Analysis of endoscopic electronic image of intramucosal gastric carcinoma using a software program for calculating hemoglobin index.
Hemoglobin is the predominent pigment in the gastrointestinal mucosa, and the development of electronic endoscopy has made it possible to quantitatively measure the mucosal hemoglobin volume, by using a hemoglobin index (IHb). The aims of this study were to make a software program to calculate the IHb and then to investigate whether the mucosal IHb determined from the electronic endoscopic data is a useful marker for evaluating the color of intramucosal gastric carcinoma with regard to its value for discriminating between the histologic types. We made a software program for calculating the IHb in the endoscopic images. By using this program, the mean values of the IHb for the carcinoma (IHb-C) and those of the IHb for the surrounding non-cancerous mucosa (IHb-N) were calculated in 75 intestinal-type and 34 diffuse-type intramucosal gastric carcinomas. We then analyzed the ratio of the IHb-C to the IHb-N (C/N ratio). The C/N ratio in the intestinal-type carcinoma group was higher than that in the diffuse-type carcinoma group (p<0.001). In the diffuse-type carcinoma group, the C/N ratio in the body was lower than that in the antrum (p=0.022). The accuracy rate, sensitivity, specificity, and the positive and negative predictive values for the differential diagnosis of the diffuse-type carcinoma from the intestinal-type carcinoma were 94.5%, 94.1%, 94.7%, 88.9% and 97.3%, respectively. IHb is useful for making quantitative measurement of the endoscopic color in the intramucosal gastric carcinoma, and the C/N ratio by using the IHb would be helpful for distinguishing the diffuse-type carcinoma from the intestinal-type carcinoma.
Kim
Gwang Ha
GH
Department of Internal Medicine, Pusan National University College of Medicine, 1-10 Ami-Dong, Seo-Gu, Busan, Korea.
Kim
Kwang Baek
KB
Lim
Eun Kyung
EK
Choi
Seong Ho
SH
Kim
Tae Oh
TO
Heo
Jeong
J
Kang
Dae Hwan
DH
Song
Geun Am
GA
Cho
Mong
M
Park
Do Youn
DY
D014408:Biomarkers, Tumor / Q000032:analysis*; D003124:Colorimetry / Q000379:methods; D005260:Female; D005753:Gastric Mucosa / Q000378:metabolism / Q000473:pathology*; D005773:Gastroscopy / Q000379:methods*; D006454:Hemoglobins / Q000032:analysis*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D009363:Neoplasm Proteins / Q000032:analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D013274:Stomach Neoplasms / Q000145:classification / Q000175:diagnosis*
D014408:Biomarkers, Tumor; D006454:Hemoglobins; D009363:Neoplasm Proteins