Quantitative MRI of pancreatic parenchyma in intraductal papillary mucinous neoplasm: association with risk stratification based on guideline features
摘要
To investigate the association between quantitative MRI parameters of the pancreatic parenchyma and risk stratification of intraductal papillary mucinous neoplasm (IPMN).
Materials and methodsThis study included 235 participants: 163 with IPMN and 72 with a normal pancreas. IPMN cases were stratified into IPMN without guideline-based features (n = 111) and with guideline-based features (n = 52) groups based on the 2024 International Consensus Guidelines. The MRI parameters analyzed included pancreas-to-muscle signal intensity ratios on in-phase, opposed-phase, and T2-weighted images; apparent diffusion coefficient (ADC); proton density fat fraction (PDFF); and T1 and T2* relaxation times in the pancreatic head, body, and tail. Clinical data (age, sex, body mass index (BMI), HbA1c, bilirubin, amylase, and CA19-9) were collected. Associations with IPMN risk stratification were evaluated using Spearman’s rank correlation and univariate and multivariate logistic regression.
ResultsIn the pancreatic head, IPMN risk stratification showed significant correlations with age (p < 0.001), BMI (p < 0.001), HbA1c (p = 0.024), ADC (p = 0.025), PDFF (p = 0.008), and T1 relaxation time (p < 0.001). In the body and tail, risk stratification correlated with age (p < 0.001), BMI (p = 0.004), and T1 relaxation time (p < 0.001). In multivariate analysis, age, BMI, and T1 relaxation time were independent predictors of IPMN in both regions. T1 relaxation time significantly distinguished patients with and without guideline-based features in both regions (p < 0.001).
ConclusionT1 relaxation time is significantly associated with IPMN risk stratification and may serve as a valuable imaging biomarker.
Key Points