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KMID : 1147320190060020058
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Journal of Surgical Ultrasound
2019 Volume.6 No. 2 p.58 ~ p.63
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A Comparative Study of the Diagnostic Performance of Evaluating Breast Masses for Breast Surgeons versus S-DetectTM(Samsung Medison Co., Ltd, Seoul, Korea)
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Kim Ha-Ram
Kwon Ei-Young
Park Young-Sam
Choi Eun-Hye
Kim Mi-Jin
Kim Cheol-Seung
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Abstract
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Purpose: Ultrasonography is widely used for examining breast mass. We used the Breast Imaging-Reporting and Data System (BI-RADS) to characterize breast lesions found on ultrasonography. Among various ultrasound techniques, we used S-DetectTM (Samsung Medison Co., Ltd, Seoul, Korea), which supports the morphological analysis of breast masses found according to BI-RADS. In addition, we compared the breast surgeons’ categorization of breast masses with that by S-DetectTM.
Methods: Breast surgeons evaluated the breast masses found using ultrasonography between April 2016 and December 2016. A total of 139 masses, which were categorized as BI-RADS 3 or 4, from 112 patients were reevaluated by S-DetectTM before performing vacuum-assisted resection or surgical excision.
Results: Of the 139 masses, 118 were benign tumors and 21 were malignant tumors. With regard to the diagnostic performance, the sensitivity of categorization was 95% for breast surgeons, but the sensitivity was relatively lower for S-detectTM (85%). However, the specificity and accuracy of S-detectTM were 70.6% and 74.1%, respectively, which were higher than those values obtained from breast surgeons (18.5% and 30.9%, respectively).
Conclusion: S-detectTM can be used by breast surgeons as a diagnostic aid when evaluating and diagnosing breast masses found on ultrasonography.
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KEYWORD
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Breast, Ultrasonography, Computer-assisted diagnosis, Artificial intelligence
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