Trial Outcomes & Findings for Gastroenterology Artificial INtelligence System for Detecting Colorectal Polyps (The GAIN Study) (NCT NCT05275556)

NCT ID: NCT05275556

Last Updated: 2025-01-14

Results Overview

Difference in Adenomas Per Colonoscopy (APC) between the control and intervention arm, evaluated for superiority. APC is defined as the average number of histologically confirmed adenomas resected per colonoscopy.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

1410 participants

Primary outcome timeframe

Day 1

Results posted on

2025-01-14

Participant Flow

Participant milestones

Participant milestones
Measure
Colonoscopy (Standard of Care)
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Overall Study
STARTED
694
716
Overall Study
COMPLETED
694
713
Overall Study
NOT COMPLETED
0
3

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

Gastroenterology Artificial INtelligence System for Detecting Colorectal Polyps (The GAIN Study)

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Total
n=1407 Participants
Total of all reporting groups
Age, Continuous
60.42 years
STANDARD_DEVIATION 8.94 • n=5 Participants
60.66 years
STANDARD_DEVIATION 9.16 • n=7 Participants
60.54 years
STANDARD_DEVIATION 9.05 • n=5 Participants
Sex: Female, Male
Female
369 Participants
n=5 Participants
383 Participants
n=7 Participants
752 Participants
n=5 Participants
Sex: Female, Male
Male
325 Participants
n=5 Participants
330 Participants
n=7 Participants
655 Participants
n=5 Participants
Race (NIH/OMB)
American Indian or Alaska Native
2 Participants
n=5 Participants
1 Participants
n=7 Participants
3 Participants
n=5 Participants
Race (NIH/OMB)
Asian
7 Participants
n=5 Participants
10 Participants
n=7 Participants
17 Participants
n=5 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
1 Participants
n=5 Participants
4 Participants
n=7 Participants
5 Participants
n=5 Participants
Race (NIH/OMB)
Black or African American
22 Participants
n=5 Participants
26 Participants
n=7 Participants
48 Participants
n=5 Participants
Race (NIH/OMB)
White
652 Participants
n=5 Participants
666 Participants
n=7 Participants
1318 Participants
n=5 Participants
Race (NIH/OMB)
More than one race
1 Participants
n=5 Participants
1 Participants
n=7 Participants
2 Participants
n=5 Participants
Race (NIH/OMB)
Unknown or Not Reported
9 Participants
n=5 Participants
5 Participants
n=7 Participants
14 Participants
n=5 Participants
Region of Enrollment
United States
551 participants
n=5 Participants
561 participants
n=7 Participants
1112 participants
n=5 Participants
Region of Enrollment
Israel
143 participants
n=5 Participants
152 participants
n=7 Participants
295 participants
n=5 Participants
Colonoscopy Indication
Screening
373 Participants
n=5 Participants
377 Participants
n=7 Participants
750 Participants
n=5 Participants
Colonoscopy Indication
Surveillance
277 Participants
n=5 Participants
281 Participants
n=7 Participants
558 Participants
n=5 Participants
Colonoscopy Indication
Diagnostic (symptomatic)
44 Participants
n=5 Participants
55 Participants
n=7 Participants
99 Participants
n=5 Participants

PRIMARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

Difference in Adenomas Per Colonoscopy (APC) between the control and intervention arm, evaluated for superiority. APC is defined as the average number of histologically confirmed adenomas resected per colonoscopy.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Difference in Adenomas Per Colonoscopy (APC)
0.60 Resected adenomas
Interval 0.56 to 0.64
0.74 Resected adenomas
Interval 0.71 to 0.77

PRIMARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

Difference in Positive Percent Agreement (PPA) between the control and intervention arm, evaluated for non-inferiority. PPA is defined as the total number of histologically confirmed Clinically Significant Excised Lesions, divided by the total number of excisions.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Difference in Positive Percent Agreement (PPA)
0.62 Proportion of significant lesions
Interval 0.58 to 0.66
0.56 Proportion of significant lesions
Interval 0.52 to 0.6

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

The Adenoma Detection Rate is defined as the number of patients with at least one histologically confirmed adenoma divided by the total number of patients enrolled per study arm.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Adenoma Detection Rate (ADR)
38.9 Percentage of participants with adenomas
Interval 35.3 to 42.6
42.9 Percentage of participants with adenomas
Interval 39.2 to 46.6

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

A false alert is defined as a bounding box that persists on the screen (approximately 2-3 seconds per the judgment of the colonoscopist) that is then determined by the colonoscopist not to contain a polyp. The false alert rate is calculated as the number of false alerts per procedure conducted in the intervention arm of the study.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=713 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Number of False Alerts Per Procedure
417 Number of false alerts

