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Oh MJ, Park J, Jeon J, Park M, Kang S, Kim SH, Park SH, Chang YH, Shin CM, Kang SJ, Lee S, Kim SG, Cho SJ. Application of artificial intelligence in the detection of Borrmann type 4 advanced gastric cancer in upper endoscopy (with video). Cancer 2025; 131:e35768. [PMID: 39955610 DOI: 10.1002/cncr.35768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Revised: 01/17/2025] [Accepted: 01/17/2025] [Indexed: 02/17/2025]
Abstract
BACKGROUND Borrmann type-4 (B-4) advanced gastric cancer is challenging to diagnose through routine endoscopy, leading to a poor prognosis. The objective of this study was to develop an artificial intelligence (AI)-based system capable of detecting B-4 gastric cancers using upper endoscopy. METHODS Endoscopic images from 259 patients who were diagnosed with B-4 gastric cancer and 595 controls who had benign conditions were retrospectively collected from Seoul National University Hospital for training and testing. Internal validation involved prospectively collected endoscopic videos from eight patients with B-4 gastric cancer and 148 controls. For external validation, endoscopic images and videos from patients with B-4 gastric cancer and controls at the Seoul National University Bundang Hospital were used. To calculate patient-based accuracy, sensitivity, and specificity, a diagnosis of B-4 was made for patients in whom greater than 50% of the images were identified as B-4 gastric cancer. RESULTS The accuracy of the patient-based diagnosis was highest in the internal image test set, with accuracy, sensitivity, and specificity of 93.22%, 92.86%, and 93.39%, respectively. The accuracy of the model in the internal validation videos, the external validation images, and the external validation videos was 91.03%, 91.86%, and 86.71%, respectively. Notably, in both the internal and external video sets, the AI model demonstrated 100% sensitivity for diagnosing patients who had B-4 gastric cancer. CONCLUSIONS An innovative AI-based model was developed to identify B-4 gastric cancer using endoscopic images. This AI model is specialized for the highly sensitive detection of rare B-4 gastric cancer and is expected to assist clinicians in real-time endoscopy.
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Affiliation(s)
- Mi Jin Oh
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | | | | | - Mina Park
- Ainex Corporation, Seoul, Republic of Korea
| | - Seungkyung Kang
- Center for Health Promotion and Optimal Aging, Seoul National University Hospital, Seoul, South Korea
| | - Su Hyun Kim
- Center for Health Promotion and Optimal Aging, Seoul National University Hospital, Seoul, South Korea
| | - Su Hee Park
- Center for Health Promotion and Optimal Aging, Seoul National University Hospital, Seoul, South Korea
| | - Young Hoon Chang
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea
| | - Cheol Min Shin
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea
| | - Seung Joo Kang
- Department of Internal Medicine and Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, South Korea
| | - Seunghan Lee
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Sang Gyun Kim
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Soo-Jeong Cho
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, South Korea
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2
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Feng QX, Zhu ZN, Li Q, Liu XS. Dual-energy CT quantitative parameters to evaluate occult peritoneal metastasis in advanced gastric cancer preoperatively. Abdom Radiol (NY) 2024; 49:3309-3318. [PMID: 38634880 DOI: 10.1007/s00261-024-04303-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/14/2024] [Accepted: 03/20/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE To explore whether dual-energy CT (DECT) quantitative parameters could provide analytic value for the diagnosis of patients with occult peritoneal metastasis (OPM) in advanced gastric cancer preoperatively. MATERIALS AND METHODS This retrospective study included 219 patients with advanced gastric cancer and DECT scans. The patient's clinical data and DECT related iodine concentration (IC) parameters and effective atomic number (Zeff) were collated and analyzed among noun-peritoneal metastasis (NPM), OPM and radiologically peritoneal metastasis (RPM) groups. The predictive performance of the DECT parameters was compared with that of the conventional CT features and clinical characteristics through evaluating area under curve of the precision-recall (AUC-PR), F1 score, balanced accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). RESULTS Borrmann IV type diagnosed on CT and serum tumor indicator CA125 index were statistically different between the NPM and OPM groups. DECT parameters included IC, normalized IC (NIC), and Zeff of PM group were lower than the NPM group. The DECT predictive nomogram combined three independent DECT parameters produced a better diagnostic performance than the conventional CT feature Borrmann IV type and serum CA125 index in AUC-PR with 0.884 vs 0.368 vs 0.189, but similar to the combined indicator which was based on the DECT parameters, the conventional CT feature, and serum CA125 index in AUC-PR with 0.884 vs 0.918. CONCLUSION The lower quantitative NIC, IC ratio, and Zeff on DECT was associated with peritoneal metastasis in advanced gastric cancer and was promising to identify patients with OPM noninvasively.
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Affiliation(s)
- Qiu-Xia Feng
- Department of Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China
| | - Zhen-Ning Zhu
- Department of Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China
| | - Qiong Li
- Department of Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China
| | - Xi-Sheng Liu
- Department of Radiology, The First Affiliated Hospital With Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu Province, China.
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3
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Cai Z, Lin H, Li Z, Zhou J, Chen W, Wu J, Zhang W, Wu H, Guo Z, Xu Y. A clinicopathologic feature-based nomogram for preoperative estimation of splenic hilar lymph node metastasis in advanced proximal gastric cancer without invasion of the greater curvature. Surgery 2024; 176:100-107. [PMID: 38584073 DOI: 10.1016/j.surg.2024.02.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/06/2023] [Accepted: 02/29/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND The indications for splenic hilar lymph node dissection in advanced proximal gastric cancer without invasion of the greater curvature are controversial. We aimed to develop a preoperative nomogram for individualized prediction of splenic hilar lymph node metastasis in non-greater curvature advanced proximal gastric cancer. METHODS From January 2014 to December 2021, 558 patients with non-greater curvature advanced proximal gastric cancer who underwent D2 lymphadenectomy (including splenic hilar lymph node) were retrospectively analyzed and divided into a training cohort (n = 361) and validation cohort (n = 197), depending on the admission time. A preoperative predictive nomogram of splenic hilar lymph node metastasis was established based on independent predictors identified by multivariate analysis, and the performance and prognostic value were confirmed. RESULTS In the training and validation cohorts, 48 (13.3%) and 24 patients (12.2%) had pathologically confirmed splenic hilar lymph node metastasis, respectively. Tumor located in the posterior wall, tumor size ≥5 cm, Borrmann type IV, and splenic hilar lymph node lymphadenectasis on computed tomography were preoperative factors independently associated with splenic hilar lymph node metastasis. The nomogram developed based on these four parameters had a high concordance index of 0.850 (95% confidence interval, 0.793-0.907) and 0.825 (95% confidence interval, 0.743-0.908) in the training and validation cohorts, respectively, with well-fitting calibration plots and better net benefits in the decision curve analysis. In addition, disease-free survival and overall survival were significantly shorter in the high-risk group, with hazard ratios of 3.660 (95% confidence interval, 2.228-6.011; log-rank P < .0001) and 3.769 (95% confidence interval, 2.279-6.231; log-rank P < .0001), respectively. CONCLUSION The nomogram has good performance in predicting the risk of splenic hilar lymph node metastasis in non-greater curvature advanced proximal gastric cancer preoperatively, which can help surgeons make rational clinical decisions.
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Affiliation(s)
- Zhiming Cai
- School of Clinical Medicine, Fujian Medical University, Fuzhou, China; Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China; Putian University, Putian, China
| | - Huimei Lin
- Department of Anorectal Surgery, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China
| | - Zhixiong Li
- Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China
| | - Jinfeng Zhou
- School of Clinical Medicine, Fujian Medical University, Fuzhou, China; Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China; Putian University, Putian, China
| | - Weixiang Chen
- School of Clinical Medicine, Fujian Medical University, Fuzhou, China; Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China; Putian University, Putian, China
| | - Jihuang Wu
- Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China
| | - Weihong Zhang
- Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China
| | - Haiyan Wu
- Department of Pathology, The First Hospital of Putian City, Putian, China
| | - Zipei Guo
- School of Clinical Medicine, Fujian Medical University, Fuzhou, China; Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China; Putian University, Putian, China
| | - Yanchang Xu
- Gastrointestinal Surgery Unit 1, The First Hospital of Putian City, Putian, China.
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4
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Xu YF, Ma HY, Huang GL, Zhang YT, Wang XY, Wei MJ, Pei XQ. Double contrast-enhanced ultrasonography improves diagnostic accuracy of T staging compared with multi-detector computed tomography in gastric cancer patients. World J Gastroenterol 2024; 30:3005-3015. [PMID: 38946876 PMCID: PMC11212705 DOI: 10.3748/wjg.v30.i23.3005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 04/24/2024] [Accepted: 05/13/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Gastric cancer (GC) is the most common malignant tumor and ranks third for cancer-related deaths among the worldwide. The disease poses a serious public health problem in China, ranking fifth for incidence and third for mortality. Knowledge of the invasive depth of the tumor is vital to treatment decisions.
