Evaluation of Pancreatic Fibrosis Grading by Multiparametric Quantitative Magnetic Resonance Imaging.

Abstract

Early detection and grading of pancreatic fibrosis (PF) are important and challenging clinical goals. To determine main pancreatic duct (MPD) diameter, pancreatic thickness, and grades of PF via magnetic resonance elastography (MRE), T1 mapping, and intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI), assessing respective diagnostic performances. Prospective. Histopathologic and imaging records (MRE, T1 mapping, and IVIM-DWI) generated by 144 patients between December 2018 and May 2020 were collected for analysis. Grades of PF were distributed as follows: F0, 82; F1, 22; F2, 22; and F3, 18. 3 T pancreatic MRI, encompassing MRE, T1 mapping, and IVIM-DWI. In all patients, T1 relaxation times, pancreatic stiffness values, IVIM-DWI parameters, MPD diameter, and pancreatic thickness were measured. Receiver operating characteristic (ROC) analysis served to assess imaging parameters useful in diagnosing PF. To identify relations between specific parameters and grades of PF, logistic regression analysis was invoked. Both pancreatic stiffness (r=0.754; P < 0.001) and T1 relaxation time (r=0.433; P < 0.001) correlated significantly with PF (%). To determine PF grades ≥F1, a combined model (area under the curve [AUC]=0.906) performed significantly better than pancreatic stiffness (AUC=0.855; P < 0.001) or T1 relaxation time (AUC=0.754; P < 0.001) alone. For PF grades ≥F2 or grade F3, both the combined model (≥F2: AUC=0.910; F3: AUC=0.939) and pancreatic stiffness (≥F2: AUC=0.906; F3: AUC=0.929) outperformed T1 relaxation time (≥F2: AUC=0.768 [P=0.005 and P=0.004, respectively]; F3: AUC=0.816 [both P < 0.005]). All IVIM-DWI parameters generated AUC values <0.700. A combination of MRE and T1 mapping seems promising in diagnosing various grades of PF, particularly at an early stage. 1 TECHNICAL EFFICACY: Stage 2.