Department of Magnetic Resonance Imaging (MRI), First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Department of Neurosurgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland).
Med Sci Monit. 2019 Aug 7;25:5886-5891. doi: 10.12659/MSM.915398.
BACKGROUND To determine if histograms of ADC can be used to differentiate ventricular ependymomas, choroid plexus papillomas (CPPs), and central neurocytomas (CNCs). MATERIAL AND METHODS We retrospectively reviewed records from 185 patients from 1 January 2014 to 1 November 2018. We finally included a total of 60 patients: 36 (60.00%) had histologically confirmed ependymomas, 10 (16.67%) had CPPs, and 14 (23.33%) had CNCs, as determined by routine MRI scanning at 3.0T. The ADC histogram features were derived and then compared by Kruskal-Wallis test (they were not normally distributed). Bonferroni test was used to compare the 2 groups and then we determined the ROC. RESULTS Ependymomas had significantly higher mean, perc.01%, perc.10%, perc.50%, perc.90%, and perc.99% than CNCs. Ependymomas had significantly lower skewness than CNCs. Histogram metrics derived from mean, perc.01%, perc.10%, perc.50%, and perc.90% were significantly lower in the CNCs group than in the CPPs group. CPPs showed significantly lower skewness than CNCs. A threshold value of 86.50 for perc.50% to predict ependymomas from CNCs was estimated (AUC=0.97, sensitivity=97.20%, specificity=85.70%). Optimal diagnostic performance to predict CPPs from CNCs (AUC=0.96, sensitivity=100.00%, specificity=85.70%) was obtained when setting Perc.50%=84.00 as the threshold value. CONCLUSIONS The ADC histogram analysis may help to discriminate ependymomas, CPPs, and CNCs.
为了确定 ADC 直方图是否可用于区分脑室室管膜瘤、脉络丛乳头状瘤（CPPs）和中枢神经细胞瘤（CNCs）。
我们回顾性分析了 2014 年 1 月 1 日至 2018 年 11 月 1 日期间的 185 名患者的记录。最终共纳入 60 名患者：36 名（60.00%）的组织学检查结果为室管膜瘤，10 名（16.67%）的为 CPPs，14 名（23.33%）的为 CNCs，这些结果是通过 3.0T 常规 MRI 扫描确定的。通过 Kruskal-Wallis 检验（数据不是正态分布）得到 ADC 直方图特征，然后进行比较。采用 Bonferroni 检验对两组进行比较，然后确定 ROC。
与 CNCs 相比，室管膜瘤的平均 ADC 值、perc.01%、perc.10%、perc.50%、perc.90%和 perc.99%明显更高。室管膜瘤的偏度明显低于 CNCs。从均值、perc.01%、perc.10%、perc.50%和 perc.90%得出的直方图指标在 CNCs 组明显低于 CPPs 组。CPPs 的偏度明显低于 CNCs。当设定 perc.50%=86.50 时，可预测 CNCs 为室管膜瘤的截断值（AUC=0.97，敏感度=97.20%，特异性=85.70%）。当设定 perc.50%=84.00 为截断值时，预测 CNCs 为 CPPs 的最佳诊断性能（AUC=0.96，敏感度=100.00%，特异性=85.70%）。
ADC 直方图分析有助于鉴别室管膜瘤、CPPs 和 CNCs。
