zolotukhina
- Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, Moscow, Russia
| | | | | |
Collapse
|
|
11
|
Golash A, Yoong K, Saravanan R. Significant Missed Polyps in the UK Bowel Cancer Screening Programme (BCSP): A Retrospective Analysis of Prevalence and Contributing Factors. Cureus 2024; 16:e72360. [PMID: 39583395 PMCID: PMC11585915 DOI: 10.7759/cureus.72360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/25/2024] [Indexed: 11/26/2024] Open
Abstract
Background Colorectal cancer (CRC) remains a significant public health challenge. Patients having abnormal faecal immunochemical test (FIT) results are offered a colonoscopy. The effectiveness of colonoscopies can, however, often be challenged by the occurrence of missed polyps. This study aims to assess the rate of significant missed polyps in the Bowel Cancer Screening Programme (BCSP) in the UK. Methods A retrospective analysis of BSCP screening data in the Cheshire region in the UK from 2020 to March 2023 was conducted. A significant polyp was defined as a polyp ≥ 10mm. The inclusion criteria included patients (age range: 54-74 years) who had had an index colonoscopy followed by site checks, repeats, or planned polypectomies. Results Out of 2,759 index colonoscopies, 261 (9.5%) met our criteria, and 23 (8.8%) of these had significant polyps. Of the 261, the missed polyp rate was 30% (453/1531 polyps). The overall significant missed polyp rate was 1.6% (24/1531). Of the missed polyps, 5% (24/453) were significant polyps. The majority (71%) of the significant polyps were found on the left of the colon. Men had a higher missed polyp rate (22%) compared to women (7%) (relative risk (RR) = 2.56, 95% CI: 2.1-3.13, p<0.0001). They also had a higher significant missed polyp rate (1.1%) compared to women (0.4%) (RR = 2.41, 95% CI: 1-5.8, p<0.05). A total of 50% of the bowel prep at index colonoscopy was rated as 'adequate/fair' and 79% of the bowel prep at the discovery of the significant polyp was rated as either 'excellent' or 'good' (odds ratio (OR) = 3.8, 95% CI: 1.07-13.5, p<0.05); 92% (22/24) of the significant polyps found were either tubular adenoma (TA) low-grade dysplasia (LGD) or tubular villous adenoma (TVA) LGD, and none were found to be cancerous. Conclusions Almost a third of all polyps detected were missed, and one in 20 of these were significant polyps, putting these patients in the high-risk group for CRC. Improving bowel preparation and monitoring patients with multiple polyps could reduce the rate of missed polyps.
Collapse
Affiliation(s)
- Anita Golash
- Gastroenterology, Macclesfield District General Hospital, Macclesfield, GBR
| | - Kevin Yoong
- Gastroenterology, Leighton Hospital, Crewe, GBR
| | - Ramasamy Saravanan
- Gastroenterology, Macclesfield District General Hospital, Macclesfield, GBR
| |
Collapse
|
|
12
|
Pellegrino R, Gravina AG. When the vermiform appendix resembles a polyp: Be cautious of an intussuscepted appendix polypectomy. World J Clin Cases 2024; 12:6124-6128. [PMID: 39328857 PMCID: PMC11326104 DOI: 10.12998/wjcc.v12.i27.6124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 07/05/2024] [Accepted: 07/10/2024] [Indexed: 07/29/2024] Open
Abstract
This article discusses a recently published case report on a rare instance of type IV appendiceal intussusception with a concurrent mucinous adenocarcinoma of the cecum in a young individual. The report highlights challenges in diagnosing appendiceal intussusception, emphasizing the importance of endoscopic expertise in preventing impulsive decisions such as inappropriate polypectomies. The rarity of the concurrent intussuscepted appendix and mucinous cecal cancer is underscored, prompting consideration of malignancy in appendiceal intussusception cases. Additionally, the report addresses the increasing incidence of early-onset colorectal cancer and the need for a revaluation of diagnostic paradigms in the context of evolving epidemiological trends. The awareness of potential misinterpretations and the imperative for further investigation into this rare condition are emphasized.
Collapse
Affiliation(s)
- Raffaele Pellegrino
- Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Antonietta Gerarda Gravina
- Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| |
Collapse
|
|
13
|
Pellegrino R, Gravina AG. When the vermiform appendix resembles a polyp: Be cautious of an intussuscepted appendix polypectomy. World J Clin Cases 2024; 12:6132-6136. [DOI: 10.12998/wjcc.v12.i27.6132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 07/05/2024] [Accepted: 07/10/2024] [Indexed: 07/29/2024] Open
Abstract
This article discusses a recently published case report on a rare instance of type IV appendiceal intussusception with a concurrent mucinous adenocarcinoma of the cecum in a young individual. The report highlights challenges in diagnosing appendiceal intussusception, emphasizing the importance of endoscopic expertise in preventing impulsive decisions such as inappropriate polypectomies. The rarity of the concurrent intussuscepted appendix and mucinous cecal cancer is underscored, prompting consideration of malignancy in appendiceal intussusception cases. Additionally, the report addresses the increasing incidence of early-onset colorectal cancer and the need for a revaluation of diagnostic paradigms in the context of evolving epidemiological trends. The awareness of potential misinterpretations and the imperative for further investigation into this rare condition are emphasized.
Collapse
Affiliation(s)
- Raffaele Pellegrino
- Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Antonietta Gerarda Gravina
- Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| |
Collapse
|
|
14
|
Bar N, Abdelgani S, Lal S, Deutsch L. A look inside the gut as a clue to nutritional status. Curr Opin Clin Nutr Metab Care 2024; 27:443-450. [PMID: 38837038 DOI: 10.1097/mco.0000000000001049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
PURPOSE OF REVIEW Malabsorption and malnutrition are common gastrointestinal manifestations clinicians face, requiring diagnostic workup for effective diagnosis and management of the underlying cause. This review discusses recent advances in diagnostic approaches to malabsorption and maldigestion of macronutrients - lipids, proteins, and carbohydrates. We highlight underrecognized causes, available testing modalities, and ongoing diagnostic unmet needs. RECENT FINDINGS Innovations in the diagnostic landscape are enhancing our understanding of malabsorption syndromes. Stool collection and handling is uncomfortable and commonly avoided. The objective quantification of stool lipids, bile acids, and gut enzymes is therefore underused in the diagnosis and management of common disorders such as exocrine pancreatic insufficiency, bile acid diarrhea, protein-losing enteropathy, and more. We review the recent advancements in spot quantification of stool fat and bile acid content, endoscopic imaging techniques such as endocytoscopy, confocal laser endomicroscopy, and optical coherence tomography and the future place in clinical practice. SUMMARY Malabsorption and maldigestion represent significant challenges in clinical nutrition and gastroenterology. Through the integration of advanced diagnostic techniques, clinicians will be better equipped to tailor therapy and monitor treatment response, ultimately improving patient health outcomes. This review underscores the critical role of innovative diagnostic tools in accurately detecting and effectively managing gastrointestinal disorders linked to nutritional status.
Collapse
Affiliation(s)
- Nir Bar
- Department of Gastroenterology and Liver diseases, Tel-Aviv Sourasky Medical Center
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Siham Abdelgani
- Department of Gastroenterology and Liver diseases, Tel-Aviv Sourasky Medical Center
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Simon Lal
- Intestinal Failure Unit, Salford Royal NHS Foundation Trust, Salford
- Academic Health Sciences Centre, University of Manchester, Manchester, UK
| | - Liat Deutsch
- Department of Gastroenterology and Liver diseases, Tel-Aviv Sourasky Medical Center
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| |
Collapse
|
|
15
|
Hadizadeh A, Kazemi-Khaledi H, Fazeli MS, Ahmadi-Tafti SM, Keshvari A, Akbari-Asbagh R, Keramati MR, Kazemeini A, Fazeli AR, Behboudi B, Parsaei M. Predictive value of flexible proctosigmoidoscopy and laboratory findings for complete clinical responses after neoadjuvant chemoradiotherapy in patients with locally advanced primary rectal cancer: a retrospective cohort study. Int J Colorectal Dis 2024; 39:124. [PMID: 39096339 PMCID: PMC11297812 DOI: 10.1007/s00384-024-04696-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/22/2024] [Indexed: 08/05/2024]
Abstract
PURPOSE Colorectal cancer is the second leading cause of cancer death worldwide. Standard treatments for locally advanced rectal cancer include neoadjuvant chemoradiotherapy and total mesorectal excision (TME), which are associated with significant morbidity. After neoadjuvant therapy, one-third of patients achieve a pathological complete response (pCR) and are eligible for a watch-and-wait approach without TME. The purpose of this study was to determine the potential predictors of pCR before surgery. METHODS The demographic, clinical, and endoscopic data of 119 patients with primary locally advanced rectal cancer without distant metastasis who underwent restaging endoscopy and TME 6-8 weeks after the end of neoadjuvant therapy were collected. The absence of tumor cells in the histological examination of the TME specimen after neoadjuvant therapy was considered pCR. Binary logistic regression and receiver operating characteristic curves were utilized for analysis. RESULTS According to the multivariate logistic regression analysis, flattening of marginal tumor swelling (p value < 0.001, odds ratio = 100.605) emerged as an independent predictor of pCR in rectal cancer patients. Additionally, receiver operating characteristic curve analysis revealed that lower preoperative carcinoembryonic antigen and erythrocyte sedimentation rate levels predict pCR, with cutoffs of 2.15 ng/ml and 19.0 mm/h, respectively. CONCLUSION Carcinoembryonic antigen and erythrocyte sedimentation rate, along with the presence of flattening of marginal tumor swelling, can predict pCR after neoadjuvant chemoradiotherapy in patients with primary rectal cancer. These factors offer a potential method for selecting candidates for conservative treatment based on endoscopic and laboratory findings.
