| 张海莲,李洋洋,程丹,李俊杰,王润强.常规MRI表现及影像组学鉴别颅脑上皮样胶质母细胞瘤与多形性黄色瘤型星形细胞瘤[J].中国医学影像技术,2024,40(10):1471~1475 |
| 常规MRI表现及影像组学鉴别颅脑上皮样胶质母细胞瘤与多形性黄色瘤型星形细胞瘤 |
| Conventional MRI manifestations and radiomics for differentiating brain epithelioid glioblastoma and pleomorphic xanthoastrocytoma |
| 投稿时间：2024-05-22 修订日期：2024-08-04 |
| DOI：10.13929/j.issn.1003-3289.2024.10.004 |
| 中文关键词: 脑肿瘤 胶质瘤 磁共振成像 影像组学 |
| 英文关键词:brain neoplasms glioma magnetic resonance imaging radiomics |
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| 中文摘要: |
| 目的 观察颅脑上皮样胶质母细胞瘤(eGBM)和多形性黄色瘤型星形细胞瘤(PXA)常规MRI表现差异,评估影像组学模型鉴别二者的价值。方法 回顾性分析经手术病理证实的43例颅脑eGBM(eGBM组)及79例PXA(PXA组),比较组间常规MRI特征差异。以7:3比例将患者分为训练集(85例,包括30例eGBM和55例PXA)及测试集(37例,包括13例eGBM和24例PXA),基于T2WI和增强T1WI构建影像组学回归模型,绘制受试者工作特征曲线评价模型鉴别eGBM与PXA的价值。结果 eGBM组患者年龄大于PXA组,未成年人占比低于PXA组(P均＜0.05)。与PXA组相比,eGBM组多发病灶、T1WI高信号及瘤周水肿占比更高,病灶边界更不清楚、信号更不均匀(P均＜0.05)。增强后GBM组环形强化占比相对较高,而PXA组壁结节强化占比相对较高(P均＜0.05)。基于19个特征所构建的影像组学模型鉴别训练集eGBM与PXA的敏感度为88.91%,特异度为79.94%,准确率为86.75%,曲线下面积(AUC)为0.892;测试集中敏感度为84.58%,特异度为79.20%,准确率为81.12%,AUC为0.824。结论 eGBM与PXA常规MRI表现存在差异;影像组学模型鉴别eGBM与PX具有较好价值。 |
| 英文摘要: |
| Objective To compare conventional MRI manifestations of brain epithelioid glioblastoma (eGBM) and pleomorphic xanthoastrocytoma (PXA), and to explore the value of radiomics model for differentiating eGBM and PXA. Methods Forty-three cases of brain eGBM (eGBM group) and 79 cases of PXA (PXA group) confirmed by surgical pathology were retrospectively analyzed, and conventional MRI maniofestations were compared between groups. The patients were divided into training set (n=85, including 30 cases of eGBM and 55 cases of PXA) and test set (n=37, including 13 cases of eGBM and 24 cases of PXA) at the ratio of 7:3. A radiomics regression model was established based on T2WI and enhanced T1WI. Receiver operating characteristic curve was drawn to assess the value of the model for discriminating eGBM and PXA. Results Patients in eGBM group were older than in PXA group, and the proportion of minors in eGBM group was lower than that in PXA group (both P＜0.05). Compared with PXA group, eGBM group showed higher proportion of multiple lesions, with high T1WI signals and peritumoral edema, more unclear boundary and uneven signals (all P＜0.05). After administration of contrast agents, circular enhancement was more often observed in eGBM group, while lesions in PXA group tended to present wall nodule enhancement (both P＜0.05). The sensitivity, specificity, accuracy and area under the curve (AUC) of the radiomics model based on 19 selected features was 88.91%, 79.94%, 86.75% and 0.892 in training set, respectively, which was 84.58%, 79.20%, 81.12% and 0.824 in test set, respectively. Conclusion Conventional MRI manifestations of eGBM and PXA were different to a certain extent. Radiomics model was valuable for distinguishing eGBM and PXA. |
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