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RESEARCH PRODUCT

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

Tommaso Vincenzo BartolottaMariangela DimarcoAdele TaibbiLuigi SpataforaAlessia Angela Maria OrlandoCesare Gagliardo

subject

medicine.medical_specialtyBI-RADSBreast imagingProblem-solvingBreast NeoplasmsBI-RADSLexicon030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineImage Interpretation Computer-AssistedComputer-assisted diagnosiInternal MedicinemedicineHumansRadiology Nuclear Medicine and imagingMedical physicsBreastUltrasonographyBreast neoplasmbusiness.industryGeneral MedicineRadiology Information Systems030220 oncology & carcinogenesisPictorial EssayFemaleUltrasonography MammaryUltrasonographySettore MED/36 - Diagnostica Per Immagini E RadioterapiabusinessDecision-making

description

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.

yearjournalcountryeditionlanguage
2020-03-17Journal of Ultrasound
https://doi.org/10.1007/s40477-020-00447-w