Collapse
Affiliation(s)
- Alireza Hadizadeh
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Kazemi-Khaledi
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran
| | - Mohammad-Sadegh Fazeli
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran
| | - Seyed-Mohsen Ahmadi-Tafti
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran
| | - Amir Keshvari
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran
| | - Reza Akbari-Asbagh
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran
- Research Center for Advanced Technologies in Cardiovascular Medicine, Cardiovascular Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad-Reza Keramati
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran
| | - Alireza Kazemeini
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran
| | - Amir-Reza Fazeli
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran.
| | - Behnam Behboudi
- Colorectal Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
- Division of Colorectal Surgery, Department of Surgery, Tehran University of Medical Sciences, Tehan, 1419733141, Iran.
| | - Mohammadamin Parsaei
- Maternal, Fetal & Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
|
16
|
Loganathan P, Gajendran M, Perisetti A, Goyal H, Mann R, Wright R, Saligram S, Thosani N, Umapathy C. Endoscopic Advances in the Diagnosis and Management of Gastroesophageal Reflux Disease. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1120. [PMID: 39064549 PMCID: PMC11278532 DOI: 10.3390/medicina60071120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 07/01/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024]
Abstract
Gastroesophageal reflux disease (GERD) is one of the most common diseases that occurs secondary to failure of the antireflux barrier system, resulting in the frequent and abnormal reflux of gastric contents to the esophagus. GERD is diagnosed in routine clinical practice based on the classic symptoms of heartburn and regurgitation. However, a subset of patients with atypical symptoms can pose challenges in diagnosing GERD. An esophagogastroduodenoscopy (EGD) is the most common initial diagnostic test used in the assessment for GERD, although half of these patients will not have any positive endoscopic findings suggestive of GERD. The advanced endoscopic techniques have improved the diagnostic yield of GERD diagnosis and its complications, such as Barrett's esophagus and early esophageal adenocarcinoma. These newer endoscopic tools can better detect subtle irregularities in the mucosa and vascular structures. The management options for GERD include lifestyle modifications, pharmacological therapy, and endoscopic and surgical interventions. The latest addition to the armamentarium is the minimally invasive endoscopic interventions in carefully selected patients, including the electrical stimulation of the LES, Antireflux mucosectomy, Radiofrequency therapy, Transoral Incisionless Fundoplication, Endoscopic Full-Thickness plication (GERDx™), and suturing devices. With the emergence of these advanced endoscopic techniques, it is crucial to understand their selection criteria, advantages, and disadvantages.
Collapse
Affiliation(s)
- Priyadarshini Loganathan
- Division of Gastroenterology & Nutrition, The University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA; (P.L.); (M.G.); (R.W.)
| | - Mahesh Gajendran
- Division of Gastroenterology & Nutrition, The University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA; (P.L.); (M.G.); (R.W.)
| | - Abhilash Perisetti
- Department of Gastroenterology and Hepatology, Kansas City VA Medical Center, Kansas City, MO 64128, USA;
| | - Hemant Goyal
- Department of Gastroenterology, Borland Groover, Baptist Medical Center-Downtown, Jacksonville, FL 32207, USA
| | - Rupinder Mann
- Department of Gastroenterology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Randy Wright
- Division of Gastroenterology & Nutrition, The University of Texas Health Science Center San Antonio, San Antonio, TX 78229, USA; (P.L.); (M.G.); (R.W.)
| | - Shreyas Saligram
- Department of Gastroenterology, Robert Wood Johnson University Hospital, New Brunswick, NJ 08901, USA;
| | - Nirav Thosani
- Department of Surgery, McGovern Medical School at UT Health, Houston, TX 77030, USA;
| | - Chandraprakash Umapathy
- Division of Gastroenterology & Nutrition, Audie L. Murphy VA Hospital, San Antonio, TX 78229, USA;
| |
Collapse
|
|
17
|
Cassinotti A, Duca P, Maconi G, Beretta E, Sampietro GM, Pellegrinelli A, Nebuloni M, Ardizzone S. Accuracy of optical diagnosis with narrow band imaging in the surveillance of ulcerative colitis: a prospective study comparing Kudo, Kudo-IBD and NICE classifications. Int J Colorectal Dis 2024; 39:77. [PMID: 38782770 PMCID: PMC11116216 DOI: 10.1007/s00384-024-04635-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2024] [Indexed: 05/25/2024]
Abstract
PURPOSE The diagnostic accuracy of Narrow Band Imaging (NBI) in the endoscopic surveillance of ulcerative colitis (UC) has been disappointing in most trials which used the Kudo classification. We aim to compare the performance of NBI in the lesion characterization of UC, when applied according to three different classifications (NICE, Kudo, Kudo-IBD). METHODS In a prospective, real-life study, all visible lesions found during consecutive surveillance colonoscopies with NBI (Exera-II CV-180) for UC were classified as suspected or non-suspected for neoplasia according to the NICE, Kudo and Kudo-IBD criteria. The sensitivity (SE), specificity (SP), positive (+LR) and negative (-LR) likelihood ratios of the three classifications were calculated, using histology as the reference standard. RESULTS 394 lesions (mean size 6 mm, range 2-40 mm) from 84 patients were analysed. Twenty-one neoplastic (5%), 49 hyperplastic (12%), and 324 inflammatory (82%) lesions were found. The diagnostic accuracy of the NICE, Kudo and Kudo-IBD classifications were, respectively: SE 76%-71%-86%; SP 55-69%-79% (p < 0.05 Kudo-IBD vs. both Kudo and NICE); +LR 1.69-2.34-4.15 (p < 0.05 Kudo-IBD vs. both Kudo and NICE); -LR 0.43-0.41-0.18. CONCLUSION The diagnostic accuracy of NBI in the differentiation of neoplastic and non-neoplastic lesions in UC is low if used with conventional classifications of the general population, but it is significantly better with the modified Kudo classification specific for UC.
Collapse
Affiliation(s)
- Andrea Cassinotti
- Gastroenterology Unit, ASST Fatebenefratelli Sacco, Luigi Sacco University Hospital, Milan, Italy
- Gastroenterology and Digestive Endoscopy Unit, ASST Sette Laghi, Varese, Italy
| | | | - Giovanni Maconi
- Gastroenterology Unit, ASST Fatebenefratelli Sacco, Luigi Sacco University Hospital, Milan, Italy.
- Department of Biochemical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy.
| | - Elena Beretta
- Gastroenterology Unit, ASST Fatebenefratelli Sacco, Luigi Sacco University Hospital, Milan, Italy
| | | | | | - Manuela Nebuloni
- Department of Biochemical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy
- Pathology Unit, ASST Fatebenefratelli Sacco, Luigi Sacco University Hospital, Milan, Italy
| | - Sandro Ardizzone
- Gastroenterology Unit, ASST Fatebenefratelli Sacco, Luigi Sacco University Hospital, Milan, Italy
- Department of Biochemical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy
| |
Collapse
|
|
18
|
Spagnuolo R, Scarlata GGM, Paravati MR, Abenavoli L, Luzza F. Change in Diagnosis of Helicobacter pylori Infection in the Treatment-Failure Era. Antibiotics (Basel) 2024; 13:357. [PMID: 38667033 PMCID: PMC11047737 DOI: 10.3390/antibiotics13040357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/08/2024] [Accepted: 04/10/2024] [Indexed: 04/29/2024] Open
Abstract
Helicobacter pylori (H. pylori) infection is a prevalent global health issue, associated with several gastrointestinal disorders, including gastritis, peptic ulcers, and gastric cancer. The landscape of H. pylori treatment has evolved over the years, with increasing challenges due to antibiotic resistance and treatment failure. Traditional diagnostic methods, such as the urea breath test, stool antigen test, and endoscopy with biopsy, are commonly used in clinical practice. However, the emergence of antibiotic-resistant strains has led to a decline in treatment efficacy, necessitating a re-evaluation of common diagnostic tools. This narrative review aims to explore the possible changes in the diagnostic approach of H. pylori infection in the era of treatment failure. Molecular techniques, including polymerase chain reaction and whole genome sequencing, which have high sensitivity and specificity, allow the detection of genes associated with antibiotic resistance. On the other hand, culture isolation and a phenotypic antibiogram could be used in the diagnostic routine, although H. pylori is a fastidious bacterium. However, new molecular approaches are promising tools for detecting the pathogen and its resistance genes. In this regard, more real-life studies are needed to reveal new diagnostic tools suitable for identifying multidrug-resistant H. pylori strains and for outlining proper treatment.
Collapse
Affiliation(s)
| | | | | | | | - Francesco Luzza
- Department of Health Sciences, University “Magna Graecia”, 88100 Catanzaro, Italy; (R.S.); (G.G.M.S.); (M.R.P.); (L.A.)
| |
Collapse
|
|
19
|
Ortiz O, Daca-Alvarez M, Rivero-Sánchez L, Saez De Gordoa K, Moreira R, Cuatrecasas M, Balaguer F, Pellisé M. Linked-color imaging versus high definition white-light endoscopy for evaluation of post-polypectomy scars of nonpedunculated lesions: LCI-Scar study. Endoscopy 2024; 56:283-290. [PMID: 37931908 DOI: 10.1055/a-2204-3236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
BACKGROUND Detection and treatment of recurrence after piecemeal endoscopic mucosal resection of nonpedunculated colorectal polyps are crucial for avoidance of post-colonoscopy cancer. Linked-color imaging (LCI) has demonstrated improved polyp detection but has never been assessed for evaluation of post-polypectomy scars. Our aim was to compare sensitivity and negative predictive value (NPV) between LCI and white-light endoscopy (WLE) for detection of post-polypectomy recurrence. METHODS Patients undergoing surveillance colonoscopy after resection of lesions ≥15 mm were included in this prospective, single-center, randomized, crossover study. Each post-polypectomy scar underwent two examinations, one with LCI and the other with WLE, performed by two blinded endoscopists. Blue-light imaging (BLI) was then applied. A diagnosis of recurrence with a level of confidence was made for each modality and histopathology was the gold standard. RESULTS 129 patients with 173 scars were included. Baseline patient, lesion, and procedural characteristics were similar in both arms. Recurrence was detected in 56/173 (32.4%), with 27/56 (48.2%) adenomas and 29/56 (51.8%) serrated lesions. LCI had greater sensitivity (96.4% [95%CI 87.8%-99.5%]) versus WLE (89.3% [95%CI 78.1%-95.9%]) and greater NPV (98.1% [95%CI 93.4%-99.8%] versus 94.6% [95%CI 88.7%-98.0%]). Paired concordance between modalities was 96.0%. In discordant cases, LCI identified four true-positive cases not detected by WLE and reclassified one false-positive of WLE. WLE reclassified two false positives of LCI without any increase in recurrence detection. CONCLUSIONS LCI was highly accurate and had greater ability than WLE to rule out recurrence on post-polypectomy scars after resection of large polyps.
Collapse
Affiliation(s)
- Oswaldo Ortiz
- Department of Gastroenterology, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Maria Daca-Alvarez
- Department of Gastroenterology, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Liseth Rivero-Sánchez
- Department of Gastroenterology, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | | | - Rebeca Moreira
- Department of Gastroenterology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Miriam Cuatrecasas
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Pathology, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Francesc Balaguer
- Department of Gastroenterology, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Maria Pellisé
- Department of Gastroenterology, Hospital Clínic de Barcelona, Barcelona, Spain
| |
Collapse
|
|
20
|
Rabago LR, Delgado Galan M. Precision in detecting colon lesions: A key to effective screening policy but will it improve overall outcomes? World J Gastrointest Endosc 2024; 16:102-107. [PMID: 38577643 PMCID: PMC10989250 DOI: 10.4253/wjge.v16.i3.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 12/29/2023] [Accepted: 01/23/2024] [Indexed: 03/14/2024] Open
Abstract
Colonoscopy is the gold standard for the screening and diagnosis of colorectal cancer, resulting in a decrease in the incidence and mortality of colon cancer. However, it has a 21% rate of missed polyps. Several strategies have been devised to increase polyp detection rates and improve their characterization and delimitation. These include chromoendoscopy (CE), the use of other devices such as Endo cuffs, and major advances in endoscopic equipment [high definition, magnification, narrow band imaging, i-scan, flexible spectral imaging color enhancement, texture and color enhancement imaging (TXI), etc.]. In the retrospective study by Hiramatsu et al, they compared white-light imaging with CE, TXI, and CE + TXI to determine which of these strategies allows for better definition and delimitation of polyps. They concluded that employing CE associated with TXI stands out as the most effective method to utilize. It remains to be demonstrated whether these results are extrapolatable to other types of virtual CE. Additionally, further investigation is needed in order to ascertain whether this strategy could lead to a reduction in the recurrence of excised lesions and potentially lower the occurrence of interval cancer.
