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磁共振体素内不相干运动扩散加权成像对鉴别胰腺神经内分泌肿瘤与胰腺导管腺癌的诊断价值。

The diagnostic value of intravoxel incoherent motion diffusion-weighted imaging for distinguishing nonhypervascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas.

机构信息

Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, Beijing, China.

Department of Radiology, Tsinghua University Hospital, 30 Shuangqing Road, Beijing 100084, Beijing, China.

出版信息

Eur J Radiol. 2022 May;150:110261. doi: 10.1016/j.ejrad.2022.110261. Epub 2022 Mar 17.

Abstract

PURPOSE

To primarily evaluate the diagnostic performance of the monoexponential and intravoxel incoherent motion (IVIM) diffusion weighted imaging (DWI) models for differentiating between nonhypervascular pancreatic neuroendocrine tumors (PNETs) and pancreatic ductal adenocarcinomas (PDACs).

METHODS

63 patients with PNETs (35 nonhypervascular PNETs and 28 hypervascular PNETs) and 164 patients with PDACs were retrospectively enrolled in the study and underwent multiple b-value DWI. Intraobserver and interobserver reliabilities of DWI parameters were assessed by using the intraclass correlation coefficient (ICC). The parameters of apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) of nonhypervascular PNETs were compared with PDACs and hypervascular PNETs using the independent sample t test or the Mann-Whitney U test. The diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis.

RESULTS

All DWI parameters values showed good to excellent intra- and interobserver agreements (ICC = 0.743-0.873). Nonhypervascular PNETs had significantly lower ADC and D, but significantly higher f than PDACs (P = 0.005, P < 0.001 and P < 0.001, respectively). ADC, D and f of nonhypervascular PNETs were lower than hypervascular PNETs (P = 0.001, <0.001 and 0.093, respectively). D* of nonhypervascular PNETs showed no statistically significant differences with PDACs and hypervascular PNETs (P = 0.809 and 0.420). D showed a higher area under the curve (AUC), followed by ADC and f (AUC = 0.885, 0.665 and 0.740, respectively) in differentiating nonhypervascular PNETs from PDACs.

CONCLUSION

Monoexponential and IVIM diffusion models are valuable to differentiate nonhypervascular PNETs from PDACs. D showed better performance than f and ADC.

摘要

目的

主要评估单指数和体素内不相干运动(IVIM)扩散加权成像(DWI)模型在鉴别非富血管性胰腺神经内分泌肿瘤(PNETs)和胰腺导管腺癌(PDACs)中的诊断性能。

方法

回顾性纳入 63 例 PNETs(35 例非富血管性 PNETs 和 28 例富血管性 PNETs)和 164 例 PDACs 患者,行多 b 值 DWI。采用组内相关系数(ICC)评估 DWI 参数的观察者内和观察者间可靠性。采用独立样本 t 检验或 Mann-Whitney U 检验比较非富血管性 PNETs 的表观扩散系数(ADC)、真实扩散系数(D)、假性扩散系数(D*)和灌注分数(f)与 PDACs 和富血管性 PNETs 的参数。采用受试者工作特征(ROC)曲线分析评估诊断性能。

结果

所有 DWI 参数值的观察者内和观察者间一致性均较好(ICC=0.743-0.873)。非富血管性 PNETs 的 ADC 和 D 明显低于 PDACs(P=0.005,P<0.001 和 P<0.001),f 明显高于 PDACs(P=0.005,P<0.001 和 P<0.001)。非富血管性 PNETs 的 ADC、D 和 f 均低于富血管性 PNETs(P=0.001,P<0.001 和 0.093)。非富血管性 PNETs 的 D*与 PDACs 和富血管性 PNETs 无统计学差异(P=0.809 和 0.420)。在鉴别非富血管性 PNETs 与 PDACs 方面,D 的曲线下面积(AUC)最高,其次是 ADC 和 f(AUC=0.885,0.665 和 0.740)。

结论

单指数和 IVIM 扩散模型有助于鉴别非富血管性 PNETs 与 PDACs。D 的性能优于 f 和 ADC。

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