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Abstract #0890

Differentiating Benign and Malignant Thyroid Nodules Using Time-Dependent Diffusion MRI

Huanhuan Ren1, Zongshu Wang2, Jiuquan Zhang1, Diwei Shi3, Daihong Liu1, Hua Guo4, Junzhong Xu5,6,7,8, Junhao Huang1, Hong Yu1, Yong Tan1, and Ting Yin9
1Chongqing University Cancer Hospital, Chongqing, China, 2Tanwei College,Tsinghua University, Beijing, China, 3Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China, 4Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China, 5Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 6Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 7Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 8Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States, 9MR Collaborations, Siemens Healthineers, Chengdu, China

Synopsis

Keywords: Biology, Models, Methods, Cancer

Motivation: The differential diagnosis between benign and malignant thyroid nodules is crucial for treatment planning and prognostic evaluation. However, there is no ideal method for distinguishing thyroid nodules.

Goal(s): To investigates whether microstructural parameters from time-dependent diffusion MRI (td-dMRI) can distinguish between benign and malignant thyroid lesions.

Approach: Thirty-two patients with thyroid nodules underwent td-dMRI prior to treatment. Microstructural parameters were fitted using the IMPULSED model for statistical analysis.

Results: The combined model based on td-dMRI showed high performance to select malignant lesions from benign thyroid nodules.

Impact: The combined model integrating apparent diffusion coefficient and microstructural parameters microstructural parameters based on td-dMRI holds potential to differentiate between benign and malignant thyroid nodules. This distinction is critically important for the diagnosis and management of thyroid nodules.

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Keywords