Active clinical trials for "Colonic Neoplasms"

An international, multicenter study to identify tumor molecular particularities and neoepitopes among participants with colorectal and pancreatic tumors undergoing surgery.

The aim of our study is to compare MAP (mean adenoma per colonoscopy) with ADR (adenoma detection rate) and PDR (polyp detection rate) of all colonoscopists in our department

In this study, we aimed to develop a predictive model of lymph node yield in a series of colon cancer resection specimens with detailed anatomic and surgical technique data.

This is a prospective randomized controlled study. investigators will randomly assign patients to the indocanine green (ICG) group and control (CL)group to compare the differences of lymph nodes dissection in station 253 between the two groups.

There are many factors involved in outlining the patient's profile and in defining which factors can be configured as risks related to the surgical act; for the modern surgeon it is no longer possible to identify the patient at risk of complications based on the mere age or some comorbidities historically considered more influential on the surgical outcome, but each patient must be evaluated in its entirety including age, fragility, comorbidity, state nutritional and sarcopenia and, if necessary, implementing preoperative therapeutic strategies aimed at minimizing the impact of some of these factors on the outcome of surgery. Our study aimed at creating, if possible, an "identikit" of the patient who is more likely to have serious postoperative complications; in order to improve the therapeutic decision and the approach to patients with severe surgical risk since choosing the right treatment for the right patient is essential to obtain a good result.

Even if colonoscopy is considered the reference standard for the detection of colonic neoplasia, polyps are still missed. The risk of early post-colonoscopy cancer appeared to be independently predicted by a relatively low polyp/adenoma detection rate. When considering the very high prevalence of advanced neoplasia in the FIT-positive enriched population, the risk of post-colonoscopy interval cancer due to a suboptimal quality of colonoscopy may be substantial. Available evidence justifies therefore the implementation of efforts aimed at improving adenoma detection rate, based on retraining interventions and on the adoption of innovative technologies, designed to enhance the accuracy of the endoscopic examination. Artificial intelligence seems to improve the quality of medical diagnosis and treatment. In the field of gastrointestinal endoscopy, two potential roles of AI in colonoscopy have been examined so far: automated polyp detection (CADe) and automated polyp histology characterization (CADx). CADe can minimize the probability of missing a polyp during colonoscopy, thereby improving the adenoma detection rate (ADR) and potentially decreasing the incidence of interval cancer. 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. The objective of this study was to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC).

The aim of this project is to audit the surgical care in patients treated for colorectal adenocarcinoma. This study focused on collecting data from all consecutive cases of colon and rectal adenocarcinoma operated at the National Institute of Oncology in Rabat during a two-years period. Using standardized forms, the investigators collected data relating to each stage of treatment: pre-therapeutic, surgical and post-operative in order to measure the quality of the surgical care delivered. These results were compared to established benchmarks and to similar audit studies carried out in other countries around the world.

Retrospective analysis on colonoscopies in the endoscopy unit of the Lyell McEwin Hospital.

This study evaluates strategies for the surveillance of post-polypectomy patients for the control of bladder cancer

The purpose of this study is to test a method for analyzing interactions between patients and doctors, the Roter Interaction Analysis System (RIAS). The RIAS measures the quality of communication between patients and their cancer doctors.