AIM To evaluate the diagnostic performance of double contrast-enhanced ultrasonography (DCEUS) for preoperative T staging in patients with GC by comparing with multi-detector computed tomography (MDCT).
METHODS This single prospective study enrolled patients with GC confirmed by preoperative gastroscopy from July 2021 to March 2023. Patients underwent DCEUS, including ultrasonography (US) and intravenous contrast-enhanced ultrasonography (CEUS), and MDCT examinations for the assessment of preoperative T staging. Features of GC were identified on DCEUS and criteria developed to evaluate T staging according to the 8th edition of AJCC cancer staging manual. The diagnostic performance of DCEUS was evaluated by comparing it with that of MDCT and surgical-pathological findings were considered as the gold standard.
RESULTS A total of 229 patients with GC (80 T1, 33 T2, 59 T3 and 57 T4) were included. Overall accuracies were 86.9% for DCEUS and 61.1% for MDCT (P < 0.001). DCEUS was superior to MDCT for T1 (92.5% vs 70.0%, P < 0.001), T2 (72.7% vs 51.5%, P = 0.041), T3 (86.4% vs 45.8%, P < 0.001) and T4 (87.7% vs 70.2%, P = 0.022) staging of GC.
CONCLUSION DCEUS improved the diagnostic accuracy of preoperative T staging in patients with GC compared with MDCT, and constitutes a promising imaging modality for preoperative evaluation of GC to aid individualized treatment decision-making.
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Affiliation(s)
- Yan-Fen Xu
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Hui-Yun Ma
- Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Gui-Ling Huang
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Yu-Ting Zhang
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Xue-Yan Wang
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Ming-Jie Wei
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Xiao-Qing Pei
- Department of Medical Ultrasound, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
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5
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Impellizzeri G, Donato G, De Angelis C, Pagano N. Diagnostic Endoscopic Ultrasound (EUS) of the Luminal Gastrointestinal Tract. Diagnostics (Basel) 2024; 14:996. [PMID: 38786295 PMCID: PMC11120241 DOI: 10.3390/diagnostics14100996] [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: 04/10/2024] [Revised: 05/05/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
The purpose of this review is to focus on the diagnostic endoscopic ultrasound of the gastrointestinal tract. In the last decades, EUS has gained a central role in the staging of epithelial and sub-epithelial lesions of the gastrointestinal tract. With the evolution of imaging, the position of EUS in the diagnostic work-up and the staging flow-chart has continuously changed with two extreme positions: some gastroenterologists think that EUS is absolutely indispensable, and some think it is utterly useless. The truth is, as always, somewhere in between the two extremes. Analyzing the most up-to-date and strong evidence, we will try to give EUS the correct position in our daily practice.
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Affiliation(s)
| | | | | | - Nico Pagano
- Gastroenterology Unit, Department of Oncological and Specialty Medicine, Azienda Ospedaliero-Universitaria Maggiore della Carità, 28100 Novara, Italy; (G.I.); (C.D.A.)
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6
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Jinushi R, Mizuide M, Tanisaka Y, Masuda S, Koizumi K, Sasaki A, Ishihara Y, Shionoya K, Sato R, Sugimoto K, Shin T, Shiomi R, Fujita A, Ryozawa S, Yamazaki T. Efficacy for diagnoses of scirrhous gastric cancer and safety of endoscopic ultrasound-guided fine-needle aspiration: A systematic review and meta-analysis. JGH Open 2023; 7:403-409. [PMID: 37359117 PMCID: PMC10290272 DOI: 10.1002/jgh3.12929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/23/2023] [Accepted: 05/11/2023] [Indexed: 06/28/2023]
Abstract
Scirrhous gastric cancer (SGC) is diagnosed using endoscopy and/or biopsy; however, SGC diagnosis remains challenging owing to its special growth form and morphologic features. Hence, endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA), which is minimally invasive and has a high proportion of diagnostic tissue, may be an alternative investigative modality for patients with suspected SGC. This systematic review and meta-analysis aimed to identify and evaluate the evidence for the efficacy and safety of EUS-FNA in patients with suspected SGC. We conducted a systematic review using the PubMed (MEDLINE) and Ichushi-Web (NPO Japan Medical Abstracts Society) databases and included all entries in which SGC was evaluated using EUS-FNA in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement from the databases' inception to October 10, 2022. The primary outcome was the proportion of SGC diagnosed using EUS-FNA. In addition, we analyzed the proportion of adverse events associated with EUS-FNA. The electronic search identified 1890 studies; overall, four studies met the selection criteria and reported data on EUS-FNA performed on 114 patients with suspected SGC. The overall diagnostic yield of EUS-FNA for SGC was 82.6% (95% confidence interval, 74.6-90.6%) and the statistical heterogeneity was 0% (I 2 = 0%), indicating a low heterogeneity. Furthermore, the EUS-FNA diagnostic proportion for SGC lymph node metastasis was 75-100%, indicating a high diagnostic performance. The adverse event rate of EUS-FNA was 0%. EUS-FNA may be an alternative investigation mode for SGC patients with negative esophagogastroduodenoscopy-biopsy results.
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Affiliation(s)
- Ryuhei Jinushi
- Graduate School of MedicineInternational University of Health and WelfareTokyoJapan
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
- Department of Gastroenterology Medicine CenterShonan Kamakura General HospitalKanagawaJapan
| | - Masafumi Mizuide
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Yuki Tanisaka
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Sakue Masuda
- Department of Gastroenterology Medicine CenterShonan Kamakura General HospitalKanagawaJapan
| | - Kazuya Koizumi
- Department of Gastroenterology Medicine CenterShonan Kamakura General HospitalKanagawaJapan
| | - Akiko Sasaki
- Department of Gastroenterology Medicine CenterShonan Kamakura General HospitalKanagawaJapan
| | - Yo Ishihara
- Department of Gastroenterology Medicine CenterShonan Kamakura General HospitalKanagawaJapan
| | - Kento Shionoya
- Department of Gastroenterology Medicine CenterShonan Kamakura General HospitalKanagawaJapan
| | - Ryo Sato
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Kei Sugimoto
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Takahiro Shin
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Rie Shiomi
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Akashi Fujita
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Shomei Ryozawa
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Tsutomu Yamazaki
- Graduate School of MedicineInternational University of Health and WelfareTokyoJapan
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7
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Jinushi R, Kawasaki T, Ryozawa S. How to differentiate between invasive lobular carcinoma metastasis and type 4 advanced gastric cancer: The importance of immunohistochemistry. Clin Case Rep 2023; 11:e7529. [PMID: 37346887 PMCID: PMC10279933 DOI: 10.1002/ccr3.7529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/16/2023] [Accepted: 05/25/2023] [Indexed: 06/23/2023] Open
Abstract
Key Clinical Message Gastric metastases derived from breast carcinomas and type 4 advanced gastric cancers are often difficult to distinguish because of their similar endoscopic and pathologic findings. Therefore, immunohistochemical analyses are key to diagnosis. Abstract Gastric metastases originating from breast carcinomas and type 4 advanced gastric cancers are often difficult to distinguish because of their similar endoscopic and pathologic characteristics. This often delays early intervention and accordingly affects prognosis. Immunohistochemical analyses are important for both diagnosis and treatment of breast carcinomas.
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Affiliation(s)
- Ryuhei Jinushi
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
| | - Tomonori Kawasaki
- Department of PathologySaitama Medical University International Medical CenterSaitamaJapan
| | - Shomei Ryozawa
- Department of GastroenterologySaitama Medical University International Medical CenterSaitamaJapan
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8
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Sato R, Matsumoto K, Kanzaki H, Matsumi A, Miyamoto K, Morimoto K, Terasawa H, Fujii Y, Yamazaki T, Uchida D, Tsutsumi K, Horiguchi S, Kato H. Gastric linitis plastica with autoimmune pancreatitis diagnosed by an endoscopic ultrasonography-guided fine-needle biopsy: A case report. World J Clin Cases 2022; 10:11607-11616. [PMID: 36387831 PMCID: PMC9649568 DOI: 10.12998/wjcc.v10.i31.11607] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/30/2022] [Accepted: 09/27/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Gastric linitis plastica (GLP) is a subset of gastric cancer with a poor prognosis. It is difficult to obtain a definitive diagnosis by endoscopic mucosal biopsies, and the usefulness of an endoscopic ultrasonography-guided fine-needle biopsy (EUS-FNB) for GLP has been recently reported. Meanwhile, autoimmune diseases are occasionally known to coexist with malignant tumors as paraneoplastic syndrome. We herein report the usefulness of an EUS-FNB for detecting GLP and the possibility of paraneoplastic syndrome coexisting with GLP.
