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

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.

KEYWORDS:

• Gastric tumor
• abnormal proliferation and transformation
• cell image
• computer analysis

Disclosure statement

No potential conflict of interest was reported by the authors.

Data Sharing Agreement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Additional information

Funding

This research is jointly supported by China University Innovation Fund for Industry, Education, and Research (No:2021FNB03001) and Special Research Projects in Key Fields of Guangdong Provincial Department of Education (No:6021210067K).

Notes on contributors

Su-Nan Wang

Su-Nan Wang, Ph.D, associate professor, Director of Communication Technology specialty

Yang-Kun Wang

Yang-Kun Wang, Chief Physican of Shenzhen Longgang District Fourth People's Hospital

Bo Jiang

Bo Jiang, Associate Chief Professor of 990 Hospital of PLA Joint Logistcs Support Force

Jian-Xue Bu

Jian-Xue Bu, Associate Chief Professor of 989 Hospital of PLA Joint Logistcs Support Force

Ying-Ying Li

Ying-Ying Li, Associate Professor of Shenzhen Polytechinc