Clinical trials: Diminutive Colon Polyp
Colonic Polyps
Evaluation of Colonic Diminutive Polyps With Electronic Filters
Diminutive polyps, measuring between 1 and 5 mm, represent the vast majority of colorectal polyps encountered during colonoscopy.
- Trial name
- NCT02711475
- Where
- Italy
- Volunteers
- 800 people
- Sponsor
- Ospedale Cardinal Massaia
Small Colon Polyps, Linked Color Imagimg
The Characterization of Small and Diminutive Colonic Polyps in LCI
Colorectal cancer is a maior cause of morbidity and mortality worldwide.Colonoscopy and removal of all adenomas is the most efficient method to prevent colorectal cancer.The most colorectal polyps detected are small(<10mm) and…
- Conditions
- Small Colon Polyps, Linked Color Imagimg, Diminutive Colon Polyps
- Trial name
- NCT03351257
- Testing
- observation of surface patterns and colors of polyps
- Where
- 2 sites in China
- Volunteers
- 300 people
- Sponsor
- Affiliated Hospital to Academy of Military Medical Sciences
Diminutive Colon Polyp, Adenomatous Polyp
Comparative Study of Postprocessing Imaging Systems for Diminutive Colonic Polyps
Several novel imaging technologies are currently used for detection and differentiation of colonic polyps during colonoscopy, such as NBI (Olympus), FICE (Fujinon), and i-Scan (Pentax).
- Conditions
- Diminutive Colon Polyp, Adenomatous Polyp, Hyperplastic Polyp, Colonoscopy
- Trial name
- NCT01133041
- Testing
- Observation using NBI system, Observation using i-Scan system
- Where
- South Korea
- Volunteers
- 142 people, healthy volunteers welcome
- Sponsor
- Soon Chun Hyang University
Colorectal Neoplasms, Colorectal Polyp
Real-time Diagnosis of Diminutive Colorectal Polyps Using AI
Correct endoscopic prediction of the histopathology and differentiation between benign, pre-malignant, and malignant colorectal polyps (optical diagnosis) remains difficult.
- Trial name
- COMET-OPTICAL (NCT05349110)
- Testing
- Computer-aided diagnosis (CADx) systems
- Where
- 2 sites in Netherlands
- Volunteers
- 105 people
- Sponsor
- Maastricht University Medical Center
Colonic Neoplasms
Artificial Intelligence for Leaving in Situ Colorectal Polyps.
This two parallel-arms, randomized, multicenter trial is aimed at investigating safety and effectiveness of a Computer-Aided-Diagnosis (CADx)-assisted leave-in-situ strategy (Leave-In-Situ Arm) as opposed to a resect-all strategy…
- Trial name
- NCT05500248
- Testing
- Leave In Situ, Standard
- Where
- Italy
- Volunteers
- 919 people, healthy volunteers welcome
- Sponsor
- University of Roma La Sapienza
Colonic Polyp, Intestinal Polyp
Cold Snare Polypectomy Versus Hot Snare Polypectomy for Diminutive and Small Colorectal Polyps
Background:The optimal technique for removal of diminutive or small colorectal polyps is debatable. Objective:To compare the complete resection rates of cold snare polypectomy (CSP) and hot snare polypectomy (HSP) for the removal…
- Trial name
- CSPVsHSP (NCT02717598)
- Testing
- cold snare polypectomy, hot snare polypectomy
- Where
- China
- Volunteers
- 198 people
- Sponsor
- Wulumuqi General Hospital of Lanzhou Military Command
Colonoscopy, Colonic Polyps
Implementation of Optical Diagnosis for Diminutive Polyps Amongst Endoscopists: Training and Long-term Quality Assurance
In this study, Dutch gastroenterologists who are certified for performing colonoscopies on FIT-positive patients in the Dutch population screening program are trained in optical diagnosis with validated methods.