CASE SUMMARY An 81-year-old man was admitted to our hospital for a 1-mo history of epigastric pain that increased after eating. His laboratory data revealed high levels of serum carbohydrate antigen 19-9 and immunoglobulin-G4. Endoscopic examinations showed giant gastric folds and reddish mucosa; however, no epithelial changes were observed. The gastric lumen was not distensible by air inflation, suggesting GLP. Computed tomography showed the thickened gastric wall, the diffuse enlargement of the pancreas, and the peripancreatic rim, which suggested autoimmune pancreatitis (AIP) coexisting with GLP. Because the pathological findings of the endoscopic biopsy showed no malignancy, he underwent an EUS-FNB and was diagnosed with GLP. He received chemotherapy for unresectable gastric cancer due to peritoneal metastasis, after which both the gastric wall thickening and diffuse enlargement of the pancreas were improved.
CONCLUSION An EUS-FNB for GLP with a negative endoscopic biopsy is useful, and AIP may develop as a paraneoplastic syndrome.
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Affiliation(s)
- Ryosuke Sato
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Kazuyuki Matsumoto
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Hiromitsu Kanzaki
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Akihiro Matsumi
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Kazuya Miyamoto
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Kosaku Morimoto
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Hiroyuki Terasawa
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Yuki Fujii
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Tatsuhiro Yamazaki
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Daisuke Uchida
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Koichiro Tsutsumi
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Shigeru Horiguchi
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
| | - Hironari Kato
- Gastroenterology and Hepatology, Okayama University Hospital, Okayama 700-8558, Japan
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9
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Intelligent Reconstruction Algorithm-Based Computed Tomography Images for Automatic Detection of Gastric Tumor. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:8179766. [PMID: 35799664 PMCID: PMC9256342 DOI: 10.1155/2022/8179766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/09/2022] [Accepted: 06/11/2022] [Indexed: 11/17/2022]
Abstract
The aim of this study was to explore the application of computed tomography (CT) images in the diagnosis of gastric tumor under the intelligent reconstruction algorithm (IRA). 120 patients with gastric cancer were selected and all the patients underwent CT scanning, and CT images were analyzed based on the Feldkamp-Davis-Kress algorithm (FDK algorithm) to evaluate the imaging features of gastric lesions. According to biopsy or surgical pathology, the detection rate of CT images was calculated. The results showed that there were three pathological types of benign tumors (polyps, leiomyomas, and mesenchymomas) and three pathological types of malignant tumors (mesenchymomas, adenomas, and lymphomas). In addition, the detection rates of CT scans were different, reaching 94.2% on different orientations of the stomach, 90.7% of benign tumors, and 90.9% of malignant tumors, so the detection rate of different orientations was relatively high. CT images based on the FDK IRA could realize a high detection rate in diagnosis, accurately locate the lesion, and display the characteristics of the lesion and the metastasis of surrounding tissues; there were significant differences between benign and malignant gastric tumors in CT images, and the detection effect was obvious, which is worthy of clinical application and promotion.
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10
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Assaf A, Terris B, Palmieri LJ, Rouquette A, Beuvon F, Pellat A, Ali EA, Ginestet C, Belle A, Dhooge DM, Brezault DC, Hallit R, Dohan A, Chaussade S, Coriat R, Barret M. Endoscopic ultrasound guided fine needle biopsy in patients with suspected gastric linitis plastica. Clin Res Hepatol Gastroenterol 2022; 46:101903. [PMID: 35301155 DOI: 10.1016/j.clinre.2022.101903] [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: 01/27/2022] [Revised: 03/03/2022] [Accepted: 03/09/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Gastric linitis plastica (GLP) is a diffuse infiltrating type of gastric adenocarcinoma. It is associated with a poor prognosis and a five-year survival of 3-10%. The infiltrating profile of this tumor explains the low yield of the superficial mucosal biospies. The objective of this study was to investigate the role of endoscopic ultrasound-fine needle biopsy (EUS-FNB) in the diagnosis of GLP. METHODS We performed a retrospective analysis including all patients who had an EUS-FNB, at a tertiary referral center, over the last 3 years. The primary outcome was the sensitivity of EUS-FNB in patients with suspected GLP. RESULTS Between January 2017 and December 2020, 34 patients had an EUS-FNB for suspected GLP. Ten patients had a diagnostic of GLP. This diagnosis was obtained by EUS-FNB in 90% (9/10) of the cases. Eight patients had at least one previous esophagogastroduodenoscopy (EGD) with negative mucosal biopsies. Gastric EUS-FNB helped diagnose other serious conditions in 47% (16/34) of cases with inconclusive mucosal biopsies. CONCLUSION Gastric EUS-FNB in patients with suspected GLP and normal endoscopic mucosal biopsies may lead to a positive diagnosis of GLP in 90% of cases without notable adverse events. This technique should be considered as a second step in the setting of suspicion of GLP after inconclusive mucosal biopsies.
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Affiliation(s)
- Antoine Assaf
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France.
| | - Benoit Terris
- Departement of Pathology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Lola-Jade Palmieri
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Alexandre Rouquette
- Departement of Pathology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France
| | - Frédéric Beuvon
- Departement of Pathology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France
| | - Anna Pellat
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Einas Abou Ali
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Claire Ginestet
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Arthur Belle
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France
| | - Dr Marion Dhooge
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France
| | - Dr Catherine Brezault
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France
| | - Rachel Hallit
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France
| | - Anthony Dohan
- Department of Radiology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Stanislas Chaussade
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Romain Coriat
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
| | - Maximilien Barret
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, 27 rue du Faubourg St Jacques, 75014 Paris, France; Faculté de Médicine Paris Centre, Université de Paris, 75006 Paris, France
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11
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Yamada K, Kaneko J, Watahiki M, Ida Y, Koda M, Fukita K, Takeshita Y, Takahashi K, Takinami M, Tsuji A, Nishino M, Takahashi Y, Sasada Y, Yamada T. Endoscopic ultrasound-guided fine-needle biopsy for the diagnosis of gastric metastasis from breast cancer mimicking primary linitis plastica: A case report. DEN OPEN 2022; 2:e115. [PMID: 35873519 PMCID: PMC9302264 DOI: 10.1002/deo2.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 03/08/2022] [Accepted: 03/11/2022] [Indexed: 06/15/2023]
Abstract
For gastric lesions in a patient with a history of breast cancer, it is essential to distinguish between primary gastric cancer and gastric metastasis from breast cancer. However, gastric metastasis from breast cancer often mimics primary linitis plastica, and histological diagnosis may be difficult with conventional endoscopic biopsies. Herein, we describe the case of a 75-year-old woman who presented at our hospital with epigastralgia and vomiting. She had a history of mastectomy for carcinoma of the right breast and had received hormone therapy as adjuvant therapy. Computed tomography at arrival showed thickening of the gastric wall at the antrum and peritoneal dissemination. Esophagogastroduodenoscopy showed mucosal swelling of the antrum and stenosis of the pylorus, and histological diagnosis failed with conventional endoscopic biopsies. Endoscopic ultrasound-guided fine-needle biopsy using a Franseen needle was performed, and a diagnosis of gastric metastasis from breast cancer was made. She received hormone therapy and chemotherapy after deployment of a metallic stent for gastric outlet obstruction. To the best of our knowledge, this is the first case of gastric metastasis from breast cancer diagnosed using endoscopic ultrasound-guided fine-needle biopsy.
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Affiliation(s)
- Kenta Yamada
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | - Junichi Kaneko
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | - Moeka Watahiki
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | - Yuya Ida
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | - Megumu Koda
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | - Kyoichi Fukita
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | - Yu Takeshita
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | | | - Masaki Takinami
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | - Atsushi Tsuji
- Division of GastroenterologyIwata City HospitalShizuokaJapan
| | | | | | - Yuzo Sasada
- Division of HepatologyIwata City HospitalShizuokaJapan
| | - Takanori Yamada
- Division of GastroenterologyIwata City HospitalShizuokaJapan
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12
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Takahashi K, Yasuda I, Hanaoka T, Hayashi Y, Araki Y, Motoo I, Kajiura S, Ando T, Fujinami H, Tajiri K, Minemura M, Takahara T. Endoscopic ultrasound-guided fine-needle biopsy for the diagnosis of gastric linitis plastica. DEN OPEN 2022; 2:e38. [PMID: 35310721 PMCID: PMC8828176 DOI: 10.1002/deo2.38] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/31/2021] [Accepted: 06/15/2021] [Indexed: 06/14/2023]
Abstract
We report two cases of patients with gastric linitis plastica (GLP), in which the histopathological diagnosis was made by endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) using a Franseen-tip needle. Esophagogastroduodenoscopy findings showed mucosal swelling and poor distensibility of the gastric antrum. Abdominal computed tomography findings showed significant thickening of the gastric wall at the antrum. Conventional endoscopic and bite-on-bite biopsy were attempted but resulted in failure to diagnose the lesions. We performed EUS-FNB to obtain histopathological samples from a deeper site, which confirmed the diagnosis. We considered this method safe and effective for the diagnosis of GLP.
