Reducing Protocol Variability Enhances Predictive Performance of Breast MRI Biomarkers in a Multicenter Clinical Trial
Motivation: Variability in imaging protocols can reduce the predictive accuracy of biomarkers like FTV in multicenter trials. This study evaluates whether stricter DCE-MRI protocol adherence improves FTV's predictive power for pCR. Goal(s): To assess the impact of revised DCE-MRI protocols on FTV's accuracy for pCR in the I-SPY 2 trial. Approach: MRI data from 2,118 participants were analyzed, comparing AUCs for pCR prediction pre- and post-2021 protocol update, with acquisition duration consistency assessed via CV. Results: Post-update, AUC for FTV increased from 0.686 to 0.742, with acquisition CV consistently below 10%, indicating stable imaging conditions and enhanced predictive reliability. Impact: Enforcing stricter adherence to MRI protocol improved FTV's predictive accuracy for identifying pathological complete response (pCR) in breast cancer neoadjuvant therapy, increasing reliability and data consistency within the I-SPY 2 trial's multicenter framework.
Authors
- W. Fraser Symmans (ORCID: https://orcid.org/0000-0002-1526-184X)
- Jessica Gibbs
- Barbara LeStage
- Bonnie N. Joe (ORCID: https://orcid.org/0000-0001-9333-1463)
- Natsuko Onishi (ORCID: https://orcid.org/0000-0003-4495-9187)
- Nola Hylton
- John Kornak (ORCID: https://orcid.org/0000-0002-0089-0619)
- Lisa J. Wilmes
- Douglas Yee (ORCID: https://orcid.org/0000-0002-3387-4009)
- Margarita Watkins
- Rebecca Shatsky (ORCID: https://orcid.org/0000-0003-2289-6234)
- Angela DeMichelle
- Nu Le
- Christina Yau (ORCID: https://orcid.org/0000-0002-1937-0859)
- Teffany Joy Bareng
- Mark Jesus M. Magbanua (ORCID: https://orcid.org/0000-0003-2113-3593)
- Claudine J. Isaacs (ORCID: https://orcid.org/0000-0002-9646-1260)
- Laura Esserman
- Elissa R. Price (ORCID: https://orcid.org/0000-0001-9572-7795)
- Pouya Metanat (ORCID: https://orcid.org/0000-0003-2905-4080)
- Hope S. Rugo (ORCID: https://orcid.org/0000-0001-6710-4814)
- Matthew Gibbons (ORCID: https://orcid.org/0000-0003-4108-6157)
- Wen Li (ORCID: https://orcid.org/0000-0001-6584-363X)
- Laura van 't Veer
- Denise Wolf
- Jane Perlmutter
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/10.58530/2025/1667
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00