Pancreatic Stiffness Quantified with MR Elastography: Relationship to Postoperative Pancreatic Fistula after Pancreaticoenteric Anastomosis.

Pancreatic Stiffness Quantified with MR Elastography: Relationship to Postoperative Pancreatic Fistula after Pancreaticoenteric Anastomosis.

Radiology. 2018 Apr 17;:170450

Authors: Shi Y, Liu Y, Gao F, Liu Y, Tao S, Li Y, Glaser KJ, Ehman RL, Guo Q

Abstract
Purpose To describe the relationship between conventional magnetic resonance (MR) imaging parameters and MR elastography of the pancreas in association with pancreatic histologic features and occurrence of postoperative pancreatic fistula (POPF). Materials and Methods Patients who underwent preoperative MR imaging (MR elastography and diffusion-, T1-, and T2-weighted imaging) followed by pancreatectomy with pancreaticoenteric anastomosis were included. The relationships between preoperative MR imaging parameters, demographic data, and intraoperative factors with POPF risk were analyzed with logistic regression analyses. The correlation of MR imaging parameters with histologic characteristics was evaluated with multivariate regression analysis. Results A total of 112 patients (64 men, 48 women; median age, 58 years) were evaluated. Forty-two patients (37.5%) developed POPF and 20 (17.9%) developed high-grade POPF (grades B and C). Lower pancreatic stiffness (≤1.43 kPa; odds ratio [OR], 9.196; 95% confidence interval [CI]: 1.92, 43.98), nondilated main pancreatic duct (MPD) diameter (<3 mm; OR, 7.298; 95% CI: 1.51, 35.34), and larger stump area (≥211 mm2; OR, 9.210; 95% CI: 1.53, 55.26) were risk factors for POPF. Lower pancreatic stiffness (≤1.27 kPa; OR, 8.389; 95% CI: 1.88, 37.41) was the only independent predictor of high-grade POPF. Log-transformed pancreatic stiffness was independently associated with fibrosis (β = 0.060; 95% CI: 0.052, 0.068), acinar atrophy (β = 0.015; 95% CI: 0.003, 0.028), and lipomatosis (β = -0.016; 95% CI: -0.026, -0.006). Conclusion Preoperative MR assessment of pancreatic stiffness, MPD diameter, and stump area are important predictors of POPF.

PMID: 29664337 [PubMed - as supplied by publisher]

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