Colorectal Polyp Clinical Decision Support Device Study
CDSD
Evaluation of the Clinical Performance of an Investigational Real-Time Colorectal Polyp Clinical Decision Support Device (CDSD)
1 other identifier
interventional
2,379
1 country
1
Brief Summary
The study objective is to establish the efficacy of the colorectal polyp Clinical Decision Support Device (CDSD) in clinical use.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2020
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 10, 2020
CompletedFirst Posted
Study publicly available on registry
June 18, 2020
CompletedStudy Start
First participant enrolled
November 5, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 18, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
March 30, 2023
CompletedResults Posted
Study results publicly available
April 17, 2025
CompletedApril 17, 2025
April 1, 2025
1.9 years
June 10, 2020
March 12, 2024
April 1, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Specificity and Sensitivity CDSD-unaided and CDSD-aided Endoscopist Predictions of Diminutive Polyp Histology
CDSD-unaided and CDSD-aided predictions will be compared with the ground truth pathology results.
Upon receipt of pathology results (within one week)
Secondary Outcomes (6)
1. Number of Unaided NBI Prediction and Pathology Result of Diminutive Polyps Detected by the Endoscopist and Confirmed by Pathology for Which CDSD Does Not Return a Prediction.
Upon receipt of pathology results (within one week)
2. Sensitivity, Specificity, Negative Predictive Value (NPV), Positive Predictive Value (PPV) of Unaided Endoscopist Prediction Using White Light.
Upon receipt of pathology results (within one week)
3. Sensitivity, Specificity, NPV, PPV of Unaided Endoscopist Prediction Using NBI Compared With Pathology.
Upon receipt of pathology results (within one week)
4. Sensitivity, Specificity, NPV, PPV of CDSD Prediction Compared With Pathology.
Upon receipt of pathology results (within one week)
5. Sensitivity, Specificity, NPV, PPV of CDSD-aided Endoscopist Prediction Compared With Pathology.
Upon receipt of pathology results (within one week)
- +1 more secondary outcomes
Study Arms (1)
Single-arm
EXPERIMENTALCDSD un-aided vs. CDSD-aided predictions of diminutive polyp histology relative to ground-truth pathology. All patients will have both unaided and aided predictions.
Interventions
Standard of care colonoscopy, with added use of CDSD as an adjunctive tool
The investigational device consists of software residing on a dedicated computer enabling display of predicted diminutive polyp histology during colonoscopy.
Eligibility Criteria
You may qualify if:
- ≥ 18 years of age
- Willing and able to provide informed consent
- Subjects undergoing colonoscopy
You may not qualify if:
- Polyposis syndromes including Familial Adenomatous Polyposis Syndrome
- Inflammatory Bowel Disease
- Hereditary Non Polyposis Colorectal Cancer
- Severe coagulopathy
- Subjects scoring less than 6 on the Boston Bowel Prep Score or scoring less than 2 in any colon segment.
- No diminutive polyps detected during colonoscopy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Borland Groover
Jacksonville, Florida, 32256, United States
Related Publications (1)
Rex DK, Bhavsar-Burke I, Buckles D, Burton J, Cartee A, Comar K, Edwards A, Fennimore B, Fischer M, Gerich M, Gilmore A, Hamdeh S, Hoffman J, Ibach M, Jackson M, James-Stevenson T, Kaltenbach T, Kaplan J, Kapur S, Kohm D, Kriss M, Kundumadam S, Kyanam Kabir Baig KR, Menard-Katcher P, Kraft C, Langworthy J, Misra B, Molloy E, Munoz JC, Norvell J, Nowak T, Obaitan I, Patel S, Patel M, Peter S, Reid BM, Rogers N, Ross J, Ryan J, Sagi S, Saito A, Samo S, Sarkis F, Scott FI, Siwiec R, Sullivan S, Wieland A, Zhang J, Repici A, Hassan C, Byrne MF, Rastogi A. Artificial Intelligence for Real-Time Prediction of the Histology of Colorectal Polyps by General Endoscopists. Ann Intern Med. 2024 Jul;177(7):911-918. doi: 10.7326/M24-0086. Epub 2024 May 21.
PMID: 38768450DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Jeremy Bolt, Global GI Lead
- Organization
- Olympus Corporation
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Allocation
- NA
- Masking
- NONE
- Masking Details
- The pathologist (outcomes assessor) is blinded to the endoscopist predictions and CDSD prediction.
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 10, 2020
First Posted
June 18, 2020
Study Start
November 5, 2020
Primary Completion
September 18, 2022
Study Completion
March 30, 2023
Last Updated
April 17, 2025
Results First Posted
April 17, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- Immediately - 3 years