使用Quantimet 720图像分析计算机对星形细胞瘤进行分级。
Grading of astrocytomas using a Quantimet 720 image-analysing computer.
作者信息
Robertson A J, Anderson J M, Brown R A, Slidders W, Beck J S
出版信息
J Clin Pathol. 1978 May;31(5):469-74. doi: 10.1136/jcp.31.5.469.
Abstract
Cerebral astrocytomas and undifferentiated gliomas were graded by (1) Kernohan classification on the basis of visual microscopy, and (2) optical density/area profiles obtained by automated densitometry with a Quantimet 720 image-analysing computer. In a retrospective study of 44 patients the Quantimet measurements seemed to give a more accurate assessment of prognosis than visual grading.
摘要
脑星形细胞瘤和未分化胶质瘤通过以下方式分级
（1）基于视觉显微镜检查的克诺汉分类法；（2）使用Quantimet 720图像分析计算机通过自动密度测定法获得的光密度/面积曲线。在一项对44例患者的回顾性研究中，Quantimet测量似乎比视觉分级能更准确地评估预后。
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