The mathematical model for the differential diagnosis of endoscopic gastric ulcerative lesions
10.3760/cma.j.issn.1007-5232.2015.03.012
- VernacularTitle:内镜下胃溃疡性病变鉴别诊断的数学模型
- Author:
Haiyan TAO
;
Peng LI
;
Ping ZHOU
;
Shutian ZHANG
;
Derong YE
- Publication Type:Journal Article
- Keywords:
Principal component analysis;
Factor analysis;
Cluster analysis;
Endoscopy;
Gastric ulcer;
Gastric peptic cancers
- From:
Chinese Journal of Digestive Endoscopy
2015;(3):180-186
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish mathematical model for the differential diagnosis of endoscopic gastric ulcerative lesions with the help of image processing software and statistical analysis method. Methods The microscopic images of 25 gastric ulcers and 25 gastric peptic cancers were collected from January 2013 to December 2013.Then the Photoshop CS4 software was used for image processing and representative measurements gathering(area,perimeter,roundness,height,width,gray scale,involving the density,color,lightness,pixels).Then the principal component analysis,the scatter plot and cluster analysis were performed by SPSS 16.0.Results According to the results of principal component analysis, Z1 showed a strong positive correlation with area,perimeter,height,width,cumulative density,pixel,which represented the shape statistics of ulcer.And Z2 showed a strong positive correlation with gray scale,color, lightness,which represented the color statistics of ulcer.On the Scatter plot,gastric peptic cancer images showed a stronger positive correlation with the principal component Z1 and Z2 .Clustering analysis results showed that for the majority of patients,there was a pattern in its incidence.In the gastric ulcer diagnostic models,the effective information should include area≤10 000;perimeter≤250;height≤90;width≤60;gray scale≥90;cumulative density≤190 000;color≥110;and lightness≥110(unit:pixel).In the gastric ulcera-tive cancers,the effective information should include area≥38 000,perimeter≥690,height≥300,width ≥ 426,gray scale ≤ 100,cumulative density ≥ 14 000 000,color ≤ 125,and lightness ≤ 130 (unit:pixel). Conclusion Among the endoscopic image data,area,perimeter,roundness,height,width,gray scale, cumulative density,color,brightness,pixels are important indices,which can contribute to the differential diagnosis of gastric ulcerative lesions.The established mathematical model based on the ten indices can be applied to predict and diagnose gastric ulcerative lesions.
