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Abstract #2895

Predicting Postoperative Pancreatic Fistula after Pancreatoduodenectomy using Continuous-Time Random-Walk DWI and Virtual MR Elastography

Wei Cai1, Yong-Jian Zhu1, Xin-ming Zhao1, Yueluan Jiang2, and Deng-Feng Li1
1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy, Beijing, China, 2MR Research Collaboration Team, Siemens Healthineers Ltd. Beijing, China, Beijing, China

Synopsis

Keywords: Pancreas, DWI/DTI/DKI

Motivation: Clinically relevant postoperative pancreatic fistula (CR-POPF) is one of the most threatening complications after pancreatoduodenectomy, and there remains challenging to accurate predict CR-POPF preoperatively.

Goal(s): To investigate the value of continuous-time random-walk (CTRW) and virtual MR elastography (vMRE) in predicting CR-POPF after pancreatoduodenectomy in pancreatic ductal adenocarcinoma.

Approach: Independent quantitative parameter from CTRW and vMRE associated with CR-POPF were identified, and a combined prediction model were built.

Results: CTRW_β (OR = 7223.62), CTRW_Dm (OR = 3117.57), and vMRE_μDiff (OR = 6.60) were independent preoperative predictors of CR-POPF (all p < 0.05). The combined model demonstrated satisfied performance with an AUC of 0.866.

Impact: Non-Gaussian diffusion model CTRW and vMRE techniques exhibited the ability in predicting CR-POPF preoperatively, and their combination could improve the predictive performance. Our prediction model may help clinicians adopt appropriate prevention or mitigation strategies to reduce the probability of CR-POPF.

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