Computer analysis of abnormal proliferation and transformation cells in gastric mucosa and its clinical significance.

IF 6.5 3区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Su-Nan Wang, Yang-Kun Wang, Bo Jiang, Jian-Xue Bu, Ying-Ying Li
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引用次数: 0

Abstract

To investigate the image computer analysis of abnormally proliferating transformed cells of gastric mucosa and its clinical significance. The pathological pictures of gastric adenomatous polyp cells, abnormally proliferating altered cells, and tubular adenocarcinoma cells in the stomach mucosa were assessed by image computer method on a total of 96 gastroscopic biopsy and ESD resection specimens. The data of cytoplasmic area, nuclear area, nuclear-cytoplasmic ratio, nuclear factor and N-heterotypic index of gastric adenomatous polyps, abnormal proliferative transformation and gastric intramucosal tubular adenocarcinoma were collected, and the mean, standard deviation and variance were calculated respectively. Standard Error, Maximum, Minimum Parameters and Statistical Structure. There were substantial discrepancies between gastric mucosal gastric adenomatous polyp cells and gastric mucosal abnormally proliferating transformed cells, according to the five data in the abnormal cells in the stomach mucosal proliferation area (p < 0.01); There was no significant difference between cells (p > 0.05). Computer analysis of cell images can provide quantitative values for the pathological diagnosis of gastric adenomatous polyp cells, abnormally proliferating transformed cells and tubular adenocarcinoma cells in the gastric mucosa, especially the degree of atypical proliferation. The monitoring of abnormally proliferated and transformed cells in gastric mucosa is of great significance for clinicians to accurately treat and track cell transformation, and to control the occurrence and development of gastric adenocarcinoma.

胃黏膜异常增殖和转化细胞的计算机分析及其临床意义。
目的 探讨胃黏膜异常增殖转化细胞的图像计算机分析及其临床意义。采用图像计算机方法对96例胃镜活检和ESD切除标本的胃粘膜腺瘤息肉细胞、异常增殖转化细胞和管状腺癌细胞的病理图像进行评估。收集胃腺瘤性息肉、异常增殖转化和胃黏膜内管状腺癌的细胞质面积、核面积、核-细胞质比、核因子和 N-异型指数等数据,分别计算其均值、标准差和方差。标准误差、最大值、最小值参数和统计结构。根据胃黏膜增生区异常细胞的五项数据,胃黏膜胃腺瘤性息肉细胞与胃黏膜异常增生转化细胞之间存在很大差异(P P > 0.05)。计算机分析细胞图像可为胃粘膜腺瘤性息肉细胞、异常增殖转化细胞和管状腺癌细胞的病理诊断提供定量值,尤其是非典型增殖程度。对胃黏膜异常增殖和转化细胞进行监测,对临床医生准确治疗和跟踪细胞转化、控制胃腺癌的发生和发展具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biotechnology & Genetic Engineering Reviews
Biotechnology & Genetic Engineering Reviews BIOTECHNOLOGY & APPLIED MICROBIOLOGY-GENETICS & HEREDITY
CiteScore
6.50
自引率
3.10%
发文量
33
期刊介绍: Biotechnology & Genetic Engineering Reviews publishes major invited review articles covering important developments in industrial, agricultural and medical applications of biotechnology.
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