Collapse
Affiliation(s)
- Luis Ramon Rabago
- Department of Gastroenterology, Hospital San Rafael, Madrid 28016, Spain
| | | |
Collapse
|
|
21
|
Lou JX, Wu Y, Huhe M, Zhang JJ, Jia DW, Jiang ZY. Diagnosis of poorly differentiated adenocarcinoma of the stomach by confocal laser endomicroscopy: A case report. World J Clin Cases 2024; 12:1481-1486. [PMID: 38576802 PMCID: PMC10989440 DOI: 10.12998/wjcc.v12.i8.1481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/20/2024] [Accepted: 02/25/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND In recent years, confocal laser endomicroscopy (CLE) has become a new endoscopic imaging technology at the microscopic level, which is extensively performed for real-time in vivo histological examination. CLE can be performed to distinguish benign from malignant lesions. In this study, we diagnosed using CLE an asymptomatic patient with poorly differentiated gastric adenocarcinoma. CASE SUMMARY A 63-year-old woman was diagnosed with gastric mucosal lesions, which may be gastric cancer, in the small curvature of the stomach by gastroscopy. She consented to undergo CLE for morphological observation of the gastric mucosa. Through the combination of CLE diagnosis and postoperative pathology, the intraoperative CLE diagnosis was considered to be reliable. According to our experience, CLE can be performed as the first choice for the diagnosis of gastric cancer. CONCLUSION CLE has several advantages over pathological diagnosis. We believe that CLE has great potential in the diagnosis of benign and malignant gastric lesions.
Collapse
Affiliation(s)
- Jia-Xin Lou
- Department of Gastroenterology, The Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014030, Inner Mongolia Autonomous Region, China
| | - Yong Wu
- Department of Gastroenterology, The Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014030, Inner Mongolia Autonomous Region, China
| | - Muren Huhe
- Medical Innovation Center, The Fourth Military Medical University, Xi'an 710000, Shaanxi Province, China
| | - Jing-Jie Zhang
- Department of Gastroenterology, The Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014030, Inner Mongolia Autonomous Region, China
| | - Dong-Wu Jia
- Department of Gastroenterology, The Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014030, Inner Mongolia Autonomous Region, China
| | - Zhen-Yu Jiang
- Department of Gastroenterology, The Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014030, Inner Mongolia Autonomous Region, China
| |
Collapse
|
|
22
|
Fischbach W, Bornschein J, Hoffmann JC, Koletzko S, Link A, Macke L, Malfertheiner P, Schütte K, Selgrad DM, Suerbaum S, Schulz C. Update S2k-Guideline Helicobacter pylori and gastroduodenal ulcer disease of the German Society of Gastroenterology, Digestive and Metabolic Diseases (DGVS). ZEITSCHRIFT FUR GASTROENTEROLOGIE 2024; 62:261-321. [PMID: 38364851 DOI: 10.1055/a-2181-2225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Affiliation(s)
| | - Jan Bornschein
- Translational Gastroenterology Unit John, John Radcliffe Hospital Oxford University Hospitals, Oxford, United Kingdom
| | - Jörg C Hoffmann
- Medizinische Klinik I, St. Marien- und St. Annastiftskrankenhaus, Ludwigshafen, Deutschland
| | - Sibylle Koletzko
- Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital, LMU-Klinikum Munich, Munich, Deutschland
- Department of Paediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum University of Warmia and Mazury, 10-719 Olsztyn, Poland
| | - Alexander Link
- Klinik für Gastroenterologie, Hepatologie und Infektiologie, Universitätsklinikum Magdeburg, Magdeburg, Deutschland
| | - Lukas Macke
- Medizinische Klinik und Poliklinik II Campus Großhadern, Universitätsklinikum Munich, Munich, Deutschland
- Deutsches Zentrum für Infektionsforschung, Standort Munich, Munich, Deutschland
| | - Peter Malfertheiner
- Klinik für Gastroenterologie, Hepatologie und Infektiologie, Universitätsklinikum Magdeburg, Magdeburg, Deutschland
- Medizinische Klinik und Poliklinik II Campus Großhadern, Universitätsklinikum Munich, Munich, Deutschland
| | - Kerstin Schütte
- Klinik für Allgemeine Innere Medizin und Gastroenterologie, Niels-Stensen-Kliniken Marienhospital Osnabrück, Osnabrück, Deutschland
| | - Dieter-Michael Selgrad
- Medizinische Klinik Gastroenterologie und Onkologie, Klinikum Fürstenfeldbruck, Fürstenfeldbruck, Deutschland
- Klinik für Innere Medizin 1, Universitätsklinikum Regensburg, Regensburg, Deutschland
| | - Sebastian Suerbaum
- Universität Munich, Max von Pettenkofer-Institut für Hygiene und Medizinische Mikrobiologie, Munich, Deutschland
- Nationales Referenzzentrum Helicobacter pylori, Pettenkoferstr. 9a, 80336 Munich, Deutschland
- Deutsches Zentrum für Infektionsforschung, Standort Munich, Munich, Deutschland
| | - Christian Schulz
- Medizinische Klinik und Poliklinik II Campus Großhadern, Universitätsklinikum Munich, Munich, Deutschland
- Deutsches Zentrum für Infektionsforschung, Standort Munich, Munich, Deutschland
| |
Collapse
|
|
23
|
Elshaarawy O, Alboraie M, El-Kassas M. Artificial Intelligence in endoscopy: A future poll. Arab J Gastroenterol 2024; 25:13-17. [PMID: 38220477 DOI: 10.1016/j.ajg.2023.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 09/18/2022] [Accepted: 11/28/2023] [Indexed: 01/16/2024]
Abstract
Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time.
Collapse
Affiliation(s)
- Omar Elshaarawy
- Hepatology and Gastroenterology Department, National Liver Institute, Menoufia University, Menoufia, Egypt; Gastroenterology Department, Royal Liverpool University Hospital, NHS, UK
| | - Mohamed Alboraie
- Department of Internal Medicine, Al-Azhar University, Cairo, Egypt
| | - Mohamed El-Kassas
- Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt.
| |
Collapse
|
|
24
|
Khalaf K, Fujiyoshi MRA, Spadaccini M, Rizkala T, Ramai D, Colombo M, Fugazza A, Facciorusso A, Carrara S, Hassan C, Repici A. From Staining Techniques to Artificial Intelligence: A Review of Colorectal Polyps Characterization. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:89. [PMID: 38256350 PMCID: PMC10818333 DOI: 10.3390/medicina60010089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/24/2023] [Accepted: 12/26/2023] [Indexed: 01/24/2024]
Abstract
This review article provides a comprehensive overview of the evolving techniques in image-enhanced endoscopy (IEE) for the characterization of colorectal polyps, and the potential of artificial intelligence (AI) in revolutionizing the diagnostic accuracy of endoscopy. We discuss the historical use of dye-spray and virtual chromoendoscopy for the characterization of colorectal polyps, which are now being replaced with more advanced technologies. Specifically, we focus on the application of AI to create a "virtual biopsy" for the detection and characterization of colorectal polyps, with potential for replacing histopathological diagnosis. The incorporation of AI has the potential to provide an evolutionary learning system that aids in the diagnosis and management of patients with the best possible outcomes. A detailed analysis of the literature supporting AI-assisted diagnostic techniques for the detection and characterization of colorectal polyps, with a particular emphasis on AI's characterization mechanism, is provided. The benefits of AI over traditional IEE techniques, including the reduction in human error in diagnosis, and its potential to provide an accurate diagnosis with similar accuracy to the gold standard are presented. However, the need for large-scale testing of AI in clinical practice and the importance of integrating patient data into the diagnostic process are acknowledged. In conclusion, the constant evolution of IEE technology and the potential for AI to revolutionize the field of endoscopy in the future are presented.
Collapse
Affiliation(s)
- Kareem Khalaf
- Division of Gastroenterology, St. Michael’s Hospital, University of Toronto, Toronto, ON M5B 1T8, Canada; (K.K.); (M.R.A.F.)
| | - Mary Raina Angeli Fujiyoshi
- Division of Gastroenterology, St. Michael’s Hospital, University of Toronto, Toronto, ON M5B 1T8, Canada; (K.K.); (M.R.A.F.)
- Digestive Diseases Center, Showa University Koto Toyosu Hospital, Tokyo 135-8577, Japan
| | - Marco Spadaccini
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
| | - Tommy Rizkala
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
| | - Daryl Ramai
- Gastroenterology and Hepatology, University of Utah Health, Salt Lake City, UT 84132, USA;
| | - Matteo Colombo
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
| | - Alessandro Fugazza
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
| | - Antonio Facciorusso
- Department of Endoscopy, Section of Gastroenterology, Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy;
| | - Silvia Carrara
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
| | - Cesare Hassan
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
| | - Alessandro Repici
- Department of Endoscopy, Humanitas Research Hospital, IRCCS, 20089 Rozzano, Italy; (T.R.); (M.C.); (A.F.); (S.C.); (C.H.); (A.R.)
- Department of Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
| |
Collapse
|
|
25
|
Su X, Liu W, Jiang S, Gao X, Chu Y, Ma L. Deep learning-based anatomical position recognition for gastroscopic examination. Technol Health Care 2024; 32:39-48. [PMID: 38669495 PMCID: PMC11191429 DOI: 10.3233/thc-248004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
BACKGROUND The gastroscopic examination is a preferred method for the detection of upper gastrointestinal lesions. However, gastroscopic examination has high requirements for doctors, especially for the strict position and quantity of the archived images. These requirements are challenging for the education and training of junior doctors. OBJECTIVE The purpose of this study is to use deep learning to develop automatic position recognition technology for gastroscopic examination. METHODS A total of 17182 gastroscopic images in eight anatomical position categories are collected. Convolutional neural network model MogaNet is used to identify all the anatomical positions of the stomach for gastroscopic examination The performance of four models is evaluated by sensitivity, precision, and F1 score. RESULTS The average sensitivity of the method proposed is 0.963, which is 0.074, 0.066 and 0.065 higher than ResNet, GoogleNet and SqueezeNet, respectively. The average precision of the method proposed is 0.964, which is 0.072, 0.067 and 0.068 higher than ResNet, GoogleNet, and SqueezeNet, respectively. And the average F1-Score of the method proposed is 0.964, which is 0.074, 0.067 and 0.067 higher than ResNet, GoogleNet, and SqueezeNet, respectively. The results of the t-test show that the method proposed is significantly different from other methods (p< 0.05). CONCLUSION The method proposed exhibits the best performance for anatomical positions recognition. And the method proposed can help junior doctors meet the requirements of completeness of gastroscopic examination and the number and position of archived images quickly.