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Affiliation(s)
- Kosuke Takahashi
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Ichiro Yasuda
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Tatsuyuki Hanaoka
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Yuka Hayashi
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Yasuhiro Araki
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Iori Motoo
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Shinya Kajiura
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Takayuki Ando
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Haruka Fujinami
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Kazuto Tajiri
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Masami Minemura
- Third Department of Internal Medicine University of Toyama Toyama Japan
| | - Terumi Takahara
- Third Department of Internal Medicine University of Toyama Toyama Japan
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13
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Kim HY, Chang W, Lee YJ, Park JH, Cho J, Na HY, Ahn H, Hwang SI, Lee HJ, Kim YH, Lee KH. Adrenal Nodules Detected at Staging CT in Patients with Resectable Gastric Cancers Have a Low Incidence of Malignancy. Radiology 2021; 302:129-137. [PMID: 34665031 DOI: 10.1148/radiol.2021211210] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Guidelines recommending additional imaging for adrenal nodules lack relevant epidemiologic evidence. Purpose To measure the prevalence of adrenal nodules detected at staging CT in patients with potentially resectable gastric cancer and the proportion of patients with malignant nodules among them. Materials and Methods This retrospective study included 10 250 consecutive patients (median age, 63 years; interquartile range, 53-71 years; 6884 men) who underwent staging CT and had potentially resectable gastric cancer in a tertiary center (May 2003 to December 2018). All 10 250 CT studies were retrospectively reviewed, and patients with adrenal nodules (or thickening ≥10 mm) were identified to measure the prevalence of adrenal nodules. Among patients with adrenal nodules, the per-patient proportions of malignant nodules, adrenal metastasis from gastric cancer, and additional adrenal examinations were measured. A secondary analysis was performed by using data from the original CT reports. The same metrics that were used in the retrospective review were assessed. Results The prevalence of adrenal nodules was 4.5% (95% CI: 4.1, 4.9; 462 of 10 250). The proportions of malignant nodules and adrenal metastasis from gastric cancer were 0.4% ( 95% CI: 0.1, 1.6; two of 462) and 0% (95% CI: 0.0, 0.8; 0 of 462), respectively. A total of 27% of the patients (95% CI: 23, 31; 123 of 462) underwent additional adrenal examination. According to original CT reports, the prevalence of adrenal nodules and the proportions of malignant nodules, adrenal metastases from gastric cancer, and additional adrenal examination were 2.7% (95% CI: 2.4, 3.0; 272 of 10 250), 0.7% (95% CI: 0.1, 2.6; two of 272), 0% (95% CI: 0.0, 1.4; 0 of 272), and 42.6% (95% CI: 36.7, 48.8; 116 of 272), respectively. Conclusion Although adrenal nodules were detected frequently on staging CT images of patients with otherwise resectable gastric cancer, these nodules were rarely malignant. ©RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Baumgarten in this issue.
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Affiliation(s)
- Hae Young Kim
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Won Chang
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Yoon Jin Lee
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Ji Hoon Park
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Jungheum Cho
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Hee Young Na
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Hyungwoo Ahn
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Sung Il Hwang
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Hak Jong Lee
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Young Hoon Kim
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
| | - Kyoung Ho Lee
- From the Departments of Radiology (H.Y.K., W.C., Y.J.L., J.H.P., J.C., H.A., S.I.H., H.J.L., Y.H.K., K.H.L.) and Pathology (H.Y.N.), Seoul National University Bundang Hospital, 82 Gumi-ro-173-beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Korea; Department of Pathology, Seoul National University College of Medicine, Seoul, Korea (H.Y.N.); Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea (K.H.L.); Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (H.J.L., Y.H.K., K.H.L.); and Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea (K.H.L.)
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14
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Wang S, Dong D, Zhang W, Hu H, Li H, Zhu Y, Zhou J, Shan X, Tian J. Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research. Med Phys 2021; 48:5017-5028. [PMID: 34260756 DOI: 10.1002/mp.15094] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 05/31/2021] [Accepted: 06/30/2021] [Indexed: 01/06/2023] Open
Abstract
PURPOSE Borrmann classification in advanced gastric cancer (AGC) is necessarily associated with personalized surgical strategy and prognosis. But few radiomics research studies have focused on specific Borrmann classification, and there is yet no consensus regarding what machine learning methods should be the most effective. METHODS A combined size of 889 AGC patients was retrospectively enrolled from two centers. Radiomic features were extracted from tumors manually delineated on preoperative computed tomography images. Two classification experiments (Borrmann I/II/III vs. IV and Borrmann II vs. III) were conducted. In each task, we combined three common feature selection methods and five typical machine learning classifiers to construct 15 basic classification models, and then fed the 15 predictions to a designed multilayer perceptron (MLP) network. RESULTS In internal and external validation cohorts, the proposed ensemble MLP yielded good performance with area under curves of 0.767 and 0.702 for Borrmann I/II/III vs. IV, as well as 0.768 and 0.731 for Borrmann II vs. III. Considering the imbalanced distribution of four Borrmann types (I, 2.9%; II, 12.8%; III, 69.5%; IV, 14.7%), the ensemble MLP surpassed the overfitting barrier and attained fine specificity (0.667 and 0.750 for Borrmann I/II/III vs. IV; 0.714 and 0.620 for Borrmann II vs. III) and sensitivity (0.795 and 0.610 for Borrmann I/II/III vs. IV; 0.652 and 0.703 for Borrmann II vs. III). Also, survival analysis showed that patients could be significantly risk stratified by MLP predicted types in both experiments (p < 0.0001, log-rank test). CONCLUSIONS This study proposed an MLP-based ensemble learning architecture, which could identify Borrmann type IV automatically and improve the differentiation of Borrmann type II from III. The study provided a new view for specific Borrmann classification in clinical practice.
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Affiliation(s)
- Siwen Wang
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Di Dong
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Wenjuan Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Hui Hu
- Department of Radiology, Affiliated Renmin Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Hailin Li
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Yongbei Zhu
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Xiuhong Shan
- Department of Radiology, Affiliated Renmin Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
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15
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Cha DI, Lee J, Jeong WK, Kim ST, Kim JH, Hong JY, Kang WK, Kim KM, Kim SW, Choi D. Prediction of epithelial-to-mesenchymal transition molecular subtype using CT in gastric cancer. Eur Radiol 2021; 32:1-11. [PMID: 34120231 DOI: 10.1007/s00330-021-08094-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/07/2021] [Accepted: 05/21/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVES To develop a prediction model with computed tomography (CT) images and to build a nomogram incorporating known clinicopathologic variables for individualized estimation of epithelial-to-mesenchymal transition (EMT) subtype gastric cancer. METHODS Patients who underwent primary resection of gastric cancer (GC) and molecular subgroup analysis (n = 451) were reviewed. Multivariable analysis using a stepwise variable selection method was performed to build a predictive model for EMT subtype GC. A nomogram using the results of the multivariable analysis was constructed. An optimal cutoff value of total prognostic points of the nomogram for the prediction of EMT subtype was determined. The predictive model for the EMT subtype was internally validated by bootstrap resampling method. RESULTS There were 88 patients with EMT subtype and 363 patients with non-EMT subtype based on transcriptome analysis. The patient's age, Lauren classification, and mural stratification on CT were variables selected for the predictive model. The area under the curve (AUC) of the model was 0.865, and the validated AUC of the bootstrap sample was 0.860. The optimal cutoff value of total prognostic points for the prediction of EMT subtype was 94.622, with 90.9% sensitivity, 67.2% specificity, and 71.8% accuracy. CONCLUSION A predictive model using patient's age, Lauren classification, and mural stratification on CT for EMT molecular subtype GC was made. A nomogram was built which would serve as a useful screening tool for an individualized estimate of EMT subtype. KEY POINTS • A predictive model for epithelial-to-mesenchymal transition (EMT) subtype incorporating patient's age, Lauren classification, and mural stratification on CT was built. • The predictive model had high diagnostic accuracy (area under the curve (AUC) = 0.865) and was validated (bootstrap AUC = 0.860). • Adding CT findings to clinicopathologic variables increases the accuracy of the predictive model than using only.
