Benefits, burden, and harms of computer aided polyp detection with artificial intelligence in colorectal cancer screening: microsimulation modelling study Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1136/bmjmed-2025-001446
Objective To estimate the benefits, burden, and harms of implementing computer aided detection (CADe) of polyps in colonoscopy of population based screening programmes for colorectal cancer. Design Microsimulation modelling study. Setting Cost effectiveness working package in the OperA (optimising colorectal cancer prevention through personalised treatment with artificial intelligence) project. A parallel guideline committee panel (BMJ Rapid recommendation) was consulted in defining the screening interventions and selection of outcome measures. Population Four cohorts of 100 000 European individuals aged 60-69 years. Intervention The intervention was one screening of colonoscopy and a screening of colonoscopy after faecal immunochemical test every other year with CADe. The comparison group had the same screening every other year without CADe. Main outcome measures Benefits (colorectal cancer incidence and death), burden (surveillance colonoscopies), and harms (colonoscopy related adverse events) over 10 years were measured. The certainty in each outcome was assessed by use of the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach. Results For 100 000 individuals participating in colonoscopy screening, 824 (0.82%) were diagnosed with colorectal cancer within 10 years without CADe versus 713 (0.71%) with CADe (risk difference –0.11% (95% CI –0.43% to 0.21%)). For faecal immunochemical test screening colonoscopy, the risk was 5.82% (n=5820) without CADe versus 5.77% (n=5770) with CADe (difference –0.05% (–0.33% to 0.15%)). The risk of surveillance colonoscopy increased from 26.45% (n=26 453) to 32.82% (n=32 819) (difference 6.37% (5.8% to 6.9%)) for colonoscopy screening and from 52.26% (n=52 263) to 53.08% (n=53 082) (difference 0.82% (0.38% to 1.26%)) for faecal immunochemical test screening colonoscopy. No significant differences were noted in adverse events related to the colonoscopy between CADe and no CADe. The model estimates were sensitive to the assumed effects of screening on colorectal cancer risk and of CADe on adenoma detection rates. All outcomes were graded as low certainty. Conclusion With low certainty of evidence, adoption of CADe in population based screening provides small and uncertain clinical meaningful benefit, no incremental harms, and increased surveillance burden after screening.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmjmed-2025-001446
- OA Status
- gold
- Cited By
- 10
- References
- 37
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4408907696Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/bmjmed-2025-001446Digital Object Identifier
- Title
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Benefits, burden, and harms of computer aided polyp detection with artificial intelligence in colorectal cancer screening: microsimulation modelling studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-03-01Full publication date if available
- Authors
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Natalie Halvorsen, Cesare Hassan, Loredana Correale, Nastazja Pilonis, Lise Mørkved Helsingen, Marco Spadaccini, Alessandro Repici, Farid Foroutan, Per Olav Vandvik, Shahnaz Sultan, Magnus Løberg, Mette Kalager, Yuichi Mori, Michael BretthauerList of authors in order
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https://doi.org/10.1136/bmjmed-2025-001446Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1136/bmjmed-2025-001446Direct OA link when available
- Concepts
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Colonoscopy, Medicine, Colorectal cancer, Colorectal cancer screening, Psychological intervention, Guideline, Population, Grading (engineering), Incidence (geometry), Cancer screening, Internal medicine, Cancer, Pathology, Environmental health, Engineering, Civil engineering, Physics, Psychiatry, OpticsTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 10Per-year citation counts (last 5 years)
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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