Analysis of Patients Undergoing Colonoscopies and the Importance of Exam Quality for Colorectal Cancer Screening

Author:

Furlanetto Marcos Venícios1ORCID,Zwierzikowski Jaqueline Alves2ORCID,Bertoldo Carolina Fischer2ORCID,Wistuba Guilherme Andretta Sotto Maior2ORCID,Tashima Eduardo Issao Brand1ORCID,Vieira Ana Helena Bessa Gonçalves1ORCID,Invitti Henrique Luckow1ORCID,Brenner Antonio Sérgio1ORCID

Affiliation:

1. Colorectal Surgery Department, Hospital Universitário Evangélico Mackenzie, Curitiba, PR, Brazil

2. Universidade Federal do Paraná (UFPR), Curitiba, PR, Brazil

Abstract

Summary Objective To determine the impact of the quality of colonoscopy examination for colorectal cancer screening. Methods Retrospective observational study of medical records from patients treated at the endoscopy and colonoscopy service of Hospital Universitário Evangélico Mackenzie (Curitiba, PR, Brazil) from January 2019 to January 2020. Results The analysis was based on 337 medical records from patients with adenomas identified during colonoscopy, and 1,385 medical records from patients without adenomas. The estimated occurrence rate of diagnosis of adenoma during colonoscopy in the target population of the study was of 19.6%, with a 95% confidence interval ranging from 17.7 to 21.5%. Of the 337 patients with adenoma, 136 (40.4%) presented the advanced form. Statistical analysis indicated a significant association between the quality of colonoscopy preparation and test completion. Conclusion The quality of colonoscopy images is a critical factor for colorectal cancer screening, as it leads to higher rates of adenoma detection and test completion.

Publisher

Georg Thieme Verlag KG

Subject

Gastroenterology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Polyp Segmentation in Colonoscopy Images for Detection and Diagnosis of Colorectal Cancer;2023 15th IEEE International Conference on Industry Applications (INDUSCON);2023-11-22

2. Polyp Detection in Colonoscopy Images Using a Vision Transformer Classifier;2023 15th IEEE International Conference on Industry Applications (INDUSCON);2023-11-22

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