Collapse
Affiliation(s)
- Xiufeng Su
- Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, China
| | - Weiyu Liu
- Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, China
| | - Suyi Jiang
- Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, China
| | - Xiaozhong Gao
- Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, China
| | - Yanliu Chu
- Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, China
| | - Liyong Ma
- School of Information Science and Engineering, Harbin Institute of Technology, Weihai, Shandong, China
| |
Collapse
|
|
26
|
Xia J, Jiang B, Pan J, Liao Z. Imaging of gastrointestinal endoscopy. TRANSPATHOLOGY 2024:171-183. [DOI: 10.1016/b978-0-323-95223-1.00026-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
|
|
27
|
Vasapolli R, Neuhaus L, Schirra J, Neumann J, Mayerle J, Malfertheiner P, Schulz C. Microscopic alterations of the gastric mucosa in preneoplastic lesions as assessed by new-generation endocytoscopy. Endoscopy 2023; 55:E998-E1000. [PMID: 37604457 PMCID: PMC10442195 DOI: 10.1055/a-2119-1212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Affiliation(s)
- Riccardo Vasapolli
- Medical Department II, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany
- DZIF Deutsches Zentrum für Infektionsforschung, Partner Site Munich, Germany
| | - Lukas Neuhaus
- Medical Department II, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany
| | - Jörg Schirra
- Medical Department II, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany
| | - Jens Neumann
- Institute of Pathology, Faculty of Medicine, Ludwig Maximilians University of Munich, Munich, Germany
| | - Julia Mayerle
- Medical Department II, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany
| | - Peter Malfertheiner
- Medical Department II, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany
| | - Christian Schulz
- Medical Department II, University Hospital of the Ludwig Maximilians University Munich, Munich, Germany
- DZIF Deutsches Zentrum für Infektionsforschung, Partner Site Munich, Germany
| |
Collapse
|
|
28
|
Cassinotti A, Parravicini M, Chapman TP, Balzarini M, Canova L, Segato S, Zadro V, Travis S, Segato S. Endoscopic characterization of neoplastic and non-neoplastic lesions in inflammatory bowel disease: systematic review in the era of advanced endoscopic imaging. Therap Adv Gastroenterol 2023; 16:17562848231208667. [PMID: 37954537 PMCID: PMC10638882 DOI: 10.1177/17562848231208667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 10/03/2023] [Indexed: 11/14/2023] Open
Abstract
Background Current guidelines strongly recommend the use of validated classifications to support optical diagnosis of lesions with advanced endoscopic imaging in the lower gastrointestinal tract. However, the optimal strategy in inflammatory bowel disease (IBD) is still a matter of debate. Objectives To analyze the accuracy of endoscopic classifications or single predictors for in vivo lesion characterization during endoscopic surveillance of IBD with advanced endoscopic imaging. Design Systematic review. Data sources and methods Medline and PubMed were used to extract all studies which focused on lesion characterization of neoplastic and non-neoplastic lesions in IBD. The diagnostic accuracy of endoscopic classifications and single endoscopic predictors for lesion characterization were analyzed according to type of patients, lesions, and technology used. When available, the rates of true and false positives or negatives for neoplasia were pooled and the sensitivity (SE), specificity (SP), positive predictive value, and negative predictive value (NPV) were calculated. Results We included 35 studies (2789 patients; 5925 lesions - 1149 neoplastic). Advanced endoscopic imaging included dye-based chromoendoscopy, virtual chromoendoscopy (VCE), magnification and high-definition endoscopy, confocal laser endomicroscopy (CLE), endocytoscopy, and autofluorescence imaging. The Kudo classification of pit patterns was most frequently used, with pooled SE 83%, SP 83%, and NPV 95%. The endoscopic criteria with the highest accuracy, with minimum SE ⩾ 90%, SP ⩾ 80%, and NPV ⩾ 90% were: the Kudo-IBD classification used with VCE (Fuji Intelligent Color Enhancement and i-SCAN); combined irregular surface and vascular patterns used with narrow band imaging; the Mainz classification used with CLE. Multiple clinical and technical factors were found to influence the accuracy of optical diagnosis in IBD. Conclusion No single endoscopic factor has yet shown sufficient accuracy for lesion characterization in IBD surveillance. Conventional classifications developed in the non-IBD setting have lower accuracy in IBD. The use of new classifications adapted for IBD (Kudo-IBD), and new technologies based on in vivo microscopic analysis show promise.
Collapse
Affiliation(s)
- Andrea Cassinotti
- Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo and Fondazione Macchi University Hospital, ASST Sette Laghi, viale Borri 57, 21100 Varese, Italy
| | - Marco Parravicini
- Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo and Fondazione Macchi University Hospital, ASST Sette Laghi, Varese, Italy
| | - Thomas P. Chapman
- Department of Gastroenterology, St Richard’s and Worthing Hospitals, University Hospitals Sussex NHS Foundation Trust, West Sussex, UK
| | - Marco Balzarini
- Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo and Fondazione Macchi University Hospital, ASST Sette Laghi, Varese, Italy
| | - Lorenzo Canova
- Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo and Fondazione Macchi University Hospital, ASST Sette Laghi, Varese, Italy
| | - Simone Segato
- Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo and Fondazione Macchi University Hospital, ASST Sette Laghi, Varese, Italy
| | - Valentina Zadro
- Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo and Fondazione Macchi University Hospital, ASST Sette Laghi, Varese, Italy
| | - Simon Travis
- Translational Gastroenterology Unit, Nuffield Department of Medicine, and Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Biomedical Research Centre, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Sergio Segato
- Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo and Fondazione Macchi University Hospital, ASST Sette Laghi, Varese, Italy
| |
Collapse
|
|
29
|
Simadibrata DM, Lesmana E, Fass R. Role of endoscopy in gastroesophageal reflux disease. Clin Endosc 2023; 56:681-692. [PMID: 37822063 PMCID: PMC10665616 DOI: 10.5946/ce.2023.182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 10/13/2023] Open
Abstract
In general, gastroesophageal reflux disease (GERD) is diagnosed clinically based on typical symptoms and/or response to proton pump inhibitor treatment. Upper gastrointestinal endoscopy is reserved for patients presenting with alarm symptoms, such as dysphagia, odynophagia, significant weight loss, gastrointestinal bleeding, or anorexia; those who meet the criteria for Barrett's esophagus screening; those who report a lack or partial response to proton pump inhibitor treatment; and those with prior endoscopic or surgical anti-reflux interventions. Newer endoscopic techniques are primarily used to increase diagnostic yield and provide an alternative to medical or surgical treatment for GERD. The available endoscopic modalities for the diagnosis of GERD include conventional endoscopy with white-light imaging, high-resolution and high-magnification endoscopy, chromoendoscopy, image-enhanced endoscopy (narrow-band imaging, I- SCAN, flexible spectral imaging color enhancement, blue laser imaging, and linked color imaging), and confocal laser endomicroscopy. Endoscopic techniques for treating GERD include esophageal radiofrequency energy delivery/Stretta procedure, transoral incisionless fundoplication, and endoscopic full-thickness plication. Other novel techniques include anti-reflux mucosectomy, peroral endoscopic cardiac constriction, endoscopic submucosal dissection, and endoscopic band ligation. Currently, many of the new endoscopic techniques are not widely available, and their use is limited to centers of excellence.
Collapse
Affiliation(s)
- Daniel Martin Simadibrata
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Elvira Lesmana
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Ronnie Fass
- Division of Gastroenterology and Hepatology, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH, USA
| |
Collapse
|
|
30
|
Arthur C, Huangfu H, Li M, Dong Z, Asamoah E, Shaibu Z, Zhang D, Ja L, Obwoya RT, Zhang C, Han R, Yan X, Zhang S, Dakura C, Dormocara A, Yu W. The Effectiveness of White Light Endoscopy Combined With Narrow Band Imaging Technique Using Ni Classification in Detecting Early Laryngeal Carcinoma in 114 Patients: Our Clinical Experience. J Voice 2023:S0892-1997(23)00280-1. [PMID: 37891128 DOI: 10.1016/j.jvoice.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 10/29/2023]
Abstract
INTRODUCTION By displaying tumor-specific neoangiogenesis, narrow band imaging (NBI), a novel imaging approach, enhances the diagnosis of head and neck cancers and makes it more accurate OBJECTIVE: To determine the effect of NBI in combination with white light endoscopy (WLE) for diagnosis of preneoplastic or neoplastic laryngeal cancers according to Ni classification and to conclude if higher Ni classification and tumor stage are related. METHODS We enrolled 114 patients with various laryngeal cancer between December 2018 and June 2021. Patients were examined with WLE and NBI. Squamous cell carcinoma (SCC) accounted for 46 cases, benign lesions 30 cases, and nondysplastic, low-grade, and severe dysplasias for 38 cases. Based on characteristics of the intraepithelial papillary capillary loop (IPCL), endoscopic NBI results were divided into five categories (I, II, III, IV, and V). Type I-IV are regarded to be benign, while type V is considered to be cancerous. An incisional biopsy was conducted to assess histopathology, and the histopathology was compared to the NBI results. We assessed the negative predictive value (NPV), positive predictive value (PPV), specificity, and sensitivity for WLE alone and WLE combined with NBI. Analyses were conducted using SPSS software version 26. RESULTS The WLE combined with NBI showed excellent sensitivity (96%) compared to WLE (86.4%). Specificity was higher in the WLE combined with NBI (96.4%) than WLE alone (91.7%). WLE combined with NBI saw a NPV of 89% as compared with WLE with 88%. WLE and WLE in combination with NBI, recorded a PPV of 90% and 98%, respectively. CONCLUSION The accuracy of detecting laryngeal cancer increases when WLE and NBI are combined. Combined NBI with WLE remains highly sensitive to early glottis cancer. Accuracy of preoperative NBI was high. In the diagnosis of laryngeal cancer, a higher Ni classification closely correlates with the late stages of the glottis tumor.
