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Guillaumin JB, Nadjem A, Vigouroux L, Sibleyras A, Tanter M, Aubry JF, Berthon B. 3D multiparametric ultrasound of spontaneous murine tumors for non-invasive tumor characterization. Phys Med Biol 2025; 70:095006. [PMID: 40179940 DOI: 10.1088/1361-6560/adc8f4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Accepted: 04/03/2025] [Indexed: 04/05/2025]
Abstract
Objective.Non-invasive tumor diagnosis and characterization is limited today by the cost and availability of state of the art imaging techniques. Thanks to recent developments, ultrasound (US) imaging can now provide quantitative volumetric maps of different tissue characteristics. This study applied the first fully concurrent 3D ultrasound imaging set-up including B-mode imaging, shear wave elastography (SWE), tissue structure imaging with backscatter tensor imaging (BTI), vascular mapping with ultrasensitive Doppler (uDoppler) and ultrasound localization microscopy (ULM)in-vivo. Subsequent analysis aimed to evaluate its benefits for non-invasive tumor diagnosis.Approach.A total of 26 PyMT-MMTV transgenic mice and 6 control mice were imaged weekly during tumor growth. First-order statistics and radiomic features were extracted from the quantitative maps obtained, and used to build predictive models differentiating healthy from cancerous mammary pads. Imaging features were also compared to histology obtained the last week of imaging.Main results.High quality co-registered quantitative maps were obtained, for which SWE speed, BTI tissue organization, ULM blood vessel count and uDoppler blood vessel density were correlated with histopathology. Significant changes in uDoppler sensitivity and BTI tissue structure were measured during tumor evolution. Predictive models inferring the cancerous state from the multiparametric imaging reached 99% accuracy, and focused mainly on radiomics measures of the BTI maps.Significance.This work indicates the relevance of a multiparametric characterization of lesions, and highlights the strong predictive power of BTI-derived parameters for differentiating tumors from healthy tissue, both before and after the tumor can be detected by palpation.
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Affiliation(s)
- Jean-Baptiste Guillaumin
- Physics for Medicine Paris Institute, ESPCI Paris, PSL Research University, Inserm U1273, CNRS UMR 8063, Paris, France
| | - Aymeric Nadjem
- Physics for Medicine Paris Institute, ESPCI Paris, PSL Research University, Inserm U1273, CNRS UMR 8063, Paris, France
| | - Léa Vigouroux
- Physics for Medicine Paris Institute, ESPCI Paris, PSL Research University, Inserm U1273, CNRS UMR 8063, Paris, France
| | - Ana Sibleyras
- Physics for Medicine Paris Institute, ESPCI Paris, PSL Research University, Inserm U1273, CNRS UMR 8063, Paris, France
| | - Mickaël Tanter
- Physics for Medicine Paris Institute, ESPCI Paris, PSL Research University, Inserm U1273, CNRS UMR 8063, Paris, France
| | - Jean-François Aubry
- Physics for Medicine Paris Institute, ESPCI Paris, PSL Research University, Inserm U1273, CNRS UMR 8063, Paris, France
| | - Béatrice Berthon
- Physics for Medicine Paris Institute, ESPCI Paris, PSL Research University, Inserm U1273, CNRS UMR 8063, Paris, France
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Khan S, Mukhopadhyay S, Ansari MS, Patidar RK, Das S, Vasudevan S. Portable Nd:YAG Laser-Enhanced Photoacoustic Spectral Sensing for Breast Tissues: Toward Oncological Theranostics. JOURNAL OF BIOPHOTONICS 2025; 18:e202400430. [PMID: 39891464 DOI: 10.1002/jbio.202400430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Revised: 01/19/2025] [Accepted: 01/19/2025] [Indexed: 02/03/2025]
Abstract
A solid-state laser is preferred for generating light in a photoacoustic (PA) system because of its high energy and coherence. However, conventional Nd:YAG lasers are bulky, complex, and expensive. This article introduces a portable alternative: a custom-built Nd:YAG laser with an in-house power supply that delivers 0-30 A current pulses with a 1500 μs pulse width, providing efficient thermal management. A pockels cell driver generates 10 ns pulses with 3.84 mJ/cm 2 laser energy density. Implemented for noninvasive breast cancer diagnosis, The peak frequency obtained from three different samples was 0.23 ± 0.1, 0.26 ± 0.13, and 1.80 ± 0.14 MHz, respectively, for Normal, Fibrotic, and Tumor tissues. In addition to the dominant frequency peaks the spectral energy of the PASR spectra has also been investigated to characterize the breast tissue samples. The developed laser successfully differentiates between carcinoma, fibrocystic disease, and normal breast tissue based on quantitative PA spectral parameters.
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Affiliation(s)
- Suhel Khan
- Department of Electrical Engineering, Indian Institute of Technology Indore, Simrol, India
| | - Sramana Mukhopadhyay
- Department of Pathology and Lab Medicine, All India Institute of Medical Science, Bhopal, India
| | - M S Ansari
- LPSD, Raja Ramanna Centre for Advanced Technology (RRCAT), Indore, India
| | - R K Patidar
- HEL&OS, Raja Ramanna Centre for Advanced Technology (RRCAT), Indore, India
| | - Saikat Das
- Department of Radiotherapy, All India Institute of Medical Science, Bhopal, India
| | - Srivathsan Vasudevan
- Department of Electrical Engineering, Indian Institute of Technology Indore, Simrol, India
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Smith T, Chau M, Sims J, Arruzza E. 23Na-MRI for Breast Cancer Diagnosis and Treatment Monitoring: A Scoping Review. Bioengineering (Basel) 2025; 12:158. [PMID: 40001678 PMCID: PMC11851933 DOI: 10.3390/bioengineering12020158] [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: 12/13/2024] [Revised: 01/28/2025] [Accepted: 02/02/2025] [Indexed: 02/27/2025] Open
Abstract
(1) Background: Variations in intracellular and extracellular sodium levels have been hypothesized to serve as biomarkers for tumour characterization and therapeutic response. While previous research has explored the feasibility of 23Na-MRI, a comprehensive review of its clinical utility in breast cancer is lacking. This scoping review aims to synthesize existing literature on the potential role of 23Na-MRI in breast cancer diagnosis and treatment monitoring. (2) Methods: This review included English-language studies reporting on quantitative applications of 23Na-MRI in breast cancer. Systematic searches were conducted across PubMed, Emcare, Embase, Scopus, Google Scholar, Cochrane Library, and Medline. (3) Results: Seven primary studies met the inclusion criteria, highlighting the ability of 23Na-MRI to differentiate between malignant and benign breast lesions based on elevated total sodium concentration (TSC) in tumour tissues. 23Na-MRI also showed potential in early prediction of treatment response, with significant reductions in TSC observed in responders. However, the studies varied widely in their protocols, use of phantoms, field strengths, and contrast agent application, limiting inter-study comparability. (4) Conclusion: 23Na-MRI holds promise as a complementary imaging modality for breast cancer diagnosis and treatment monitoring. However, standardization of imaging protocols and technical optimization are essential before it can be translated into clinical practice.
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Affiliation(s)
- Taylor Smith
- Allied Health & Human Performance, University of South Australia, Adelaide, SA 5000, Australia;
| | - Minh Chau
- School of Dentistry and Medical Sciences, Charles Sturt University, Wagga Wagga, NSW 2670, Australia;
| | - Jordan Sims
- Jones Radiology, Adelaide, SA 5000, Australia;
| | - Elio Arruzza
- Allied Health & Human Performance, University of South Australia, Adelaide, SA 5000, Australia;
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Dkhar W, Kadavigere R, Ravichandran S, Pradhan A, Sukumar S, Barnes Abraham N. Hormonal Influences on ADC Values in Breast Tissues: A Scoping Review of DWI in Pre- and Post-menopausal Women. F1000Res 2025; 13:857. [PMID: 39895947 PMCID: PMC11783040 DOI: 10.12688/f1000research.153999.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/22/2025] [Indexed: 02/04/2025] Open
Abstract
Background Breast cancer remains a significant global health concern, with early diagnosis and risk factor identification crucial for improving outcomes. Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) measurements have emerged as promising tools in breast cancer diagnostics. However, the influence of hormonal status on these measurements remains unclear. Objective This scoping review aims to synthesize current evidence on how hormonal changes in pre- and post-menopausal women influence ADC values of benign, malignant, and fibroglandular breast tissues. Method Following the Arksey and O'Malley framework, we conducted a comprehensive search of Scopus, Embase, and PubMed databases for relevant studies published between January 2000 and 2021. Inclusion criteria encompassed 1.5 Tesla MRI studies reporting ADC values in female subjects, considering menopausal status. Results Six studies meeting the inclusion criteria, involving 612 patients, were analyzed. Findings suggest that menopausal status may influence ADC values, with postmenopausal women generally showing lower ADC values in both normal fibroglandular tissue and breast lesions. The impact of menstrual cycle phases on ADC values was less consistent across studies. Conclusions This review highlights the potential influence of hormonal status on ADC values in breast tissues. While DWI with ADC mapping shows promise as a reliable diagnostic tool across different hormonal states, further research is needed to fully understand and account for hormonal influences on ADC measurements. Future studies should focus on longitudinal designs, standardization of DWI protocols, and integration of hormonal status information into breast cancer risk assessment models.
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Affiliation(s)
- Winniecia Dkhar
- Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Rajagopal Kadavigere
- Radiodiagnosis and Imaging, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Sneha Ravichandran
- Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Abhimanyu Pradhan
- Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Suresh Sukumar
- Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Neil Barnes Abraham
- Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
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AlBuainain RY, Bunajem FY, Abdulla HA. Assessment of Tumor Response to Neoadjuvant Chemotherapy in Breast Cancer Using MRI and 18F-FDG PET/CT. Eur J Breast Health 2025; 21:46-51. [PMID: 39744907 PMCID: PMC11706120 DOI: 10.4274/ejbh.galenos.2024.2024-8-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Accepted: 10/24/2024] [Indexed: 01/11/2025]
Abstract
Objective Neoadjuvant chemotherapy (NACT) has been the primary treatment method for patients with local advanced breast cancer. A pathological complete response (pCR) to therapy correlates with better overall disease prognosis. Magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) have been widely used to monitor the response to NACT in breast cancer. The aim of this study was to assess tumor response to NACT by MRI and PET/CT, to determine which imaging modality is more accurate in detecting tumor response post NACT in breast cancer. Materials and Methods A retrospective review of our database revealed 34 women with breast cancer that had MRI and PET/CT performed prior to and after NACT, followed by definitive surgery. For response assessment, we calculated the difference in maximum diameter of the tumor in MRI and difference in standard uptake values in PET/CT. The correspondence rate between the imaging modalities and pCR were calculated. For the prediction of pCR, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy where analyzed. Results The assessment of tumor response to NACT showed 11 cases with pCR (32%), 15 pathological partial response (44%) and eight pathological no response (24%). The correspondence rate between MRI and pathological response was 50% (17/34), compared to 65% (22/34) for PET/CT. For prediction of pCR, MRI showed higher specificity compared to PET/CT (78.2% vs. 73.9%, p = 0.024), while the accuracy of PET/CT was significantly higher (79.4% vs. 70.5%, p = 0.004). PET/CT also had a higher NPV compared to MRI (94.4% vs. 78.2%, p = 0.002). There were no differences in terms of sensitivity and PPV between MRI and PET/CT. Conclusion Compared to MRI, PET/CT was more likely to correlate with the pathological response after NACT. For the prediction of pCR, PET/CT proved to be a more accurate imaging modality to monitor response after NACT than MRI.
