Meeting Banner
Abstract #4736

Quantifying heterogeneity in DW-MRI and DCE-MRI data of breast cancer for the prediction of treatment response: Preliminary results

Anum K Syed1, Chengyue Wu1, Angela M Jarrett1, Anna G Sorace2, John M Virostko1, and Thomas E Yankeelov1
1University of Texas at Austin, Austin, TX, United States, 2University of Alabama at Birmingham, Birmingham, AL, United States

We investigate multiparametric analysis of DW- and DCE-MRI data to identify tumor subregions indicative of response in breast cancer patients undergoing neoadjuvant therapy (NAT). The analysis showed significant increases in low vascular perfusion, low cellularity subregions early in the course of NAT for patients who achieved pathological complete response and significant decreases in high vascular perfusion, high cellularity subregions on the border with parenchyma. High-dimensional analysis of multimodal MRI data can be utilized to identify subregions of response within patients and these characterizations of intratumoral heterogeneity can potentially be used to guide therapy for improved patient outcome.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here