Collapse
Affiliation(s)
- Clement Arthur
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hui Huangfu
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
| | - MengLu Li
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zhen Dong
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Emmanuel Asamoah
- Department of Health Sciences, University of York, York City, United Kingdom
| | - Zakari Shaibu
- School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Di Zhang
- Basic Medical Department, Shanxi Medical University, Jinzhong, Shanxi, China
| | - Lina Ja
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Rubangakene T Obwoya
- College of Electrical and Control engineering, Shaanxi University of Science and Technology, Xian City, Shaanxi Province, China
| | - Chunming Zhang
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Rui Han
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xiuwen Yan
- Department of Cardiothoracic Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Sen Zhang
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Christina Dakura
- Department of Science and Mathematics, Oti Senior High Technical School, Dambai City, Oti Region, Ghana
| | - Amos Dormocara
- College of Pharmaceutical Sciences, Pharmaceutics controlled released and drug delivery, Soochow University, Suzhou, Jiangsu, China
| | - Wenjie Yu
- Department of Otolaryngology-Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| |
Collapse
|
|
31
|
Mohan A, Asghar Z, Abid R, Subedi R, Kumari K, Kumar S, Majumder K, Bhurgri AI, Tejwaney U, Kumar S. Revolutionizing healthcare by use of artificial intelligence in esophageal carcinoma - a narrative review. Ann Med Surg (Lond) 2023; 85:4920-4927. [PMID: 37811030 PMCID: PMC10553069 DOI: 10.1097/ms9.0000000000001175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 08/05/2023] [Indexed: 10/10/2023] Open
Abstract
Esophageal cancer is a major cause of cancer-related mortality worldwide, with significant regional disparities. Early detection of precursor lesions is essential to improve patient outcomes. Artificial intelligence (AI) techniques, including deep learning and machine learning, have proved to be of assistance to both gastroenterologists and pathologists in the diagnosis and characterization of upper gastrointestinal malignancies by correlating with the histopathology. The primary diagnostic method in gastroenterology is white light endoscopic evaluation, but conventional endoscopy is partially inefficient in detecting esophageal cancer. However, other endoscopic modalities, such as narrow-band imaging, endocytoscopy, and endomicroscopy, have shown improved visualization of mucosal structures and vasculature, which provides a set of baseline data to develop efficient AI-assisted predictive models for quick interpretation. The main challenges in managing esophageal cancer are identifying high-risk patients and the disease's poor prognosis. Thus, AI techniques can play a vital role in improving the early detection and diagnosis of precursor lesions, assisting gastroenterologists in performing targeted biopsies and real-time decisions of endoscopic mucosal resection or endoscopic submucosal dissection. Combining AI techniques and endoscopic modalities can enhance the diagnosis and management of esophageal cancer, improving patient outcomes and reducing cancer-related mortality rates. The aim of this review is to grasp a better understanding of the application of AI in the diagnosis, treatment, and prognosis of esophageal cancer and how computer-aided diagnosis and computer-aided detection can act as vital tools for clinicians in the long run.
Collapse
Affiliation(s)
| | | | - Rabia Abid
- Liaquat College of Medicine and Dentistry
| | - Rasish Subedi
- Universal College of Medical Sciences, Siddharthanagar, Nepal
| | | | | | | | - Aqsa I. Bhurgri
- Shaheed Muhtarma Benazir Bhutto Medical University, Larkana, Pakistan
| | | | - Sarwan Kumar
- Department of Medicine, Chittagong Medical College, Chittagong, Bangladesh
- Wayne State University, Michigan, USA
| |
Collapse
|
|
32
|
Mohammed Saad MAE, EL-Moniem SMA, Ibrahim DA, Shabana HR. The validity of I-Scan in diagnosis of gastroesophageal reflux disease. GASTROENTEROLOGY & HEPATOLOGY: OPEN ACCESS 2023; 14:118-125. [DOI: 10.15406/ghoa.2023.14.00556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Background: The evaluation of patients with suspected gastroesophageal reflux disease (GERD) frequently represents a diagnostic dilemma. Confirmation of the presence of the esophogeal mucosal injury is one of the roles of endoscopy in GERD diagnosis. In this context, there are limitations of white light endoscopy (WLE) because of the inadequate visualization of the minute mucosal changes and the uncertainty in describing the severity of mucosal injury. I-SCAN technology helps in revealing fine details of the GI mucosa. Aim: to evaluate the diagnostic efficacy of I-SCAN technology as compared to white light endoscopy (WLE) in Egyptian patients suffering from GERD symptoms. Patients and methods: This study included adult patients with GERD questionnaire (Q) score ≥ 8 points. The distal esophagus was examined by WLE followed by I-SCAN 2 to evaluate the presence of mucosal injuries and to classify GERD severity according to the Los Angles (LA) classification & its Japanese modification, respectively. Biopsies were taken from the lower esophageal mucosa as well as from the visible mucosal breaks and subjected to histopathologic examination. Results: Sixty patients were enrolled; 32 (53.3%) were females & 28 (46.7%) were males. WLE showed erosive reflux disease (ERD) in 41 patients (68.3%); while 19 patients (31.7%) showed no mucosal breaks. As regard LA classification; 18 of the cases were classified as grade A (30%); 15 as grade B (25%); 7 as grade C (11.7%) and 1 as grade D (1.7%). Reexamination of distal esophagus by I-SCAN 2 showed minimal change esophagitis (MCE) (grade M) & ERD in 57 patients (95%); while only 3 patients (5%) showed no mucosal changes (grade N). As regard the modified LA classification; 16 cases were classified as grade M (26.6%); 12 as grade A (20%); 21 as grade B (35%); 7 as grade C (11.7%) and 1 as grade D (1.7%). There was perfect agreement of WLE with I-SCAN 2 in LA grades B, C & D. There was poor agreement of WLE with I-SCAN 2 in cases who had no mucosal breaks & LA grade A cases on WLE (weighted Kappa was 0.11); as 16 cases were reclassified as grade M on I-SCAN 2 (had no mucosal breaks on WLE) and 6 cases were reclassified as class B on I-SCAN 2(were classified as grade A on WLE). As regard the histological proven reflux esophagitis (HPRE), it was present in 41 (68.3%) of the studied cases with statistically significant higher proportion of male gender. It was present in 28 (68.3%) of the patients who had ERD on WLE; 13(68.4%) of the patients who had no mucosal breaks on WLE; 38 (66.6%) of the cases who had grade M or ERD on I-SCAN 2 & the three patients who had grade N on I-SCAN 2.GERD Q score ranged from 10 to 12 points with median of 11 points. It was significantly higher in patients with HPRE (11.4 ± 1.8 points) than those without (10.3 ± 1.3 points) (p= 0.026). GERD Q score strongly correlated with both the modified LA grade by I-SCAN 2 (p=0.03) and the histological severity score (p=0,016). On univariate & multivariate analysis, male gender and GERD Q score > 11points were significant predictors of HPRE (p < .001). ROC analysis curve showed that GERD Q score at a cut-off > 11points was a significant predictor of HPRE with a sensitivity of 47%, specificity of 85%, AUC of 66.7% and p = 0.015. Conclusion: I-SCAN technology may improve the diagnosis of the esophogeal mucosal injury in GERD patients. There was poor agreement of WLE with I-SCAN 2 in patients who had no mucosal breaks & those with LA grade A on WLE. However, there was perfect agreement of WLE with I-SCAN 2 in patients with LA grades B, C& D. GERD Q score had positive correlation with both the modified LA grade on I-SCAN 2 and the histological severity score. Male gender and GERD Q score > 11points were significant predictors of histological proven reflux esophagitis.
Collapse
|
|
33
|
Chou CK, Nguyen HT, Wang YK, Chen TH, Wu IC, Huang CW, Wang HC. Preparing Well for Esophageal Endoscopic Detection Using a Hybrid Model and Transfer Learning. Cancers (Basel) 2023; 15:3783. [PMID: 37568599 PMCID: PMC10417640 DOI: 10.3390/cancers15153783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/17/2023] [Accepted: 07/23/2023] [Indexed: 08/13/2023] Open
Abstract
Early detection of esophageal cancer through endoscopic imaging is pivotal for effective treatment. However, the intricacies of endoscopic diagnosis, contingent on the physician's expertise, pose challenges. Esophageal cancer features often manifest ambiguously, leading to potential confusions with other inflammatory esophageal conditions, thereby complicating diagnostic accuracy. In recent times, computer-aided diagnosis has emerged as a promising solution in medical imaging, particularly within the domain of endoscopy. Nonetheless, contemporary AI-based diagnostic models heavily rely on voluminous data sources, limiting their applicability, especially in scenarios with scarce datasets. To address this limitation, our study introduces novel data training strategies based on transfer learning, tailored to optimize performance with limited data. Additionally, we propose a hybrid model integrating EfficientNet and Vision Transformer networks to enhance prediction accuracy. Conducting rigorous evaluations on a carefully curated dataset comprising 1002 endoscopic images (comprising 650 white-light images and 352 narrow-band images), our model achieved exceptional outcomes. Our combined model achieved an accuracy of 96.32%, precision of 96.44%, recall of 95.70%, and f1-score of 96.04%, surpassing state-of-the-art models and individual components, substantiating its potential for precise medical image classification. The AI-based medical image prediction platform presents several advantageous characteristics, encompassing superior prediction accuracy, a compact model size, and adaptability to low-data scenarios. This research heralds a significant stride in the advancement of computer-aided endoscopic imaging for improved esophageal cancer diagnosis.
Collapse
Affiliation(s)
- Chu-Kuang Chou
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi 60002, Taiwan;
- Obesity Center, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi 60002, Taiwan
| | - Hong-Thai Nguyen
- Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan;
| | - Yao-Kuang Wang
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan;
- Department of Medicine, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan;
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan
| | - Tsung-Hsien Chen
- Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi 60002, Taiwan;
| | - I-Chen Wu
- Department of Medicine, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan;
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 80756, Taiwan
| | - Chien-Wei Huang
- Department of Gastroenterology, Kaohsiung Armed Forces General Hospital, Kaohsiung City 80284, Taiwan
- Department of Nursing, Tajen University, 20, Weixin Rd., Yanpu Township, Pingtung 90741, Taiwan
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan;
- Hitspectra Intelligent Technology Co., Ltd., Kaohsiung City 80661, Taiwan
| |
Collapse
|
|
34
|
Sinonquel P, Vermeire S, Maes F, Bisschops R. Advanced Imaging in Gastrointestinal Endoscopy: A Literature Review of the Current State of the Art. GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY 2023; 30:175-191. [PMID: 37387720 PMCID: PMC10305270 DOI: 10.1159/000527083] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/11/2022] [Indexed: 01/03/2025]
Abstract
BACKGROUND AND AIMS Gastrointestinal (GI) endoscopy has known a great evolution in the last decades. Imaging techniques evolved from imaging with only standard white light endoscopes toward high-definition resolution endoscopes and the use of multiple color enhancement techniques, over to automated endoscopic assessment systems based on artificial intelligence. This narrative literature review aimed to provide a detailed overview on the latest evolutions within the field of advanced GI endoscopy, mainly focusing on the screening, diagnosis, and surveillance of common upper and lower GI pathology. METHODS This review comprises only literature about screening, diagnosis, and surveillance strategies using advanced endoscopic imaging techniques published in (inter)national peer-reviewed journals and written in English. Studies with only adult patients included were selected. A search was performed using MESH terms: dye-based chromoendoscopy, virtual chromoendoscopy, video enhancement technique, upper GI tract, lower GI tract, Barrett's esophagus, esophageal squamous cell carcinoma, gastric cancer, colorectal polyps, inflammatory bowel disease, artificial intelligence. This review does not elaborate on the therapeutic application or impact of advanced GI endoscopy. CONCLUSIONS Focusing on current and future applications and evolutions in the field of both upper and lower GI advanced endoscopy, this overview is a practical but detailed projection of the latest developments. Within this review, an active leap toward artificial intelligence and its recent developments in GI endoscopy was made. Additionally, the literature is weighted against the current international guidelines and assessed for its potential positive future impact.
