Evaluation of Pancreatic Fibrosis Grading by Multiparametric Quantitative Magnetic Resonance Imaging

盒内非相干运动 医学 接收机工作特性 磁共振成像 胰管 分级(工程) 弹性成像 磁共振弹性成像 核医学 曲线下面积 胰腺 曲线下面积 放射科 磁共振弥散成像 超声波 内科学 药代动力学 工程类 土木工程
作者
Chang Liu,Yu Shi,Gongyu Lan,Youli Xu,Fei Yang
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:54 (5): 1417-1429 被引量:24
标识
DOI:10.1002/jmri.27626
摘要

Background Early detection and grading of pancreatic fibrosis (PF) are important and challenging clinical goals. Purpose 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. Study Type Prospective. Subjects 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. Field Strength/Sequence 3 T pancreatic MRI, encompassing MRE, T1 mapping, and IVIM‐DWI. Assessment In all patients, T1 relaxation times, pancreatic stiffness values, IVIM‐DWI parameters, MPD diameter, and pancreatic thickness were measured. Statistical Tests 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. Results 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. Data Conclusion A combination of MRE and T1 mapping seems promising in diagnosing various grades of PF, particularly at an early stage. Level of Evidence 1 Technical Efficacy Stage 2
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