Abstract #4003

Predicting the Degree of Differentiation of Pancreatic Cancer: A Comparative Study of Four MRI Diffusion Models

Ya Lan¹, Jie Chen², Jinggang Zhang², Fuyao Liu², Derui Hu², Qi Jiang², Mingming Yang², Yunzhu Wu³, Xu Yan³, and Guang Yang⁴

¹Changzhou Medical Center, Nanjing Medical University, Changzhou, China, ²The Third Affiliated Hospital of Soochow University, Changzhou, China, ³MR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China, ⁴Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

Synopsis

Keywords: Pancreas, Diffusion/other diffusion imaging techniques, Pancreatic ductal adenocarcinoma; FROC;CTRW;Differentiation

Motivation: This study aims to determine the value of diffusion kurtosis imaging (DKI), intro-voxel incoherent movement (IVIM), continuous-time random walk (CTRW), and fractional order calculus (FROC) in assessing the degree of differentiation of pancreatic cancer.

Goal(s): The objective is to identify the most effective quantitative diffusion metrics for assessing the degree of differentiation in pancreatic cancer.

Approach: Four MRI diffusion models were generated using DXI technology to quantitatively evaluate the degree of differentiation in pancreatic cancer.

Results: Significant differences were observed between the low-grade PDAC group and the high-grade PDAC group in terms of these metrics (K_DKI,α_CTRW,μ_FROC).

Impact: These advanced diffusion models hold potential as noninvasive tools for predicting the degree of differentiation in pancreatic cancer, facilitating personalized management strategies for patients with pancreatic ductal adenocarcinoma (PDAC).

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