Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps
Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps
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DOI：
10.1148/radiol.2473070571
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发表时间：
2008-06-01
期刊：
影响因子：
19.7
通讯作者：
Bjornerud, Atle
中科院分区：
文献类型：
--
作者：
Emblem, Kyrre E.;Nedregaard, Baard;Bjornerud, Atle
目的：回顾性比较用于胶质瘤分级的替代方法的诊断准确性，该方法基于对整个肿瘤体积的标准化脑血容量（CBV）值（通过直方图方法获得）的直方图分析与热点方法的诊断准确性，以组织学分析作为参考标准。材料和方法：医学伦理委员会批准了本研究，所有患者均提供了知情同意。53例（24例女性，29例男性;平均年龄，48岁;年龄范围，14-76岁）经组织学证实的胶质瘤患者进行了动态对比剂增强1.5 T磁共振（MR）成像检查。创建CBV图并将其归一化为未受影响的白色物质（归一化CBV图）。四名神经放射科医生独立测量了全肿瘤标准化CBV的分布，并通过将值分类到面积标准化箱中来分析该分布。通过评估直方图分布的归一化峰高进行胶质瘤分级。Logistic回归分析和观察者之间的协议被用来比较所提出的方法与热点的方法，其中只有最大归一化CBVwas used.Results：直方图的方法，诊断准确性是独立的观察者。直方图法的观察者间一致性几乎完美（kappa = 0.923），热点法的一致性中等（kappa = 0.559）。对于所有观察者，敏感性与直方图方法（90%）高于热点方法（55%-76%）。结论：胶质瘤分级的直方图分析的基础上归一化CBV异质性是一种替代建立热点方法，因为它提供了更高的诊断准确性和观察者之间的协议。(C)RSNA，2008年。
Purpose: To retrospectively compare the diagnostic accuracy of an alternative method used to grade gliomas that is based on histogram analysis of normalized cerebral blood volume (CBV) values from the entire tumor volume (obtained with the histogram method) with that of the hot-spot method, with histologic analysis as the reference standard.Materials and Methods: The medical ethics committee approved this study, and all patients provided informed consent. Fifty-three patients (24 female, 29 male; mean age, 48 years; age range, 14-76 years) with histologically confirmed gliomas were examined with dynamic contrast material-enhanced 1.5-T magnetic resonance (MR) imaging. CBV maps were created and normalized to unaffected white matter (normalized CBV maps). Four neuroradiologists independently measured the distribution of whole-tumor normalized CBVs and analyzed this distribution by classifying the values into area-normalized bins. Glioma grading was performed by assessing the normalized peak height of the histogram distributions. Logistic regression analysis and interobserver agreement were used to compare the proposed method with a hot-spot method in which only the maximum normalized CBV was used.Results: For the histogram method, diagnostic accuracy was independent of the observer. Interobserver agreement was almost perfect for the histogram method (kappa = 0.923) and moderate for the hot-spot method (kappa = 0.559). For all observers, sensitivity was higher with the histogram method (90%) than with the hot-spot method (55%-76%).Conclusion: Glioma grading based on histogram analysis of normalized CBV heterogeneity is an alternative to the established hot-spot method, as it offers increased diagnostic accuracy and interobserver agreement. (C) RSNA, 2008.