词典
双雷达
乳房成像
医学
超声科
放射科
乳腺摄影术
医学物理学
人工智能
计算机科学
乳腺癌
内科学
癌症
作者
Tommaso Vincenzo Bartolotta,Alessia Angela Maria Orlando,Luigi Spatafora,Mariangela Dimarco,Cesare Gagliardo,Adele Taibbi
标识
DOI:10.1007/s40477-020-00447-w
摘要
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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