COST-EFFECTIVENESS ANALYSIS OF ARTIFICIAL INTELLIGENCE-AIDED COLONOSCOPY FOR ADENOMA DETECTION AND CHARACTERISATION IN SPAIN

Objective. To assess the cost-effectiveness of an Intelligent Endoscopy Module for computer-assisted detection and characterization (CADe/CADx) compared to standard practice, from a Spanish National Health System perspective. Methods. A Markov model was designed to estimate total costs, life years gained (LYG), and quality-adjusted life years (QALYs) over a lifetime horizon with annual cycles. A hypothetical cohort of 1,000 patients eligible for colonoscopy (mean age of 61.32 years) was distributed between Markov states according to polyp size, location, and histology based on national screening programs’ data. CADe/CADx efficacy was determined based on adenoma miss rates, and natural disease evolution was simulated according to annual transition probabilities. Detected polyps’ management involved polypectomy and histopathology in standard practice, while with CADe/CADx leave-in-situ strategy was applied for ≤5mm rectosigmoid non-adenomas and resect-and-discard strategy for the rest of ≤5mm polyps. Unit costs (€,2024) included the diagnostic procedure and polyp and CRC management. A 3% annual discount rate was applied to costs and outcomes. The model’s inputs were validated by an expert panel. Results. CADe/CADx resulted more effective (16.37 LYG and 14.32 QALYs) than standard practice (16.33 LYG and 14.27 QALYs) over a lifetime horizon. Total cost per patient was €2,300.76 with CADe/CADx and €2,508.75 with colonoscopy alone. In a hypothetical cohort of 1,000 patients, CADe/CADx avoided 173 polypectomies, 370 histopathologies, and 7 CRC cases. Sensitivity analyses confirmed the model's robustness. Conclusions. The results of this analysis suggest that CADe/CADx would result in a dominant strategy versus standard practice in patients undergoing colonoscopies in Spain.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: COST-EFFECTIVENESS ANALYSIS OF ARTIFICIAL INTELLIGENCE-AIDED COLONOSCOPY FOR ADENOMA DETECTION AND CHARACTERISATION IN SPAIN ; day:02 ; month:01 ; year:2025 ; Endoscopy International Open ; (02.01.2025)

Contributors, Places and Time

• Contributor: Bustamante-Balén, Marco ; Merino Rodríguez, Beatriz ; Barranco, Luis ; Monje, Julen ; Álvarez, María ; de Pedro, Sofia ; Oyagüez, Itziar ; Van Lent, Nancy ; Mareque, Maria

Further information

• DOI: 10.1055/a-2509-7278
• URN: urn:nbn:de:101:1-2502271014182.620849764425
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:35 AM CEST