Abstract #0891

Restricted Diffusion Volume (RDV): a novel quantitative metric to improve prediction of breast cancer response to neoadjuvant chemotherapy

Patrick J Bolan¹, Debosmita Biswas², Gregory J Metzger¹, Anum S Kazerouni², Wen Li³, Lisa J Wilmes³, Jessica Gibbs³, An L Church⁴, Nola M Hylton³, and Savannah C Partridge²

¹Radiology/CMRR, University of Minnesota, Minneapolis, MN, United States, ²Radiology, University of Washington, Seattle, WA, United States, ³Radiology, University of California - San Francisco, San Francisco, CA, United States, ⁴Radiology, University of Minnesota, Minneapolis, MN, United States

Synopsis

Keywords: Diffusion Analysis & Visualization, Diffusion Analysis and Visualization, breast cancer, treatment monitoring

Motivation: Diffusion-weighted imaging can be used to monitor treatment response in breast cancer. The conventional approach of measuring ADC requires manual processing and moderate predictive performance early in treatment.

Goal(s): To develop an objective measurement of diffusion response and evaluate its predictive performance.

Approach: Retrospective analyses were performed using data from the ACRIN 6698 trial. The restricted diffusion volume (RDV) was calculated by summing pixels meeting multiple objective criteria, including ADC in the range [0.6, 1.4] x10^-3 mm²/s. The predictive performance of RDV was compared to conventional ADC and contrast-enhanced imaging.

Results: RDV outperformed ADC early in treatment and matched its performance post-treatment.

Impact: RDV is a novel, semi-automated diffusion metric that provides improved performance over conventional ROI-mean ADC. This can be used to optimize treatment and could lead to contrast-free therapy monitoring.

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