Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Virchow Klinikum, Augustenburger Platz 1, 13353, Berlin, Germany,
Eur Radiol. 2013 Oct;23(10):2846-53. doi: 10.1007/s00330-013-2886-y. Epub 2013 May 19.
To evaluate the diagnostic potential of a multi-factor analysis of morphometric parameters and signal characteristics of brain tumours and peritumoural areas for distinguishing WHO-grade II and III gliomas at magnetic resonance imaging (MRI).
MR examinations of 108 patients with histologically proven World Health Organization (WHO) grade II and III gliomas were included. Morphological criteria and MR signal characteristics were evaluated. The data were subjected to a multifactorial logistic regression analysis to differentiate between grade II and grade III gliomas. The discriminatory power was assessed by receiver operating characteristic (ROC).
Logistic regression analysis showed that WHO grade II and III can be distinguished based on contrast enhancement, cortical involvement, margin of the enhancing lesion and maximum diameter (width and length) of the peritumoural area (the so-called tumour infiltration zone). With the final model of logistic regression analysis and with the cut-off value ≥ 0.377, WHO grade III glioma is predicted with a sensitivity of 71.0 % and a specificity of 80.4 %.
Measurement of maximum diameter of peritumoural area, contrast enhancement as well as cortical involvement and the margin of the contrast-enhancing lesion can be used easily in clinical routine to adequately distinguish WHO grade II from grade III gliomas.
• MRI offers new information concerning WHO-grade II and III gliomas. • The differentiation between such tumour grades is important for therapeutic decisions. • We assessed differences in enhancement, cortical involvement, margins and peritumoural appearances. • WHO grade III gliomas can be predicted with reasonable sensitivity and specificity.
评估多因素分析脑肿瘤和肿瘤周围区域形态学参数和信号特征对磁共振成像(MRI)鉴别世界卫生组织(WHO)分级 II 和 III 级胶质瘤的诊断潜力。
纳入 108 例经组织学证实的 WHO 分级 II 和 III 级胶质瘤患者的 MRI 检查。评估形态学标准和 MRI 信号特征。对数据进行多因素逻辑回归分析,以区分 II 级和 III 级胶质瘤。通过接受者操作特征(ROC)评估鉴别能力。
逻辑回归分析显示,基于对比增强、皮质受累、增强病变边缘和肿瘤周围区域(所谓的肿瘤浸润区)的最大直径(宽度和长度)可以区分 WHO 分级 II 和 III。使用逻辑回归分析的最终模型和临界值≥0.377,可预测 WHO 分级 III 级胶质瘤的敏感性为 71.0%,特异性为 80.4%。
测量肿瘤周围区域的最大直径、对比增强以及皮质受累和增强病变边缘,可在临床常规中轻松用于充分区分 WHO 分级 II 和 III 级胶质瘤。
• MRI 提供了有关 WHO 分级 II 和 III 级胶质瘤的新信息。
• 区分这些肿瘤分级对于治疗决策很重要。
• 我们评估了增强、皮质受累、边缘和肿瘤周围表现的差异。
• WHO 分级 III 级胶质瘤的预测具有合理的敏感性和特异性。