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Affiliation(s)
- Reem Yusuf AlBuainain
- Department of Surgery, Salmaniya Medical Complex, Government Hospitals, Manama, Bahrain
| | - Fatema Yusuf Bunajem
- Department of Radiology, Salmaniya Medical Complex, Government Hospitals, Manama, Bahrain
| | - Hussain Adnan Abdulla
- Department of Surgery, Salmaniya Medical Complex, Government Hospitals, Manama, Bahrain
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Ebrahim SMA, Almass AA, Alarbash AA, Aldulaijan FA. The Challenges of Approaching a Giant Breast Mass: A Case Report With Literature Review. Cureus 2025; 17:e77839. [PMID: 39991393 PMCID: PMC11844880 DOI: 10.7759/cureus.77839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/21/2025] [Indexed: 02/25/2025] Open
Abstract
The classical clinical approach to any breast lesion is through the triple assessment: clinical, radiological, and pathological. However, with giant breast masses, the classical assessment might have limitations in revealing the diagnosis. We report a case of a rapidly growing left breast mass in a 60-year-old woman. In a short period of time, the lesion reached a giant size of 48 cm x 43 cm with mixed constructure and skin changes. The lesion was considered malignant by triple assessment, but the core needle biopsy could not reach a single pathological diagnosis. Giant breast masses are a rare entity of breast lesions that include different benign and malignant diseases. These diseases include malignant forms of breast sarcomas, phyllodes, and leiomyosarcomas, which are aggressive diseases requiring combative management. Diagnosing a giant breast tumor is challenging and demands a high level of suspicion. The classical approach may fail, raising the need for a special approach for such lesions. The adjusted guidelines may involve early multidisciplinary team involvement, advanced imaging, precise biopsy techniques, and earlier neoadjuvant therapy planning.
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Affiliation(s)
| | - Ahmed A Almass
- General Surgery, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Khobar, SAU
| | - Abdulhamid A Alarbash
- General Surgery, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Khobar, SAU
| | - Fozan A Aldulaijan
- Breast and Endocrine Surgery, King Fahad Specialist Hospital, Dammam, SAU
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Weerarathna IN, Luharia A, Uke A, Mishra G. Challenges and Innovations in Breast Cancer Screening in India: A Review of Epidemiological Trends and Diagnostic Strategies. Int J Breast Cancer 2024; 2024:6845966. [PMID: 39639925 PMCID: PMC11620809 DOI: 10.1155/ijbc/6845966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 10/18/2024] [Accepted: 11/07/2024] [Indexed: 12/07/2024] Open
Abstract
The intricate terrain of breast cancer (BC) in India is examined in this review, which also looks at screening techniques, geographical differences, epidemiological trends, and obstacles to early diagnosis. BC has a major impact in India, especially on women. The research examines data from 2014 to 2024 and finds that, although overall cancer rates are declining, there has been a noticeable increase in BC cases. While obstacles including late-stage diagnosis and restricted access to treatment contribute to lower survival rates in India compared to Western countries, regional variations underscore the need for customized screening measures. The analysis of screening methods highlights the particular difficulties that Indian women encounter, such as the limitations of mammography in a country whose breast density is higher. The review presents cutting-edge technologies like breast exams and computer-aided detection and examines alternative techniques like ultrasonography. The importance of healthcare spending on screening uptake is highlighted by the regional inequality discussion, and mobile screening camps have emerged as a workable way to get around access and cost issues. The relevance of patient education and awareness in the Indian context is emphasized in the review's conclusion. The lack of adequate health resources and sociocultural obstacles, such as the fear of cancer, highlight the necessity of early detection campaigns and thorough education programs. With a knowledge of the difficulties and achievements in BC screening procedures, this narrative review hopes to make a significant contribution to the larger conversation about managing BC in the particular setting of India.
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Affiliation(s)
- Induni Nayodhara Weerarathna
- Department of Biomedical Sciences, School of Allied Health Sciences, Datta Meghe Institute of Higher Education and Research 442001, Wardha, Maharashtra, India
| | - Anurag Luharia
- Department of Radio Physicist and Radio Safety, Datta Meghe Institute of Higher Education and Research 442001, Wardha, Maharashtra, India
| | - Ashish Uke
- Department of Radiation Oncology, Datta Meghe Institute of Higher Education and Research 442001, Wardha, Maharashtra, India
| | - Gaurav Mishra
- Department of Radiodiagnosis, Datta Meghe Institute of Higher Education and Research 442001, Wardha, Maharashtra, India
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8
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Li H, Chen L, Liu M, Bao M, Zhang Q, Xu S. Diagnostic value of multimodal ultrasound for breast cancer and prediction of sentinel lymph node metastases. Front Cell Dev Biol 2024; 12:1431883. [PMID: 39300993 PMCID: PMC11411459 DOI: 10.3389/fcell.2024.1431883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 07/30/2024] [Indexed: 09/22/2024] Open
Abstract
Background Sentinel lymph node metastasis (SLNM) is a critical factor in the prognosis and treatment planning for breast cancer (BC), as it indicates the potential spread of cancer to other parts of the body. The accurate prediction and diagnosis of SLNM are essential for improving clinical outcomes and guiding treatment decisions. Objective This study aimed to construct a Lasso regression model by integrating multimodal ultrasound (US) techniques, including US, shear wave elastography (SWE), and contrast-enhanced ultrasound (CEUS), to improve the predictive accuracy of sentinel lymph node metastasis in breast cancer and provide more precise guidance for clinical treatment. Results A total of 253 eligible samples were screened, of which 148 were group benign and 105 were group malignant. There were statistically significant differences (p < 0.05) between group malignant patients in terms of age, palpable mass, body mass index, distance to nipple, maximum diameter, blood flow, microcalcification, 2D border, 2D morphology, and 2D uniformity and group benign. The Lasso regression model was useful in the diagnosis of benign and malignant nodules with an AUC of 0.966 and in diagnosing SLNM with an AUC of 0.832. Conclusion In this study, we successfully constructed and validated a Lasso regression model based on the multimodal ultrasound technique for predicting whether SLNM occurs in BCs, showing high diagnostic accuracy.
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Affiliation(s)
- Hui Li
- Department of Ultrasound Imaging, The First Affiliated Hospital of Wenzhou Medical University, New District of the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, China
| | - Lixia Chen
- Department of Ultrasound Imaging, The First Affiliated Hospital of Wenzhou Medical University, New District of the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, China
| | - Meikuai Liu
- Department of Ultrasound Imaging, The First Affiliated Hospital of Wenzhou Medical University, New District of the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, China
| | - Meng Bao
- Department of Ultrasound Imaging, The First Affiliated Hospital of Wenzhou Medical University, New District of the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, China
| | - Quanbo Zhang
- Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, New District of the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, China
| | - Shihao Xu
- Department of Ultrasound Imaging, The First Affiliated Hospital of Wenzhou Medical University, New District of the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, China
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Reisi Zargari N, Ebrahimi F, Akhlaghi M, Beiki D, Abdi K, Abbasi MA, Ramezanpour S, Asghari SM. Novel Gd-DTPA-peptide for targeted breast tumor magnetic resonance imaging. Biomed Pharmacother 2024; 178:117189. [PMID: 39059353 DOI: 10.1016/j.biopha.2024.117189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/14/2024] [Accepted: 07/22/2024] [Indexed: 07/28/2024] Open
Abstract
The prevalence of breast cancer underscores the imperative for early diagnosis in guiding treatment decisions. This study introduces a novel contrast agent, Gd-DTPA-VGB3, derived from the peptide VGB3 targeting vascular endothelial growth factor receptor-1 (VEGFR1) and VEGFR2, to enhance the contrast of conventional drug Magnevist in breast tumor MRI. The MRI contrast agent was synthesized on rink amide resin via Fmoc strategy, incorporating amino acids, and coupling to diethylenetriaminepentaacetic acid (DTPA). Gadolinium (Gd)-DTPA-VGB3 displayed specific binding to VEGFR1/2 in a displacement binding assay. Gd-DTPA-VGB3 exhibited minimal cytotoxicity to normal MCF-10 cells while inhibiting 4T1 mammary carcinoma cell proliferation. Compared to Magnevist, Gd-DTPA-VGB3 demonstrated a 2.8-fold increase in contrast-to-noise ratio (CNR) (355 vs. 125). Gd-DTPA-VGB3 exhibited enhanced accumulation in 4T1 tumor-bearing mice, resulting in significant signal intensity improvement. The findings highlight Gd-DTPA-VGB3's specific binding to VEGFRs, substantiating its potential as a candidate for enhancing MRI contrast in breast cancer diagnostics.
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Affiliation(s)
| | - Fatemeh Ebrahimi
- Department of Nuclear Pharmacy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Akhlaghi
- Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Davood Beiki
- Department of Nuclear Pharmacy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Khosrou Abdi
- Department of Radiopharmacy and Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Amin Abbasi
- Firoozabadi Hospital Clinical Research Development Unit (FHCRDU), Department of Internal Medicine, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Sorour Ramezanpour
- Department of Chemistry, K. N. Toosi University of Technology, Tehran, Iran
| | - S Mohsen Asghari
- Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
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Bhat SA, Kumar V, Dhanjal DS, Gandhi Y, Mishra SK, Singh S, Webster TJ, Ramamurthy PC. Biogenic nanoparticles: pioneering a new era in breast cancer therapeutics-a comprehensive review. DISCOVER NANO 2024; 19:121. [PMID: 39096427 PMCID: PMC11297894 DOI: 10.1186/s11671-024-04072-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 07/25/2024] [Indexed: 08/05/2024]
Abstract
Breast cancer, a widespread malignancy affecting women globally, often arises from mutations in estrogen/progesterone receptors. Conventional treatments like surgery, radiotherapy, and chemotherapy face limitations such as low efficacy and adverse effects. However, nanotechnology offers promise with its unique attributes like targeted delivery and controlled drug release. Yet, challenges like poor size distribution and environmental concerns exist. Biogenic nanotechnology, using natural materials or living cells, is gaining traction for its safety and efficacy in cancer treatment. Biogenic nanoparticles synthesized from plant extracts offer a sustainable and eco-friendly approach, demonstrating significant toxicity against breast cancer cells while sparing healthy ones. They surpass traditional drugs, providing benefits like biocompatibility and targeted delivery. Thus, this current review summarizes the available knowledge on breast cancer (its types, stages, histopathology, symptoms, etiology and epidemiology) with the importance of using biogenic nanomaterials as a new and improved therapy. The novelty of this work lies in its comprehensive examination of the challenges and strategies for advancing the industrial utilization of biogenic metal and metal oxide NPs. Additionally; it underscores the potential of plant-mediated synthesis of biogenic NPs as effective therapies for breast cancer, detailing their mechanisms of action, advantages, and areas for further research.