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Affiliation(s)
- Dong Ik Cha
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Woo Kyoung Jeong
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
| | - Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae-Hun Kim
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Jung Yong Hong
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Ki Kang
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seon Woo Kim
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dongil Choi
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
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Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer. Clin Transl Gastroenterol 2020; 10:e00079. [PMID: 31577560 PMCID: PMC6884348 DOI: 10.14309/ctg.0000000000000079] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Adverse histopathological status (AHS) decreases outcomes of gastric cancer (GC). With the lack of a single factor with great reliability to preoperatively predict AHS, we developed a computational approach by integrating large-scale imaging factors, especially radiomic features at contrast-enhanced computed tomography, to predict AHS and clinical outcomes of patients with GC. METHODS Five hundred fifty-four patients with GC (370 training and 184 test) undergoing gastrectomy were retrospectively included. Six radiomic scores (R-scores) related to pT stage, pN stage, Lauren & Borrmann (L&B) classification, World Health Organization grade, lymphatic vascular infiltration, and an overall histopathologic score (H-score) were, respectively, built from 7,000+ radiomic features. R-scores and radiographic factors were then integrated into prediction models to assess AHS. The developed AHS-based Cox model was compared with the American Joint Committee on Cancer (AJCC) eighth stage model for predicting survival outcomes. RESULTS Radiomics related to tumor gray-level intensity, size, and inhomogeneity were top-ranked features for AHS. R-scores constructed from those features reflected significant difference between AHS-absent and AHS-present groups (P < 0.001). Regression analysis identified 5 independent predictors for pT and pN stages, 2 predictors for Lauren & Borrmann classification, World Health Organization grade, and lymphatic vascular infiltration, and 3 predictors for H-score, respectively. Area under the curve of models using those predictors was training/test 0.93/0.94, 0.85/0.83, 0.63/0.59, 0.66/0.63, 0.71/0.69, and 0.84/0.77, respectively. The AHS-based Cox model produced higher area under the curve than the eighth AJCC staging model for predicting survival outcomes. Furthermore, adding AHS-based scores to the eighth AJCC staging model enabled better net benefits for disease outcome stratification. DISCUSSION The developed computational approach demonstrates good performance for successfully decoding AHS of GC and preoperatively predicting disease clinical outcomes.
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Abstract
Gastric cancer is the fifth most common malignancies and the third leading cause of cancer-related death worldwide, with more than 40% of new cases occurring in China. With the advancement of treatment methods, the application of adjuvant therapy and targeted drugs, the prognosis of patients with gastric cancer has been significantly improved. In recent years, more and more studies have reported that magnetic resonance imaging (MRI) showed great value in the clinical application among patients with gastric cancer, including preoperative staging, treatment response evaluation, predicting prognosis and histopathological features, treatment guidance, and molecular imaging. The remarkable research progress of MRI in gastric cancer will provide new evaluation and treatment approaches for clinical diagnosis and treatment. This article aims to review the current status of the application and research progress of MRI in patients with gastric cancer.
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Affiliation(s)
- Yingjing Zhang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jianchun Yu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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Jiang M, Wang X, Shan X, Pan D, Jia Y, Ni E, Hu Y, Huang H. Value of multi-slice spiral computed tomography in the diagnosis of metastatic lymph nodes and N-stage of gastric cancer. J Int Med Res 2018; 47:281-292. [PMID: 30501533 PMCID: PMC6384478 DOI: 10.1177/0300060518800611] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Objective To establish new diagnostic criteria for improvement of the accuracy of multi-slice spiral computed tomography (MSCT) in diagnosing the N-stage and lymph node (LN) metastasis of gastric cancer (GC). Methods MSCT was performed with plain and triphasic dynamic contrast enhancement. Different regions of LN metastasis and N-staging were determined according to the herein-proposed combined diagnostic criteria and were then correlated with the pathological analysis. The Kappa consistency test was used to study the accuracy of MSCT. Results The accuracy of MSCT in diagnosing the N-stage as a whole was 86.3%, and that in diagnosing LN metastasis was 79.1% to 98.9%. The Kappa values for stages N0, N1, and N3 ranged from 0.449 to 0.662, indicating good consistency in diagnosing these three stages between MSCT and the postsurgical pathological results. The Ktotal value was 0.567 between MSCT and the postsurgical pathological results in diagnosing LN metastasis. The risk of LN metastasis increased with the progression of lesion infiltrates. Conclusions Application of the combined diagnostic criteria increased the diagnostic performance of MSCT in not only judging the N-stage but also diagnosing LN metastasis. This study will provide valuable reference data for surgical planning for patients with GC in the clinical setting.
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Affiliation(s)
- Min Jiang
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Xiaoxiao Wang
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Xiuhong Shan
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Donggang Pan
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Yingjun Jia
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Enzhen Ni
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Yuan Hu
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Hao Huang
- Department of Medical Imaging, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
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Kim SM, Bae JM, Choi MG, Lee JH, Sohn TS, Kim S. Oncological safety of use of ultrasonic activated shears in gastric cancer surgery: Long-term results of randomized controlled trial. Chin J Cancer Res 2018; 30:492-499. [PMID: 30510360 PMCID: PMC6232358 DOI: 10.21147/j.issn.1000-9604.2018.05.02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Objective Ultrasonically activated shears (UAS) have been applied in open gastric surgeries with no or little evidence. It was previously reported about the surgical outcome and effectiveness of UAS based on a randomized controlled trial of 256 patients with gastric cancer. We aimed to clarify the long-term oncological safety of the use of UAS in the aspect of overall survival and recurrence. Methods Gastric cancer patients who underwent gastrectomy with D2 lymph node dissection were enrolled and randomly assigned to either the conventional surgery group (n=125) or the UAS group (n=128). Survival, recurrence and long-term postoperative complications were compared between the two groups. The median follow-up period was 56 months. Results Gastric cancer-related death was higher in patients of the UAS group compared with the conventional group (P=0.019). Overall survival rates stratified by stage were not significantly different between the two groups (P=0.170). Disease-free survival rates stratified by stage and recurrence-free survival rates of gastric cancer were similar between the conventional group and the UAS group (P=0.313 and 0.199, respectively). The postoperative complication rate was not significantly different between the groups (P=1.000). Conclusions It is suggested that the use of UAS in gastrectomy for gastric cancer showed oncologically acceptable safety compared with conventional electric instruments even in long-term period.
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Affiliation(s)
- Su Mi Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Jae-Moon Bae
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Min-Gew Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Jun Ho Lee
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Tae Sung Sohn
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Sung Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
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Endoscopic ultrasound-guided fine-needle aspiration biopsy for diagnosis of gastric linitis plastica with negative malignant endoscopy biopsies. Oncol Lett 2018; 16:4915-4920. [PMID: 30250557 PMCID: PMC6144711 DOI: 10.3892/ol.2018.9258] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 07/17/2018] [Indexed: 12/12/2022] Open
Abstract
The value of endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) biopsy in the gastric linitis plastica (GLP) with negative malignant endoscopy biopsies was investigated. Forty-six patients with linitis plastica who had undergone EUS-FNA were retrospectively studied, and their clinicopathological data were examined. Among the 46 eligible patients, 38 cases were diagnosed clearly by EUS-FNA. There were 24 cases with lymph node metastasis in the 38 patients. Both the lymph nodes and gastric lesions were punctured by EUS-FNA in the 24 cases. We compared the diagnostic accuracy in different sites, and the results showed that the diagnostic accuracy in lymph nodes was significantly higher than that in gastric lesions (P<0.05). Among them, 16 patients underwent surgical resection, and the accuracy of the pathological diagnosis by EUS-FNA was 87.5% (14/16). The preoperative diagnostic accuracy of T and N staging by endoscopic ultrasound (EUS) were both 75%. Neither severe hemorrhage nor perforation occurred in any patient. In conclusion, EUS-FNA is a safe and effective procedure for the diagnosis of indefinite linitis plastica, and puncturing metastatic lymph nodes can improve the diagnostic accuracy.