Collapse
Affiliation(s)
- Pieter Sinonquel
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
- Department of Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven, Leuven, Belgium
| | - Séverine Vermeire
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
- Department of Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven, Leuven, Belgium
| | - Frederik Maes
- Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium
| | - Raf Bisschops
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
- Department of Translational Research in Gastrointestinal Diseases (TARGID), KU Leuven, Leuven, Belgium
| |
Collapse
|
|
35
|
Cuicchi D, Castagna G, Cardelli S, Larotonda C, Petrello B, Poggioli G. Restaging rectal cancer following neoadjuvant chemoradiotherapy. World J Gastrointest Oncol 2023; 15:700-712. [PMID: 37275455 PMCID: PMC10237020 DOI: 10.4251/wjgo.v15.i5.700] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/01/2023] [Accepted: 03/29/2023] [Indexed: 05/12/2023] Open
Abstract
Correct tumour restaging is pivotal for identifying the most personalised surgical treatment for patients with locally advanced rectal cancer undergoing neoadjuvant therapy, and works to avoid both poor oncological outcome and overtreatment. Digital rectal examination, endoscopy, and pelvic magnetic resonance imaging are the recommended modalities for local tumour restaging, while chest and abdominal computed tomography are utilised for the assessment of distant disease. The optimal length of time between neoadjuvant treatment and restaging, in terms of both oncological safety and clinical effectiveness of treatment, remains unclear, especially for patients receiving prolonged total neoadjuvant therapy. The timely identification of patients who are radioresistant and at risk of disease progression remains challenging.
Collapse
Affiliation(s)
- Dajana Cuicchi
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Giovanni Castagna
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Stefano Cardelli
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Cristina Larotonda
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Benedetta Petrello
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Gilberto Poggioli
- Department of Medical and Surgical Sciences, Surgery of the Alimentary Tract, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| |
Collapse
|
|
36
|
Shimizu T, Sasaki Y, Ito K, Matsuzaka M, Sakuraba H, Fukuda S. A trial deep learning-based model for four-class histologic classification of colonic tumor from narrow band imaging. Sci Rep 2023; 13:7510. [PMID: 37161081 PMCID: PMC10169849 DOI: 10.1038/s41598-023-34750-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/06/2023] [Indexed: 05/11/2023] Open
Abstract
Narrow band imaging (NBI) has been extensively utilized as a diagnostic tool for colorectal neoplastic lesions. This study aimed to develop a trial deep learning (DL) based four-class classification model for low-grade dysplasia (LGD); high-grade dysplasia or mucosal carcinoma (HGD); superficially invasive submucosal carcinoma (SMs) and deeply invasive submucosal carcinomas (SMd) and evaluate its potential as a diagnostic tool. We collected a total of 1,390 NBI images as the dataset, including 53 LGD, 120 HGD, 20 SMs and 17 SMd. A total of 598,801 patches were trimmed from the lesion and background. A patch-based classification model was built by employing a residual convolutional neural network (CNN) and validated by three-fold cross-validation. The patch-based validation accuracy was 0.876, 0.957, 0.907 and 0.929 in LGD, HGD, SMs and SMd, respectively. The image-level classification algorithm was derived from the patch-based mapping across the entire image domain, attaining accuracies of 0.983, 0.990, 0.964, and 0.992 in LGD, HGD, SMs, and SMd, respectively. Our CNN-based model demonstrated high performance for categorizing the histological grade of dysplasia as well as the depth of invasion in routine colonoscopy, suggesting a potential diagnostic tool with minimal human inputs.
Collapse
Affiliation(s)
- Takeshi Shimizu
- Department of Gastroenterology, Sendai City Medical Center Sendai Open Hospital, 5-22-1 Tsurugaya, Miyagino-ku, Sendai, 983-0824, Japan
| | - Yoshihiro Sasaki
- Department of Medical Informatics, Hirosaki University Hospital, 53 Hon-cho, Hirosaki, 036-8563, Japan.
| | - Kei Ito
- Department of Gastroenterology, Sendai City Medical Center Sendai Open Hospital, 5-22-1 Tsurugaya, Miyagino-ku, Sendai, 983-0824, Japan
| | - Masashi Matsuzaka
- Department of Medical Informatics, Hirosaki University Hospital, 53 Hon-cho, Hirosaki, 036-8563, Japan
| | - Hirotake Sakuraba
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, 036-8562, Japan
| | - Shinsaku Fukuda
- Department of Community Medical Support, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, 036-8562, Japan
| |
Collapse
|
|
37
|
Aktualisierte S2k-Leitlinie Helicobacter
pylori und gastroduodenale Ulkuskrankheit der Deutschen Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS) – Juli 2022 – AWMF-Registernummer: 021–001. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2023; 61:544-606. [PMID: 37146633 DOI: 10.1055/a-1975-0414] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
|
|
38
|
Chen Y, Xu X, Wang M, Wang X, Wang Y, Zhang Y, Zhao L, Fan Z, Liu L. Moxifloxacin as a contrast agent of two-photon microscopic imaging for detecting colorectal diseases. JOURNAL OF BIOPHOTONICS 2023; 16:e202200367. [PMID: 36633193 DOI: 10.1002/jbio.202200367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/26/2022] [Accepted: 01/01/2023] [Indexed: 05/17/2023]
Abstract
Since two-photon microscopy (TPM) can obtain high-resolution images at cellular and subcellular level and moxifloxacin has multiphoton fluorescence characteristic, our study aimed to explore the feasibility and diagnostic value of moxifloxacin-assisted TPM in different human colorectal diseases, including low-grade intraepithelial neoplasia (LGIN), high-grade intraepithelial neoplasia (HGIN) and cancer tissues. Excitation power for TPM imaging with and without moxifloxacin was (2.74 ± 0.16) mW and (0.28 ± 0.02) mW, respectively (p < 0.05). Whether labeled with moxifloxacin or not, images of normal, LGIN, HGIN and cancer tissues all reached the strongest signal at 30 μm from the mucosa. Normalized fluorescence intensity of TPM images with moxifloxacin was approximately 10 times stronger than that without moxifloxacin. Fluorescence signal was differed significantly in normal, LGIN, HGIN and cancer tissues with or without moxifloxacin (p < 0.05). Besides, moxifloxacin-assisted TPM could present variant tissue features with different colorectal diseases, such as the crypt opening, glandular structure, adjacent glandular space and fluorescence distribution.
Collapse
Affiliation(s)
- Yingtong Chen
- Digestive Endoscopy Department, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of General Surgery, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
| | - Xiaoyi Xu
- National Laboratory of Solid State Microstructure of Nanjing University, Nanjing, China
| | - Min Wang
- Digestive Endoscopy Department, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of General Surgery, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Xiang Wang
- Digestive Endoscopy Department, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of General Surgery, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Yan Wang
- Digestive Endoscopy Department, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of General Surgery, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Yong Zhang
- National Laboratory of Solid State Microstructure of Nanjing University, Nanjing, China
| | - Lili Zhao
- Digestive Endoscopy Department, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of General Surgery, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Zhining Fan
- Digestive Endoscopy Department, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of General Surgery, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Li Liu
- Digestive Endoscopy Department, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Department of General Surgery, Jiangsu Province Hospital and The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Gusu College of Nanjing Medical University, Suzhou, China
| |
Collapse
|
|
39
|
Linked Color Imaging for Stomach. Diagnostics (Basel) 2023; 13:diagnostics13030467. [PMID: 36766572 PMCID: PMC9914129 DOI: 10.3390/diagnostics13030467] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/19/2023] [Accepted: 01/24/2023] [Indexed: 02/01/2023] Open
Abstract
Image-enhanced endoscopy (IEE) plays an important role in the detection and further examination of gastritis and early gastric cancer (EGC). Linked color imaging (LCI) is also useful for detecting and evaluating gastritis, gastric intestinal metaplasia as a pre-cancerous lesion, and EGC. LCI provides a clear excellent endoscopic view of the atrophic border and the demarcation line under various conditions of gastritis. We could recognize gastritis as the lesions of the diffuse redness to purple color area with LCI. On the other hand, EGCs are recognized as the lesions of the orange-red, orange, or orange-white color area in the lesion of the purple color area, which is the surround atrophic mucosa with LCI. With further prospective randomized studies, we will be able to evaluate the diagnosis ability for EGC by IEE, and it will be necessary to evaluate the role of WLI/IEE and the additional effects of the diagnostic ability by adding IEE to WLI in future.
Collapse
|
|
40
|
Higashino M, Ono S, Matsumoto S, Kubo M, Yasuura N, Hayasaka S, Tanaka I, Shimoda Y, Nishimura Y, Ono M, Yamamoto K, Ono Y, Sakamoto N. Improvement of detection sensitivity of upper gastrointestinal epithelial neoplasia in linked color imaging based on data of eye tracking. J Gastroenterol Hepatol 2023; 38:710-715. [PMID: 36627106 DOI: 10.1111/jgh.16106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/03/2023] [Accepted: 01/07/2023] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND AIM Linked color imaging (LCI) is useful for screening in the gastrointestinal tract; however, its true clinical benefit has not been determined. The aim of this study was to determine the objective advantage of LCI for detection of upper gastrointestinal neoplasms. METHODS Nine endoscopists, including three novices, three trainees, and three experts, prospectively performed eye tracking. From 30 cases of esophageal or gastric neoplasm and 30 normal cases without neoplasms, a total of 120 images, including 60 pair images of white light imaging (WLI) and LCI taken at the same positions and angles, were randomly shown for 10 s. The sensitivity of tumor detection as a primary endpoint was evaluated and sensitivities by organ, size, and visual gaze pattern were also assessed. Color differences (ΔE using CIE1976 [L*a*b*]) between lesions and surrounding mucosa were measured and compared with detectability. RESULTS A total of 1080 experiments were completed. The sensitivities of tumor detection in WLI and LCI were 53.7% (50.1-56.8%) and 68.1% (64.8-70.8%), respectively (P = 0.002). LCI provided higher sensitivity than WLI for the novice and trainee groups (novice: 42.2% [WLI] vs 65.6% [LCI], P = 0.003; trainee: 54.4% vs 70.0%, P = 0.045). No significant correlations were found between sensitivity and visual gaze patterns. LCI significantly increased ΔE, and the diagnostic accuracy with WLI depended on ΔE. CONCLUSIONS In conclusion, LCI significantly improved sensitivity in the detection of epithelial neoplasia and enabled epithelial neoplasia detection that is not possible with the small color difference in WLI. (UMIN000047944).
