Time-Dependent Diffusion MRI Parameters for Non-invasive Assessment of PARVA Expression in Breast Cancer

Motivation: PARVA has emerged as a novel prognostic indicator in breast cancer stromal regions, but non-invasive assessment of this biomarker remains challenging. Goal(s): This study aims to investigate whether time-dependent diffusion parameters correlate with PARVA expression in breast cancer. Approach: Advanced DWI parameters (DKI, S-index, sADC) were estimated at multiple diffusion times (5-27.6ms) on breast cancer PDX mice models and compared with PARVA immunohistochemistry. Results: S-index, sADC and Kurtosis allowed to classify lesions as positive or negative for PARVA expression with high accuracy across all diffusion times. Impact: Advanced DWI parameters (Kurtosis, S-index, sADC) enables non-invasive assessment of the expression of biological markers linked to stromal organization in breast cancer.

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/10.58530/2025/2889
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Time-Dependent Diffusion MRI Parameters for Non-invasive Assessment of PARVA Expression in Breast Cancer

Yasuto Takeuchi, Tomomi W. Nobashi, Shinji Naganawa, Hirohiko Imai 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
Advanced MRI Techniques and Applications
article

Time-Dependent Diffusion MRI Parameters for Non-invasive Assessment of PARVA Expression in Breast Cancer

Yasuto Takeuchi, Tomomi W. Nobashi, Shinji Naganawa, Hirohiko Imai, Yuji Nakamoto, Masako Kataoka, Maya Honda, Noriko Gotoh, Mami Iima, Motoki Akamatsu, Min‐Soo Kim, Hiroko Satake, A. Otani, D. LeBihan
article en

Abstract

Motivation: PARVA has emerged as a novel prognostic indicator in breast cancer stromal regions, but non-invasive assessment of this biomarker remains challenging. Goal(s): This study aims to investigate whether time-dependent diffusion parameters correlate with PARVA expression in breast cancer. Approach: Advanced DWI parameters (DKI, S-index, sADC) were estimated at multiple diffusion times (5-27.6ms) on breast cancer PDX mice models and compared with PARVA immunohistochemistry. Results: S-index, sADC and Kurtosis allowed to classify lesions as positive or negative for PARVA expression with high accuracy across all diffusion times. Impact: Advanced DWI parameters (Kurtosis, S-index, sADC) enables non-invasive assessment of the expression of biological markers linked to stromal organization in breast cancer.

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 65%
Advanced MRI Techniques and Applications
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