Active clinical trials for "Colonic Diseases"

This prospective randomized controlled trial compared integrated water jet channel colonoscopy with traditional accessory channel colonoscopy in cecal insertion time among patients undergoing WE method colonoscopy.

The PeerScope B System™ by PeerMedical Ltd. is intended to provide visualization (via a video monitor) and therapeutic access to the lower intestinal tract. The lower intestinal tract includes, but is not restricted to the organs, tissues and subsystems: large bowel and cecum. The device is introduced rectally, as with any standard colonoscope when indications consistent with the need for the procedure are observed in the adult patient population. The purpose of this prospective clinical study is to establish the usability of the PeerScope B System™ when used during standard colonoscopy procedure. The study population is comprised of patients indicated for colonoscopy. The primary endpoint is reaching the cecum of the colon with PeerScope B System™.Secondary endpoints: The first secondary endpoint is the incidence of complications using the PeerMedical colonoscope. The second secondary endpoint is successful therapeutic interventions as biopsies, polypectomies, APC etc. The third secondary endpoint is the procedure time. The fourth secondary endpoint is the subjective evaluation of the additional view angle by the physician. The fifth secondary endpoint is patient satisfactory.

This prospective randomized controlled trial is to compare evaluate the optimal procedure sequence among patients undergoing water exchange colonoscopy.

Colonoscopy is the gold-standard for the evaluation of the colorectal mucosa. Colonoscopy quality indicators are the adenoma detection rate, the rate of cecal intubation and the bowel preparation. The role of diet in preparing for colonoscopy is not fully established. Currently there is not enough evidence available to choice between 3 days of low residue diet versus 1 day. The research hypothesis is that the low residue diet offers a non-inferior bowel preparation and an improved tolerance.

The purpose of this project is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine in real-time how a computer-aided detection (CADe) algorithm will perform when compared to standard screening or surveillance colonoscopy alone. Design will be a multi-center, prospective, unblinded randomized tandem colonoscopy study. 196 patients referred for either screening or surveillance colonoscopy will be included.

A randomized control trial comparing a standard bowel preparation for colonoscopy with an individualized bowel preparation strategy based on patient characteristics

A prototype colonoscope with an extra passively bending distal section has been developed by Olympus Japan (ref. publications). The present study (2006-2007) is testing refinements of this function.

The purpose of this study is to develop and validate the accuracy and reliability of an artificial intelligence(AI) system for bowel preparation quality scoring based of Boston Bowel preparation Scoring(BBPS). Then evaluate whether this AI system can help endoscopists to improve the quality of colonoscopy in clinical practice.

The purpose of this study is to evaluate the effect of a modified Prep and procedure on colon cleansing level and capsule excretion rate.

Small growths detected in the colon (polyps) during a colonoscopy may or may not have the potential to develop into cancer. However, since visual inspection alone cannot separate all potentially harmful polyps from harmless ones, the standard approach is to remove them all for histological lab examination, exposing patients to risk of injury and putting a significant demand on hospital resources. An accurate method of determining polyp type during endoscopy would enable the clinician to only remove potentially harmful polyps. A new endoscopic optical imaging probe (OPTIC), which analyses how light interacts with tissue, is proposed to do this. The probe is contained within a normal endoscope and uses white light and blue/violet laser light to illuminate the tissue. The reflected and fluorescent light emitted, along with normal colour pictures of the polyp surface, are measured and recorded to quantify specific characteristics of each type. Optical measurements of polyps detected in endoscopy clinics at Imperial College Healthcare NHS Trust will be analysed to determine if the signal can be used to differentiate different polyp types.