[Modern endoscopic diagnosis of precancerous lesions and early cancers of the stomach and colon using computer decision support systems].
Modern endoscopic techniques allow a precise diagnosis of superficial epithelial lesions of the stomach and colon and predict their histological structure. Currently, there are a variety of endoscopic classifications based on the use of magnifying endoscopy and NBI for superficial epithelial lesions according to their morphology. For differential diagnosis of benign lesions, mild neoplasia and early cancer in the colon we commonly use the pit-pattern classification of the surface epithelium created by S. Kudo and mucosal capillary pattern classification created by Y. Sano, which have proven effectiveness in prospective studies. For the stomach to date there is no universally accepted comfortable reliable classification for differentiation benign and neoplastic gastric lesions. However, VS-classification, created by K. Yao, is the most prevalent and effective classification today. It is based on regularity of the vascular and surface (V&S) patterns of the gastric mucosa and presence of the demarcation line on the border with the surrounding mucosa. To increase the efficiency of endoscopic diagnosis with using of these classifications, to identify new diagnostic criteria, to train young specialists and to help skilled doctors computer decision support systems for a physician are successfully developed now.
O A
OA
Buntseva
Z V
ZV
Galkova
R V
RV
Plakhov
K Iu
KIu
Érendzhenova
E D
ED
Fedorov
V V
VV
Mizgulin
R M
RM
Kadushnikov
D003110:Colonic Neoplasms / Q000473:pathology*; D003661:Decision Support Techniques; D003937:Diagnosis, Differential; D055088:Early Detection of Cancer / Q000295:instrumentation / Q000379:methods*; D016099:Endoscopy, Gastrointestinal; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D011230:Precancerous Conditions / Q000473:pathology*; D013274:Stomach Neoplasms / Q000473:pathology*