The cost-effectiveness of Artificial Intelligence-assisted Colonoscopy as a primary or secondary screening test in population-based colorectal cancer screening programme: a Markov modelling study

Abstract ID: 135

Authors:
Wong Chi Sang
Huang Junjie
Zhong Chenwen
Thomas YT Lam
Louis HS Lau
Philip WY Chiu

Affiliations:
The Chinese University of Hong Kong.

Abstract:Abstract Background: The study provided the cost-effectiveness of using AI colonoscopy in different population-based CRC screening strategies. Objective: The study aimed to provide insights into the potential benefits and economic implications of incorporating AI colonoscopy into CRC screening programs. Methods: To evaluate the cost-effectiveness of different population-based colorectal cancer (CRC) screening strategies, including the use of Artificial Intelligence (AI)-aided colonoscopy, by comparing incremental cost-effectiveness ratios (ICERs) and various outcome measures such as loss of cancer-related life-years, prevention of CRC cases, life-years saved, and total cost per life-year saved. Data from international literature and the government gazette were accessed to calculate relevant cost and performance estimates. Results: The incremental cost-effectiveness ratio (ICER) of [FIT + colonoscopy], [FIT + AI colonoscopy]; colonoscopy; and AI colonoscopy was US$138,539, US$122,539, US$203,929, and US$180,444, respectively. When compared with [FIT + colonoscopy], use of [FIT + AI colonoscopy] could lead to significantly smaller total loss of cancer-related life-years (5,355 vs. 5,327); higher number and proportion of CRC cases prevented (120 vs. 132, 3.7% vs. 4.1%), more life-years saved (280 vs. 308), and lower total cost per life-year saved (US$944,008 vs. US$854,367). [FIT + AI colonoscopy] had the lowest ICER [US$122,539] and dominated across all other strategies (-US36,462 vs. FIT + colonoscopy). When colonoscopy is adopted as a primary screening test, AI colonoscopy dominated conventional colonoscopy (ICER -39,040). Conclusions: These findings show that Faecal immunochemical tests (FIT) followed by AI colonoscopy is the most cost-effective strategy in population-based CRC screening programmes. Keywords: colorectal cancer; screening; faecal immunochemical tests; colonoscopy; artificial intelligence; cost-effectiveness; life-years saved

Keywords: Artificial Intelligence and Healthcare, colorectal cancer; screening; faecal immunochemical tests