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[通过自动显微镜图像分析对膀胱肿瘤进行分级]

[Grading of urinary bladder tumors by automated microscopic image analysis].

作者信息

Wenzelides K, Hufnagl P, Voss K, Guski H, Simon H

出版信息

Zentralbl Allg Pathol. 1986;132(4):301-6.

PMID:3799089
Abstract

Studies were undertaken on biopsies from urinary bladder papillomas and urothelial carcinomas of different grades (G1-G3) along with normal urinary bladder mucosa from a total of 145 patients. They were performed by use of automated microscopic image analysis (system Robotron A 6471; software AMBA/R) and resulted in making objective the tumor grading and lead to the detection of both papillomas and G1-carcinomas with high proliferating activity. In addition, we were able to separate the G2-carcinomas into two groups which probably show different biological behaviour. They cannot be discriminated by conventional morphological methods but their existence is consistent with clinical observations.

摘要

对145例患者的膀胱乳头状瘤、不同分级(G1 - G3)的尿路上皮癌活检组织以及正常膀胱黏膜进行了研究。研究采用自动显微镜图像分析(Robotron A 6471系统;AMBA/R软件)进行,实现了肿瘤分级的客观化,并检测出具有高增殖活性的乳头状瘤和G1级癌。此外,我们能够将G2级癌分为两组,这两组可能表现出不同的生物学行为。它们无法通过传统形态学方法区分,但它们的存在与临床观察结果一致。

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