Collapse
Affiliation(s)
- Masayuki Higashino
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Shoko Ono
- Division of Endoscopy, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Shogo Matsumoto
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Marina Kubo
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Naohiro Yasuura
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Shuhei Hayasaka
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Ikko Tanaka
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Yoshihiko Shimoda
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Yusuke Nishimura
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Masayoshi Ono
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| | - Keiko Yamamoto
- Division of Endoscopy, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Yuji Ono
- Department of Gastroenterology, Sapporo City General Hospital, Sapporo, Hokkaido, Japan
| | - Naoya Sakamoto
- Department of Gastroenterology and Hepatology, Graduate School of Medicine and Faculty of Medicine Hokkaido University, Sapporo, Hokkaido, Japan
| |
Collapse
|
|
41
|
Chen Q, Yang W, Gong W, Chen X, Zhu Z, Chen H. Advanced Sensing Strategies Based on Different Types of Biomarkers toward Early Diagnosis of H. pylori. Crit Rev Anal Chem 2023; 54:2277-2289. [PMID: 36598423 DOI: 10.1080/10408347.2022.2163585] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Helicobacter pylori (H. pylori) is a bacterium that can colonize human gastric epithelial cells and cause H. pylori infection, closely related to many gastric diseases. Compared with conventional H. pylori detection methods, emerging diagnostic approaches (such as biosensors) have become potentially more effective alternatives due to their high sensitivity, good selectivity and noninvasiveness. This review begins with a brief overview of H. pylori infection, the processes that lead to diseases, and current diagnostic methods. Subsequently, advanced biosensors in different target-based for diagnosing H. pylori infection are focused, including the detection of H. pylori-related nucleic acid, H. pylori-related protein (such as the cytotoxin, urease), and intact H. pylori. In addition, prospects for the development of H. pylori detection methods are also discussed in the end.
Collapse
Affiliation(s)
- Qiang Chen
- School of Medicine, Shanghai University, Shanghai, PR China
| | - Wenyi Yang
- School of Life Sciences, Shanghai University, Shanghai, PR China
| | - Weihua Gong
- Department of Oncology, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai, PR China
| | - Xiaobing Chen
- Department of Oncology, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, PR China
| | - Zhongzheng Zhu
- Department of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Hongxia Chen
- School of Life Sciences, Shanghai University, Shanghai, PR China
| |
Collapse
|
|
42
|
Gomes C, Dias E, Pinho R. Nonwhite light endoscopy in capsule endoscopy: Fujinon Intelligent Chromo Endoscopy and blue mode. ARTIFICIAL INTELLIGENCE IN CAPSULE ENDOSCOPY 2023:243-254. [DOI: 10.1016/b978-0-323-99647-1.00002-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
|
|
43
|
Natalsky AA, Filimonov VB, Shadsky SO, Ivanov NA, Pashkin KP. [Endoscopic prevention of bleeding during resection of mucous membrane neoplasms of hollow organs of gastrointestinal tract]. Khirurgiia (Mosk) 2023:66-71. [PMID: 37707334 DOI: 10.17116/hirurgia202309166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
OBJECTIVE To optimize endoscopic prevention of bleeding during resection of mucous membrane neoplasms of hollow organs of gastrointestinal tract and minimize the risk of intra- and postoperative complications. MATERIAL AND METHODS. A S Ystematic review and meta-analysis were made in accordance with the PRISMA recommendations. Statistical analysis was performed in Cohrane Review Manager ver. 5.4. RESULTS. THERE ARE 3 Methods of endoscopic prevention of bleeding during polypectomy, i.e. 0.01% adrenaline injection, endoscopic clip placement and endoscopic polyp band ligation. Endoscopic polyp band ligation is characterized by minimum complication rate. CONCLUSION Endoscopic polyp band ligation is preferable due to minimum complication rate. If ligation is impossible, prophylactic clip placement may be performed. Adrenaline injection is the least effective method and may be used only if two above-mentioned methods are ineffective.
Collapse
Affiliation(s)
- A A Natalsky
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - V B Filimonov
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - S O Shadsky
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - N A Ivanov
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - K P Pashkin
- Pavlov Ryazan State Medical University, Ryazan, Russia
| |
Collapse
|
|
44
|
Teramoto A, Hamada S, Ogino B, Yasuda I, Sano Y. Updates in narrow-band imaging for colorectal polyps: Narrow-band imaging generations, detection, diagnosis, and artificial intelligence. Dig Endosc 2022; 35:453-470. [PMID: 36480465 DOI: 10.1111/den.14489] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 12/01/2022] [Indexed: 01/20/2023]
Abstract
Narrow-band imaging (NBI) is an optical digital enhancement method that allows the observation of vascular and surface structures of colorectal lesions. Its usefulness in the detection and diagnosis of colorectal polyps has been demonstrated in several clinical trials and the diagnostic algorithms have been simplified after the establishment of endoscopic classifications such as the Japan NBI Expert Team classification. However, there were issues including lack of brightness in the earlier models, poor visibility under insufficient bowel preparation, and the incompatibility of magnifying endoscopes in certain endoscopic platforms, which had impeded NBI from becoming standardized globally. Nonetheless, NBI continued its evolution and the newest endoscopic platform launched in 2020 offers significantly brighter and detailed images. Enhanced visualization is expected to improve the detection of polyps while universal compatibility across all scopes including magnifying endoscopy will promote the global standardization of magnifying diagnosis. Therefore, knowledge related to magnifying colonoscopy will become essential as magnification becomes standardly equipped in future models, although the advent of computer-aided diagnosis and detection may greatly assist endoscopists to ensure quality of practice. Given that most endoscopic departments will be using both old and new models, it is important to understand how each generation of endoscopic platforms differ from each other. We reviewed the advances in the endoscopic platforms, artificial intelligence, and evidence related to NBI essential for the next generation of endoscopic practice.
Collapse
Affiliation(s)
- Akira Teramoto
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Seiji Hamada
- Gastrointestinal Center, Urasoe General Hospital, Okinawa, Japan
| | - Banri Ogino
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Ichiro Yasuda
- Third Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
| | - Yasushi Sano
- Gastrointestinal Center, Sano Hospital, Hyogo, Japan
| |
Collapse
|
|
45
|
Fang S, Fu Y, Du S, Wang L, Qing X, Luo X, Song G, Yang Y, Wei W. The role of the endoscopic grading of gastric intestinal metaplasia in assessing gastric cancer risk: A systematic review and meta-analysis. Front Oncol 2022; 12:1018248. [PMID: 36425561 PMCID: PMC9679375 DOI: 10.3389/fonc.2022.1018248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/17/2022] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND AND AIM Patients with gastric intestinal metaplasia (IM) are at increased risk of gastric cancer (GC). The endoscopic grading of gastric intestinal metaplasia (EGGIM) with high-definition endoscopes has shown the potential to facilitate GC risk stratification. However, a comprehensive review and meta-analysis of published articles are lacking. We conducted a meta-analysis to access the value of EGGIM in the assessment of histological IM. MATERIALS Studies were selected from PubMed, Medline, Embase, and Cochrane (last selection, Jun 2022). We extracted relevant data to calculate the accuracy of EGGIM compared with the operative link of gastric intestinal metaplasia (OLGIM) and to calculate pooled odds ratio (OR) with a 95% confidence interval (CI) assessing GC risk with different grading. RESULTS Four diagnostic studies and three case-control clinical trials were included in the analysis, which included 665 patients and 738 patients, respectively. Compared with OLGIM III/IV, EGGIM(5-10) had a pooled sensitivity and specificity of 0.92(95%CI 0.86-0.96) and 0.90(95%CI 0.88-0.93), and the area under the curve(AUC) was 0.9702. In assessing early GC, the pooled OR of patients with EGGIM(5-10) was 7.46(95%CI 3.41-16.31) compared with that of EGGIM(0-4). CONCLUSIONS EGGIM is highly consistent with OLGIM, and patients with EGGIM(5-10) are at a higher risk for early GC. Some heterogeneity in the current research suggests that we need to carry out more strict control of confounding factors. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=248691], (Prospero registration number: 248691).
Collapse
Affiliation(s)
- Shuangshuang Fang
- Department of Gastroenterology, Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuhan Fu
- Department of Internal Medicine, MetroHealth Medical Center/Case Western Reserve University, Cleveland, OH, United States
| | - Sijing Du
- Department of Gastroenterology, Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lin Wang
- Department of Gastroenterology, Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiangli Qing
- Department of Gastroenterology, Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Department of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiaoying Luo
- Department of Gastroenterology, Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Gengqing Song
- Department of Gastroenterology and Hepatology, MetroHealth Medical Center/Case Western Reserve University, Cleveland, OH, United States
| | - Yang Yang
- Department of Gastroenterology, Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wei Wei
- Department of Gastroenterology, Beijing Key Laboratory of Functional Gastrointestinal Disorders Diagnosis and Treatment of Traditional Chinese Medicine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| |
Collapse
|
|
46
|
Li J, Hu S, Shi C, Dong Z, Pan J, Ai Y, Liu J, Zhou W, Deng Y, Li Y, Yuan J, Zeng Z, Wu L, Yu H. A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: A multicenter study. EClinicalMedicine 2022; 53:101704. [PMID: 36467456 PMCID: PMC9716327 DOI: 10.1016/j.eclinm.2022.101704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Timely identification and regular surveillance of patients at high risk are crucial for early diagnosis of upper gastrointestinal cancer. However, traditional manual surveillance method is time-consuming, and current surveillance rate is below 50%. Here, we aimed to develop a surveillance system named ENDOANGEL-AS (automatic surveillance) for automatic identification and surveillance of high-risk patients. METHODS 7874 patients from Renmin Hospital of Wuhan University between May 1 and July 31, 2021 were used as the training set, 6762 patients between August 1 and October 31, 2021 as the internal test set, and 7570 patients from two other hospitals between August 1 and October 31, 2021 as the external test sets. We first extracted descriptions of abnormalities from endoscopic and pathological reports based on natural language processing techniques to identify individuals. Then patients were classified at nine risk levels according to endoscopic and pathological findings, and a deep learning model was trained to identify demarcation line (DL) in gastric low-grade intraepithelial neoplasia (LGIN) using 1561 white-light still images for risk stratification of gastric LGIN. Finally, patients undergoing upper endoscopy were classified and assigned one of ten surveillance intervals according to guidelines. The performance of ENDOANGEL-AS was evaluated and compared with physicians. FINDINGS Patient identification module achieved an accuracy of 100% and 99.91% in internal and external test sets, respectively. Risk level classification module achieved an accuracy of 100% and 99.85% in the internal and external test sets, respectively. DL identification module achieved an accuracy of 87.88%. ENDOANGEL-AS on surveillance interval assignment achieved an accuracy of 99.23% and 99.67% in internal and external test sets, respectively. ENDOANGEL-AS had significantly higher accuracy compared with physicians (99.00% vs 38.87%, p < 0.001). The accuracy (63.67%, p < 0.001) of endoscopists with the assistance of ENDOANGEL-AS was significantly improved. INTERPRETATION We established a surveillance system that can automatically identify patients and assign surveillance intervals with high accuracy and good transferability. FUNDING This work was partly supported by a grant from the Hubei Province Major Science and Technology Innovation Project (2018-916-000-008) and the Fundamental Research Funds for the Central Universities (2042021kf0084).
