Abstract #0896

A multivariate model of IVIM-DWI in preoperative diagnosis of tumor budding grade in rectal cancer

Junyi Fu¹, Chenglong Zhao², Gesheng Song¹, Guangying Zheng³, Dmytro Pylypenko⁴, and Aiyin Li¹

¹Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Shandong Institute of Neuroimmunology, Jinan, China, ²Department of Pathology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Shandong Institute of Nephrology, Jinan, China, ³Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China, ⁴GE Healthcare, MR Research China, Beijing, Beijing, China

Synopsis

Keywords: DWI/DTI/DKI, Quantitative Imaging

Motivation: TB is an independent prognostic risk factor for rectal cancer, but it cannot currently be assessed preoperatively.

Goal(s): We aim to use MRI for a non-invasive preoperative evaluation of TB grade, enabling the development of personalized treatment strategies for patients.

Approach: Application of a multi b-value diffusion-weighted imaging (DWI-IVIM) model combined with clinical features to evaluate tumor budding (TB) grading of rectal cancer.

Results: The results demonstrate that the combined model, incorporating multiple IVIM mathematical models, shows strong discriminatory ability for TB grading.

Impact: This study highlights the potential of combining multi b-value DWI-IVIM with clinical features for non-invasive preoperative grading of tumor budding in rectal cancer, enabling more personalized treatment strategies and improving prognostic accuracy for patient outcomes.

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