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.

Bartolotta T.V., Orlando A.A.M., Spatafora L., Dimarco M., Gagliardo C., & Taibbi A. (2020). S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay. JOURNAL OF ULTRASOUND, 23(2), 207-215 [10.1007/s40477-020-00447-w].

S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay

Bartolotta T. V.;Orlando A. A. M.
;
Spatafora L.;Dimarco M.;Gagliardo C.;Taibbi A.
2020

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.
Settore MED/36 - Diagnostica Per Immagini E Radioterapia
Bartolotta T.V., Orlando A.A.M., Spatafora L., Dimarco M., Gagliardo C., & Taibbi A. (2020). S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay. JOURNAL OF ULTRASOUND, 23(2), 207-215 [10.1007/s40477-020-00447-w].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/428850
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