Abstract #2889

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

Mami Iima^1,2, Hirohiko Imai³, Marino Akamatsu⁴, Denis LeBihan^5,6, Minsoo Kim⁷, Noriko Gotoh⁸, Yasuto Takeuchi⁸, Tomomi W. Nobashi⁹, Masako Kataoka², Akito Otani⁴, Maya Honda^2,10, Hiroko Satake¹¹, Shinji Naganawa¹¹, and Yuji Nakamoto²

¹Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University Graduate School of Medicine, Nagoya, Japan, ²Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, ³Department of Systems science, Graduate School of Informatics, Kyoto University, Kyoto, Japan, ⁴Kyoto University Faculty of Medicine, Kyoto, Japan, ⁵Kyoto University Graduate School of Medicine, Kyoto, Japan, ⁶CEA-Saclay, Paris-Saclay University, NeuroSpin, Gif/Yvette, France, ⁷Laboratory of Integrative Molecular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, ⁸Cancer Research Institute, Kanazawa University, Kanazawa, Japan, ⁹Preemptive Medicine and Lifestyle Related Disease Research Center, Kyoto University Hospital, Kyoto, Japan, ¹⁰Kansai Electricity Hospital, Osaka, Japan, ¹¹Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan

Synopsis

Keywords: 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.

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