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Colonic Adenoma clinical trials

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NCT ID: NCT06160466 Recruiting - Adenoma Clinical Trials

Assessing the Additional Neoplasia Yield of Computer-aided Colonoscopy in Follow-up Patients in a Screening Setting

GENIAL-CO FU
Start date: December 16, 2020
Phase: N/A
Study type: Interventional

The goal of this clinical trial is to evaluate the diagnostic yield of CADe in a consecutive population undergoing colonoscopy. The main question it aims to answer is the Adenoma Detection Rate (ADR). Participants undergoing colonoscopy for follow-up in a screening setting will be randomized in a 1:1 ratio to either receive Computer-Aided Detection (CADe) colonoscopy or a conventional colonoscopy (CC). GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis.Researchers will compare the CADe group and the CC-group to see if CAD-e can increase the ADR significantly.

NCT ID: NCT05870332 Recruiting - Colo-rectal Cancer Clinical Trials

Nationwide Study of Artificial Intelligence in Adenoma Detection for Colonoscopy

NAIAD
Start date: October 16, 2023
Phase:
Study type: Observational

The goal of this trial is to determine whether use of a Computer Assisted Detection (CADe) programme leads to an increase in ADR for either units or individual colonoscopists, independent of setting or expertise

NCT ID: NCT05862948 Completed - Adenoma Colon Clinical Trials

Accuracy of Endo-aid in Consecutive Patients Referred for Colonoscopy

ACCENDO-Colo
Start date: October 30, 2021
Phase: N/A
Study type: Interventional

The goal of this clinical trial is to evaluate the diagnostic yield of CADe in a consecutive population undergoing colonoscopy. The main question it aims to answer is the Adenoma Detection Rate (ADR). Participants undergoing colonoscopy will be randomized in a 1:1 ratio to either receive Computer-Aided Detection (CADe) colonoscopy or a conventional colonoscopy (CC). Researchers will compare the CADe group and the CC-group to see if CAD-e can increase the ADR significantly.

NCT ID: NCT05836064 Not yet recruiting - Colonic Neoplasms Clinical Trials

GastroBot: Artificial Intelligence Applied to Bowel Preparation

Start date: January 1, 2024
Phase: N/A
Study type: Interventional

It is estimated that about 20% of colonoscopies have inadequate preparation. (5) This is associated with lengthy procedures and less detection of adenomas, reduces the screening intervals, and increases the costs and risks of complications. Several strategies have been proposed to improve the quality of bowel preparation. Mobile healthcare Apps have been developed to increase adherence to bowel preparation agents, improving the quality of bowel preparation. However, adherence to mobile healthcare Apps is also a quality criterion and a pending problem to solve with this new technology. GastroBot is a new technology based on artificial intelligence that allows, through a software bot, to carry out a personalized follow-up of the patient's bowel cleansing, advising the patient to overcome contingencies that arise with the preparation, which in other circumstances could lead to the failure of it. The primary aim of this study is to determine the improvement in bowel preparation after GastroBot assistance compared with the traditional explanation. As a secondary aim, this study also pursues to determine adenoma and polyp detection rates (ADR and PDR, respectively), bowel preparation agents' tolerance, and GastroBot functionality.

NCT ID: NCT05133544 Recruiting - Colonic Polyp Clinical Trials

Endocuff With or Without AI-assisted Colonoscopy

Start date: May 1, 2022
Phase: N/A
Study type: Interventional

Colonoscopy is considered the gold standard for diagnosis of colonic polyps. However, it was reported that colonoscopy could still miss colonic polyps. Many attempts have been made to improve the detection rate of colonoscopy. Artificial intelligence (AI) is a promising new technique to improve detection rate of colonic adenoma. However, it remains uncertain whether whether the combined use of Endocuff and AI assisted examination could help to further improve the adenoma detection rate. This is a prospective randomized trial comparing the use of endocuff with AI, AI alone or conventional colonoscopy examination on adenoma detection rate.

NCT ID: NCT04948567 Completed - Bowel Preparation Clinical Trials

Efficacy of Split-dose of Oral MMS for Bowel Preparation in Elderly Patients

Start date: January 30, 2017
Phase: N/A
Study type: Interventional

Adequate bowel preparation is critical for successful colonoscopy and a large volume of PEG was required for bowel preparation in patients undergoing colonoscopy. The investigators conducted a a prospective, randomized, controlled study to compare low dose of oral magnesium sulfate solution with high dose PEG. The investigators found that patients who took low dose of oral magnesium sulfate solution had similar bowel preparation quality to patients who took PEG,but accompanied with fewer adverse events and better tolerance.

NCT ID: NCT04778566 Withdrawn - Colorectal Cancer Clinical Trials

Evaluating the Cologuard Test for Use in Lynch Syndrome

Start date: November 2021
Phase:
Study type: Observational

This study is aiming to enroll 90 patients with genetically confirmed Lynch Syndrome (LS) from Geisinger's High Risk Colorectal Cancer Clinic (HRC). Upon enrollment in the study, a Cologuard test will be ordered and the results will be blinded until data analysis. Patients enrolled in the study will also undergo a colonoscopy as part of their routine HRC visit.

NCT ID: NCT04710251 Not yet recruiting - Colonic Polyp Clinical Trials

Effectiveness of Using the Speedometer During Colonoscopy

Start date: March 1, 2021
Phase: N/A
Study type: Interventional

PURPOSE OF PROTOCOL Objective: To evaluate if the speedometer based on the real-time image analysis can help endoscopists increase their withdrawal time, which is defined as time spent examining the colon during withdrawal of the colonoscope, during colonoscopy. Hypothesis: The trial hypothesis is that use of the speedometer during colonoscopy will increase the average withdrawal time, which is defined as time spent examining the colon during withdrawal of the colonoscope, by 1.6 minutes, possibly increasing the performance of the participating endoscopists. Our objective is to clarify the clinical benefits of this digital tool in colonoscopy. Endpoint: Withdrawal time difference between colonoscopies done without the speedometer (control period) and colonoscopies done with the speedometer (intervention period).

NCT ID: NCT04700410 Completed - Colorectal Cancer Clinical Trials

Bowel Cleansing Performance of the Pure-Vu System in Patients With a History of Poor Bowel Preparation

Start date: June 1, 2021
Phase: N/A
Study type: Interventional

The diagnostic accuracy and safety of colonoscopy highly depends on the quality of the pre-procedural bowel preparation. A past history of poor bowel preparation is the most important risk factor of inadequate bowel cleansing at the next colonoscopy. This study aims to evaluate if an adequate level of bowel cleansing can be achieved with the Pure-Vu System in patients with previous poor bowel preparation, in a single arm international multicenter feasibility study.

NCT ID: NCT04512729 Recruiting - Colonic Neoplasms Clinical Trials

Detection Of Colonic Polyps In India: Diagnostic Colonoscopy

DoCPI
Start date: August 4, 2020
Phase:
Study type: Observational [Patient Registry]

Colorectal carcinoma (CRC) is the third most common cancer in male and female worldwide. In India, it is the fourth most common cause of cancer in males and third most common cancer in female. Age, smoking, colonic adenomatous polyp, family history are traditional risk factor for CRC. The vast majority of CRC results from malignant transformation from adenoma, which is called as adenoma carcinoma sequence. These adenomatous polyps grows slowly over many years and malignant transformation eventually occurs over 10 years. So, the early detection and removal of polyp at early stage should benefit in preventing CRC.