SECONDARY outcome

Timeframe: Day 1

Population: Convenience sample of available videos

The withdrawal time is defined as the time measured from the moment the withdrawal phase of the procedure begins (with the scope in the cecum) to the moment the scope is withdrawn from the patient. The Inspection time measurement will exclude washing and resection, and other peri-resection activity not deemed to be colonic inspection. Inspection times for both the control arm and intervention arm will be calculated retrospectively upon review of the video recordings.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=660 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=669 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Mean Withdrawal and Inspection Time (MWT)
8.97 minutes
Standard Deviation 4.97
9.34 minutes
Standard Deviation 4.08

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-treat

Polyp detection rate is defined as the proportion of patients with at least one histologically-confirmed polyp detected.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Polyp Detection Rate (PDR)
364 Participants
425 Participants

SECONDARY outcome

Timeframe: Day 1

pADR is defined as the percentage of patients with at least one histologically-confirmed adenoma detected in proximal colon.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Proximal Adenoma Detection Rate (pADR)
198 Participants
236 Participants

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

fADR is defined as the percentage of patients with at least one histologically-confirmed non-polypoid adenoma detected.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Flat Adenoma Detection Rate (fADR)
19 Participants
21 Participants

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

SLPC is defined as the number of histologically confirmed serrated lesions detected, divided by the total number of colonoscopies.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Serrated Lesions Per Colonoscopy (SLPC)
0.34 serated lesions per colonoscopy
Interval 0.3 to 0.38
0.46 serated lesions per colonoscopy
Interval 0.42 to 0.5

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

SLDR is defined as the percentage of patients with at least one histologically confirmed serrated lesion detected.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Serrated Lesions Detection Rate (SLDR)
156 Participants
219 Participants

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

ADR\* is defined as ADR, but also includes histologically-confirmed intramucosal carcinoma and adenocarcinoma.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Adenoma Detection Rate Including Carcinoma (ADR*)
271 Participants
307 Participants

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

sADR is defined as the percentage of patients with at least one adenoma 5mm or smaller detected.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Small Adenoma Detection Rate (sADR)
201 Participants
236 Participants

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

PPC is defined as the total number of histologically-confirmed polyps found divided by the total number of colonoscopies performed, per study arm.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Polyps Per Colonoscopy (PPC)
1.03 Polyps per colonoscopy
Interval 0.95 to 1.11
1.32 Polyps per colonoscopy
Interval 1.24 to 1.41

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-treat

aADR is defined as the percentage of patients with at least one adenoma ≥ 10 mm, or any adenoma \< 10 mm, which was either of high-grade dysplasia (HGD) or villous or tubulovillous.

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=694 Participants
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=713 Participants
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
Advanced Adenoma Detection Rate (aADR)
60 Participants
59 Participants

SECONDARY outcome

Timeframe: Day 1

Population: Intent-to-Treat

FPR is defined as the proportion of colorectal lesions resected and biopsied and subsequently not histologically-confirmed to be clinically relevant colorectal polyps (e.g. a pathology finding of normal mucosa, inflammatory tissue, stool or debris, lymphoid aggregates).

Outcome measures

Outcome measures
Measure
Colonoscopy (Standard of Care)
n=715 Resected lesions
The control arm is colonoscopy with High Definition White Light Endoscopy (HD-WLE) per standard of care.
CADe Device
n=939 Resected lesions
The intervention arm is colonoscopy with HD-WLE per standard of care plus the CADe Device. Computer-Assisted Detection (CADe) Device: The CADe Device uses artificial intelligence to aid in identifying colorectal polyps during High Definition White Light Endoscopy (HD-WLE) based colonoscopies. This device connects the Gastroenterologist's colonoscopy video output source to the main monitor and highlights the regions of interest where the device detects a potential lesion. The CADe Device overlays graphical markers onto video from the endoscope camera and does not perform further processing to the endoscope video signal. This device is not intended to replace clinical decision making.
False Positive Rate (FPR)
0.22 proportion of resected lesions
Interval 0.19 to 0.26
0.31 proportion of resected lesions
Interval 0.28 to 0.35

Adverse Events

Colonoscopy (Standard of Care)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

CADe Device

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Dr. Scooter Plowman

Verily

Phone: 650-861-9783

Results disclosure agreements

  • Principal investigator is a sponsor employee PIs may publish, but there are limitations to protect confidential information and/or allow the sponsor to publish first.
  • Publication restrictions are in place

Restriction type: OTHER