Follow‐up of small and diminutive colonic polyps—How to balance the risks in the COVID‐19 era

MacLeod, Campbell; Mowat, Craig; Winters, Jeffrey L.; Todd, Jeannie; Ray, Camille Le; Maxwell, Fiona; McKinley, Amanda; Noble, Colin; Collins, Paul; Wilson, L.; Cruikshank, N; Hendry, Patrick; Leggett, Gillian; Fletcher, Jessica; Weber, Brittany; Moug, Susan; Watson, A

doi:10.1111/codi.15907

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Benech et al providee a practical patient management algorithm, according to colon capsule endoscopy (CCE) results obtained from the ONECC cohort. This is on par with other published proposals 7 and the realistic medicine guidance suggested by the ScotCap clinical leads collaboration 8 . CCE studies are time-consuming to read and interpret, and human errors are bound to happen 9 10 .…”

supporting

confidence: 72%

Real-life practice data on colon capsule endoscopy: We need them fast!

2022

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supporting

confidence: 72%

Real-life practice data on colon capsule endoscopy: We need them fast!

2022

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“…Furthermore, CCE is seen as a measure to relieve the pressure on overburdened endoscopy units with long waiting times for OC. The Scottish Capsule Programme has implemented CCE in a large-scale roll-out to patients presenting with lower gastrointestinal symptoms to their general practitioners and found to be eligible for colonic investigation[ 3 ]. The programme enables effective upfront screening at the community level to address increasing demand and capacity pressure within the National Health Service.…”

Section: To the Editormentioning

confidence: 99%

Comment on “Artificial intelligence in gastroenterology: A state-of-the-art review”

Bjørsum-Meyer¹,

Koulaouzidis²,

Baatrup³

2022

WJG

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Colon capsule endoscopy (CCE) was introduced nearly two decades ago. Initially, it was limited by poor image quality and short battery time, but due to technical improvements, it has become an equal diagnostic alternative to optical colonoscopy (OC). Hastened by the coronavirus disease 2019 pandemic, CCE has been introduced in clinical practice to relieve overburdened endoscopy units and move investigations to out-patient clinics. A wider adoption of CCE would be bolstered by positive patient experience, as it offers a diagnostic investigation that is not inferior to other modalities. The shortcomings of CCE include its inability to differentiate adenomatous polyps from hyperplastic polyps. Solving this issue would improve the stratification of patients for polyp removal. Artificial intelligence (AI) has shown promising results in polyp detection and characterization to minimize incomplete CCEs and avoid needless examinations. Onboard AI appears to be a needed application to enable near-real-time decision-making in order to diminish patient waiting times and avoid superfluous subsequent OCs. With this letter, we discuss the potential and role of AI in CCE as a diagnostic tool for the large bowel.

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