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用于区分高低级别脑膜瘤的直方图分析参数:表观扩散系数的多中心研究。

Histogram Analysis Parameters Apparent Diffusion Coefficient for Distinguishing High and Low-Grade Meningiomas: A Multicenter Study.

作者信息

Surov Alexey, Ginat Daniel T, Lim Tchoyoson, Cabada Teresa, Baskan Ozdil, Schob Stefan, Meyer Hans Jonas, Gihr Georg Alexander, Horvath-Rizea Diana, Hamerla Gordian, Hoffmann Karl Titus, Wienke Andreas

机构信息

Department of Radiology, Martin-Luther-University Halle-Wittenberg, Germany; Department of Diagnostic and Interventional Radiology, University of Leipzig, Germany.

University of Chicago, Pritzker School of Medicine, Chicago, IL, USA.

出版信息

Transl Oncol. 2018 Oct;11(5):1074-1079. doi: 10.1016/j.tranon.2018.06.010. Epub 2018 Jul 11.

Abstract

Low grade meningiomas have better prognosis than high grade meningiomas. The aim of this study was to measure apparent diffusion coefficient (ADC) histogram analysis parameters in different meningiomas in a large multicenter sample and to analyze the possibility of several parameters for predicting tumor grade and proliferation potential. Overall, 148 meningiomas from 7 institutions were evaluated in this retrospective study. Grade 1 lesions were diagnosed in 101 (68.2%) cases, grade 2 in 41 (27.7%) patients, and grade 3 in 6 (4.1%) patients. All tumors were investigated by MRI (1.5 T scanner) by using diffusion weighted imaging (b values of 0 and 1000 s/mm). For every lesion, the following parameters were calculated: mean ADC, maximum ADC, minimum ADC, median ADC, mode ADC, ADC percentiles P10, P25, P75, P90, kurtosis, skewness, and entropy. The comparison of ADC values was performed by Mann-Whitney-U test. Correlation between different ADC parameters and KI 67 was calculated by Spearman's rank correlation coefficient. Grade 2/3 meningiomas showed statistically significant lower ADC histogram analysis parameters in comparison to grade 1 tumors, especially ADC median. A threshold value of 0.82 for ADC median to predict tumor grade was estimated (sensitivity = 82.2%, specificity = 63.8%, accuracy = 76.4%, positive and negative predictive values were 83% and 62.5%, respectively). All ADC parameters except maximum ADC showed weak significant correlations with KI 67, especially ADC P25 (P = -.340, P = .0001).

摘要

低级别脑膜瘤的预后优于高级别脑膜瘤。本研究的目的是在一个大型多中心样本中测量不同脑膜瘤的表观扩散系数(ADC)直方图分析参数,并分析多个参数预测肿瘤分级和增殖潜能的可能性。总体而言,本回顾性研究评估了来自7家机构的148例脑膜瘤。101例(68.2%)为1级病变,41例(27.7%)为2级病变,6例(4.1%)为3级病变。所有肿瘤均采用1.5T扫描仪进行MRI检查,使用扩散加权成像(b值为0和1000s/mm²)。对于每个病变,计算以下参数:平均ADC、最大ADC、最小ADC、中位ADC、众数ADC、ADC百分位数P10、P25、P75、P90、峰度、偏度和熵。ADC值的比较采用曼-惠特尼-U检验。不同ADC参数与KI 67之间的相关性通过Spearman等级相关系数计算。与1级肿瘤相比,2/3级脑膜瘤的ADC直方图分析参数在统计学上显著更低,尤其是ADC中位数。估计ADC中位数预测肿瘤分级的阈值为0.82(敏感性=82.2%,特异性=63.8%,准确性=76.4%,阳性和阴性预测值分别为83%和62.5%)。除最大ADC外,所有ADC参数均与KI 67呈弱显著相关性,尤其是ADC P25(P=-0.340,P=0.0001)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e29/6067084/d985cee7b75d/gr1.jpg

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