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Park JE, Han K, Sung YS, Chung MS, Koo HJ, Yoon HM, Choi YJ, Lee SS, Kim KW, Shin Y, An S, Cho HM, Park SH. Selection and Reporting of Statistical Methods to Assess Reliability of a Diagnostic Test: Conformity to Recommended Methods in a Peer-Reviewed Journal. Korean J Radiol 2017; 18:888-897. [PMID: 29089821 PMCID: PMC5639154 DOI: 10.3348/kjr.2017.18.6.888] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 07/28/2017] [Indexed: 12/13/2022] Open
Abstract
Objective To evaluate the frequency and adequacy of statistical analyses in a general radiology journal when reporting a reliability analysis for a diagnostic test. Materials and Methods Sixty-three studies of diagnostic test accuracy (DTA) and 36 studies reporting reliability analyses published in the Korean Journal of Radiology between 2012 and 2016 were analyzed. Studies were judged using the methodological guidelines of the Radiological Society of North America-Quantitative Imaging Biomarkers Alliance (RSNA-QIBA), and COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) initiative. DTA studies were evaluated by nine editorial board members of the journal. Reliability studies were evaluated by study reviewers experienced with reliability analysis. Results Thirty-one (49.2%) of the 63 DTA studies did not include a reliability analysis when deemed necessary. Among the 36 reliability studies, proper statistical methods were used in all (5/5) studies dealing with dichotomous/nominal data, 46.7% (7/15) of studies dealing with ordinal data, and 95.2% (20/21) of studies dealing with continuous data. Statistical methods were described in sufficient detail regarding weighted kappa in 28.6% (2/7) of studies and regarding the model and assumptions of intraclass correlation coefficient in 35.3% (6/17) and 29.4% (5/17) of studies, respectively. Reliability parameters were used as if they were agreement parameters in 23.1% (3/13) of studies. Reproducibility and repeatability were used incorrectly in 20% (3/15) of studies. Conclusion Greater attention to the importance of reporting reliability, thorough description of the related statistical methods, efforts not to neglect agreement parameters, and better use of relevant terminology is necessary.
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Affiliation(s)
- Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Korea
| | - Yu Sub Sung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Mi Sun Chung
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul 06973, Korea
| | - Hyun Jung Koo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Hee Mang Yoon
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Young Jun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Seung Soo Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Kyung Won Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Youngbin Shin
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Suah An
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Hyo-Min Cho
- Korea Research Institute of Standards and Science, Daejeon 34113, Korea
| | - Seong Ho Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
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Liu YM, Yang XJ. Endoscopic ultrasound-guided cutting of holes and deep biopsy for diagnosis of gastric infiltrative tumors and gastrointestinal submucosal tumors using a novel vertical diathermic loop. World J Gastroenterol 2017; 23:2795-2801. [PMID: 28487617 PMCID: PMC5403759 DOI: 10.3748/wjg.v23.i15.2795] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 02/20/2017] [Accepted: 03/15/2017] [Indexed: 02/06/2023] Open
Abstract
AIM To report on a more accurate diagnostic possibility offered by endoscopic ultrasound-guided cutting of holes and deep biopsy (EUS-CHDB) for pathologic diagnosis of gastric infiltrative tumors and gastrointestinal submucosal tumors.
METHODS Ten consecutive patients who were suspected of having gastric invasive tumors or gastrointestinal submucosal tumors underwent EUS-CHDB with a novel vertical diathermic loop. We reviewed their medical data and analysed the effectiveness and safety of this new method. The final diagnosis was based on the surgical pathology or clinical/imaging follow-up.
RESULTS EUS-CHDB was performed successfully in all the ten patients. Neither severe haemorrhage nor perforation occurred in any patient. Among the ten patients, there were three cases of gastric linitis plastica, one case of gastric lymphoma, five cases of gastrointestinal stromal tumors (GISTs), and only one case of chronic non-atrophic gastritis. That is, nine (90%) of the cases treated by EUS-CHDB showed positive findings.
CONCLUSION EUS-CHDB may be a technically feasible and safe option for patients with gastric infiltrative tumors or gastrointestinal submucosal tumors. EUS-CHDB may be used as a remedial or even preferred biopsy method for submucosal lesions.
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Diffuse-type gastric cancer: specific enhancement pattern on multiphasic contrast-enhanced computed tomography. Jpn J Radiol 2017; 35:289-295. [PMID: 28281045 DOI: 10.1007/s11604-017-0631-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 02/28/2017] [Indexed: 01/18/2023]
Abstract
PURPOSE To evaluate the enhancement pattern of diffuse-type gastric cancers (DGCs) on multiphasic contrast-enhanced computed tomography gastrography (CECTG). METHODS AND MATERIALS We studied 21 consecutive clinically diagnosed DGC patients who underwent CECTG. Gastric distension was obtained using effervescent granules. CT images were obtained 40 s (arterial phase) and 240 s (delayed phase) after injection of a nonionic contrast material. Two radiologists reviewed the CT images and analyzed layers and enhancement patterns. The readers evaluated the enhancement degree (mild, moderate, or marked) and calculated CT attenuation values by placing circular regions of interest (ROIs) within each layer of the lesion. The CT findings of 11 operated cases were correlated with pathological results. RESULTS Most lesions were double-layered in the arterial phase, with a moderately enhanced inner layer and a mildly enhanced outer layer, and single-layered in the delayed phase. The mean attenuation value of the inner layer (146 ± 32.8 HU) was significantly higher than that of the outer layer (80.4 ± 15.5 HU) in the arterial phase (p = 0.0001). In the pathological analysis, wall stratification was preserved in nine cases and not preserved in two cases. CONCLUSION Most DGCs showed a double-layered pattern in the arterial phase and a single-layered pattern with moderate enhancement in the delayed phase.
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Arslan H, Fatih Özbay M, Çallı İ, Doğan E, Çelik S, Batur A, Bora A, Yavuz A, Bulut MD, Özgökçe M, Çetin Kotan M. Contribution of diffusion weighted MRI to diagnosis and staging in gastric tumors and comparison with multi-detector computed tomography. Radiol Oncol 2017; 51:23-29. [PMID: 28265229 PMCID: PMC5330170 DOI: 10.1515/raon-2017-0002] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2016] [Accepted: 08/24/2016] [Indexed: 12/19/2022] Open
Abstract
Background Diagnostic performance of Diffusion-Weighted magnetic resonance Imaging (DWI) and Multi-Detector Computed Tomography (MDCT) for TNM (Tumor, Lymph node, Metastasis) staging of gastric cancer was compared. Patients and methods We used axial T2-weighted images and DWI (b-0,400 and b-800 s/mm2) protocol on 51 pre-operative patients who had been diagnosed with gastric cancer. We also conducted MDCT examinations on them. We looked for a signal increase in the series of DWI images. The depth of tumor invasion in the stomach wall (tumor (T) staging), the involvement of lymph nodes (nodal (N) staging), and the presence or absence of metastases (metastatic staging) in DWI and CT images according to the TNM staging system were evaluated. In each diagnosis of the tumors, sensitivity, specificity, positive and negative accuracy rates of DWI and MDCT examinations were found through a comparison with the results of the surgical pathology, which is the gold standard method. In addition to the compatibilities of each examination with surgical pathology, kappa statistics were used. Results Sensitivity and specificity of DWI and MDCT in lymph node staging were as follows: N1: DWI: 75.0%, 84.6%; MDCT: 66.7%, 82%;N2: DWI: 79.3%, 77.3%; MDCT: 69.0%, 68.2%; N3: DWI: 60.0%, 97.6%; MDCT: 50.0%, 90.2%. The diagnostic tool DWI seemed more compatible with the gold standard method (surgical pathology), especially in the staging of lymph node, when compared to MDCT. On the other hand, in T staging, the results of DWI and MDCT were better than the gold standard when the T stage increased. However, DWI did not demonstrate superiority to MDCT. The sensitivity and specificity of both imaging techniques for detecting distant metastasis were 100%. Conclusions The diagnostic accuracy of DWI for TNM staging in gastric cancer before surgery is at a comparable level with MDCT and adding DWI to routine protocol of evaluating lymph nodes metastasis might increase diagnostic accuracy.