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Affiliation(s)
- Shahnawaz Ahmad Bhat
- Jamia Milia Islamia, New Delhi, 110011, India
- Central Ayurveda Research Institute, Jhansi, U.P., 284003, India
| | - Vijay Kumar
- Central Ayurveda Research Institute, Jhansi, U.P., 284003, India.
| | | | - Yashika Gandhi
- Central Ayurveda Research Institute, Jhansi, U.P., 284003, India
| | - Sujeet K Mishra
- Central Ayurveda Research Institute, Jhansi, U.P., 284003, India
| | | | - Thomas J Webster
- School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China
- Program in Materials Science, UFPI, Teresina, Brazil
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Kang D, Kim S, Han J, Kim Y, Cho J, Lee JE, Ko ES. Measuring patient-reported distress from breast magnetic resonance imaging: Development and validation of the MRI-related distress scale (MRI-DS). Cancer Med 2024; 13:e70089. [PMID: 39126264 PMCID: PMC11316135 DOI: 10.1002/cam4.70089] [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: 12/08/2023] [Revised: 07/08/2024] [Accepted: 07/28/2024] [Indexed: 08/12/2024] Open
Abstract
OBJECTIVE Although breast magnetic resonance imaging (MRI) is a valuable screening tool, breast MRI testing burden was associated with cancer worry and quality of life. We aimed to develop and validate the MRI-related distress scale (MRI-DS) to assess comprehensive distress specifically related to breast MRI. METHODS We enrolled women aged above 18 years, diagnosed breast cancer, had MRI examination at least one time, and who could speak and read Korean in phase I and enrolled women aged above 18 years, visited outpatient clinic of breast general surgery, had undergone MRI examination at least once, and could speak and read Korean in phase II. We excluded patients who had any physical or psychiatric conditions in both phases. We recruited from a tertiary university-based hospital in South Korea between April and August 2023. RESULTS All 18 items had acceptable levels of item correlation (≥0.30) in the explanatory factor analysis with a four-factor solution. The fit indices for the four-factor solution model were good. The discriminant validity of the MRI-DS had a moderate correlation with general anxiety or quality of life. In the known-group analysis, those who reported MRI as the most burden breast examination had higher total scores. CONCLUSION The validity of the MRI-DS has been confirmed as a scale for measuring the specific distress caused by breast MRI. The MRI-DS is recommended to health professional to communicate with patients with MRI. CLINICAL IMPLICATIONS It can be used to assess the distress associated with MRI screening in breast cancer patients. Physician could use MRI-DS to discuss the reasons for distress caused by breast MRI screening and to address specific sources of discomfort associated with it.
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Affiliation(s)
- Danbee Kang
- Center for Clinical Epidemiology, Samsung Medical CenterSeoulSouth Korea
- Department of Clinical Research Design and Evaluation, SAIHSTSungkyunkwan UniversitySeoulSouth Korea
| | - Sooyeon Kim
- Center for Clinical Epidemiology, Samsung Medical CenterSeoulSouth Korea
- Department of Clinical Research Design and Evaluation, SAIHSTSungkyunkwan UniversitySeoulSouth Korea
| | - Jiyoon Han
- Center for Clinical Epidemiology, Samsung Medical CenterSeoulSouth Korea
- Department of Clinical Research Design and Evaluation, SAIHSTSungkyunkwan UniversitySeoulSouth Korea
| | - Youngha Kim
- Center for Clinical Epidemiology, Samsung Medical CenterSeoulSouth Korea
| | - Juhee Cho
- Center for Clinical Epidemiology, Samsung Medical CenterSeoulSouth Korea
- Department of Clinical Research Design and Evaluation, SAIHSTSungkyunkwan UniversitySeoulSouth Korea
- Cancer Education Center, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulSouth Korea
| | - Jeong Eon Lee
- Department of Surgery, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulSouth Korea
| | - Eun Sook Ko
- Department of Radiology, Samsung Medical CenterSungkyunkwan University School of MedicineSeoulSouth Korea
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Mumtaz A, Otey N, Afridi B, Khout H. Breast cancer in pregnancy: a comprehensive review of diagnosis, management, and outcomes. TRANSLATIONAL BREAST CANCER RESEARCH : A JOURNAL FOCUSING ON TRANSLATIONAL RESEARCH IN BREAST CANCER 2024; 5:21. [PMID: 39184929 PMCID: PMC11342000 DOI: 10.21037/tbcr-24-26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 07/16/2024] [Indexed: 08/27/2024]
Affiliation(s)
- Anam Mumtaz
- Nottingham Breast Institute, Nottingham City Hospital, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Noor Otey
- Mersey and West Lancashire Teaching Hospital NHS Trust, Prescot, UK
| | - Bushra Afridi
- Royal United Hospitals Bath NHS Foundation Trust, Bath, UK
| | - Hazem Khout
- Nottingham Breast Institute, Nottingham City Hospital, Nottingham University Hospitals NHS Trust, Nottingham, UK
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13
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Costin IC, Marcu LG. Affinity of PET-MRI Tracers for Hypoxic Cells in Breast Cancer: A Systematic Review. Cells 2024; 13:1048. [PMID: 38920676 PMCID: PMC11202228 DOI: 10.3390/cells13121048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/04/2024] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
Tumour hypoxia is a known microenvironmental culprit for treatment resistance, tumour recurrence and promotion of metastatic spread. Despite the long-known existence of this factor within the tumour milieu, hypoxia is still one of the greatest challenges in cancer management. The transition from invasive and less reliable detection methods to more accurate and non-invasive ways to identify and quantify hypoxia was a long process that eventually led to the promising results showed by functional imaging techniques. Hybrid imaging, such as PET-CT, has the great advantage of combining the structural or anatomical image (offered by CT) with the functional or metabolic one (offered by PET). However, in the context of hypoxia, it is only the PET image taken after appropriate radiotracer administration that would supply hypoxia-specific information. To overcome this limitation, the development of the latest hybrid imaging systems, such as PET-MRI, enables a synergistic approach towards hypoxia imaging, with both methods having the potential to provide functional information on the tumour microenvironment. This study is designed as a systematic review of the literature on the newest developments of PET-MRI for the imaging of hypoxic cells in breast cancer. The analysis includes the affinity of various PET-MRI tracers for hypoxia in this patient group as well as the correlations between PET-specific and MRI-specific parameters, to offer a broader view on the potential for the widespread clinical implementation of this hybrid imaging technique.
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Affiliation(s)
- Ioana-Claudia Costin
- Faculty of Physics, West University of Timisoara, 300223 Timisoara, Romania;
- Bihor County Emergency Clinical Hospital, 410167 Oradea, Romania
| | - Loredana G. Marcu
- Faculty of Informatics & Science, University of Oradea, 410087 Oradea, Romania
- UniSA Allied Health & Human Performance, University of South Australia, Adelaide, SA 5001, Australia
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14
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Cruz-Ramos JA, Trapero-Corona MI, Valencia-Hernández IA, Gómez-Vargas LA, Toranzo-Delgado MT, Cano-Magaña KR, De la Mora-Jiménez E, del Carmen López-Armas G. Strain Elastography Fat-to-Lesion Index Is Associated with Mammography BI-RADS Grading, Biopsy, and Molecular Phenotype in Breast Cancer. BIOSENSORS 2024; 14:94. [PMID: 38392013 PMCID: PMC10886583 DOI: 10.3390/bios14020094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 02/24/2024]
Abstract
Breast cancer (BC) affects millions of women worldwide, causing over 500,000 deaths annually. It is the leading cause of cancer mortality in women, with 70% of deaths occurring in developing countries. Elastography, which evaluates tissue stiffness, is a promising real-time minimally invasive technique for BC diagnosis. This study assessed strain elastography (SE) and the fat-to-lesion (F/L) index for BC diagnosis. This prospective study included 216 women who underwent SE, ultrasound, mammography, and breast biopsy (108 malignant, 108 benign). Three expert radiologists performed imaging and biopsies. Mean F/L index was 3.70 ± 2.57 for benign biopsies and 18.10 ± 17.01 for malignant. We developed two predictive models: a logistic regression model with AUC 0.893, 79.63% sensitivity, 87.62% specificity, 86.9% positive predictive value (+PV), and 80.7% negative predictive value (-PV); and a neural network with AUC 0.902, 80.56% sensitivity, 88.57% specificity, 87.9% +PV, and 81.6% -PV. The optimal Youden F/L index cutoff was >5.76, with 84.26% sensitivity and specificity. The F/L index positively correlated with BI-RADS (Spearman's r = 0.073, p < 0.001) and differed among molecular subtypes (Kruskal-Wallis, p = 0.002). SE complements mammography for BC diagnosis. With adequate predictive capacity, SE is fast, minimally invasive, and useful when mammography is contraindicated.
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Affiliation(s)
- José Alfonso Cruz-Ramos
- Departamento de Clínicas Médicas, Instituto de Patología Infecciosa y Experimental, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara; Guadalajara 44340, Mexico
- Subdirección de Desarrollo Institucional, Instituto Jalisciense de Cancerología, Guadalajara 44280, Mexico
| | - Mijaíl Irak Trapero-Corona
- Subdirección de Desarrollo Institucional, Instituto Jalisciense de Cancerología, Guadalajara 44280, Mexico
| | - Ingrid Aurora Valencia-Hernández
- Departamento de Ciencias Computacionales, Instituto Nacional de Astrofísica Óptica y Electrónica, San Andrés Cholula 72840, Mexico
| | - Luz Amparo Gómez-Vargas
- Subdirección de Desarrollo Institucional, Instituto Jalisciense de Cancerología, Guadalajara 44280, Mexico
| | | | - Karla Raquel Cano-Magaña
- Subdirección de Desarrollo Institucional, Instituto Jalisciense de Cancerología, Guadalajara 44280, Mexico
| | | | - Gabriela del Carmen López-Armas
- Laboratorio de Biomédica-Mecatrónica, Subdirección de Investigación y Extensión, Centro de Enseñanza Técnica Industrial Plantel Colomos, Guadalajara 44638, Mexico
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15
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Ghuman N, Ambinder EB, Oluyemi ET, Sutton E, Myers KS. Clinical and Imaging Features of MRI Screen-Detected Breast Cancer. Clin Breast Cancer 2024; 24:45-52. [PMID: 37821332 PMCID: PMC11328159 DOI: 10.1016/j.clbc.2023.09.012] [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: 07/13/2023] [Revised: 08/28/2023] [Accepted: 09/19/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Supplemental screening with breast MRI is recommended annually for patients who have greater than 20% lifetime risk for breast cancer. While there is robust data regarding features of mammographic screen-detected breast cancers, there is limited data regarding MRI-screen-detected cancers. PATIENTS AND METHODS Screening breast MRIs performed between August 1, 2016 and July 30, 2022 identified 50 screen-detected breast cancers in 47 patients. Clinical and imaging features of all eligible cancers were recorded. RESULTS During the study period, 50 MRI-screen detected cancers were identified in 47 patients. The majority of MRI-screen detected cancers (32/50, 64%) were invasive. Pathology revealed ductal carcinoma in situ (DCIS) in 36% (18/50), invasive ductal carcinoma (IDC) in 52% (26/50), invasive lobular carcinoma in 10% (5/50), and angiosarcoma in 2% (1/50). The majority of patients (43/47, 91%) were stage 0 or 1 at diagnosis and there were no breast cancer-related deaths during the follow-up periods. Cancers presented as masses in 50% (25/50), nonmass enhancement in 48% (25/50), and a focus in 2% (1/50). DCIS was more likely to present as nonmass enhancement (94.4%, 17/18), whereas invasive cancers were more likely to present as masses (75%, 24/32) (P < .001). All cancers that were stage 2 at diagnosis were detected either on a baseline exam or more than 4 years since the prior MRI exam. CONCLUSION MRI screen-detected breast cancers were most often invasive cancers. Cancers detected by MRI screening had an excellent prognosis in our study population. Invasive cancers most commonly presented as a mass.
