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胶质母细胞瘤的计算机辅助鉴别

Computer-assisted discrimination of glioblastomas.

作者信息

Scarpelli M, Montironi R, Thompson D, Bartels P H

机构信息

Department of Pathology, University of Ancona, Italy.

出版信息

Anal Quant Cytol Histol. 1997 Oct;19(5):369-75.

PMID:9349896
Abstract

OBJECTIVE

To measure a number of nuclear features in a series of glioblastomas and compare the data with those from a set of anaplastic and low grade astrocytomas.

STUDY DESIGN

The material consisted of toluidine blue-stained smears from 13 consecutive cases of glioblastoma. Smears from 12 high grade astrocytomas and 13 low grade fibrillary astrocytomas were used for comparison. Fifty nuclei were measured in each case. Cell images were segmented by an interactive procedure. A set of features representing both morphometric and nuclear texture characteristics was computed.

RESULTS

The use of a discriminant function based on two features related to the gray value distribution resulted in the separation of all low grade astrocytomas from glioblastomas. When the corresponding discriminant function was computed for high grade astrocytomas and the values were plotted against optical density, the glioblastomas formed a group at a greater distance from the low grade astrocytomas than from the high grade astrocytomas. A second discriminant function based on two features allowed complete separation of the glioblastoma cases from the high grade astrocytomas.

CONCLUSION

In our material, chromatin texture analysis allowed effective separation of astrocytic tumors with different histologic grades of malignancy.

摘要

目的

测量一系列胶质母细胞瘤的若干细胞核特征,并将数据与一组间变性星形细胞瘤和低级别星形细胞瘤的数据进行比较。

研究设计

材料包括13例连续胶质母细胞瘤经甲苯胺蓝染色的涂片。使用12例高级别星形细胞瘤和13例低级别纤维性星形细胞瘤的涂片进行比较。每例测量50个细胞核。通过交互式程序对细胞图像进行分割。计算一组代表形态计量学和细胞核纹理特征的特征。

结果

基于与灰度值分布相关的两个特征使用判别函数,可将所有低级别星形细胞瘤与胶质母细胞瘤区分开。当为高级别星形细胞瘤计算相应的判别函数并将值与光密度作图时,胶质母细胞瘤形成的组与低级别星形细胞瘤的距离大于与高级别星形细胞瘤的距离。基于两个特征的第二个判别函数可将胶质母细胞瘤病例与高级别星形细胞瘤完全区分开。

结论

在我们的材料中,染色质纹理分析可有效区分不同组织学恶性级别的星形细胞肿瘤。

相似文献

1
Computer-assisted discrimination of glioblastomas.胶质母细胞瘤的计算机辅助鉴别
Anal Quant Cytol Histol. 1997 Oct;19(5):369-75.
2
Karyometric features of low and high grade glial tumors as compared with their MRI appearance.低级别和高级别胶质肿瘤的核测量特征及其MRI表现的比较
Anal Quant Cytol Histol. 2004 Apr;26(2):87-96.
3
Morphometrically assisted grading of astrocytomas.
Anal Quant Cytol Histol. 1994 Oct;16(5):351-6.
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Distribution of nuclear size and internuclear distance are important criteria for grading astrocytomas.细胞核大小分布和核间距离是星形细胞瘤分级的重要标准。
Clin Neuropathol. 2006 Jan-Feb;25(1):48-56.
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Real-time quantification of the proliferative state in astrocytomas.星形细胞瘤增殖状态的实时定量分析
Anal Quant Cytol Histol. 2000 Jun;22(3):213-7.
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Nucleolar organizer regions (AgNORs) in astrocytic tumors.星形细胞瘤中的核仁组成区(AgNORs)
Zentralbl Pathol. 1994 Mar;140(1):89-94.
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Topometric analysis of diffuse astrocytomas.弥漫性星形细胞瘤的拓扑测量分析
Anal Quant Cytol Histol. 2003 Feb;25(1):12-8.
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Characterization of astroglial versus oligodendroglial phenotypes in glioblastomas by means of quantitative morphonuclear variables generated by computer-assisted microscopy.通过计算机辅助显微镜生成的定量形态核变量对胶质母细胞瘤中的星形胶质细胞与少突胶质细胞表型进行表征。
J Neuropathol Exp Neurol. 1998 Aug;57(8):791-802. doi: 10.1097/00005072-199808000-00008.
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Apparent diffusion coefficient in the evaluation of cerebral gliomas malignancy.表观扩散系数在脑胶质瘤恶性程度评估中的应用
Vojnosanit Pregl. 2015 Oct;72(10):870-5. doi: 10.2298/vsp140229073i.
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Nearest-neighbor classification for identification of aggressive versus nonaggressive low-grade astrocytic tumors by means of image cytometry-generated variables.通过图像细胞术生成的变量进行最近邻分类,以鉴别侵袭性与非侵袭性低级别星形细胞瘤。
J Neurosurg. 1997 Mar;86(3):532-7. doi: 10.3171/jns.1997.86.3.0532.

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