Department of Neurosurgery and Laboratory of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, Gansu, China.
Institute of Neurology, Lanzhou University, Lanzhou, Gansu, China.
Neurosurg Rev. 2024 May 25;47(1):235. doi: 10.1007/s10143-024-02482-1.
This study investigated the value of whole tumor apparent diffusion coefficient (ADC) histogram parameters and magnetic resonance imaging (MRI) semantic features in predicting meningioma progesterone receptor (PR) expression.
The imaging, pathological, and clinical data of 53 patients with PR-negative meningiomas and 52 patients with PR-positive meningiomas were retrospectively reviewed. The whole tumor was outlined using Firevoxel software, and the ADC histogram parameters were calculated. The differences in ADC histogram parameters and MRI semantic features were compared between the two groups. The predictive values of parameters for PR expression were assessed using receiver operating characteristic curves. The correlation between whole-tumor ADC histogram parameters and PR expression in meningiomas was also analyzed.
Grading was able to predict the PR expression in meningiomas (p = 0.012), though the semantic features of MRI were not (all p > 0.05). The mean, Perc.01, Perc.05, Perc.10, Perc.25, and Perc.50 histogram parameters were able to predict meningioma PR expression (all p < 0.05). The predictive performance of the combined histogram parameters improved, and the combination of grade and histogram parameters provided the optimal predictive value, with an area under the curve of 0.849 (95%CI: 0.766-0.911) and sensitivity, specificity, ACC, PPV, and NPV of 73.08%, 81.13%, 77.14%, 79.20%, and 75.40%, respectively. The mean, Perc.01, Perc.05, Perc.10, Perc.25, and Perc.50 histogram parameters were positively correlated with PR expression (all p < 0.05).
Whole tumor ADC histogram parameters have additional clinical value in predicting PR expression in meningiomas.
本研究旨在探讨全肿瘤表观扩散系数（ADC）直方图参数和磁共振成像（MRI）语义特征在预测脑膜瘤孕激素受体（PR）表达中的价值。
回顾性分析了 53 例 PR 阴性脑膜瘤和 52 例 PR 阳性脑膜瘤患者的影像学、病理学和临床资料。使用 Firevoxel 软件勾画全肿瘤，计算 ADC 直方图参数。比较两组 ADC 直方图参数和 MRI 语义特征的差异。采用受试者工作特征曲线评估参数对 PR 表达的预测价值。分析脑膜瘤全肿瘤 ADC 直方图参数与 PR 表达的相关性。
分级能够预测脑膜瘤的 PR 表达（p=0.012），而 MRI 的语义特征不能（p>0.05）。平均、Perc.01、Perc.05、Perc.10、Perc.25 和 Perc.50 直方图参数均能预测脑膜瘤 PR 表达（均 p<0.05）。直方图参数联合分级的预测性能有所提高，且联合分级和直方图参数提供了最佳预测值，曲线下面积为 0.849（95%CI：0.766-0.911），灵敏度、特异度、准确性、阳性预测值和阴性预测值分别为 73.08%、81.13%、77.14%、79.20%和 75.40%。平均、Perc.01、Perc.05、Perc.10、Perc.25 和 Perc.50 直方图参数与 PR 表达呈正相关（均 p<0.05）。
全肿瘤 ADC 直方图参数在预测脑膜瘤 PR 表达方面具有附加的临床价值。