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Affiliation(s)
- Naveen Ghuman
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
| | - Emily B Ambinder
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Eniola T Oluyemi
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Kelly S Myers
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD
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16
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Santos MM, Baerga CG, Lamsal S, Engel C, Ozdemir S. Breast cancer in a Hispanic patient with Werner syndrome. J Radiol Case Rep 2023; 17:21-31. [PMID: 38343885 PMCID: PMC10852053 DOI: 10.3941/jrcr.v17i8.5168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024] Open
Abstract
Werner Syndrome is a rare autosomal recessive condition characterized by premature aging and increased risk of malignancies due to gene mutations associated with DNA stability. We present the first case report of a 29-year-old Hispanic female with WS diagnosed with breast cancer. Diagnostic mammography and ultrasound, breast MRI and PET examinations revealed two lesions biopsy proven as invasive ductal carcinoma. The patient underwent neoadjuvant chemotherapy and radical mastectomy. Recurrence occurred 10 months postoperatively with molecular analysis demonstrating TP53 mutations. The multifactorial assessment of breast cancer in this case study is crucial towards optimizing screening, diagnosis and management of this disease in patients with WS.
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Affiliation(s)
| | | | - Sanjay Lamsal
- Department of Diagnostic Radiology, University of Florida Jacksonville, FL 32209, USA
| | - Corey Engel
- Department of Diagnostic Radiology, University of Florida Jacksonville, FL 32209, USA
| | - Savas Ozdemir
- Department of Diagnostic Radiology, University of Florida Jacksonville, FL 32209, USA
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17
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Champendal M, Marmy L, Malamateniou C, Sá Dos Reis C. Artificial intelligence to support person-centred care in breast imaging - A scoping review. J Med Imaging Radiat Sci 2023; 54:511-544. [PMID: 37183076 DOI: 10.1016/j.jmir.2023.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/05/2023] [Accepted: 04/11/2023] [Indexed: 05/16/2023]
Abstract
AIM To overview Artificial Intelligence (AI) developments and applications in breast imaging (BI) focused on providing person-centred care in diagnosis and treatment for breast pathologies. METHODS The scoping review was conducted in accordance with the Joanna Briggs Institute methodology. The search was conducted on MEDLINE, Embase, CINAHL, Web of science, IEEE explore and arxiv during July 2022 and included only studies published after 2016, in French and English. Combination of keywords and Medical Subject Headings terms (MeSH) related to breast imaging and AI were used. No keywords or MeSH terms related to patients, or the person-centred care (PCC) concept were included. Three independent reviewers screened all abstracts and titles, and all eligible full-text publications during a second stage. RESULTS 3417 results were identified by the search and 106 studies were included for meeting all criteria. Six themes relating to the AI-enabled PCC in BI were identified: individualised risk prediction/growth and prediction/false negative reduction (44.3%), treatment assessment (32.1%), tumour type prediction (11.3%), unnecessary biopsies reduction (5.7%), patients' preferences (2.8%) and other issues (3.8%). The main BI modalities explored in the included studies were magnetic resonance imaging (MRI) (31.1%), mammography (27.4%) and ultrasound (23.6%). The studies were predominantly retrospective, and some variations (age range, data source, race, medical imaging) were present in the datasets used. CONCLUSIONS The AI tools for person-centred care are mainly designed for risk and cancer prediction and disease management to identify the most suitable treatment. However, further studies are needed for image acquisition optimisation for different patient groups, improvement and customisation of patient experience and for communicating to patients the options and pathways of disease management.
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Affiliation(s)
- Mélanie Champendal
- School of Health Sciences HESAV, HES-SO; University of Applied Sciences Western Switzerland: Lausanne, CH.
| | - Laurent Marmy
- School of Health Sciences HESAV, HES-SO; University of Applied Sciences Western Switzerland: Lausanne, CH.
| | - Christina Malamateniou
- School of Health Sciences HESAV, HES-SO; University of Applied Sciences Western Switzerland: Lausanne, CH; Department of Radiography, Division of Midwifery and Radiography, School of Health Sciences, University of London, London, UK.
| | - Cláudia Sá Dos Reis
- School of Health Sciences HESAV, HES-SO; University of Applied Sciences Western Switzerland: Lausanne, CH.
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18
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Khan MS, Gowda BHJ, Nasir N, Wahab S, Pichika MR, Sahebkar A, Kesharwani P. Advancements in dextran-based nanocarriers for treatment and imaging of breast cancer. Int J Pharm 2023; 643:123276. [PMID: 37516217 DOI: 10.1016/j.ijpharm.2023.123276] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/12/2023] [Accepted: 07/26/2023] [Indexed: 07/31/2023]
Abstract
Breast cancer is the most prevalent type of cancer worldwide,particularly among women, with substantial side effects after therapy. Despite the availability of numerous therapeutic approaches, particularly chemotherapy, the survival rates for breast cancer have declined over time. The therapies currently utilized for breast cancer treatment do not specifically target cancerous cells, resulting in significant adverse effects and potential harm to healthy cells alongside the cancer cells. As a result, nanoparticle-based drug delivery systems have emerged. Among various types of nanoparticles, natural polysaccharide-based nanoparticles have gained significant attention due to their ability to precisely control the drug release and achieve targeted drug delivery. Moreover, polysaccharides are biocompatible, biodegradable, easily modifiable, and renewable, which makes them a unique material for nanoformulation. In recent years, dextran and its derivatives have gained much interest in the field of breast cancer therapy. Dextran is a hydrophilic polysaccharide composed of a main chain formed by α-1,6 linked glucopyranoside residues and a side chain composed of residues linked in α-1,2/3/4 positions. Different dextran-antitumor medication conjugates enhancethe efficacy of anticancer agents. With this context, the present review provides brief insights into dextran and its modification. Further, it meticulously discusses the role of dextran-based nanoparticles in breast cancer therapy and imaging, followed by snippets on their toxicity. Lastly, it presents clinical trials and future perspectives of dextran-based nanoparticles in breast cancer treatment.
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Affiliation(s)
- Mohammad Sameer Khan
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India
| | - B H Jaswanth Gowda
- Department of Pharmaceutics, Yenepoya Pharmacy College & Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, Karnataka, India
| | - Nazim Nasir
- Department of Basic Medical Sciences, College of Applied Medical Sciences, Khamis Mushait, Saudi Arabia
| | - Shadma Wahab
- Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha 61421, Saudi Arabia
| | - Mallikarjuna Rao Pichika
- Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Prashant Kesharwani
- Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India; Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.
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19
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Swaminathan H, Saravanamurali K, Yadav SA. Extensive review on breast cancer its etiology, progression, prognostic markers, and treatment. Med Oncol 2023; 40:238. [PMID: 37442848 DOI: 10.1007/s12032-023-02111-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023]
Abstract
As the most frequent and vulnerable malignancy among women, breast cancer universally manifests a formidable healthcare challenge. From a biological and molecular perspective, it is a heterogenous disease and is stratified based on the etiological factors driving breast carcinogenesis. Notably, genetic predispositions and epigenetic impacts often constitute the heterogeneity of this disease. Typically, breast cancer is classified intrinsically into histological subtypes in clinical landscapes. These stratifications empower physicians to tailor precise treatments among the spectrum of breast cancer therapeutics. In this pursuit, numerous prognostic algorithms are extensively characterized, drastically changing how breast cancer is portrayed. Therefore, it is a basic requisite to comprehend the multidisciplinary rationales of breast cancer to assist the evolution of novel therapeutic strategies. This review aims at highlighting the molecular and genetic grounds of cancer additionally with therapeutic and phytotherapeutic context. Substantially, it also renders researchers with an insight into the breast cancer cell lines as a model paradigm for breast cancer research interventions.
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Affiliation(s)
- Harshini Swaminathan
- Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore, 641021, Tamil Nadu, India
| | - K Saravanamurali
- Virus Research and Diagnostics Laboratory, Department of Microbiology, Coimbatore Medical College, Coimbatore, India
| | - Sangilimuthu Alagar Yadav
- Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore, 641021, Tamil Nadu, India.
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20
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Judd D, Stucki B, Oldham J, Johnston D. Inflammatory Skin Change From a Small 0.9 cm Primary Breast Cancer Not Seen on Initial Imaging: A Case Report. Cureus 2023; 15:e39491. [PMID: 37362505 PMCID: PMC10290542 DOI: 10.7759/cureus.39491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Most inflammatory breast cancers are caused by invasive ductal cell carcinomas that arise from mammary epithelial cells lining the breast ducts. Typically, in these cancers, radiological signs are conspicuous, and a diagnosis is made after standard mammographic imaging or ultrasound. We report the case of a 54-year-old female who presented to a mammography clinic with right-sided breast pain and swelling. Upon physical examination, there was no palpable mass. Ultrasound and mammogram findings included mild skin thickening, normal-sized but irregularly shaped axillary lymph nodes, and no breast mass. Due to the presence of inflammatory changes (skin thickening) and abnormal lymph nodes but no obvious mass, an MRI was done to find the primary mass after a core needle biopsy of one lymph node showed metastatic ductal disease. In this patient, a 0.9 cm mass was found at the right 8:00 position on MRI. A second-look ultrasound was then performed and the mass was identified, followed by an ultrasound-guided core biopsy. The biopsy showed an invasive ductal cell carcinoma. In most cases, inflammatory breast cancer is associated with larger tumor sizes. However, a subset of patients with inflammatory breast cancer may present with a small primary breast tumor that causes inflammatory changes. Here, we present a rare case of inflammatory breast cancer associated with a small breast mass measuring less than 1 cm in size.
