Abstract #0556

Improving Breast Cancer Diagnosis by Incorporating Transcytolemmal Water Exchange in Time-dependent Diffusion MRI

Fan Liu¹, Lei Wu², Xinyi Luo³, Sisi Li⁴, Yishi Wang⁴, Thorsten Feiweier⁵, Haihua Bao², Diwei Shi⁶, Junzhong Xu^7,8,9, and Hua Guo¹

¹Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China, ²Qinghai University Affiliated Hospital, Xining, China, ³Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China, ⁴MR Research Collaboration Team, Siemens Healthineers Ltd., Beijing, China, ⁵MR Research Collaboration Team, Siemens Healthineers Ltd., Erlangen, Germany, ⁶Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China, ⁷Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, ⁸Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States, ⁹Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States

Synopsis

Keywords: Breast, Breast

Motivation: Microstructural imaging based on IMPULSED is effective in predicting breast cancer molecular subtypes. However, IMPULSED ignored transcytolemmal water exchange.

Goal(s): To evaluate the effect of water exchange on the identification of breast cancer molecular subtypes.

Approach: Time-dependent diffusion MRI was conducted on breast cancer patients. Microstructural parameters were extracted from the dMRI signals by IMPULSED, JOINT and EXCHANGE, respectively. The performance of molecular subtyping was compared across the three models.

Results: Incorporating water exchange into dMRI signal analysis improved the performance in predicting PR, HER2 and Ki67 status, as well as identifying HER2-enriched subtype.

Impact: Our findings proved that transcytolemmal water exchange impact breast cancer diagnosis, highlighting the importance of model selection of time-dependent diffusion MRI tailored to a specific clinical task.

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