Focal breast lesion characterization according to the BI-RADS US lexicon: role of a computer-aided decision-making support
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The breast imaging-reporting and data system (BI-RADS) lexicon was first developed in 2003 by the American College of Radiology (ACR), in an attempt to standardize image interpretation, reporting and teaching breast imaging, including ultrasound (US) . Despite this validation, the variability in the assessment of focal breast lesions (FBLs) with the use of BI-RADS US lexicon is still an issue, in particular for some of the descriptors, such as margin and echo pattern of lesion [2, 3, 4, 5].
In this peculiar setting, evidence shows that computer-aided image analysis may be effective in improving the radiologist’s assessment of FBLs. Computer-aided classification systems work in three phases: image processing, segmentation and feature extraction and they may be classified according to the algorithms employed in each phase [6, 7].
According to some authors, these systems can potentially improve breast lesion classification, both in terms of performance and operator...
KeywordsBreast Ultrasonography Neoplasms BI-RADS Diagnosis Computer aided
Compliance with ethical standards
Conflict of interest
Prof. Tommaso Vincenzo Bartolotta has lectured for Samsung. Doctor Vito Cantisani has lectured for Samsung.
The authors have read and complied with the policy of the journal on ethical consent.
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