The value of 18F-FDG PET-CT in predicting relapse of type 1 autoimmune pancreatitis / 中华胰腺病杂志

ABSTRACT

Objective:To investigate the predictive value of F-2-fluoro-2-deoxy-D-glucose ( 18F-FDG) PET-CT metabolic parameters for the recurrence of type 1 autoimmune pancreatitis (AIP). Methods:Eighty-six patients with type 1 AIP who met the International Consensus Diagnostic Criteria (ICDC) and underwent 18F-FDG PET-CT before interventional treatment at the PLA General Hospital between May 2009 and June 2021 were included and divided into recurrence group ( n=43) and no-recurrence group ( n=43) according to whether they recurred after treatment. The standard uptake value (SUV)≥2.5 fixed threshold was used to outline the pancreatic lesion volume of interest (VOI) in three dimensions, and the three-dimensional diameter of the lesion, maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), peak standardized uptake value (SUVpeak), metabolic tumor volume (MTV), total lesion glycolysis (TLG), target-to-bench ratio (TBR) and standardized uptake value ratio (SUVR) were measured to compare the clinical characteristics, biochemical indices and treatment of the two groups; univariate and multifactorial regression analysis were used to examine 18F-FDG PET/CT visual indices of pancreatic lesions and extra-pancreatic involved organs as well as metabolic parameters in the two groups. A recurrence prediction model was constructed and its predictive efficacy was assessed. Results:The proportion of patients receiving glucocorticoid maintenance therapy was significantly higher in the no-recurrence group than in the recurrence group (58% vs 23.3%), and the serum IgG4 levels before treatment were significantly higher in the recurrence group [(15 309±11 724) mg/L vs (8 816±7 169) mg/L]. The results of univariate analysis showed that the proportion of extra-pancreatic salivary gland involvement and VOI, SUVmax, SUVpeak, SUVR, TBR, MTV, and TLG were significantly higher in the recurrence group than in the no-recurrence group, and the differences were statistically significant (all P values <0.05); the results of multivariate analysis showed that VOI ( OR=1.012, 95% CI 1.001-1.023 ), SUV max ( OR=1.398, 95% CI 1.029-1.899), SUV peak ( OR=1.408, 95% CI1.002-1.978), SUVR ( OR=1.977, 95% CI1.036-3.771) and MTV ( OR=1.012, 95% CI1.000- 1.022) in the recurrence group were significantly higher than those in the no-recurrence group, and all differences were statistically significant (all P values <0.05). The prediction model was constructed by multifactorial binary logistic regression analysis of SUVR>2, MTV>36 cm 3, and IgG4>11 400 mg/L, which had an AUC of 0.800 (95% CI 0.704-0.897), sensitivity of 81.4% (95% CI 0.661-0.911), specificity of 74.4% (95% CI 0.585-0.860), and prediction accuracy of 77.9%. Conclusions:18F-FDG PET/CT metabolic parameters can be used as predictors of type 1 AIP recurrence; a multiparameter model constructed based on metabolic parameters SUVR, MTV and IgG4 has a good predictive efficacy for predicting type 1 AIP recurrence.