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Affiliation(s)
- Harun Arslan
- YuzuncuYil University DursunOdabas Medical Center, Department of Radiology, Van, Turkey
| | - Mehmet Fatih Özbay
- Van Training and Research Hospital, Department of İnternal Medicine, Van, Turkey
| | - İskan Çallı
- Van Training and Research Hospital, Department of General Surgery, Van, Turkey
| | - Erkan Doğan
- YuzuncuYil University DursunOdabas Medical Center, Department of Medical Oncology, Van, Turkey
| | - Sebahattin Çelik
- YuzuncuYil University DursunOdabas Medical Center, Department of General Surgery, Van, Turkey
| | - Abdussamet Batur
- YuzuncuYil University DursunOdabas Medical Center, Department of Radiology, Van, Turkey
| | - Aydın Bora
- YuzuncuYil University DursunOdabas Medical Center, Department of Radiology, Van, Turkey
| | - Alpaslan Yavuz
- YuzuncuYil University DursunOdabas Medical Center, Department of Radiology, Van, Turkey
| | - Mehmet Deniz Bulut
- YuzuncuYil University DursunOdabas Medical Center, Department of Radiology, Van, Turkey
| | - Mesut Özgökçe
- YuzuncuYil University DursunOdabas Medical Center, Department of Radiology, Van, Turkey
| | - Mehmet Çetin Kotan
- YuzuncuYil University DursunOdabas Medical Center, Department of Radiology, Van, Turkey
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Kim J, Kim SM, Ha MH, Seo JE, Choi MG, Lee JH, Sohn TS, Kim S, Jung SH, Bae JM. Does the interval of screening endoscopy affect survival in gastric cancer patients?: A cross-sectional study. Medicine (Baltimore) 2016; 95:e5490. [PMID: 27930534 PMCID: PMC5266006 DOI: 10.1097/md.0000000000005490] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Gastric cancer remains the second most common cancer in Korea; however, its mortality has decreased due to earlier diagnosis. In Korea, screening endoscopy has been performed nationwide since 1999. The aim of this study was to elucidate the benefit of screening endoscopy on actual survival in gastric cancer patients and to determine the optimal interval of screening endoscopy.We analyzed 1651 patients diagnosed with gastric adenocarcinoma who underwent surgical treatment between June 2008 and December 2014. Patients were divided into 4 groups according to the interval of screening endoscopy prior to their gastric cancer diagnosis. (Group I = within 1 year, Group II = >1 but <2 years, Group III = more than 2 years, Group IV = no prior endoscopic examination). Patient demographics, clinicopathologic characteristics, and postoperative surgical outcomes including overall survival were compared.The 5-year gastric cancer-specific survival rates of groups I and II were significantly higher than groups III and IV (90.9% vs 85.4%, P = 0.002, respectively). Multivariate analysis showed that screening interval was an independent factor for the diagnosis of advanced gastric cancer. The risk of advanced gastric cancer decreased in group I (odds ratio: 0.515, 95% confidence interval [CI] 0.369-0.719; P < 0.001) and group II (odds ratio: 0.678, 95% CI 0.517-0.889, P = 0.005).Screening endoscopy was helpful in increasing the survival of gastric cancer patients. A 2-year endoscopic screening interval is suitable to detect early-stage gastric cancer.
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Affiliation(s)
- Jieun Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Su Mi Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Man Ho Ha
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Jeong Eun Seo
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Min-Gew Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Jun Ho Lee
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Tae Sung Sohn
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Sung Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Sin-Ho Jung
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Sungkyunkwan University Samsung Advanced Institute for Health Sciences and Technology, Gangnam-gu, Seoul, Republic of Korea
| | - Jae Moon Bae
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
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Choi YJ, Chung MS, Koo HJ, Park JE, Yoon HM, Park SH. Does the Reporting Quality of Diagnostic Test Accuracy Studies, as Defined by STARD 2015, Affect Citation? Korean J Radiol 2016; 17:706-14. [PMID: 27587959 PMCID: PMC5007397 DOI: 10.3348/kjr.2016.17.5.706] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Accepted: 05/29/2016] [Indexed: 01/30/2023] Open
Abstract
Objective To determine the rate with which diagnostic test accuracy studies that are published in a general radiology journal adhere to the Standards for Reporting of Diagnostic Accuracy Studies (STARD) 2015, and to explore the relationship between adherence rate and citation rate while avoiding confounding by journal factors. Materials and Methods All eligible diagnostic test accuracy studies that were published in the Korean Journal of Radiology in 2011–2015 were identified. Five reviewers assessed each article for yes/no compliance with 27 of the 30 STARD 2015 checklist items (items 28, 29, and 30 were excluded). The total STARD score (number of fulfilled STARD items) was calculated. The score of the 15 STARD items that related directly to the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 was also calculated. The number of times each article was cited (as indicated by the Web of Science) after publication until March 2016 and the article exposure time (time in months between publication and March 2016) were extracted. Results Sixty-three articles were analyzed. The mean (range) total and QUADAS-2-related STARD scores were 20.0 (14.5–25) and 11.4 (7–15), respectively. The mean citation number was 4 (0–21). Citation number did not associate significantly with either STARD score after accounting for exposure time (total score: correlation coefficient = 0.154, p = 0.232; QUADAS-2-related score: correlation coefficient = 0.143, p = 0.266). Conclusion The degree of adherence to STARD 2015 was moderate for this journal, indicating that there is room for improvement. When adjusted for exposure time, the degree of adherence did not affect the citation rate.
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Affiliation(s)
- Young Jun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Mi Sun Chung
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Hyun Jung Koo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Hee Mang Yoon
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Seong Ho Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
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Zhu FQ, Chu HJ, Gong ZH, Du FC, Chen J, Jiang LX. Undiagnosed Borrmann type IV gastric cancer despite repeated endoscopic biopsies and PET-CT examination: A case report. Oncol Lett 2016; 12:1485-1488. [PMID: 27446457 PMCID: PMC4950615 DOI: 10.3892/ol.2016.4763] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 04/12/2016] [Indexed: 12/23/2022] Open
Abstract
Borrmann type IV gastric cancer is a particular histological type of carcinoma, which has the characteristic of diffused infiltration that invades the entire stomach, resulting in the thickening and stiffness of the stomach wall. Borrmann type IV gastric cancer is known for the difficulty of detecting tumor cells in endoscopic biopsy specimens. This is crucial in obtaining the pathological results to make a therapeutic decision. The case reported in the present study was highly suspected to be Borrmann type IV gastric cancer according to the clinical manifestations and gastrointestinal barium meal examinations, but demonstrated negative results in multiple endoscopic biopsies and positron emission tomography-computed tomography (PET-CT) examination. The patient was discharged as no affirmative diagnosis was specified. Two weeks after discharge, the patient was administered to another hospital under emergency treatment due to frequent urination. Cystoscopy examination revealed marked thickening of the right bladder wall over a large area. Biopsy specimens were sampled. Pathological consultation suggested a gastrointestinal original of the lesion, which was most likely poorly differentiated gastric adenocarcinoma with neuroendocrine metastasis to the bladder.
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Affiliation(s)
- Fang-Qing Zhu
- First Department of Medical Oncology, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China; First Clinical College, Dalian Medical University, Dalian, Liaoning 116000, P.R. China
| | - Hong-Jin Chu
- Central Laboratory, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Zhao-Hua Gong
- Second Department of Medical Oncology, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Feng-Cai Du
- First Department of Medical Oncology, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China; First Clinical College, Dalian Medical University, Dalian, Liaoning 116000, P.R. China
| | - Jian Chen
- First Department of Medical Oncology, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China; Central Laboratory, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Li-Xin Jiang
- Department of Gastrointestinal Surgery, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
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Burgain C, Germain A, Bastien C, Orry X, Choné L, Claudon M, Laurent V. Computed tomography features of gastrointestinal linitis plastica: spectrum of findings in early and delayed phase imaging. Abdom Radiol (NY) 2016; 41:1370-7. [PMID: 26814502 DOI: 10.1007/s00261-016-0652-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE To analyze the features of gastrointestinal linitis plastica obtained by computed tomography (CT). MATERIALS AND METHODS We conducted a single-center, retrospective analysis of 45 cases of gastrointestinal tract linitis plastica collected over a 10-year period. "Linitis plastica" was defined based on histological characteristics. Primary and secondary linitis plastica were included. Two readers independently assessed the radiological findings (i.e., number of lesions, mass, wall thickening, and enhancement). RESULTS The patient cohort comprised 23 men and 22 women with an average age of 63.2 years. The main presenting signs and symptoms were impaired general health and ascites (22/45 patients, 48.8%). The stomach was the affected organ in 68.3% of the cases, while the rectum was affected in 11.7% of the cases. Primary linitis was found in 73.3% of the cases, and solitary lesions were found in 77.8% of the cases. The most common CT finding was wall thickening (91.7%) with a complete disappearance of folds and enhancement of the entire wall at 2 min. Four lesions (6.6%) were described as masses, and only one (1.7%) was described as a wall atrophy. CONCLUSION Linitis plastica can affect the entire digestive system. Its potentially secondary nature necessitates a systematic search for a primary tumor. An appropriate CT protocol is required to detect the specific radiological features of this fibrous cancer. CT can help confirm the diagnosis of linitis plastica, rule out differential diagnoses, and indicate the need for deep biopsies where possible.
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Lee DH, Kim SH, Joo I, Hur BY, Han JK. Comparison between 18F-FDG PET/MRI and MDCT for the assessment of preoperative staging and resectability of gastric cancer. Eur J Radiol 2016; 85:1085-91. [DOI: 10.1016/j.ejrad.2016.03.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Revised: 03/17/2016] [Accepted: 03/18/2016] [Indexed: 12/19/2022]
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Yan Z, Qiu JH. Value of computed tomography with multi-direction adjusting multi-planar reformation in differential diagnosis between Borrmann types Ⅱ and Ⅲ gastric cancer. Shijie Huaren Xiaohua Zazhi 2015; 23:2280-2284. [DOI: 10.11569/wcjd.v23.i14.2280] [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] [Indexed: 02/06/2023] Open
Abstract
AIM: To evaluate the value of computed tomography (CT) with multi-direction adjusting multi-planar reformation (MPR) in the differential diagnosis between Borrmann types Ⅱ and Ⅲ gastric cancer.
