Multiparametric MRI model with dynamic contrast-enhanced and diffusion-weighted imaging enables breast cancer diagnosis with high accuracy.

ABSTRACT:

Background

The MRI Breast Imaging-Reporting and Data System (BI-RADS) lexicon recommends that a breast MRI protocol contain T₂ -weighted and dynamic contrast-enhanced (DCE) MRI sequences. The addition of diffusion-weighted imaging (DWI) significantly improves diagnostic accuracy. This study aims to clarify which descriptors from DCE-MRI, DWI, and T₂ -weighted imaging are most strongly associated with a breast cancer diagnosis.

Purpose/hypothesis

To develop a multiparametric MRI (mpMRI) model for breast cancer diagnosis incorporating American College of Radiology (ACR) BI-RADS recommended descriptors for breast MRI with DCE, T₂ -weighted imaging, and DWI with apparent diffusion coefficient (ADC) mapping.

Study type

Retrospective.

Sub

SUBMITTER: Zhang M 

PROVIDER: S-EPMC6375760 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature