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

Cesare Gagliardo, Adele Taibbi, Tommaso Vincenzo Bartolotta, Adele Taibbi, Alessia Angela Maria Orlando, Mariangela Dimarco, Luigi Spatafora, Cesare Gagliardo, Tommaso Vincenzo Bartolotta, Alessia Angela Maria Orlando, Luigi Spatafora, Mariangela Dimarco

Risultato della ricerca: Articlepeer review

4 Citazioni (Scopus)

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.
Lingua originaleEnglish
pagine (da-a)207-215
Numero di pagine9
RivistaJournal of Ultrasound
Volume23
Stato di pubblicazionePublished - 2020

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.2700.2741???

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