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Kwon H, Oh SH, Kim MG, Kim Y, Jung G, Lee HJ, Kim SY, Bae HM. Enhancing Breast Cancer Detection through Advanced AI-Driven Ultrasound Technology: A Comprehensive Evaluation of Vis-BUS. Diagnostics (Basel) 2024; 14:1867. [PMID: 39272652 PMCID: PMC11394308 DOI: 10.3390/diagnostics14171867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 08/23/2024] [Accepted: 08/25/2024] [Indexed: 09/15/2024] Open
Abstract
This study aims to enhance breast cancer detection accuracy through an AI-driven ultrasound tool, Vis-BUS, developed by Barreleye Inc., Seoul, South Korea. Vis-BUS incorporates Lesion Detection AI (LD-AI) and Lesion Analysis AI (LA-AI), along with a Cancer Probability Score (CPS), to differentiate between benign and malignant breast lesions. A retrospective analysis was conducted on 258 breast ultrasound examinations to evaluate Vis-BUS's performance. The primary methods included the application of LD-AI and LA-AI to b-mode ultrasound images and the generation of CPS for each lesion. Diagnostic accuracy was assessed using metrics such as the Area Under the Receiver Operating Characteristic curve (AUROC) and the Area Under the Precision-Recall curve (AUPRC). The study found that Vis-BUS achieved high diagnostic accuracy, with an AUROC of 0.964 and an AUPRC of 0.967, indicating its effectiveness in distinguishing between benign and malignant lesions. Logistic regression analysis identified that 'Fatty' lesion density had an extremely high odds ratio (OR) of 27.7781, suggesting potential convergence issues. The 'Unknown' density category had an OR of 0.3185, indicating a lower likelihood of correct classification. Medium and large lesion sizes were associated with lower likelihoods of correct classification, with ORs of 0.7891 and 0.8014, respectively. The presence of microcalcifications showed an OR of 1.360. Among Breast Imaging-Reporting and Data System categories, category C5 had a significantly higher OR of 10.173, reflecting a higher likelihood of correct classification. Vis-BUS significantly improves diagnostic precision and supports clinical decision-making in breast cancer screening. However, further refinement is needed in areas like lesion density characterization and calcification detection to optimize its performance.
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Affiliation(s)
- Hyuksool Kwon
- Laboratory of Quantitative Ultrasound Imaging, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea
- Imaging Division, Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea
- Barreleye Inc., 312, Teheran-ro, Gangnam-gu, Seoul 06221, Republic of Korea
| | - Seok Hwan Oh
- Laboratory of Quantitative Ultrasound Imaging, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea
- Barreleye Inc., 312, Teheran-ro, Gangnam-gu, Seoul 06221, Republic of Korea
- Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Myeong-Gee Kim
- Laboratory of Quantitative Ultrasound Imaging, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea
- Barreleye Inc., 312, Teheran-ro, Gangnam-gu, Seoul 06221, Republic of Korea
- Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Youngmin Kim
- Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Guil Jung
- Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Hyeon-Jik Lee
- Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Sang-Yun Kim
- Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Hyeon-Min Bae
- Barreleye Inc., 312, Teheran-ro, Gangnam-gu, Seoul 06221, Republic of Korea
- Electrical Engineering Department, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
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Coffey K, Berg WA, Dodelzon K, Jochelson MS, Mullen LA, Parikh JR, Hutcheson L, Grimm LJ. Breast Radiologists' Perceptions on the Detection and Management of Invasive Lobular Carcinoma: Most Agree Imaging Beyond Mammography Is Warranted. JOURNAL OF BREAST IMAGING 2024; 6:157-165. [PMID: 38340343 PMCID: PMC10983784 DOI: 10.1093/jbi/wbad112] [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: 09/05/2023] [Indexed: 02/12/2024]
Abstract
OBJECTIVE To determine breast radiologists' confidence in detecting invasive lobular carcinoma (ILC) on mammography and the perceived need for additional imaging in screening and preoperative settings. METHODS A 16-item anonymized survey was developed, and IRB exemption obtained, by the Society of Breast Imaging (SBI) Patient Care and Delivery Committee and the Lobular Breast Cancer Alliance. The survey was emailed to 2946 radiologist SBI members on February 15, 2023. The survey recorded demographics, perceived modality-specific sensitivity for ILC to the nearest decile, and opinions on diagnosing ILC in screening and staging imaging. Five-point Likert scales were used (1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, 5 = strongly agree). RESULTS Response rate was 12.4% (366/2946). Perceived median (interquartile range) modality-specific sensitivities for ILC were MRI 90% (80-90), contrast-enhanced mammography 80% (70-90), molecular breast imaging 80% (60-90), digital breast tomosynthesis 70% (60-80), US 60% (50-80), and 2D mammography 50% (30-60). Only 25% (85/340) respondents were confident in detecting ILC on screening mammography in dense breasts, while 67% (229/343) were confident if breasts were nondense. Most agreed that supplemental screening is needed to detect ILC in women with dense breasts (272/344, 79%) or a personal history of ILC (248/341, 73%), with 34% (118/334) indicating that supplemental screening would also benefit women with nondense breasts. Most agreed that additional imaging is needed to evaluate extent of disease in women with newly diagnosed ILC, regardless of breast density (dense 320/329, 97%; nondense 263/329, 80%). CONCLUSION Most breast radiologists felt that additional imaging beyond mammography is needed to more confidently screen for and stage ILC.
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Affiliation(s)
- Kristen Coffey
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Wendie A Berg
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Maxine S Jochelson
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lisa A Mullen
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Jay R Parikh
- Division of Diagnostic Imaging, Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Lars J Grimm
- Department of Radiology, Duke University, Durham, NC, USA
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