Abstract #0207

The diagnostic performance of time-dependent diffusion MRI in differentiating benign and malignant breast tumors

Jie Lu¹, Xue Li^2,3, Haotian Li¹, Kuiyuan Liu¹, Chunmei Li^2,3, Min Chen^2,3, and Dan Wu¹

¹Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, ²Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China, ³Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China

Synopsis

Keywords: Breast, Tumor, diffusion-time-dependence

Motivation: Diffusion-time-dependent diffusion MRI (td-dMRI) has potential in noninvasive mapping of breast tumor microstructure. However, its diagnostic value in differentiating benign and malignant tumors remains unclear, especially including transcytolemmal water exchange.

Goal(s): To investigate the clinical value of td-dMRI-based microstructural mapping for discriminating benign and malignant breast tumors.

Approach: Time-dependent dMRI data acquired with OGSE and PGSE sequences were estimated with the JOINT models.

Results: The td-dMRI-based f_in, cellularity and τ_in showed significant group differences between benign and malignant breast tumors. The combination of cellularity and τ_in indices achieved the highest diagnostic performance, with an accuracy of 94% and AUC of 0.958.

Impact: The diagnostic performance of cellularity-τ_in obtained from td-dMRI was comparable with or superior to previous studies. The 7.5-minute protocol is translatable to clinical diagnostics.

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