Proposal of a Preoperative CT-Based Score to Predict the Risk of Clinically Relevant Pancreatic Fistula after

Marius Lucian Savin1,2, Florin Mihai1,2, Liliana Gheorghe1,2

  • 1"Gr. T. Popa" University of Medicine and Pharmacy, 700115 Iasi, Romania.

Insights

Preoperative CT scans can predict pancreatic fistula after surgery. Morphologic parameters like pancreatic duct caliber and remnant volume help assess risk, improving patient outcomes.

Area of Science:

  • Radiology
  • Gastroenterology
  • Surgical Oncology

Background:

  • Postoperative pancreatic fistula (POPF) is a major complication of cephalic pancreatoduodenectomy (CPD).
  • POPF leads to increased morbidity, prolonged hospital stays, and higher healthcare costs.
  • Accurate prediction of POPF risk is crucial for patient management.

Purpose of the Study:

  • To evaluate the utility of preoperative multisequence computed tomography (CT) scan morphologic parameters in predicting clinically relevant postoperative pancreatic fistula (CRPF).
  • To develop a risk score based on CT-derived parameters for CRPF prediction using multiple regression analysis.

Main Methods:

  • Analysis of preoperative CT scans from 78 patients undergoing CPD.
  • Measurement of pancreatic and liver density, main pancreatic duct (MPD) caliber, and estimated pancreatic remnant volume (ERPV).
  • Correlation of parameters with CRPF using univariate and logistic regression, with ROC analysis for score validation.

Main Results:

  • Significant differences in unenhanced pancreatic density (UPD), delayed pancreatic density, unenhanced liver density (UDL), MPD caliber, and ERPV between CRPF and non-CRPF groups.
  • Development of two risk scores using MPD and ERPV, with either UPD or UDL as the third variable.
  • Achieved areas under the ROC curve (AUC) of 0.846 and 0.774 for the proposed scores, indicating good predictive accuracy.

Conclusions:

  • Preoperative CT imaging is a valuable tool for predicting the risk of CRPF after CPD.
  • Incorporating morphologic CT parameters into risk scores can aid in identifying high-risk patients.
  • This approach may facilitate personalized perioperative management strategies to mitigate POPF complications.

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