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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0891
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
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article

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

Debosmita Biswas, Savannah C. Partridge, Jessica Gibbs, Lisa J. Wilmes et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
MRI in cancer diagnosis
article

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

Debosmita Biswas, Savannah C. Partridge, Jessica Gibbs, Lisa J. Wilmes, Nola M. Hylton, Anum S. Kazerouni, Patrick J. Bolan, An Church, Gregory J. Metzger, Wen Li
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 64%
MRI in cancer diagnosis
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Restricted Diffusion Volume (RDV): a novel quantitative metric to improve prediction of breast cancer response to neoadjuvant chemotherapy — Debosmita Biswas, Savannah C. Partridge, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS