Active clinical trials for "Colonic Polyps"

Conflicting guideline recommendations for screening colonoscopy result due to scant data upon which to develop appropriate recommendations. No previous study has compared the prevalence of advanced adenomas or adenomas (any size) among 40-49 year old individuals with a first degree relative (FDR) with colorectal cancer (CRC) versus 40-49 year old average risk individuals with no family history of CRC. The purpose of this study is to determine the prevalence of colon adenomas in 40-49 year old individuals and identify risk factors associated with the presence of advanced adenomas. This data will provide evidence to determine appropriate colon cancer screening guidelines in 40-49 year old persons with a family history of colon polyps or colorectal cancer.

The purpose of this study is to evaluate the performance of the SEPT9 gene methylation assay in Colorectal cancer (CRC) high-risk population in Chinese hospitals using the opportunistic screening method. The trial plans to evaluate a Chinese domestic SEPT9 assay kit produced by BioChain (Beijing) Science and Technology Corporation, who is a close partner of Epigenomics AG, the producer for Epi proColon 2.0 CE.

The study hypothesis is whether digestion enzyme(Combizym) and intestinal flora drugs(Bifidobacteria) can decease recurrence rate of colon polyps

This safe and simple technique without extra cost would allow us to improve R0 resection ratio and so decrease relapses and the time between two different exams

The goal of this study is to evaluate the interest of second-generation Endocuff Vision (ECV) to improve Adenoma detection rate and / or Polyp detection rate in routine colonoscopy. This is a prospective comparative cohort, on 1034 patients, 517 patients with ECV in prospective group and 517 without ECV in retrospective group

The Italian screening program invites the resident population aged 50-74 for Fecal Immunochemical Test (FIT) every 2 years. Subjects who test positive are referred for colonoscopy. Maximizing adenoma detection during colonoscopy is of paramount importance in the framework of an organized screening program, in which colonoscopy represent the key examination. Initial studies consistently show that Artificial iIntelligence-based systems support the endoscopist in evaluating colonoscopy images potentially increasing the identification of colonic polyps. However, the studies on AI and polyp detection performed so far are mostly focused on technical issues, are based on still images analysis or recorded video segments and includes patients with different indications for colonoscopy. At the best of our knowledge, data on the impact on AI system in adenoma detection in a FIT-based screening program are lacking. The present prospective randomized controlled trial is aimed at evaluating whether the use of an AI system increases the ADR (per patient analysis) and/or the mean number of adenomas per colonoscopy in FIT-positive subjects undergoing screening colonoscopy. Therefore Patients fulfilling the inclusion criteria are randomized (1:1) in two arms: A) patients receive standard colonoscopy (with high definition-HD endoscopes) with white light (WL) in both insertion and withdrawal phase; all polyps identified are removed and sent for histopathology examination; B) patients receive colonoscopy examinations (with HD endoscopes) equipped with an AI system (in both insertion and withdrawal phase); all polyps identified are removed and sent for histopathology examination. In the present study histopathology represents the reference standard.

The main goal of this trial is to validate a new method for colorectal polyp screening based on stool microbiome signatures. 600 Individuals who are scheduled / planned to undergo a colonoscopy will be recruited for this study and a stool sample and an optional saliva sample will be collected. Analyze process will be conducted on the microbiome of the samples given.

The purpose of this study is to produce a user-friendly tool- in the form of a questionnaire - to accurately assess early quality of life in patients after abdominal colorectal surgery from the first day after surgery to 6 months after. The study will also compare this questionnaire to the other currently available assessment tools. Patients are invited to participate if they are undergoing abdominal colorectal surgery at University Hospitals of Cleveland.

In recent years, with the continuous development of artificial intelligence, automatic polyp detection systems have shown its potential in increasing the colorectal lesions. Yet, whether this system can increase polyp and adenoma detection rates in the real clinical setting is still need to be proved. The primary objective of this study is to examine whether a combination of colonoscopy and a deep learning-based automatic polyp detection system is a feasible way to increase adenoma detection rate compared to standard colonoscopy.

Several imaging technologies have been developed in order to enable the endoscopists to differentiate neoplastic from non-neoplastic lesions. The real-time prediction of polyps histology is clinically relevant as diminutive polyps represent the majority of polyps detected during colonoscopy and have a very low risk of harboring advanced histology or invasive carcinoma. Thus, an optical diagnosis would allow diminutive polyps to be resected and discarded without pathological assessment or left in place without resection, with an enormous cost-saving potential. Recently, the American Society of Gastrointestinal Endoscopy (ASGE) has set the Preservation and Incorporation of Valuable endoscopic Innovation (PIVI) which defined accuracy threshold to be met, in order to consider a new technology ready to be incorporate into clinical practice. Blue Light Imaging (BLI) is a new chromoendoscopy technology integrated in the latest generation ELUXEOTM 7000 endoscopy platform (Fujifilm Co, Tokyo, Japan), based on the direct (i.e. not filtered) emission of blue light with short wavelength (410nm), that enhances visibility of both microvascular and superficial mucosal pattern. In a recent randomized trial BLI was superior to high-definition white light (HDWL) in the real time characterization of subcentimetric and diminutive colonic polyps. Nevertheless, in this study the paucity of diminutive rectosigmoid polyps analyzed does not allow to draw definite conclusions as the meeting of PIVI thresholds are concerned. Similarly, the low numbers of patients evaluated limited the per-patient analysis. Therefore further studies adequately powered to this clinically end-point were advocated. Additionally, when the study was performed a BLI dedicated classification for optical diagnosis of colonic polyps was not available, whereas recently a specific classification (the BLI Adenoma Serrated International Classification-BASIC) has been developed and a specific training set has been settled. In the present study the investigators prospectively evaluate whether the use of BLI-assisted optical characterization of diminutive polyps using BASIC classification by specifically trained endoscopists may met PIVI thresholds and particularly if it allow the endoscopists to achieve > 90% correct assignment of post-polypectomy surveillance intervals when combined with the histopathology assessment of polyps >5 mm in size.