4.8 Article

An Evaluation of Critical Factors for the Cost-Effectiveness of Real-Time Computer-Aided Detection: Sensitivity and Threshold Analyses Using a Microsimulation Model

Journal

GASTROENTEROLOGY
Volume 164, Issue 6, Pages 906-920

Publisher

W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1053/j.gastro.2023.01.027

Keywords

Artificial Intelligence; Computer-Aided Detection; Adenoma Detection Rate; Screening Colonoscopy

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This study aimed to evaluate the cost-effectiveness requirements of computer-aided detection (CAD) in colorectal cancer (CRC) screening/surveillance and its impact on adenoma detection by endoscopists with different ADRs. The findings showed that CAD significantly improved ADR and reduced CRC incidence and mortality. Therefore, in clinical implementation, CAD needs to improve ADR to at least 30% or have a cost of less than $579 per colonoscopy to be cost-effective.
BACKGROUND & AIMS: The use of computer-aided detection (CAD) increases the adenoma detection rates (ADRs) during colorectal cancer (CRC) screening/surveillance. This study aimed to evaluate the requirements for CAD to be cost-effective and the impact of CAD on adenoma detection by endoscopists with different ADRs. METHODS: We developed a semi-Markov microsimulation model to compare the effectiveness of tradi-tional colonoscopy (mean ADR, 26%) to colonoscopy with CAD (mean ADR, 37%). CAD was modeled as having a $75 per-procedure cost. Extensive 1-way sensitivity and threshold analysis were performed to vary cost and ADR of CAD. Multiple scenarios evaluated the potential effect of CAD on endoscopists' ADRs. Outcome measures were reported in incremental cost-effectiveness ratios, with a willingness-to-pay threshold of $100,000/quality-adjusted life year.RESULTS: When modeling CAD improved ADR for all endoscopists, the CAD cohort had 79 and 34 fewer lifetime CRC cases and deaths, respectively, per 10,000 persons. This scenario was dominant with a cost sav-ings of $143 and incremental effectiveness of 0.01 quality-adjusted life years. Threshold analysis demonstrated that CAD would be cost-effective up to an additional cost of $579 per colonoscopy, or if it increases ADR from 26% to at least 30%. CAD reduced CRC incidence and mortality when limited to improving ADRs for low-ADR endoscopists (ADR <25%), with 67 fewer CRC cases and 28 CRC deaths per 10,000 persons compared with traditional colonoscopy. CONCLUSIONS: As CAD is implemented clinically, it needs to improve mean ADR from 26% to at least 30% or cost less than $579 per colonoscopy to be cost-effective when compared with tradi-tional colonoscopy. Further studies are needed to understand the impact of CAD when used in community practice.

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