METHODS: Eighty patients with pathologically proven gastric cancer underwent contrast enhanced CT examinations, and all the images were reconstructed by multi-direction adjusting MPR and normal reformation. The diagnostic results by the two construction methods were compared with the pathology as the gold standard, and the consistency and accuracy were analyzed by the Chi-square test.
RESULTS: Of the 80 patients, 33 had Borrmann type Ⅱ disease and 47 had Borrmann type Ⅲ. The value of Kappa and accuracy of multi-direction adjusting MPR in the differential diagnosis between Borrmann types Ⅱ and Ⅲ gastric cancer were 0.77 and 88.8%, respectively, which were higher than those of the normal reformation. Borrmann type Ⅱ gastric cancer was diagnosed more easily than type Ⅲ.
CONCLUSION: The accuracy of multi-direction adjusting MPR in the differential diagnosis between Borrmann types Ⅱ and Ⅲ gastric cancer is higher than the normal reformation and is close to pathology.
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CT differentiation of poorly-differentiated gastric neuroendocrine tumours from well-differentiated neuroendocrine tumours and gastric adenocarcinomas. Eur Radiol 2015; 25:1946-57. [PMID: 25899412 DOI: 10.1007/s00330-015-3600-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 11/04/2014] [Accepted: 01/13/2015] [Indexed: 12/29/2022]
Abstract
PURPOSE To evaluate the differential CT features of gastric poorly-differentiated neuroendocrine tumours (PD-NETs) from well-differentiated NETs (WD-NETs) and gastric adenocarcinomas (ADCs) and to suggest differential features of hepatic metastases from gastric NETs and ADCs. MATERIALS AND METHODS Our study population was comprised of 36 patients with gastric NETs (18 WD-NETs, 18 PD-NETs) and 38 patients with gastric ADCs who served as our control group. Multiple CT features were assessed to identify significant differential CT findings of PD-NETs from WD-NETs and ADCs. In addition, CT features of hepatic metastases including the metastasis-to-liver ratio were analyzed to differentiate metastatic NETs from ADCs. RESULTS The presence of metastatic lymph nodes was the sole differentiator of PD-NETs from WD-NETs (P = .001, odds ratio = 56.67), while the presence of intact overlying mucosa with mucosal tenting was the sole significant CT feature differentiating PD-NETs from ADCs (P = .047, odds ratio = 15.3) For hepatic metastases, metastases from NETs were more hyper-attenuated than those from ADCs. CONCLUSION The presence of metastatic LNs and intact overlying mucosa with mucosal tenting are useful CT discriminators of PD-NETs from WD-NETs and ADCs, respectively. In addition, a higher metastasis-to-liver ratio may help differentiate hepatic metastases of gastric NETs from those of gastric ADCs with high accuracy. KEY POINTS • Presence of metastatic LNs is a useful differentiator of PD-NETs from WD-NETs. • Intact overlying mucosa with mucosal tenting suggests PD-NETs more than gastric ADCs. • Metastatic LNs are larger in size and greater in necrotic volume in PD-NETs. • Hepatic metastases from gastric NETs are more hyper-attenuated than those from ADCs.
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Zhou XX, Pan HH, Usman A, Ji F, Jin X, Zhong WX, Chen HT. Endoscopic ultrasound-guided deep and large biopsy for diagnosis of gastric infiltrating tumors with negative malignant endoscopy biopsies. World J Gastroenterol 2015; 21:3607-3613. [PMID: 25834327 PMCID: PMC4375584 DOI: 10.3748/wjg.v21.i12.3607] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Revised: 12/03/2014] [Accepted: 01/21/2015] [Indexed: 02/06/2023] Open
Abstract
AIM: To assess the diagnostic yield and safety of a deep and large biopsy technique under the guidance of endoscopic ultrasound (EUS) for diagnosis of gastric infiltrating tumors with negative malignant endoscopy biopsies.
METHODS: From January 2009 to March 2014, 36 patients in whom gastric infiltrating tumors had been diagnosed by EUS received negative results for malignancy after endoscopic biopsies. The deep and large biopsy technique combined bite-on-bite technique with or without endoscopic mucosal resection (EMR) to obtain submucosal tissue from lesions. EUS was used to select the appropriate biopsy sites. If the lesion protruded into the cavity, EMR was performed for removal of the overlying mucosa and then bite-on-bite technique was conducted in the resected area to obtain submucosal tissue. If the lesion appeared to be flat or was difficult to lift by injection, the bite-on-bite technique was directly used.
RESULTS: Twenty-eight of the 36 patients were treated by EMR followed by bite-on-bite technique, while 8 patients only underwent bite-on-bite technique. Histological results showed 23 of the 36 lesions were poorly differentiated adenocarcinomas, 2 diffuse large B cell lymphomas, 4 mucosa-associated lymphoid tissue-type lymphomas, and 7 undiagnosed. The deep and large biopsy technique provided a definitive and conclusive diagnosis in 29 (80.6%) of the 36 patients. The 12 gastric linitis plastica and 6 lymphoma patients received chemotherapy and avoided surgery. Minor oozing of blood in 2 mucosal resection wounds was managed by argon plasma coagulation and in 5 cases after deep biopsies by epinephrine (0.001%). Neither severe hemorrhage nor perforation occurred in any patient.
CONCLUSION: The deep and large biopsy technique is superior to ordinary endoscopic biopsy for achieving an accurate diagnosis of gastric infiltrating tumors. This procedure guided by EUS is an effective and safe diagnostic method for gastric infiltrating tumors in which endoscopic biopsy results were negative for malignancy.
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MESH Headings
- Adenocarcinoma/diagnostic imaging
- Adenocarcinoma/pathology
- Adenocarcinoma/therapy
- Adult
- Aged
- Endosonography
- Female
- Gastric Mucosa/diagnostic imaging
- Gastric Mucosa/pathology
- Gastric Mucosa/surgery
- Gastroscopy
- Humans
- Image-Guided Biopsy/methods
- Lymphoma, B-Cell, Marginal Zone/diagnostic imaging
- Lymphoma, B-Cell, Marginal Zone/pathology
- Lymphoma, B-Cell, Marginal Zone/therapy
- Lymphoma, Large B-Cell, Diffuse/diagnostic imaging
- Lymphoma, Large B-Cell, Diffuse/pathology
- Lymphoma, Large B-Cell, Diffuse/therapy
- Male
- Middle Aged
- Neoplasm Invasiveness
- Patient Selection
- Predictive Value of Tests
- Prognosis
- Retrospective Studies
- Stomach Neoplasms/diagnostic imaging
- Stomach Neoplasms/pathology
- Stomach Neoplasms/therapy
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Joo I, Lee JM, Kim JH, Shin CI, Han JK, Choi BI. Prospective comparison of 3T MRI with diffusion-weighted imaging and MDCT for the preoperative TNM staging of gastric cancer. J Magn Reson Imaging 2014; 41:814-21. [PMID: 24677322 DOI: 10.1002/jmri.24586] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2013] [Accepted: 01/08/2014] [Indexed: 12/23/2022] Open
Abstract
PURPOSE To compare the diagnostic performance of 3T magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI) and multidetector-row computed tomography (MDCT) for the preoperative TNM staging of gastric cancer. MATERIALS AND METHODS This prospective study was approved by our Institutional Review Board. Forty-nine consecutive patients with histologically confirmed gastric cancers underwent MDCT and 3T MRI followed by surgery. MRI without DWI, MRI with DWI, and MDCT were reviewed to determine preoperative TNM staging. Using the pathologic stages as the reference standard, the diagnostic performance of each imaging modality was compared. RESULTS Diagnostic accuracies of MRI with DWI, MRI without DWI, and MDCT did not show a significant difference (≤T2 vs. ≥T3: 85.1%, 78.7%, and 80.9%; ≤T3 vs. T4: 76.6%, 74.5%, and 72.3%; N-negative vs. N-positive: 76.6%, 66.0%, and 63.8%; M0 vs. M1: all 95.9%, respectively) (P > 0.05). For N staging, MRI with DWI demonstrated higher sensitivity but lower specificity (86.7% and 58.8%, respectively) than MRI without DWI (50.0% and 94.1%) or MDCT (43.3% and 100%) (P < 0.05). CONCLUSION The diagnostic accuracy of 3T MRI is comparable to that of MDCT for the preoperative TNM staging of gastric cancer, and for assessing LN metastasis, the addition of DWI to conventional MRI may increase the sensitivity.
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Affiliation(s)
- Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
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