NCT03842059

Brief Summary

We developed an artificial intelligent computer system with a deep neural network to analyze real-time video signals from the endoscopy station. This randomised controlled trial compared adenoma detection rate between computer-assisted colonoscopy and standard colonoscopy.

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Mar 2019

Typical duration for not_applicable

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 13, 2019

Completed
2 days until next milestone

First Posted

Study publicly available on registry

February 15, 2019

Completed
14 days until next milestone

Study Start

First participant enrolled

March 1, 2019

Completed
2.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2021

Completed
Last Updated

February 15, 2019

Status Verified

February 1, 2019

Enrollment Period

2.8 years

First QC Date

February 13, 2019

Last Update Submit

February 14, 2019

Conditions

Outcome Measures

Primary Outcomes (1)

  • Adenoma detection rate

    Adenoma detection rate

    During colonoscopic examination procedure

Secondary Outcomes (1)

  • adenomas detected per subject

    During colonoscopic examination procedure

Study Arms (2)

Computer-aided detection

EXPERIMENTAL
Device: Computer-aided detection

Standard colonoscopy

PLACEBO COMPARATOR
Device: Standard colonoscopy

Interventions

We developed an artificial intelligent computer system with a deep neural network (PX-1) to analyze real-time video signals from the endoscopy station

Computer-aided detection

Standard colonoscopy

Standard colonoscopy

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Patients aged ≥20 years, scheduled for colonoscopy for one of the following indications for colonoscopy, were invited to participate in this study: polyp surveillance, changed bowel habits and/or bloody stools, bowel complaints, a positive family history for CRC, a positive FOBT, abdominal pain, diarrhoea, post-polypectomy surveillance.

You may not qualify if:

  • We excluded patients from this study if: (1) they had known colonic neoplasia or inflammatory or other significant colonic disease, such as patients specifically presenting for polypectomy; (2) there was open bleeding or they were receiving an emergency colonoscopy; (3) they had previously previous colonic resection; (4) they were in poor general condition (more than American Society of Anesthesiologists grade III); (5) they were receiving anticoagulant medication; (6) they had severe comorbidity, including end-stage cardiovascular, pulmonary, liver or renal disease); (7) they were not able or refused to give informed written consent; (8) following enrolment and randomisation to one of the arms, those subjects who had inadequate colon preparation or in whom the caecum could not be reached were also excluded.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, CARE PROVIDER
Purpose
SCREENING
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Chief

Study Record Dates

First Submitted

February 13, 2019

First Posted

February 15, 2019

Study Start

March 1, 2019

Primary Completion

December 31, 2021

Study Completion

December 31, 2021

Last Updated

February 15, 2019

Record last verified: 2019-02