Correlation Between Artificial Intelligence-Based Fecal Coverage Area-Quantified Bowel Preparation Quality Score (FQ-BBPS) and Adenoma Detection Rate

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age45-75
SponsorFudan University

About this trial

A single-center prospective observational study evaluates the correlation between an AI-based bowel preparation quality score (FQ-BBPS\[25%\]), which quantifies fecal coverage area during colonoscopy withdrawal, and the adenoma detection rate (ADR) in screening/surveillance patients.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

aged 45-75 years

No colonoscopy within the past 3 years

Disqualifiers

Patients scheduled for therapeutic colonoscopy, postoperative surveillance after colorectal surgery, or treatment of histologically confirmed polyps

Patients with highly suspected or pathologically confirmed colorectal cancer

Patients presenting with alarm symptoms or signs (hematochezia, melena, unexplained anemia or weight loss, palpable abdominal mass, or a positive digital rectal examination)

Pregnant or breastfeeding women

Trial population

Patients undergoing screening/surveillance colonoscopy

Trial design

Design model

Cohort

Time perspective

Cross-sectional

Treatments tested in this trial

Not listed

Trial groups

560 Participants
are grouped into 1 trial group
Group A: Screening/Surveillance colonoscopy

Trial outcomes

Primary outcomes

1

adenoma detection rate

Time frame
2 weeks after the procedure

Secondary outcomes

1

sessile serrated lesion detection rate

Time frame
2 weeks after the procedure
2

advanced adenoma detection rate

Time frame
2 weeks after the procedure
3

polyp detection rate

Time frame
2 weeks after the procedure

Other outcomes

Sponsors and contacts

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This trial is not recruiting at the moment. You can still explore other options: