| Literature DB >> 32185702 |
Tommaso Vincenzo Bartolotta1,2, Alessia Angela Maria Orlando3, Luigi Spatafora1, Mariangela Dimarco1, Cesare Gagliardo1, Adele Taibbi1.
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.Entities:
Keywords: BI-RADS; Breast neoplasms; Computer-assisted diagnosis; Decision-making; Problem-solving; Ultrasonography
Mesh:
Year: 2020 PMID: 32185702 PMCID: PMC7242582 DOI: 10.1007/s40477-020-00447-w
Source DB: PubMed Journal: J Ultrasound ISSN: 1876-7931