Collapse
Affiliation(s)
- Jia Li
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Shan Hu
- National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, Hubei 430079, PR China
| | - Conghui Shi
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Zehua Dong
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Jie Pan
- Department of Gastroenterology, Wenzhou Central Hospital, Wenzhou, Zhejiang 325000, PR China
| | - Yaowei Ai
- Department of Gastroenterology, The People's Hospital of China Three Gorges University, The First People's Hospital of Yichang, Yichang, Hubei 443000, PR China
| | - Jun Liu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Nursing Department of Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Wei Zhou
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Yunchao Deng
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Yanxia Li
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Jingping Yuan
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Zhi Zeng
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Lianlian Wu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| | - Honggang Yu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Key Laboratory of Digestive System, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
- Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
| |
Collapse
|
|
47
|
Ortiz Zúñiga O, Fernández Esparrach MG, Daca M, Pellisé M. Artificial intelligence in gastrointestinal endoscopy - Evolution to a new era. REVISTA ESPANOLA DE ENFERMEDADES DIGESTIVAS 2022; 114:605-615. [PMID: 35770604 DOI: 10.17235/reed.2022.8961/2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Artificial intelligence (AI) systems based on machine learning have evolved in the last few years with an increasing applicability in gastrointestinal endoscopy. Thanks to AI, an image (input) can be transformed into a clinical decision (output). Although AI systems have been initially studied to improve detection (CADe) and characterization of colorectal lesions (CADx), other indications are being currently investigated as detection of blind spots, scope guidance, or delineation/measurement of lesions. The objective of these review is to summarize the current evidence on applicability of AI systems in gastrointestinal endoscopy, highlight strengths and limitations of the technology and review regulatory and ethical aspects for its general implementation in gastrointestinal endoscopy.
Collapse
Affiliation(s)
| | | | - María Daca
- Gastroenterología, Hospital Clínic Barcelona, España
| | - María Pellisé
- Gastroenterología, Hospital Clínic Barcelona, España
| |
Collapse
|
|
48
|
Ferreira CN, Serrazina J, Marinho RT. Detection and Characterization of Early Gastric Cancer. Front Oncol 2022; 12:855216. [PMID: 35936695 PMCID: PMC9354496 DOI: 10.3389/fonc.2022.855216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/10/2022] [Indexed: 11/30/2022] Open
Abstract
In this review, we would like to focus on risk stratification and quality indicators of diagnostic upper gastrointestinal endoscopy in the detection and characterization of early gastric cancer. Preparation of the upper gastrointestinal tract with mucolytic agents or simethicone is often overlooked in the west, and this inexpensive step prior to endoscopy can greatly improve the quality of imaging of the upper digestive tract. Risk stratification based on epidemiological features including family history, Helicobacter pylori infection status, and tobacco smoking is often overlooked but may be useful to identify a subgroup of patients at higher risk of developing gastric cancer. Quality indicators of diagnostic upper gastrointestinal endoscopy are now well defined and include: minimal inspection time of 3 min, adequate photographic documentation of upper gastrointestinal landmarks, utilization of advanced endoscopic imaging technology including narrow band imaging and blue laser imaging to detect intestinal metaplasia and characterize early gastric cancer; and standardized biopsy protocols allow for histological evaluation of gastric mucosa and detection of atrophic gastritis and intestinal metaplasia. Finally, endoscopic and histologic classifications such as the Kimura–Takemoto Classification of atrophic gastritis and the OLGA–OLGIM classifications may help stratify patients at a higher risk of developing early gastric cancer.
Collapse
Affiliation(s)
- Carlos Noronha Ferreira
- Serviço de Gastrenterologia e Hepatologia, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
- Clínica Universitária de Gastrenterologia, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
- *Correspondence: Carlos Noronha Ferreira,
| | - Juliana Serrazina
- Serviço de Gastrenterologia e Hepatologia, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
| | - Rui Tato Marinho
- Serviço de Gastrenterologia e Hepatologia, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
- Clínica Universitária de Gastrenterologia, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| |
Collapse
|
|
49
|
Boese A, Wex C, Croner R, Liehr UB, Wendler JJ, Weigt J, Walles T, Vorwerk U, Lohmann CH, Friebe M, Illanes A. Endoscopic Imaging Technology Today. Diagnostics (Basel) 2022; 12:1262. [PMID: 35626417 PMCID: PMC9140648 DOI: 10.3390/diagnostics12051262] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/02/2022] [Accepted: 05/16/2022] [Indexed: 02/04/2023] Open
Abstract
One of the most applied imaging methods in medicine is endoscopy. A highly specialized image modality has been developed since the first modern endoscope, the "Lichtleiter" of Bozzini was introduced in the early 19th century. Multiple medical disciplines use endoscopy for diagnostics or to visualize and support therapeutic procedures. Therefore, the shapes, functionalities, handling concepts, and the integrated and surrounding technology of endoscopic systems were adapted to meet these dedicated medical application requirements. This survey gives an overview of modern endoscopic technology's state of the art. Therefore, the portfolio of several manufacturers with commercially available products on the market was screened and summarized. Additionally, some trends for upcoming developments were collected.
Collapse
Affiliation(s)
- Axel Boese
- INKA Health Tech Innovation Lab., Medical Faculty, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany; (M.F.); (A.I.)
| | - Cora Wex
- Clinic of General-, Visceral-, Vascular- and Transplant Surgery, University Hospital Magdeburg, 39120 Magdeburg, Germany; (C.W.); (R.C.)
| | - Roland Croner
- Clinic of General-, Visceral-, Vascular- and Transplant Surgery, University Hospital Magdeburg, 39120 Magdeburg, Germany; (C.W.); (R.C.)
| | - Uwe Bernd Liehr
- Uro-Oncology, Roboter-Assisted and Focal Therapy, Clinic for Urology, University Hospital Magdeburg, 39120 Magdeburg, Germany; (U.B.L.); (J.J.W.)
| | - Johann Jakob Wendler
- Uro-Oncology, Roboter-Assisted and Focal Therapy, Clinic for Urology, University Hospital Magdeburg, 39120 Magdeburg, Germany; (U.B.L.); (J.J.W.)
| | - Jochen Weigt
- Hepatology, and Infectious Diseases, Clinic of Gastroenterology, University Hospital Magdeburg, 39120 Magdeburg, Germany;
| | - Thorsten Walles
- Clinic of Cardiac and Thoracic Surgery, University Hospital Magdeburg, 39120 Magdeburg, Germany;
| | - Ulrich Vorwerk
- Clinic of Throat, Nose, and Ear, Head and Neck Surgery, University Hospital Magdeburg, 39120 Magdeburg, Germany;
| | | | - Michael Friebe
- INKA Health Tech Innovation Lab., Medical Faculty, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany; (M.F.); (A.I.)
- Department of Measurement and Electronics, AGH University of Science and Technology, 31-503 Kraków, Poland
| | - Alfredo Illanes
- INKA Health Tech Innovation Lab., Medical Faculty, Otto-von-Guericke University Magdeburg, 39120 Magdeburg, Germany; (M.F.); (A.I.)
| |
Collapse
|
|
50
|
Biscaglia G, Cocomazzi F, Gentile M, Loconte I, Mileti A, Paolillo R, Marra A, Castellana S, Mazza T, Di Leo A, Perri F. Real-time, computer-aided, detection-assisted colonoscopy eliminates differences in adenoma detection rate between trainee and experienced endoscopists. Endosc Int Open 2022; 10:E616-E621. [PMID: 35571479 PMCID: PMC9106428 DOI: 10.1055/a-1783-9678] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 01/03/2022] [Indexed: 12/31/2022] Open
Abstract
Background and study aims Adenoma detection rate (ADR) is a well-accepted quality indicator of screening colonoscopy. In recent years, the added value of artificial intelligence (AI) has been demonstrated in terms of ADR and adenoma miss rate (AMR). To date, there are no studies evaluating the impact of AI on the performance of trainee endoscopists (TEs). This study aimed to assess whether AI might eliminate any difference in ADR or AMR between TEs and experienced endoscopists (EEs). Patients and methods We performed a prospective observational study in 45 subjects referred for screening colonoscopy. A same-day tandem examination was carried out for each patient by a TE with the AI assistance and subsequently by an EE unaware of the lesions detected by the TE. Besides ADR and AMR, we also calculated for each subgroup of endoscopists the adenoma per colonoscopy (APC), polyp detection rate (PDR), polyp per colonoscopy (PPC) and polyp miss rate (PMR). Subgroup analyses according to size, morphology, and site were also performed. Results ADR, APC, PDR, and PPC of AI-supported TEs were 38 %, 0.93, 62 %, 1.93, respectively. The corresponding parameters for EEs were 40 %, 1.07, 58 %, 2.22. No significant difference was found for each analysis between the two groups ( P > 0.05). AMR and PMR for AI-assisted TEs were 12.5 % and 13 %, respectively. Sub-analyses did not show any significant difference ( P > 0.05) between the two categories of operators. Conclusions In this single-center prospective study, the possible impact of AI on endoscopist quality training was demonstrated. In the future, this could result in better efficacy of screening colonoscopy by reducing the incidence of interval or missed cancers.
Collapse
Affiliation(s)
- Giuseppe Biscaglia
- Division of Gastroenterology and Endoscopy, “Casa Sollievo della Sofferenza” Hospital, IRCCS, San Giovanni Rotondo, Italy
| | - Francesco Cocomazzi
- Division of Gastroenterology and Endoscopy, “Casa Sollievo della Sofferenza” Hospital, IRCCS, San Giovanni Rotondo, Italy
| | - Marco Gentile
- Division of Gastroenterology and Endoscopy, “Casa Sollievo della Sofferenza” Hospital, IRCCS, San Giovanni Rotondo, Italy
| | - Ilaria Loconte
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, University of Bari, Italy
| | - Alessia Mileti
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, University of Bari, Italy
| | - Rosa Paolillo
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, University of Bari, Italy
| | - Antonella Marra
- Division of Gastroenterology and Endoscopy, “Casa Sollievo della Sofferenza” Hospital, IRCCS, San Giovanni Rotondo, Italy
| | - Stefano Castellana
- Laboratory of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Tommaso Mazza
- Laboratory of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Alfredo Di Leo
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, University of Bari, Italy
| | - Francesco Perri
- Division of Gastroenterology and Endoscopy, “Casa Sollievo della Sofferenza” Hospital, IRCCS, San Giovanni Rotondo, Italy
| |
Collapse
|