Multiparametric MRI helps predict breast cancer treatment outcomes

Multiparametric MRI helps predict breast cancer treatment response, according to a report on the RSNA's Breast Multiparametric MRI for prediction of neoadjuvant chemotherapy Response (BMMR2) challenge published January 5 in Radiology: Imaging Cancer. The findings suggest that MRI could offer an effective way to tailor the care of women with the disease, wrote a team led by Wen Li, PhD, of the University of California, San Francisco. "Outcomes of the BMMR2 challenge provide further compelling evidence of the value of functional breast MRI as an early marker of treatment response that may aid in critical escalation and de-escalation decisions," Li and colleagues noted. Neoadjuvant therapy is the standard method for treating breast cancer, and quantitative MRI metrics have "shown promise for predicting individual treatment outcome, which could aid in personalizing therapies," the authors wrote. In an effort to explore the efficacy of MRI for this indication, the RSNA held the BMMR2 challenge between May and December of 2021, asking participants to identify image-based markers taken from multiparametric breast MR imaging -- including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MR imaging -- as well as clinical data (i.e., race, sex, HR2/HER2 subtype, lesion type) that could help predict whether a patient would have a complete response following neoadjuvant treatment. Eight teams participated. The challenge included data from 573 breast MRI exams procu...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: MRI Womens Imaging Breast Imaging Source Type: news