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Affiliation(s)
- Dallin Judd
- Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, USA
| | - Brenton Stucki
- Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, USA
| | - Jake Oldham
- Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, USA
| | - David Johnston
- Radiology Partners, Rose Imaging Specialists, Fort Worth, USA
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21
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Razali NF, Isa IS, Sulaiman SN, Abdul Karim NK, Osman MK, Che Soh ZH. Enhancement Technique Based on the Breast Density Level for Mammogram for Computer-Aided Diagnosis. Bioengineering (Basel) 2023; 10:153. [PMID: 36829647 PMCID: PMC9952042 DOI: 10.3390/bioengineering10020153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/04/2023] [Accepted: 01/16/2023] [Indexed: 01/26/2023] Open
Abstract
Mass detection in mammograms has a limited approach to the presence of a mass in overlapping denser fibroglandular breast regions. In addition, various breast density levels could decrease the learning system's ability to extract sufficient feature descriptors and may result in lower accuracy performance. Therefore, this study is proposing a textural-based image enhancement technique named Spatial-based Breast Density Enhancement for Mass Detection (SbBDEM) to boost textural features of the overlapped mass region based on the breast density level. This approach determines the optimal exposure threshold of the images' lower contrast limit and optimizes the parameters by selecting the best intensity factor guided by the best Blind/Reference-less Image Spatial Quality Evaluator (BRISQUE) scores separately for both dense and non-dense breast classes prior to training. Meanwhile, a modified You Only Look Once v3 (YOLOv3) architecture is employed for mass detection by specifically assigning an extra number of higher-valued anchor boxes to the shallower detection head using the enhanced image. The experimental results show that the use of SbBDEM prior to training mass detection promotes superior performance with an increase in mean Average Precision (mAP) of 17.24% improvement over the non-enhanced trained image for mass detection, mass segmentation of 94.41% accuracy, and 96% accuracy for benign and malignant mass classification. Enhancing the mammogram images based on breast density is proven to increase the overall system's performance and can aid in an improved clinical diagnosis process.
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Affiliation(s)
- Noor Fadzilah Razali
- Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Bukit Mertajam 13500, Pulau Pinang, Malaysia
| | - Iza Sazanita Isa
- Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Bukit Mertajam 13500, Pulau Pinang, Malaysia
| | - Siti Noraini Sulaiman
- Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Bukit Mertajam 13500, Pulau Pinang, Malaysia
- Integrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA Cawangan Selangor, Puncak Alam Campus, Puncak Alam 42300, Selangor, Malaysia
| | - Noor Khairiah Abdul Karim
- Department of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia Bertam, Kepala Batas 13200, Pulau Pinang, Malaysia
- Breast Cancer Translational Research Programme (BCTRP), Advanced Medical and Dental Institute, Universiti Sains Malaysia Bertam, Kepala Batas 13200, Pulau Pinang, Malaysia
| | - Muhammad Khusairi Osman
- Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Bukit Mertajam 13500, Pulau Pinang, Malaysia
| | - Zainal Hisham Che Soh
- Centre for Electrical Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Campus, Bukit Mertajam 13500, Pulau Pinang, Malaysia
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22
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Hermansyah D, Firsty NN. The Role of Breast Imaging in Pre- and Post-Definitive Treatment of Breast Cancer. Breast Cancer 2022. [DOI: 10.36255/exon-publications-breast-cancer-breast-imaging] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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23
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Zhang R, Xu M, Zhou C, Ding X, Lu H, Ge M, Du L, Bu Y. The value of noncontrast MRI in evaluating breast imaging reporting and data system category 0 lesions on digital mammograms. Quant Imaging Med Surg 2022; 12:4069-4080. [PMID: 35919041 PMCID: PMC9338372 DOI: 10.21037/qims-21-968] [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: 10/01/2021] [Accepted: 05/23/2022] [Indexed: 11/06/2022]
Abstract
Background Benign and malignant diagnosis of nonpalpable breast imaging reporting and data system (BI-RADS) category 0 lesions on digital mammograms (DMs) is very important. We compared the diagnostic performance of non-contrast-enhanced magnetic resonance imaging (MRI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for them. We sought to evaluate BI-RADS category 0 lesions using 3 MRI sequences: short tau inversion recovery (STIR), STIR combined with high b value diffusion-weighted imaging (STIR-DWI), and DCE-MRI. Methods We retrospectively reviewed 114 breast DMs rated as nonpalpable BI-RADS category 0 lesions in 112 patients from January 2014 to June 2019. STIR, high b value DWI, and DCE-MRI were performed for all patients. Two breast radiologists read individual sequences (STIR, DWI, DCE-MRI) and pairs of sequences (STIR-DWI) to detect BI-RADS category 0 lesions in DMs. Receiver operating characteristic (ROC) curve analysis was used to assess diagnostic performance according to a best valuable comparator that combined MRI imaging, clinical, and pathological data. Results Among of 114 lesions (the median age of patients was 47 years; the median size of the lesion was 19 mm), 32 (48.5%) malignant lesions were missed by STIR, 9 (13.6%) malignant lesions were missed by STIR-DWI, and 3 (4.5%) malignant lesions were missed by DCE-MRI. The principal finding of our study was that STIR-DWI and DCE-MRI showed higher diagnostic accuracy than did STIR (P<0.01). STIR-DWI showed higher accuracy [area under the curve (AUC) =0.858; sensitivity =87.8%] for BI-RADS category 0 lesions in DMs than did STIR (AUC =0.754; sensitivity =51.5%), while the performance was comparable to that of DCE-MRI (AUC =0.884; sensitivity =95.5%). Conclusions Using pairs of sequences (STIR-DWI) is a non-contrast-enhanced MRI technique and had an equal diagnostic performance in distinguishing benign from malignant lesions among nonpalpable BI-RADS category 0 lesions to that of DCE-MRI. As a result, STIR-DWI as having the potential to improve the safety and efficacy in of breast cancer screening, especially in nonpalpable BI-RADS category 0 lesions at in DMs.
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Affiliation(s)
- Ruixin Zhang
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.,The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Maosheng Xu
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.,The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Changyu Zhou
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.,The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Xuewei Ding
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.,The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Huan Lu
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.,The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Min Ge
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.,The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Liang Du
- Department of Radiology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University (Hangzhou Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Yangyang Bu
- Department of Radiology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.,The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
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De la Cruz Ku G, Karamchandani M, Chambergo-Michilot D, Narvaez-Rojas AR, Jonczyk M, Príncipe-Meneses FS, Posawatz D, Nardello S, Chatterjee A. Does Breast-Conserving Surgery with Radiotherapy have a Better Survival than Mastectomy? A Meta-Analysis of More than 1,500,000 Patients. Ann Surg Oncol 2022; 29:6163-6188. [PMID: 35876923 DOI: 10.1245/s10434-022-12133-8] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/25/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND There have been conflicting studies reporting on survival advantages between breast-conserving surgery with radiotherapy (BCS) in comparison with mastectomy. Our aim was to compare the efficacy of BCS and mastectomy in terms of overall survival (OS) comparing all past published studies. METHODS We performed a comprehensive review of literature through October 2021 in PubMed, Scopus, and EMBASE. The studies included were randomized controlled trials (RCTs) and cohorts that compare BCS versus mastectomy. We excluded studies that included male sex, stage 0, distant metastasis at diagnosis, bilateral synchronous cancer, neoadjuvant radiation/chemotherapy, and articles with incomplete data. We performed a meta-analysis following the random-effect model with the inverse variance method. RESULTS From 18,997 publications, a total of 30 studies were included in the final analysis: 6 studies were randomized trials, and 24 were retrospective cohorts. A total of 1,802,128 patients with a follow-up ranging from 4 to 20 years were included, and 1,075,563 and 744,565 underwent BCS and mastectomy, respectively. Among the population, BCS is associated with improved OS compared with mastectomy [relative risk (RR) 0.64, 95% confidence interval (CI) 0.55-0.74]. This effect was similar when analysis was performed in cohorts and multi-institutional databases (RR 0.57, 95% CI 0.49-0.67). Furthermore, the benefit of BCS was stronger in patients who had less than 10 years of follow-up (RR 0.54, 95% CI 0.46-0.64). CONCLUSIONS Patients who underwent BCS had better OS compared with mastectomy. Such results depicting survival advantage, especially using such a large sample of patients, may need to be included in the shared surgical decision making when discussing breast cancer treatment with patients.
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Affiliation(s)
- Gabriel De la Cruz Ku
- Department of General Surgery, University of Massachusetts, Worcester, MA, USA.,Universidad Científica del Sur, Lima, Peru
| | | | | | | | | | | | - David Posawatz
- Department of General Surgery, Tufts Medical Center, Boston, MA, USA
| | | | - Abhishek Chatterjee
- Division of Surgical Oncology, Tufts Medical Center, Boston, MA, USA. .,Division of Plastic and Reconstructive Surgery, Division of Surgical Oncology, Tufts Medical Center, Boston, MA, USA.
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Grocki P, Woollam M, Wang L, Liu S, Kalra M, Siegel AP, Li BY, Yokota H, Agarwal M. Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time. Molecules 2022; 27:4277. [PMID: 35807522 PMCID: PMC9268606 DOI: 10.3390/molecules27134277] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/17/2022] [Accepted: 06/20/2022] [Indexed: 02/04/2023] Open
Abstract
Volatile organic compounds (VOCs) in urine are potential biomarkers of breast cancer. Previously, our group has investigated breast cancer through analysis of VOCs in mouse urine and identified a panel of VOCs with the ability to monitor tumor progression. However, an unanswered question is whether VOCs can be exploited similarly to monitor the efficacy of antitumor treatments over time. Herein, subsets of tumor-bearing mice were treated with pitavastatin at high (8 mg/kg) and low (4 mg/kg) concentrations, and urine was analyzed through solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Previous investigations using X-ray and micro-CT analysis indicated pitavastatin administered at 8 mg/kg had a protective effect against mammary tumors, whereas 4 mg/kg treatments did not inhibit tumor-induced damage. VOCs from mice treated with pitavastatin were compared to the previously analyzed healthy controls and tumor-bearing mice using chemometric analyses, which revealed that mice treated with pitavastatin at high concentrations were significantly different than tumor-bearing untreated mice in the direction of healthy controls. Mice treated with low concentrations demonstrated significant differences relative to healthy controls and were reflective of tumor-bearing untreated mice. These results show that urinary VOCs can accurately and noninvasively predict the efficacy of pitavastatin treatments over time.
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Affiliation(s)
- Paul Grocki
- Department of Chemistry and Chemical Biology, Indiana University—Purdue University, Indianapolis, IN 46202, USA; (P.G.); (M.W.); (A.P.S.)
- Integrated Nanosystems Development Institute, Indiana University—Purdue University, Indianapolis, IN 46202, USA;
| | - Mark Woollam
- Department of Chemistry and Chemical Biology, Indiana University—Purdue University, Indianapolis, IN 46202, USA; (P.G.); (M.W.); (A.P.S.)
- Integrated Nanosystems Development Institute, Indiana University—Purdue University, Indianapolis, IN 46202, USA;
| | - Luqi Wang
- Department of Pharmacology, School of Pharmacy, Harbin Medical University, Harbin 150081, China; (L.W.); (S.L.); (B.-Y.L.)
- Department of Biomedical Engineering, Indiana University—Purdue University, Indianapolis, IN 46202, USA
| | - Shengzhi Liu
- Department of Pharmacology, School of Pharmacy, Harbin Medical University, Harbin 150081, China; (L.W.); (S.L.); (B.-Y.L.)
- Department of Biomedical Engineering, Indiana University—Purdue University, Indianapolis, IN 46202, USA
| | - Maitri Kalra
- Hematology and Oncology, Ball Memorial Hospital, Indiana University Health, Muncie, IN 47303, USA;
| | - Amanda P. Siegel
- Department of Chemistry and Chemical Biology, Indiana University—Purdue University, Indianapolis, IN 46202, USA; (P.G.); (M.W.); (A.P.S.)
- Integrated Nanosystems Development Institute, Indiana University—Purdue University, Indianapolis, IN 46202, USA;
| | - Bai-Yan Li
- Department of Pharmacology, School of Pharmacy, Harbin Medical University, Harbin 150081, China; (L.W.); (S.L.); (B.-Y.L.)
| | - Hiroki Yokota
- Integrated Nanosystems Development Institute, Indiana University—Purdue University, Indianapolis, IN 46202, USA;
- Department of Biomedical Engineering, Indiana University—Purdue University, Indianapolis, IN 46202, USA
- Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Biomechanics and Biomaterials Research Center, Indiana University—Purdue University, Indianapolis, IN 46202, USA
| | - Mangilal Agarwal
- Department of Chemistry and Chemical Biology, Indiana University—Purdue University, Indianapolis, IN 46202, USA; (P.G.); (M.W.); (A.P.S.)
- Integrated Nanosystems Development Institute, Indiana University—Purdue University, Indianapolis, IN 46202, USA;
- Department of Mechanical & Energy Engineering, Indiana University—Purdue University, Indianapolis, IN 46202, USA
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26
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Belhaj Soulami K, Kaabouch N, Nabil Saidi M. Breast cancer: Classification of suspicious regions in digital mammograms based on capsule network. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103696] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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L. Faizo N, M. Raafat B, Alamri S, Alghamdi AJ, Osman H, Ahmed RM, Almahwasi A, S. Alamri A, Ansari M. Distinction of Breast Masses from Benign to Malignant using Magnetic Resonance Imaging and Dynamic Contrast-Enhanced in Tertiary Care Hospitals of Taif, Saudi Arabia: A Retrospective Study. BIOMEDICAL AND PHARMACOLOGY JOURNAL 2022; 15:1005-1011. [DOI: 10.13005/bpj/2436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
Background: Breast cancer is the most frequent cancer among women throughout the world. A range of noninvasive techniques have been employed for early prevention. In health-care practice, however, quality and sensitivity remained critical. Objective: The aim of this study is to see how well Breast Magnetic Resonance Imaging (MRIs) and Dynamic Contrast-Enhanced MRI (DCE-MRI) techniques can detect breast cancer and distinguish between malignant and benign lesions. Methods: A retrospective study was conducted at the Taif Hospitals, Saudi Arabia. The Picture Archiving and Communication System was used to acquire medical records and data from 50 individuals with probable breast cancer, and breast MRI pictures were analyzed. Breast Imaging Reporting and Data System (BI-RADS) radiologist reports and DCE-MRI kinetic curves were evaluated. Excel was also used to test the sensitivity and specificity of breast MRI. Results: According to the BI-RADS results, biopsies, and breast MRI data, 52 percent of 50 patients were categorized as benign, 24 percent as malignant, and 24 percent had no abnormalities. Biopsy revealed that 61.5 percent of the malignant lesions were benign, whereas 38.5 percent were appropriately identified as cancerous. The majority of malignant tumors were discovered in patients over the age of 50. The washout curve correctly identified 60% of the malignant lesions and 40% of the benign lesions. Our data demonstrated the usefulness of MRI in detecting breast cancers by analyzing BI-RADS and utilizing DCE-MRI. False-positive, on the other hand, can lead to unnecessary biopsies. Conclusion: Breast cancer is more common among women of their fifties and beyond. Biopsies, breast MRIs, and kinetic curve analysis can all be utilized to differentiate between benign and malignant breast masses with high sensitivity and specificity.
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Affiliation(s)
- Nahla L. Faizo
- 1Department of Radiological Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia
| | - Bassem M. Raafat
- 1Department of Radiological Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia
| | - Sultan Alamri
- 1Department of Radiological Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia
| | - Ahmad Joman Alghamdi
- 1Department of Radiological Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia
| | - Hamid Osman
- 1Department of Radiological Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia
| | - Rania Mohammed Ahmed
- 1Department of Radiological Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia
| | - Ashraf Almahwasi
- 2Medical Physics Unit, Security Forces Hospital, Medical Services, Ministry of Interior, Makkah, The Kingdom of Saudi Arabia
| | - Abdulhakeem S. Alamri
- 3Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia
| | - Mukhtar Ansari
- 5Department of Clinical Pharmacy, College of Pharmacy, University of Hail, Hail, Saudi Arabia
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Zhang H, Zhang XY, Wang Y. Value of magnetic resonance diffusion combined with perfusion imaging techniques for diagnosing potentially malignant breast lesions. World J Clin Cases 2022; 10:6021-6031. [PMID: 35949832 PMCID: PMC9254209 DOI: 10.12998/wjcc.v10.i18.6021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/23/2022] [Accepted: 04/21/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Lesions of breast imaging reporting and data system (BI-RADS) 4 at mammography vary from benign to malignant, leading to difficulties for clinicians to distinguish between them. The specificity of magnetic resonance imaging (MRI) in detecting breast is relatively low, leading to many false-positive results and high rates of re-examination or biopsy. Diffusion-weighted imaging (DWI), combined with perfusion-weighted imaging (PWI), might help to distinguish between benign and malignant BI-RADS 4 breast lesions at mammography.
AIM To evaluate the value of DWI and PWI in diagnosing BI-RADS 4 breast lesions.
METHODS This is a retrospective study which included patients who underwent breast MRI between May 2017 and May 2019 in the hospital. The lesions were divided into benign and malignant groups according to the classification of histopathological results. The diagnostic efficacy of DWI and PWI were analyzed respectively and combinedly. The 95 lesions were divided according to histopathological diagnosis, with 46 benign and 49 malignant. The main statistical methods used included the Student t-test, the Mann-Whitney U-test, the chi-square test or Fisher’s exact test.
RESULTS The mean apparent diffusion coefficient (ADC) values in the parenchyma and lesion area of the normal mammary gland were 1.82 ± 0.22 × 10-3 mm2/s and 1.24 ± 0.16 × 10-3 mm2/s, respectively (P = 0.021). The mean ADC value of the malignant group was 1.09 ± 0.23 × 10-3 mm2/s, which was lower than that of the benign group (1.42 ± 0.68 × 10-3 mm2/s) (P = 0.016). The volume transfer constant (Ktrans) and rate constant (Kep) values were higher in malignant lesions than in benign ones (all P < 0.001), but there were no significant statistical differences regarding volume fraction (Ve) (P = 0.866). The sensitivity and specificity of PWI combined with DWI (91.7% and 89.3%, respectively) were higher than that of PWI or DWI alone. The accuracy of PWI combined with DWI in predicting pathological results was significantly higher than that predicted by PWI or DWI alone.
CONCLUSION DWI, combined with PWI, might possibly distinguish between benign and malignant BI-RADS 4 breast lesions at mammography.
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Affiliation(s)
- Hui Zhang
- Department of Radiology, Hebei General Hospital, Shijiazhuang 050000, Hebei Province, China
| | - Xin-Yi Zhang
- Department of Radiology, the First Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Yong Wang
- Department of Radiology, the First Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
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29
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Dakhil HA, Easa AM, Hussein AY, Bustan RA, Najm HS. Diagnostic role of dynamic contrast-enhanced magnetic resonance imaging in differentiating breast lesions. JOURNAL OF POPULATION THERAPEUTICS AND CLINICAL PHARMACOLOGY = JOURNAL DE LA THERAPEUTIQUE DES POPULATIONS ET DE LA PHARMACOLOGIE CLINIQUE 2022; 29:e88-e94. [PMID: 35848201 DOI: 10.47750/jptcp.2022.912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/03/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE This study aimed to assess the diagnostic role of perfusion weighted image (DCE-PWI) to differentiate benign from malignant breast lesions. PATIENTS AND METHODS The study comprised 32 women who had mammography and/or breast ultrasonography findings that were clinically questionable. All patients were fasting during the magnetic resonance imaging (MRI) test to avoid nausea or dynamic contrast-enhanced vomiting from the contrast medium. RESULT In this study, we observed the form of the dynamic curve (time and signal intensity curve) type I (persistent curve) was noted in 12 lesions (37.5%): 10 lesions were benign and two lesions were malignant; type II (plateau curve) was noted in eight lesions (25%): three lesions were benign and five lesions were malignant, and type III (washout curve) noted in 12 lesions (37.5%): one lesion was benign and 11 lesions were malignant. CONCLUSIONS The dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) perfusion technique plays an important role in differentiating benign and malignant tumors in breast cancer.
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Affiliation(s)
- Hussein Abed Dakhil
- Department of Technology of Radiology and Radiotherapy, Tehran University of Medical Sciences, International Campus, Tehran, Iran
- Department of Radiological, Collage of Health & Medical Technology, Al-Ayen University, Thi-Qar, Iraq;
| | - Ahmed Mohamedbaqer Easa
- Department of Technology of Radiology and Radiotherapy, Tehran University of Medical Sciences, International Campus, Tehran, Iran
- Department of Radiological, Collage of Health & Medical Technology, Al-Ayen University, Thi-Qar, Iraq
| | - Ammar Yaser Hussein
- Medical Imaging Department, Al-Haboubi Teaching Hospital, Dhi Qar Health Department, Ministry of Health
| | - Raad Ajeel Bustan
- Department of Technology of Radiology and Radiotherapy, Tehran University of Medical Sciences, International Campus, Tehran, Iran
- Department of Radiological, Collage of Health & Medical Technology, Al-Ayen University, Thi-Qar, Iraq
| | - Hayder Suhail Najm
- Department of Technology of Radiology and Radiotherapy, Tehran University of Medical Sciences, International Campus, Tehran, Iran
- Department of Radiological, Collage of Health & Medical Technology, Al-Ayen University, Thi-Qar, Iraq
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Leemans M, Bauër P, Cuzuel V, Audureau E, Fromantin I. Volatile Organic Compounds Analysis as a Potential Novel Screening Tool for Breast Cancer: A Systematic Review. Biomark Insights 2022; 17:11772719221100709. [PMID: 35645556 PMCID: PMC9134002 DOI: 10.1177/11772719221100709] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/19/2022] [Indexed: 11/17/2022] Open
Abstract
Introduction An early diagnosis is crucial in reducing mortality among people who have breast cancer (BC). There is a shortfall of characteristic early clinical symptoms in BC patients, highlighting the importance of investigating new methods for its early detection. A promising novel approach is the analysis of volatile organic compounds (VOCs) produced and emitted through the metabolism of cancer cells. Methods The purpose of this systematic review is to outline the published research regarding BC-associated VOCs. For this, headspace analysis of VOCs was explored in patient-derived body fluids, animal model-derived fluids, and BC cell lines to identify BC-specific VOCs. A systematic search in PubMed and Web of Science databases was conducted according to the PRISMA guidelines. Results Thirty-two studies met the criteria for inclusion in this review. Results highlight that VOC analysis can be promising as a potential novel screening tool. However, results of in vivo, in vitro and case-control studies have delivered inconsistent results leading to a lack of inter-matrix consensus between different VOC sampling methods. Discussion Discrepant VOC results among BC studies have been obtained, highly due to methodological discrepancies. Therefore, methodological issues leading to disparities have been reviewed and recommendations have been made on the standardisation of VOC collection and analysis methods for BC screening, thereby improving future VOC clinical validation studies.