- Trial name
- DISCOUNT2 (NCT02407925)
- Testing
- Feedback
- Where
- 13 sites in Netherlands
- Volunteers
- 3,144 people, healthy volunteers welcome
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Colonic Polyps
UEMR vs. CEMR for Diminutive Non-pedunculated Colorectal Polyps
This clinical trial is being conducted to compare the efficacy and safety of two standard methods of polypectomy，Conventional Endoscopic Mucosal Resection（EMR）and Underwater Endoscopic Mucosal Resection（UEMR），for small colorectal…
- Trial name
- NCT03833492
- Testing
- Underwater EMR
- Where
- 3 sites in China
- Volunteers
- 130 people
- Sponsor
- Ningbo No. 1 Hospital
Colonic Polyps
Artificial Intelligence in the Characterization of Colorectal Polyps
Current guidelines recommend resection and histopathological analyses of all colorectal polyps. Real-time optical diagnosis can obviate non-neoplastic polyp resection ("diagnose-and-leave-behind") and histopathological analyses…
- Trial name
- NCT04749277
- Testing
- CAD EYE® (Fujifilm, Europe, Gesellschaft mit beschränkter Haftung, Dusseldorf, Germany)
- Where
- Portugal
- Volunteers
- 197 people
- Sponsor
- Unidade Local de Saúde de Coimbra, EPE
Colorectal Cancer
Real-Time Characterizations of Diminutive Colorectal Polyps Using Narrow Band Imaging
Colorectal cancer is the second leading cause of cancer related death in the United States. Colonoscopy is the most commonly performed screening procedure and diminutive polyps (<5mm) are the most commonly found polyps during…
- Trial name
- NCT02441998
- Testing
- Education intervention: Training in Narrow Band Imaging
- Volunteers
- 26 people
- Sponsor
- University of Michigan
Colonic Adenomatous Polyp
Impact of Computer-aided Optical Diagnosis (CAD) in Predicting Histology of Diminutive Rectosigmoid Polyps: a Multicenter Prospective Trial (ABC Study).
Recently, a CNN-based artificial intelligence (AI) system for polyp characterization has been developed by Fujifilm Co., Tokyo, Japan. It works in conjunction with BLI system.
- Trial name
- ABC (NCT04607083)
- Testing
- Polyp carachterization by combing endoscopist evaluation and Ai output
- Where
- Italy
- Volunteers
- 1,134 people
- Sponsor
- Valduce Hospital
Polyp of Large Intestine, Colonic Polyps
Efficacy and Safety of a New Polypectomy Snare for Cold-polypectomy for Small Colorectal Polyps
Colorectal cancer is a major cause of morbidity and mortality in Western countries. Scientific studies have shown that endoscopic polypectomy is efficacious in preventing CRC incidence and mortality.
- Conditions
- Polyp of Large Intestine, Colonic Polyps, Colon Nos Polypectomy Tubular Adenoma, Complications
- Trial name
- NCT02245854
- Testing
- Exacto™
- Where
- 3 sites in Italy
- Volunteers
- 250 people
- Sponsor
- Istituto Clinico Humanitas
Colorectal Neoplasms
Artificial Intelligence for Diminutive Polyp Characterization
Artificial intelligence is a promising tool that may have a role in characterizing colon epithelial lesions (CADx), helping to get a reliable optical diagnosis regardless of the endoscopist experience.
- Trial name
- NCT05391477
- Testing
- GI-Genius artificial intelligence
- Where
- Spain
- Volunteers
- 643 people
- Sponsor
- Hospital Universitario La Fe
Colonic Polyp
Implementation of Optical Diagnosis of Diminutive Colorectal Polyps: DISCARD3 Study (Incorporating AI-DETECT)
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.
- Trial name
- NCT04710693
- Testing
- CAD polyp-detection system
- Where
- United Kingdom
- Volunteers
- 614 people, healthy volunteers welcome
- Sponsor
- London North West Healthcare NHS Trust
Polyp of Colon
The Non-Optical Resect and Discard Study (NORD)
Eliminating the need for conventional histopathological assessment of diminutive colon polyps - The Non-Optical Resect and Discard (NORD) study
- Trial name
- NORD (NCT04032912)
- Testing
- iScan
- Where
- Canada
- Volunteers
- 1,200 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Benign Polyps of Large Intestine
Resect and Discard Approach to Diminutive Colonic Polyps
Resect and discard (RD) is a new paradigm for management of diminutive colorectal polyps wherein histology is determined by real-time endoscopic imaging; polyps are then resected and discarded rather than sent for…
- Trial name
- RD (NCT01877525)
- Testing
- Colonoscopy
- Where
- United States
- Volunteers
- 618 people, healthy volunteers welcome
- Sponsor
- Washington University School of Medicine
Colorectal Polyp
Prediction of Diminutive/Small Polyp Histology: Didactic vs. Computer-based Training
Bowel cancer is one of the most common cancers and the best method of diagnosing it is through endoscopic examination of the bowel (colonoscopy).
- Trial name
- NCT03843567
- Testing
- Endoscopic characterisation training
- Volunteers
- 160 people, healthy volunteers welcome
- Sponsor
- University of Birmingham