Schad L R, Schmitt H P, Oberwittler C, Lorenz W J
Med Inform (Lond). 1987 Jan-Mar;12(1):11-22. doi: 10.3109/14639238709010036.
Ninety-three astrocytomas from biopsy material including glioblastomas ('astrocytomas grade 4') were graded according to Kernohan (1949) by light microscopy. Feulgen sections were subjected to an automated microscopic analysis to obtain morphometric-densitometric data of the tumour cell nuclei. These quantitative and reproducible data showed a significant correlation with malignancy expressed in terms of Kernohan and prove automated image analysis to be a valuable tool in the grading of gliomas. This is in particular true if the nuclear parameters determined by image analysis are completed by histologic features which were recorded semiquantitatively by subjective light microscopic evaluation as is usual in clinic pathologic diagnosis of brain tumours. A quadratic discriminant analysis of morphometric-densitometric data of tumour cell nuclei and semiquantitative microscopic data gave a 94% agreement with subjective grading.
对取自活检材料的93例星形细胞瘤（包括胶质母细胞瘤，即“4级星形细胞瘤”），依据Kernohan（1949年）的标准通过光学显微镜进行分级。福尔根切片进行自动显微镜分析，以获取肿瘤细胞核的形态计量-密度测定数据。这些定量且可重复的数据与以Kernohan标准表示的恶性程度显著相关，证明自动图像分析是胶质瘤分级中的一项有价值工具。如果通过图像分析确定的核参数由组织学特征补充完善，而这些组织学特征如同脑肿瘤临床病理诊断中常用的那样通过主观光学显微镜评估进行半定量记录，情况尤其如此。对肿瘤细胞核的形态计量-密度测定数据和半定量显微镜数据进行二次判别分析，结果与主观分级的符合率达94%。
