View clinical trials related to Colonic Polyps.
Filter by:The primary goal of this study is to estimate the effectiveness of a medical decision support system based on artificial intelligence in the endoscopic diagnosis of benign tumors. Researchers will compare Adenoma detection rate between "artificial intelligence - assisted colonoscopy" and "conventional colonoscopy" groups to evaluate the clinical effectiveness of artificial intelligence model.
Large (≥20mm) colorectal polyps often harbor areas of advanced neoplasia, making them immediate colorectal cancer (CRC) precursors. Such polyps have to be completely removed to prevent CRC and to avoid surgery and/or adjuvant therapy. The laterally spreading lesions (LSLs) are removed via endoscopic mucosal resection (EMR). However, recurrence is common. Recent studies have found that the use of hybrid argon plasma coagulation (h-APC) for the ablation of the margin and base of resection post-EMR could significantly reduce the recurrence rate, and complete closure of the post-EMR defect can prevent other adverse pre- and post-procedure outcomes such as bleeding. It is hypothesized that hypothesize that performing hybrid argon plasma coagulation (h-APC) margin and base ablation post-EMR for large (≥20mm) colorectal LSLs will demonstrate a lower recurrence rate compared to Snare Tip Soft Coagulation (STSC) margin ablation. It is also hypothesized that performing complete closure of the EMR defect will result in lower rates of adverse events compared to cases where no defect closure is performed.
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.
To conduct an single blinded, non-randomized, prospective, single center trial to validate the performance of a novel state-of-the-art Artificial Intelligence model (AI-Model) for colorectal lesion detection during routine diagnostic colonoscopy and to evaluate its feasibility in daily endoscopy. Consecutive patients referred for a screening, surveillance or diagnostic colonoscopy will be included
Management of unexpected malignant colorectal polyps removed endoscopically can be challenging due to the risk of residual tumor and lymphatic spread. International studies have shown that in patients choosing surgical management instead of watchful waiting, 54-82% of bowel resections are without evidence of residual tumor or lymphatic spread. As surgical management entails risks of complications and watchful waiting management entails risks of residual disease or recurrence, a clinical dilemma arises when choosing a management strategy. Shared decision making (SDM) is a concept that can be used in preference sensitive decision making to facilitate patient involvement, empowerment, and active participation in the decision making process. This is a clinical multicenter, non-randomized, interventional phase II study involving Danish surgical departments planned to commence in the first quarter of 2024. The aim of the study is to examine whether shared decision making and using a patient decision aid (PtDA) in consultations affects patients' choice of management compared with historical data. The secondary aim is to investigate Patient Reported Experience Measures (PREMs) and Patient Reported Outcome Measures (PROMs) using questionnaire feedback directly from the patients.
The purpose of the study is to assess whether the AI characterisation system of the CADDIE device improves the endoscopists accuracy in the optical diagnosis of diminutive colorectal polyps in the bowel during colonoscopy. Participants will either have a colonoscopy with the assistance of the CADDIE device characterisation AI system ("intervention group") or have a colonoscopy in line with routine clinical practice i.e., without the CADDIE device characterisation AI system ("control group"). The randomisation method of this trial will allocate enrolled participants to the "intervention" group and to the "control" group by a technique similar to flipping a coin.
Underwater EMR (UEMR) is an emerging technique for endoscopic resection. The purpose of this research is to observ wether the UEMR for medium-sized pedunculated polyps is safe and effective.
randomized, controlled single center, single investigator study mainly in colorectal screening population in daily practice with and without artificial intelliegence (AI) named DiscoveryTM from Pentax medical. Patient randomly are allocated to one of four groups: Pentax i10 colonoscopes without any additional device, Pentax i 10 with DiscoveryTM (AI), Pentax i 10 with EndocuffTM and Pentax i10 with EndocuffTM and DiscoveryTM (AI). The different groups are compared in terms of the different parameters: e.g. time of endoscopy, polyps (PDR) and adenoma detected (ADR).
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).
This prospective observational study will evaluate the performance of the DiLumen C2 Endolumenal Interventional Platform and its instruments. Up to 100 subjects will be enrolled at up to 5 clinical sites. Patient data will be collected before the procedure, during the procedure, and up until the patient is discharged from the hospital.