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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.

DOI:10.1136/jcp.31.5.469
PMID:206576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1145305/
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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d4d/1145305/fba013ba0583/jclinpath00441-0079-b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d4d/1145305/a62589026305/jclinpath00441-0079-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d4d/1145305/fba013ba0583/jclinpath00441-0079-b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d4d/1145305/a62589026305/jclinpath00441-0079-a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d4d/1145305/fba013ba0583/jclinpath00441-0079-b.jpg

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本文引用的文献

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Glioblastoma multiforme: a clinical survey.多形性胶质母细胞瘤:一项临床调查。
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Should we treat glioblastoma multiforme? A study of survival in 425 cases.我们应该治疗多形性胶质母细胞瘤吗?425例患者的生存情况研究。
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Radiation therapy in the treatment of intracranial tumors.颅内肿瘤治疗中的放射治疗。
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Automated image analysis of gliomas an objective and reproducible method for tumor grading.
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The relative significance of factors affecting postoperative survival in astrocytomas, grades 3 and 4.
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The relative significance of factors affecting postoperative survival in astrocytomas, grades one and two.影响一、二级星形细胞瘤术后生存的因素的相对重要性。
Can J Neurol Sci. 1976 Feb;3(1):47-50. doi: 10.1017/s0317167100025993.