The ways of developing organizational principles of coloproctologic care of patients with large intestine neoplasms

Abstract

The colorectal cancer remains one of leading problems of modern coloproctology and oncology. The polyps are one of pathology of colon widespread in population and predictor of colorectal cancer. Their timely detection and removal is considered as only effective measure of prevention of colon malignant neoplasms. The morbidity of colon malignant neoplasms in the Perm Kray was monitored in 2004-2018. Its structure and dynamics were evaluated. The software is described that allows both physicians and patients to evaluate probability of detecting colon neoplasms that contributes to expansion of the research database of coloproctologic studies. The ways of increasing effectiveness of predicting incidence of colorectal cancer and colon polyps were proposed on the basis of neural networks, that permit to increase detection of corresponding pathology by personalizing screening.