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Affiliation(s)
| | - Pierre Bauër
- Institut Curie, Ensemble hospitalier, Unité Plaies et Cicatrisation, Paris, France
| | - Vincent Cuzuel
- Institut de Recherche Criminelle de la Gendarmerie Nationale, Caserne Lange, Cergy Pontoise Cedex, France
| | - Etienne Audureau
- Univ Paris Est Créteil, INSERM, IMRB, Créteil, France
- Assistance Publique – Hôpitaux de Paris, Hôpital Henri Mondor, Service de Santé Publique, Créteil, France
| | - Isabelle Fromantin
- Univ Paris Est Créteil, INSERM, IMRB, Créteil, France
- Institut Curie, Ensemble hospitalier, Unité Plaies et Cicatrisation, Paris, France
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Comparison of the diagnostic performance of Magnetic Resonance Imaging (MRI), ultrasound and mammography for detection of breast cancer based on tumor type, breast density and patient's history: A review. Radiography (Lond) 2022; 28:848-856. [PMID: 35148941 DOI: 10.1016/j.radi.2022.01.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 02/07/2023]
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Liu H, Vohra N, Bailey K, El-Shenawee M, Nelson AH. Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning. JOURNAL OF INFRARED, MILLIMETER AND TERAHERTZ WAVES 2022; 43:48-70. [PMID: 36246840 PMCID: PMC9558445 DOI: 10.1007/s10762-021-00839-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 12/21/2021] [Indexed: 05/25/2023]
Abstract
Terahertz imaging and spectroscopy is an exciting technology that has the potential to provide insights in medical imaging. Prior research has leveraged statistical inference to classify tissue regions from terahertz images. To date, these approaches have shown that the segmentation problem is challenging for images of fresh tissue and for tumors that have invaded muscular regions. Artificial intelligence, particularly machine learning and deep learning, has been shown to improve performance in some medical imaging challenges. This paper builds on that literature by modifying a set of deep learning approaches to the challenge of classifying tissue regions of images captured by terahertz imaging and spectroscopy of freshly excised murine xenograft tissue. Our approach is to preprocess the images through a wavelet synchronous-squeezed transformation (WSST) to convert time-sequential terahertz data of each THz pixel to a spectrogram. Spectrograms are used as input tensors to a deep convolution neural network for pixel-wise classification. Based on the classification result of each pixel, a cancer tissue segmentation map is achieved. In experimentation, we adopt leave-one-sample-out cross-validation strategy, and evaluate our chosen networks and results using multiple metrics such as accuracy, precision, intersection, and size. The results from this experimentation demonstrate improvement in classification accuracy compared to statistical methods, an improvement to segmentation between muscle and cancerous regions in xenograft tumors, and identify areas to improve the imaging and classification methodology.
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Affiliation(s)
- Haoyan Liu
- Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Nagma Vohra
- Department of Electrical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Keith Bailey
- Charles River Laboratories, Mattawan, MI, 49071, USA
| | - Magda El-Shenawee
- Department of Electrical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Alexander H. Nelson
- Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, 72701, USA
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Khojasteh Poor F, Keivan M, Ramazii M, Ghaedrahmati F, Anbiyaiee A, Panahandeh S, Khoshnam SE, Farzaneh M. Mini review: The FDA-approved prescription drugs that target the MAPK signaling pathway in women with breast cancer. Breast Dis 2021; 40:51-62. [PMID: 33896802 DOI: 10.3233/bd-201063] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Breast cancer (BC) is the most common cancer and the prevalent type of malignancy among women. Multiple risk factors, including genetic changes, biological age, dense breast tissue, and obesity are associated with BC. The mitogen-activated protein kinases (MAPK) signaling pathway has a pivotal role in regulating biological functions such as cell proliferation, differentiation, apoptosis, and survival. It has become evident that the MAPK pathway is associated with tumorigenesis and may promote breast cancer development. The MAPK/RAS/RAF cascade is closely associated with breast cancer. RAS signaling can enhance BC cell growth and progression. B-Raf is an important kinase and a potent RAF isoform involved in breast tumor initiation and differentiation. Depending on the reasons for cancer, there are different strategies for treatment of women with BC. Till now, several FDA-approved treatments have been investigated that inhibit the MAPK pathway and reduce metastatic progression in breast cancer. The most common breast cancer drugs that regulate or inhibit the MAPK pathway may include Farnesyltransferase inhibitors (FTIs), Sorafenib, Vemurafenib, PLX8394, Dabrafenib, Ulixertinib, Simvastatin, Alisertib, and Teriflunomide. In this review, we will discuss the roles of the MAPK/RAS/RAF/MEK/ERK pathway in BC and summarize the FDA-approved prescription drugs that target the MAPK signaling pathway in women with BC.
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Affiliation(s)
- Fatemeh Khojasteh Poor
- Department of Obstetrics and Gynecology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mona Keivan
- Fertility and Infertility Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.,Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mohammad Ramazii
- Kerman University of Medical Sciences, University of Kerman, Kerman, Iran
| | - Farhoodeh Ghaedrahmati
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Amir Anbiyaiee
- Department of Surgery, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Samira Panahandeh
- School of Health, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Esmaeil Khoshnam
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maryam Farzaneh
- Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Pathogenesis and Potential Therapeutic Targets for Triple-Negative Breast Cancer. Cancers (Basel) 2021; 13:cancers13122978. [PMID: 34198652 PMCID: PMC8232221 DOI: 10.3390/cancers13122978] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/10/2021] [Accepted: 06/12/2021] [Indexed: 12/29/2022] Open
Abstract
Triple negative breast cancer (TNBC) is a heterogeneous tumor characterized by early recurrence, high invasion, and poor prognosis. Currently, its treatment includes chemotherapy, which shows a suboptimal efficacy. However, with the increasing studies on TNBC subtypes and tumor molecular biology, great progress has been made in targeted therapy for TNBC. The new developments in the treatment of breast cancer include targeted therapy, which has the advantages of accurate positioning, high efficiency, and low toxicity, as compared to surgery, radiotherapy, and chemotherapy. Given its importance as cancer treatment, we review the latest research on the subtypes of TNBC and relevant targeted therapies.
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35
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Woollam M, Wang L, Grocki P, Liu S, Siegel AP, Kalra M, Goodpaster JV, Yokota H, Agarwal M. Tracking the Progression of Triple Negative Mammary Tumors over Time by Chemometric Analysis of Urinary Volatile Organic Compounds. Cancers (Basel) 2021; 13:1462. [PMID: 33806757 PMCID: PMC8004946 DOI: 10.3390/cancers13061462] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 01/06/2023] Open
Abstract
Previous studies have shown that volatile organic compounds (VOCs) are potential biomarkers of breast cancer. An unanswered question is how urinary VOCs change over time as tumors progress. To explore this, BALB/c mice were injected with 4T1.2 triple negative murine tumor cells in the tibia. This typically causes tumor progression and osteolysis in 1-2 weeks. Samples were collected prior to tumor injection and from days 2-19. Samples were analyzed by headspace solid phase microextraction coupled to gas chromatography-mass spectrometry. Univariate analysis identified VOCs that were biomarkers for breast cancer; some of these varied significantly over time and others did not. Principal component analysis was used to distinguish Cancer (all Weeks) from Control and Cancer Week 1 from Cancer Week 3 with over 90% accuracy. Forward feature selection and linear discriminant analysis identified a unique panel that could identify tumor presence with 94% accuracy and distinguish progression (Cancer Week 1 from Cancer Week 3) with 97% accuracy. Principal component regression analysis also demonstrated that a VOC panel could predict number of days since tumor injection (R2 = 0.71 and adjusted R2 = 0.63). VOC biomarkers identified by these analyses were associated with metabolic pathways relevant to breast cancer.
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Affiliation(s)
- Mark Woollam
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (M.W.); (P.G.); (A.P.S.); (J.V.G.)
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (L.W.); (S.L.); (H.Y.)
| | - Luqi Wang
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (L.W.); (S.L.); (H.Y.)
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, IN 46202, USA
| | - Paul Grocki
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (M.W.); (P.G.); (A.P.S.); (J.V.G.)
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (L.W.); (S.L.); (H.Y.)
| | - Shengzhi Liu
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (L.W.); (S.L.); (H.Y.)
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, IN 46202, USA
| | - Amanda P. Siegel
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (M.W.); (P.G.); (A.P.S.); (J.V.G.)
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (L.W.); (S.L.); (H.Y.)
| | - Maitri Kalra
- Hematology and Oncology, Ball Memorial Hospital, Indiana University Health, Muncie, IN 47303, USA;
| | - John V. Goodpaster
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (M.W.); (P.G.); (A.P.S.); (J.V.G.)
| | - Hiroki Yokota
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (L.W.); (S.L.); (H.Y.)
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, IN 46202, USA
- Biomechanics and Biomaterials Research Center, Indiana University-Purdue University, Indianapolis, IN 46202, USA
| | - Mangilal Agarwal
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (M.W.); (P.G.); (A.P.S.); (J.V.G.)
- Integrated Nanosystems Development Institute, Indiana University-Purdue University, Indianapolis, IN 46202, USA; (L.W.); (S.L.); (H.Y.)
- Department of Mechanical & Energy Engineering, Indiana University-Purdue University, Indianapolis, IN 46202, USA
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Mishra J, Kumar B, Targhotra M, Sahoo PK. Advanced and futuristic approaches for breast cancer diagnosis. FUTURE JOURNAL OF PHARMACEUTICAL SCIENCES 2020. [DOI: 10.1186/s43094-020-00113-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Breast cancer is the most frequent cancer and one of the most common causes of death in women, impacting almost 2 million women each year. Tenacity or perseverance of breast cancer in women is very high these days with an extensive increasing rate of 3 to 5% every year. Along with hurdles faced during treatment of breast tumor, one of the crucial causes of delay in treatment is invasive and poor diagnostic techniques for breast cancer hence the early diagnosis of breast tumors will help us to improve its management and treatment in the initial stage.
