TY - JOUR
T1 - S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay
AU - Gagliardo, Cesare
AU - Taibbi, Adele
AU - Bartolotta, Tommaso Vincenzo
AU - Taibbi, Adele
AU - Orlando, Alessia Angela Maria
AU - Dimarco, Mariangela
AU - Spatafora, Luigi
AU - Gagliardo, Cesare
AU - Bartolotta, Tommaso Vincenzo
AU - Orlando, Alessia Angela Maria
AU - Spatafora, Luigi
AU - Dimarco, Mariangela
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10447/428850
M3 - Article
VL - 23
SP - 207
EP - 215
JO - Journal of Ultrasound
JF - Journal of Ultrasound
SN - 1971-3495
ER -