Mihara F, Numaguchi Y, Rothman M, Sato S, Fiandaca M S
Department of Diagnostic Radiology, University of Maryland Medical System, USA.
Radiat Med. 1995 Jan-Feb;13(1):5-9.
Using multiple regression analysis, six MR parameters were correlated with three histological grades among 43 proven adult supratentorial astrocytic gliomas to ascertain important MR parameters and their optimal contributions. Analysis revealed that two parameters, border definition and tumor hemorrhage, were unreliable. Using the remaining four parameters an equation was derived: Tumor grade = 0.32 (ring enhancement) +0.29 (degree of contrast enhancement) +0.13 (heterogeneity) +0.12 (edema) +0.41. Ring enhancement was the most reliable predictor of tumor grade, followed by degree of contrast enhancement. The maximum accuracies of the "semi-automatic" approach using this equation for predicting low-grade astrocytomas, anaplastic astrocytomas, and glioblastoma multiforme were 91%, 83%, and 88%, respectively. Although "semi-automatic" grading provided relatively high accuracy, possible sampling errors and some atypical cases reduced such accuracy.
运用多元回归分析,对43例经证实的成人幕上星形细胞胶质瘤的六个磁共振成像(MR)参数与三种组织学分级进行相关性分析,以确定重要的MR参数及其最佳贡献。分析显示,边界清晰度和肿瘤出血这两个参数不可靠。利用其余四个参数得出一个方程:肿瘤分级 = 0.32(环形强化)+0.29(对比增强程度)+0.13(异质性)+0.12(水肿)+0.41。环形强化是肿瘤分级最可靠的预测指标,其次是对比增强程度。使用该方程的“半自动”方法预测低级别星形细胞瘤、间变性星形细胞瘤和多形性胶质母细胞瘤的最大准确率分别为91%、83%和88%。尽管“半自动”分级提供了相对较高的准确率,但可能的抽样误差和一些非典型病例降低了这种准确率。