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Algorithm for clarifying diagnostics and intraluminal endoscopic removal of colorectal epithelial neoplasms

https://doi.org/10.33878/2073-7556-2021-20-1-17-22

Abstract

Aim: to work out of a set of measures aimed for early detection of colorectal tumors and the choice of a method of endoscopic surgery.

Patients and methods: a multimodal approach was used, which included two successive stages: the stage of assessing the depth of invasion of malignant colorectal epithelial tumors (1) and the stage of endoscopic surgery. The study included 974 patients, aged 67 (43-81) years. The algorithm of the systemic automatic approach to differentiate the depth of invasion of superficial malignant colorectal tumors has been worked out based on analysis of color pictures of colonoscopy (Colonoscopy Video Analysis). The results of use of automatic system were compared with experts’ assessment.

Results: the application of the developed algorithm of the systemic automatic approach to differentiate the depth of invasion of malignant ENC has high detection accuracy – the total average detection accuracy when implementing this algorithm is 72.02. No significant differences with experts’ assessment were obtained. With endoscopic removal of malignant tumors with superficial invasion, the correct selection of patients based on the tumor size (up to 2.0 and over 2.0 cm) and the corresponding removal technique (mucosal resection or endoscopic submucosal dissection) are decisive.

Conclusion: the automatic system of evaluation of tumor invasion depth has a high accuracy and gives a possibility to exclude false positive results.

About the Authors

D. V. Zavyalov
State Budgetary Healthcare Institution of the Yaroslavl Region “Clinical Oncology Hospital”; Yaroslavl State Medical University
Russian Federation

Dmitry V. Zavyalov

prospect Oktyabrya, 67, Yaroslavl, 150054,

Revolutsionnaya str., 5, Yaroslavl, 150000



S. V. Kashin
State Budgetary Healthcare Institution of the Yaroslavl Region “Clinical Oncology Hospital”; Yaroslavl State Medical University

Sergey V. Kashin 

prospect Oktyabrya, 67, Yaroslavl, 150054,

Revolutsionnaya str., 5, Yaroslavl, 150000



P. V. Nesterov
State Budgetary Healthcare Institution of the Yaroslavl Region “Clinical Oncology Hospital”

Pavel V. Nesterov  

prospect Oktyabrya, 67, Yaroslavl, 150054,



A. M. Nechipai
Federal State Budgetary Institution “N.N. Blokhin National Medical Research Center of Oncology” оf the Ministry of Health of the Russian Federation

Andrey M. Nechipai  

Kashirskoe shosse, 23, Moscow, 115478



V. V. Rybachkov
Yaroslavl State Medical University

Vladimir V. Rybachkov  

Revolutsionnaya str., 5, Yaroslavl, 150000



V. N. Malashenko
Yaroslavl State Medical University

Viktor N. Malashenko  

Revolutsionnaya str., 5, Yaroslavl, 150000



V. V. Khryaschev
P.G. Demidov Yaroslavl State University. Center for Artificial Intelligence and Digital Economy

Vladimir V. Khryaschev  

Sovetskaya str., 14, Yaroslavl, 150003



References

1. Kaprin A.D., Starinskij V.V., Petrova G.V. Malignant Neoplasms in Russia in 2018. (Morbidity and mortality). M.: MNIOI im. P.A. Gercena filial FGBU «NMIRC» Minzdrava Rossii. 2018; 250 p. Dostupno na 10.10.2020g na https://oncology-association.ru/files/medstat/2018.pdf (in Russ.).

2. Mametyeva Yu.A., Zavyalov D.V., Kamkina G.V., Kashin S.V. et al. Colorectal cancer in young people. epidemiological situation in the Yaroslavl region. Russian Journal of Evidence-based Gastroenterology. 2019; v. 8, no. 4-5, pp. 68-75. (in Russ.).

3. Nesterov P.V., Ukharskij А.V., Kislov N.V. Regional’naya kliniko-ehkonomicheskaya model’ skrininga kolorektal’nogo raka. Issledovaniya I praktika v meditsine. 2020; v. 7, no. 3, pp.я146-159. (in Russ.).

4. Schoen RE, Pinsky PF, Weissfeld JL et al. Colorectal-cancer incidence and mortality with screening flexible sigmoidoscopy. N Engl J Med. 2012;366:2345-2357.

5. Zavyalo, D.V., Kashin S.V. Missed Neoplasias of the Colon. Koloproktologia. 2015; no. 1(51), pp. 32-37. (in Russ.)


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For citations:


Zavyalov D.V., Kashin S.V., Nesterov P.V., Nechipai A.M., Rybachkov V.V., Malashenko V.N., Khryaschev V.V. Algorithm for clarifying diagnostics and intraluminal endoscopic removal of colorectal epithelial neoplasms. Koloproktologia. 2021;20(1):17-22. (In Russ.) https://doi.org/10.33878/2073-7556-2021-20-1-17-22

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ISSN 2073-7556 (Print)
ISSN 2686-7303 (Online)