J Surg Ultrasound.  2019 Nov;6(2):58-63. 10.0000/jsu.2019.6.2.58.

A Comparative Study of the Diagnostic Performance of Evaluating Breast Masses for Breast Surgeons versus S-Detectâ„¢ (Samsung Medison Co., Ltd, Seoul, Korea)

Affiliations
  • 1Department of Surgery, Presbyterian Medical Center, Jeonju, Korea. cskimmd@hotmail.com

Abstract

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-Detectâ„¢ (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-Detectâ„¢.
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-Detectâ„¢ 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-detectâ„¢ (85%). However, the specificity and accuracy of S-detectâ„¢ 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-detectâ„¢ can be used by breast surgeons as a diagnostic aid when evaluating and diagnosing breast masses found on ultrasonography.

Keyword

Breast; Ultrasonography; Computer-assisted diagnosis; Artificial intelligence

MeSH Terms

Artificial Intelligence
Breast*
Diagnosis, Computer-Assisted
Humans
Information Systems
Sensitivity and Specificity
Seoul*
Surgeons*
Ultrasonography
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