title: Analysis of endoscopic electronic image of intramucosal gastric carcinoma using a software program for calculating hemoglobin index.
abstract: 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.
authors.affiliation: Department of Internal Medicine, Pusan National University College of Medicine, 1-10 Ami-Dong, Seo-Gu, Busan, Korea.
authors.forename: Gwang Ha
authors.initials: GH
authors.lastname: Kim
authors.forename: Kwang Baek
authors.initials: KB
authors.lastname: Kim
authors.forename: Eun Kyung
authors.initials: EK
authors.lastname: Lim
authors.forename: Seong Ho
authors.initials: SH
authors.lastname: Choi
authors.forename: Tae Oh
authors.initials: TO
authors.lastname: Kim
authors.forename: Jeong
authors.initials: J
authors.lastname: Heo
authors.forename: Dae Hwan
authors.initials: DH
authors.lastname: Kang
authors.forename: Geun Am
authors.initials: GA
authors.lastname: Song
authors.forename: Mong
authors.initials: M
authors.lastname: Cho
authors.forename: Do Youn
authors.initials: DY
authors.lastname: Park
mesh_terms: 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*
chemical_list: D014408:Biomarkers, Tumor; D006454:Hemoglobins; D009363:Neoplasm Proteins