Open AccessS-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay
Author(s) -
Tommaso Vincenzo Bartolotta,
Alessia Angela Maria Orlando,
Luigi Spatafora,
Mariangela Dimarco,
Cesare Gagliardo,
Adele Taibbi
Publication year - 2020
Publication title -
journal of ultrasound
Language(s) - English
Resource type - Journals
eISSN - 1971-3495
pISSN - 1876-7931
DOI - 10.1007/s40477-020-00447-w
Subject(s) - lexicon , bi rads , breast imaging , medicine , ultrasonography , radiology , mammography , medical physics , artificial intelligence , computer science , breast cancer , cancer
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.