This is a prospective feasibility study. The aim of this work is to assess the acceptability and feasibility of optical diagnosis-led care in bowel cancer screening patients undergoing colonoscopy. This study will determine whether bowel cancer screening colonoscopists are able to consistently record and diagnose diminutive adenomas suitable for a resect and discard strategy allowing assignment of surveillance intervals according to Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) criteria. A practical quality assurance program around optical diagnosis will be introduced. The use of a CAD polyp-detection system will also be evaluated (AI-DETECT).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
614
Software will be used during the procedure to aid the detection of polyps during the procedure.
St Mark's Hospital
Harrow, United Kingdom
Learning curve to achieve accurate optical diagnosis
The investigators will assess endoscopist learning curve by calculating percentage of accurate optical diagnoses of diminutive polyps (when compared with histopathology) for all endoscopists over the course of the study.
Time frame: Through study completion, approximately 18-24 months
Proportion of cases where optical diagnosis derived surveillance intervals concur with histopathology derived surveillance intervals
For each participant, the surveillance interval according to international guidelines (UK, US, European) will be determined based on optical diagnoses alone and then separately based on histopathology results alone. The proportion of cases where both optical diagnosis derived and histopathology derived surveillance intervals agree will be calculated.
Time frame: 2 weeks for each participant
Polyp detection rate (AI-DETECT)
The investigators will assess the impact on polyp detection rate when using a CAD polyp-detection system.
Time frame: 2 weeks for each participant
Sensitivity of optical diagnosis
The sensitivity of optical diagnosis will be assessed for polyps identified during the course of the study.
Time frame: 2 weeks for each participant
Specificity of optical diagnosis
The specificity of optical diagnosis will be assessed for polyps identified during the course of the study.
Time frame: 2 weeks for each participant
Adenoma detection rate (AI-DETECT)
The investigators will assess the impact on adenoma detection rate when using a CAD polyp-detection system.
Time frame: 2 weeks for each participant
Serrated polyp detection rate (AI-DETECT)
The investigators will assess the impact on serrated polyp detection rate when using a CAD polyp-detection system.
Time frame: 2 weeks for each participant
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