Abstract
High-resolution ultrasonography (US) is a valuable tool in breast imaging. Nevertheless, US is an operator-dependent technique: to overcome this issue, the American College of Radiology (ACR) has developed the breast imaging-reporting and data system (BI-RADS) US lexicon. Despite this effort, the variability in the assessment of focal breast lesions (FBLs) with the use of BI-RADS US lexicon is still an issue. Within this framework, evidence shows that computer-aided image analysis may be effective in improving the radiologist’s assessment of FBLs. In particular, S-Detect is a newly developed image-analytic computer program that provides assistance in morphologic analysis of FBLs seen on US according to the BI-RADS US lexicon. This pictorial essay describes state-of-the-art of sonographic characterization of FBLs by using S-Detect.
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This research was supported by research equipment from SAMSUNG MEDISON Co., Ltd.
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Tommaso Vincenzo Bartolotta is lecturer and scientific advisor for Samsung. Other authors declare that they have no conflict of interest.
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Institutional Review Board approval was granted for the use of all data in this study. The procedures used in this study adhere to the tenets of the Declaration of Helsinki.
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Bartolotta, T.V., Orlando, A.A.M., Spatafora, L. et al. S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay. J Ultrasound 23, 207–215 (2020). https://doi.org/10.1007/s40477-020-00447-w
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DOI: https://doi.org/10.1007/s40477-020-00447-w