Advanced DWI Models for Early Prediction of Pathologic Complete Response in Breast Cancer Treatment: Preliminary Results in a Multicenter Trial

Motivation: DWI shows promise for early prediction of pathologic complete response (pCR), an important prognostic marker in neoadjuvant chemotherapy (NAC) treatment. Goal(s): To compare the performance of conventional ADC and advanced DWI models in predicting pCR in an ongoing multicenter prospective trial. Approach: In 25 women undergoing NAC, MRI scans were performed at pre- and early-treatment (post 1-cycle) timepoints. Tumors were evaluated using IVIM, DKI, and RSI models, and compared with ADC. Results: Changes in ADC, IVIM, DKI, and RSI metrics predicted pCR at early-treatment with moderately-high AUCs (0.77-0.92), suggesting future potential utility in guiding breast cancer treatment. Impact: ADC and advanced DWI models demonstrate accurate early prediction of pathologic response in breast tumors undergoing neoadjuvant chemotherapy. Results support their potential as imaging biomarkers to help optimize breast cancer treatments in the future.

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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/10.58530/2025/2001
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced DWI Models for Early Prediction of Pathologic Complete Response in Breast Cancer Treatment: Preliminary Results in a Multicenter Trial

Debosmita Biswas, Savannah C. Partridge, Thomas L. Chenevert, Jennifer M. Specht 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
Gene expression and cancer classification
article

Advanced DWI Models for Early Prediction of Pathologic Complete Response in Breast Cancer Treatment: Preliminary Results in a Multicenter Trial

Debosmita Biswas, Savannah C. Partridge, Thomas L. Chenevert, Jennifer M. Specht, Suzanne M. Dintzis, X. Allen Li, Anum S. Kazerouni, Habib Rahbar, Wei Huang, James H. Holmes, Mary Kate Bryant, Patrick J. Bolan, Isabella Li, Dariya Malyarenko, Dallas Turley, Janet Ricks, Brendan Moloney
article en

Abstract

Motivation: DWI shows promise for early prediction of pathologic complete response (pCR), an important prognostic marker in neoadjuvant chemotherapy (NAC) treatment. Goal(s): To compare the performance of conventional ADC and advanced DWI models in predicting pCR in an ongoing multicenter prospective trial. Approach: In 25 women undergoing NAC, MRI scans were performed at pre- and early-treatment (post 1-cycle) timepoints. Tumors were evaluated using IVIM, DKI, and RSI models, and compared with ADC. Results: Changes in ADC, IVIM, DKI, and RSI metrics predicted pCR at early-treatment with moderately-high AUCs (0.77-0.92), suggesting future potential utility in guiding breast cancer treatment. Impact: ADC and advanced DWI models demonstrate accurate early prediction of pathologic response in breast tumors undergoing neoadjuvant chemotherapy. Results support their potential as imaging biomarkers to help optimize breast cancer treatments in the future.

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 78%
Gene expression and cancer classification
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