Using quantitative features extracted from T2-weighted MRI to improve breast MRI computer-aided diagnosis (CAD).

ABSTRACT: Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the diagnostic decision process by radiologists. T2w MRI findings are diagnostically complementary to T1w DCE-MRI findings in the breast and prior research showed that measuring the T2w intensity of a lesion relative to a tissue of reference improves diagnostic accuracy. The diagnostic value of this information in CAD has not been yet quantified. This study proposes an automatic method of assessing relative T2w lesion intensity without the need to select a reference region. We also evaluate the effect of adding this feature to other T2w and T1w image features in the predictive performance of a breast lesion classifier for differential diagnosi

SUBMITTER: Gallego-Ortiz C 

PROVIDER: S-EPMC5675400 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature