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

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

Risultato della ricerca: Articlepeer review

3 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

  • Internal Medicine
  • Radiology Nuclear Medicine and imaging

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