Main body
Present review aims to explore diagnostic techniques for breast cancer that are currently being used, recent advancements that aids in prior detection and evaluation and are extensively focused on techniques that are going to be future of breast cancer detection with better efficiency and lesser pain to patients so that it helps to a physician to prevent delay in treatment of cancer. Here, we have discussed mammography and its advanced forms that are the need of current era, techniques involving radiation such as radionuclide methods, the potential of nanotechnology by using nanoparticle in breast cancer, and how the new inventions such as breath biopsy, and X-ray diffraction of hair can simply use as a prominent method in breast cancer early and easy detection tool.
Conclusion
It is observed significantly that advancement in detection techniques is helping in early diagnosis of breast cancer; however, we have to also focus on techniques that will improve the future of cancer diagnosis in like optical imaging and HER2 testing.
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Aruleba K, Obaido G, Ogbuokiri B, Fadaka AO, Klein A, Adekiya TA, Aruleba RT. Applications of Computational Methods in Biomedical Breast Cancer Imaging Diagnostics: A Review. J Imaging 2020; 6:105. [PMID: 34460546 PMCID: PMC8321173 DOI: 10.3390/jimaging6100105] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 09/12/2020] [Accepted: 09/14/2020] [Indexed: 12/14/2022] Open
Abstract
With the exponential increase in new cases coupled with an increased mortality rate, cancer has ranked as the second most prevalent cause of death in the world. Early detection is paramount for suitable diagnosis and effective treatment of different kinds of cancers, but this is limited to the accuracy and sensitivity of available diagnostic imaging methods. Breast cancer is the most widely diagnosed cancer among women across the globe with a high percentage of total cancer deaths requiring an intensive, accurate, and sensitive imaging approach. Indeed, it is treatable when detected at an early stage. Hence, the use of state of the art computational approaches has been proposed as a potential alternative approach for the design and development of novel diagnostic imaging methods for breast cancer. Thus, this review provides a concise overview of past and present conventional diagnostics approaches in breast cancer detection. Further, we gave an account of several computational models (machine learning, deep learning, and robotics), which have been developed and can serve as alternative techniques for breast cancer diagnostics imaging. This review will be helpful to academia, medical practitioners, and others for further study in this area to improve the biomedical breast cancer imaging diagnosis.
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Affiliation(s)
- Kehinde Aruleba
- School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2001, South Africa; (K.A.); (G.O.); (B.O.)
| | - George Obaido
- School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2001, South Africa; (K.A.); (G.O.); (B.O.)
| | - Blessing Ogbuokiri
- School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2001, South Africa; (K.A.); (G.O.); (B.O.)
| | - Adewale Oluwaseun Fadaka
- Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa;
| | - Ashwil Klein
- Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Private Bag X17, Bellville, Cape Town 7535, South Africa;
| | - Tayo Alex Adekiya
- Department of Pharmacy and Pharmacology, School of Therapeutic Science, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 7 York Road, Parktown 2193, South Africa;
| | - Raphael Taiwo Aruleba
- Department of Molecular and Cell Biology, Faculty of Science, University of Cape Town, Cape Town 7701, South Africa
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Nitrogen-Doped Titanium Dioxide Nanoparticles Modified by An Electron Beam for Improving Human Breast Cancer Detection by Raman Spectroscopy: A Preliminary Study. Diagnostics (Basel) 2020; 10:diagnostics10100757. [PMID: 32993195 PMCID: PMC7600689 DOI: 10.3390/diagnostics10100757] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 09/22/2020] [Accepted: 09/24/2020] [Indexed: 12/20/2022] Open
Abstract
Titanium dioxide (TiO2) is commonly used as a pigment in paints, paper products, polymer compositions, and cosmetic products, and even as a food additive or drug coating material. In recent times, it has also been used in photovoltaic cells, semiconductors, biomedical devices, and air purification. In this paper, the potential application of nitrogen-doped TiO2 nanoparticles modified by an electron beam for improving human breast cancer detection by Raman spectroscopy is presented. Raman spectroscopy (RS) is a promising noninvasive analytical technique in cancer detection that enables us to retrieve a molecular signature of the biochemical composition of cancerous tissue. However, RS still has some challenges in signal detection, mainly related to strong concurrent background fluorescence from the analyzed tissue. The Raman signal scattering is several orders of magnitude smaller than the fluorescence intensity, and strong fluorescence masks a much weaker Raman signal. The Raman results demonstrate that the N-doped TiO2 electron beam-irradiated nanoparticles amplify the Raman scattering. The intrinsic properties of the adsorbed molecules from human breast tissue and the surface properties of the N-doped TiO2 electron beam-irradiated nanoparticles (the excited electron–hole pair at the surface) have a significant effect on the enhanced Raman signal intensity.
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Characterisation of MRI Indeterminate Breast Lesions Using Dedicated Breast PET and Prone FDG PET-CT in Patients with Breast Cancer—A Proof-of-Concept Study. J Pers Med 2020; 10:jpm10040148. [PMID: 32992995 PMCID: PMC7712852 DOI: 10.3390/jpm10040148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 09/17/2020] [Accepted: 09/21/2020] [Indexed: 01/18/2023] Open
Abstract
Magnetic resonance imaging (MRI) in patients with breast cancer to assess extent of disease or multifocal disease can demonstrate indeterminate lesions requiring second-look ultrasound and ultrasound or MRI-guided biopsies. Prone positron emission tomography-computed tomography (PET-CT) is a dedicated acquisition performed with a breast-supporting device on a standard PET-CT scanner. The MAMmography with Molecular Imaging (MAMMI, Oncovision, Valencia, Spain) PET system (PET-MAMMI) is a true tomographic ring scanner for the breast. We investigated if PET-MAMMI and prone PET-CT were able to characterise these MRI- indeterminate lesions further. A total of 10 patients with breast cancer and indeterminate lesions on breast MRI were included. Patients underwent prone PET-MAMMI and prone PET-CT after injection of FDG subsequently on the same day. Patients then resumed their normal pathway, with the clinicians blinded to the results of the PET-MAMMI and prone PET-CT. Of the MRI-indeterminate lesions, eight were histopathologically proven to be malignant and two were benign. PET-MAMMI and prone PET-CT only were able to demonstrate increased FDG uptake in 1/8 and 0/8 of the MRI-indeterminate malignant lesions, respectively. Of the MRI-indeterminate benign lesions, both PET-MAMMI and prone PET-CT demonstrated avidity in 1/2 of these lesions. Our findings do not support the use of PET-MAMMI to characterise indeterminate breast MRI lesions requiring a second look ultrasound.
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Woollam M, Teli M, Liu S, Daneshkhah A, Siegel AP, Yokota H, Agarwal M. Urinary Volatile Terpenes Analyzed by Gas Chromatography-Mass Spectrometry to Monitor Breast Cancer Treatment Efficacy in Mice. J Proteome Res 2020; 19:1913-1922. [PMID: 32227867 DOI: 10.1021/acs.jproteome.9b00722] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Urinary volatile terpene (VT) levels are significantly altered with induced models of breast cancer in mice. The question arises whether VTs can detect the efficacy of antitumor treatments. BALB/c mice were injected with 4T1.2 murine tumor cells in the mammary pad or iliac artery to model localized breast cancer and induced bone metastasis. The effect of two dopaminergic antitumor agents was tested by conventional histology and altered VT levels. The headspace of urine specimens was analyzed by gas chromatography-mass spectrometry. In the localized model, the statistical significance (p < 0.05) was identified for 26% of VTs, and in the metastasis model, 19% of VTs. The authors discovered separate VT panels classifying localized/control [area under the curve (AUC) = 1.0] and metastasis/control (AUC = 0.98). Treatment samples were tested using these panels, which showed that mice treated with either agent were statistically significantly different from cancer samples, which is consistent with conventional analysis.
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Affiliation(s)
- Mark Woollam
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States.,Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States
| | - Meghana Teli
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States.,Department of Biomedical Engineering, Indiana University-Purdue University Indianapolis Indianapolis 46202, Indiana, United States
| | - Shengzhi Liu
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States.,Department of Biomedical Engineering, Indiana University-Purdue University Indianapolis Indianapolis 46202, Indiana, United States
| | - Ali Daneshkhah
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States
| | - Amanda P Siegel
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States.,Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States
| | - Hiroki Yokota
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States.,Department of Biomedical Engineering, Indiana University-Purdue University Indianapolis Indianapolis 46202, Indiana, United States.,Biomechanics and Biomaterials Research Center, Indianapolis 46202, Indiana, United States
| | - Mangilal Agarwal
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States.,Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States.,Department of Mechanical Engineering and Energy, Indiana University-Purdue University Indianapolis, Indianapolis 46202, Indiana, United States
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Yu Q, Huang K, Zhu Y, Chen X, Meng W. Preliminary results of computer-aided diagnosis for magnetic resonance imaging of solid breast lesions. Breast Cancer Res Treat 2019; 177:419-426. [PMID: 31203487 DOI: 10.1007/s10549-019-05297-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 05/25/2019] [Indexed: 11/26/2022]
Abstract
PURPOSE The present study aimed to determine suitable optimal classifiers and investigate the general applicability of computer-aided diagnosis (CAD) to compare magnetic resonance (MR)-CAD with MR imaging (MRI) in distinguishing benign from malignant solid breast masses. METHODS We analyzed a total of 251 patients (mean age: 44.8 ± 12.3 years; range: 21-81 years) with 274 breast masses (154 benign masses, 120 malignant masses) using a Gaussian mixture model and a random forest machine model for segmentation and classification. RESULTS The diagnostic performance of MRI alone and MRI plus CAD were compared with respect to sensitivity, specificity, and area under the curve (AUC), using receiver operating characteristic curve analysis. The discriminating power to detect malignancy using MR-CAD with an AUC of 0.955 (sensitivity was 95.8% and the specificity was 92.9%) was significantly higher than that of MRI alone with an AUC of 0.785 (sensitivity was 71.7% and the specificity was 85.7%). CONCLUSION CAD is feasible to differentiate breast lesions, and it can complement MRI, thereby making it easier to diagnose breast lesions and obviating the need for unnecessary biopsies.
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Affiliation(s)
- Qiujie Yu
- Radiology Department, Harbin Medical University, The Third Affiliated Hospital of Harbin Medical University, 150 Haping Road, Harbin, 150081, Heilongjiang, China
| | - Kuan Huang
- Department of Computer Science, Utah State University, Old Main Hill, Logan, Utah, 84322, USA
| | - Ye Zhu
- Department of Obstetrics and Gynecology, Peking University People's Hospital, No.11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Xiaodan Chen
- Department of Computer Technology, Harbin Institute of Technology University, 92 West street, Harbin, 150000, Heilongjiang, China
| | - Wei Meng
- Radiology Department, Harbin Medical University, The Third Affiliated Hospital of Harbin Medical University, 150 Haping Road, Harbin, 150081, Heilongjiang, China.
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