作者
Smit S Deliwala, Kewan Hamid, Mahmoud Barbarawi, Harini Lakshman, Yazan Zayed, Pujan Kandel, Srikanth Malladi, Adiraj Singh, Ghassan Bachuwa, Grigoriy E Gurvits, Saurabh Chawla
发表日期
2021/11
来源
International Journal of Colorectal Disease
卷号
36
期号
11
页码范围
2291-2303
出版商
Springer Berlin Heidelberg
简介
Goals and background
Studies analyzing artificial intelligence (AI) in colonoscopies have reported improvements in detecting colorectal cancer (CRC) lesions, however its utility in the realworld remains limited. In this systematic review and meta-analysis, we evaluate the efficacy of AI-assisted colonoscopies against routine colonoscopy (RC).
Study
We performed an extensive search of major databases (through January 2021) for randomized controlled trials (RCTs) reporting adenoma and polyp detection rates. Odds ratio (OR) and standardized mean differences (SMD) with 95% confidence intervals (CIs) were reported. Additionally, trial sequential analysis (TSA) was performed to guard against errors.
Results
Six RCTs were included (4996 participants). The mean age (SD) was 51.99 (4.43) years, and 49% were females. Detection rates favored AI over RC for adenomas (OR 1.77; 95% CI: 1.570–2.08) and polyps …
学术搜索中的文章
SS Deliwala, K Hamid, M Barbarawi, H Lakshman… - International Journal of Colorectal Disease, 2021