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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords