View clinical trials related to Colorectal Polyp.
Filter by:Colorectal cancer is the most frequent tumor in our environment if both sexes are considered together. Every year almost 800 cases are diagnosed in the districts of Tarragona. A little more than half of colorectal cancers are cured with surgery, with or without the addition of complementary treatments with chemotherapy and/or radiation therapy. Those who are not cured is because at the time of diagnosis the disease has already spread or they spread after having been treated surgically with curative intent. The purpose of the EarlyCRC project is to determine whether metabolites (substances of low molecular weight) can be found in the urine and stool of patients with colorectal cancer or polyps that can be easily and cheaply differentiated (urine or stool analysis) between the patients affected by colorectal cancer or polyps, from healthy individuals. For the identification of these possible metabolites, the urine analysis will be performed using the usual techniques in metabolomics, which studies the existing metabolites in biological processes.
Accurate classification of growths in the large bowel (polyps) identified during colonoscopy is imperative to inform the risk of colorectal cancer. Reliable identification of the cancer risk of individual polyps helps determine the best treatment option for the detected polyp and determine the appropriate interval requirements for future colonoscopy to check the site of removal and for further polyps elsewhere in the bowel. Current advanced endoscopic imaging techniques require specialist skills and expertise with an associated long learning curve and increased procedure time. It is for these reasons that despite being introduced in clinical practice, uptake of such techniques is limited and current methods of polyp risk stratification during colonoscopy without Artificial intelligence (AI) is suboptimal. Approximately 25% of bowel polyps that are removed by major surgery are analysed and later proved to be non-cancerous polyps that could have been removed via endoscopy thus avoiding anatomy altering surgery and the associated risks. With accurate polyp diagnosis and risk stratification in real time with AI, such polyps could have been removed non-surgically (endoscopically). Current Computer Assisted Diagnosis (CADx, a form of AI) platforms only differentiate between cancerous and non cancerous polyps which is of limited value in providing a personalised patient risk for colorectal cancer. The development of a multi-class algorithm is of greater complexity than a binary classification and requires larger training and validation datasets. A robust CADx algorithm should also involve global trainable data to minimise the introduction of bias. It is for these reasons that this is a planned international multicentre study. The Investigators aim to develop a novel AI five class pathology prediction risk prediction tool that provides reliable information to identify cancer risk independent of the endoscopists skill. These 5 categories are chosen because treatment options differ according to the polyp type and future check colonoscopy guidelines require these categories
This study aims to develop a highly sensitive, specific, and cost-effective blood assay for early detection of colorectal adenomas and cancer, using advanced machine learning and state-of-the-art biological analyses.
The goal of this study is to learn about the epigenetic and genetic regulation (microRNA/mRNA) of colorectal polyps and their evolvement as polyps and to colorectal cancer. Furthermore, the study aims at investigating whether certain epigenetic features, linked to polyps and/or cancer are traceable in blood samples. The main questions the study aims to answer are: 1. Are there specific microRNA/mRNA that are expressed in different types of polyps and cancers and their respective stages? 2. Is microRNA/mRNA expression in polyps and cancer traceable in blood from the same patient? 3. Is the intestinal microbiata correlated with colorectal polyps and cancer and their microRNA/mRNA expression? Type of study: clinical trial Participant population Participants consist of patients undergoing a scheduled colonoscopy where a polyp or cancer is discovered. Healthy controls, with normal colonoscopy findings will be enrolled. Biopsies will be obtained from polyps/cancers and from normal surrounding intestinal mucosa. Biopsies will be obtained from defined intestinal locations from healthy controls. Blood samples will be collected from all participants. Researchers will compare microRNA/mRNA and microbiota in patients with polyps/cancers and their respective stages as well as healthy controls. Comparisons include biopsies and blood samples.
Colorectal cancer is prevented by colonoscopy and polypectomy. Failure to recognize the endoscopic resection scar after Endoscopic Mucosal Resection (EMR) risks unrecognized recurrent or residual adenoma (RRA), which may propagate into post-colonoscopy colorectal cancer. Expert series suggest scar recognition and interrogation is well performed with a high negative predictive value of endoscopic imaging vs histopathology. In this study the authors will investigate the performance of endoscopic imaging in detecting RRA at an endoscopic resection scar amongst general endoscopist and the impact of a learning intervention on recognition of RRA.
Colorectal cancer (CRC) is a malignant tumour originating from the colorectal mucosal epithelium, with rising incidence and mortality rates. Approximately 90% of CRC develops from colorectal polyps, which are considered precancerous lesions of CRC, especially adenomatous polyps. If removed endoscopically during the polyp stage, 70%-90% of CRC can be prevented. However, current colonoscopy examinations have a high miss rate for polyps. Studies have shown that the miss rates for polyps and adenomas after colonoscopy can reach 22%-28% and 12%-26%, respectively. The "2014 Chinese Guidelines for Early Screening and Endoscopic Diagnosis and Treatment of Colorectal Cancer" mentions that the observation method during colonoscopy starts from the rectum and progresses forward to the cecum, with observations made during withdrawal. However, in actual clinical practice, it is found that single withdrawal observation is not enough, as this examination approach is prone to many missed polyps. The likely reason is that the colon is in a compressed state during withdrawal observation. Single-operator colonoscopy is currently the mainstream insertion method internationally, and the essence of the single-operator technique is "short-axis reductions", meaning that the colonoscope maintains a straight configuration throughout the entire examination. The average adult colon length is about 1.5m, but the distance reached by the colonoscope during the single-operator technique is often between 70-80cm, indicating compression of the colon. In addition, colonic folds become more dense when compressed, making it easier for lesions like polyps to hide within or near folds, leading to misses. The sigmoid colon, with the most turns in the entire large intestine, is also the part most prone to compression during colonoscopy insertion. Correspondingly, it is also more prone to misses during withdrawal observation. Although some scholars proposed repeating withdrawal to improve lesion detection rates, whether it is performed twice or three times, only compressed colons are observed. In actual clinical work, many polyps can only be found during insertion. The investigators propose performing a second insert specifically for the easily compressed sigmoid colon. During the second insert, the "short-axis reduction" technique should not be used. Instead, the folds should be deliberately advanced into, which helps fully extend the compressed sigmoid colon to shallow or eliminate the folds, allowing observation during advancement to achieve effects beyond multiple withdrawals, finding hidden lesions within or near folds to improve colonoscopy quality. Therefore, to explore whether observing during a second sigmoid colon advancement can further improve the adenoma detection rate to improve colonoscopy quality and reduce interval cancers, the investigators conducted this study.
The goal of this observational study was to assess the degree of agreement between the endoscopic and anatomopathological diagnosis of sessile serrated colorectal lesions in adult patients undergoing colonoscopy in Hospital Sírio-Libanes. The main questions it aimed to answer were: - The degree of agreement between endoscopic and anatomopathological diagnosis of sessile serrated colorectal lesions by calculating the Kappa Value of agreement. - To establish the detection rate of sessile serrated lesions and adenomas in the Endoscopy Department at Hospital Sírio-Libanês. - To evaluate the degree of agreement between endoscopic and anatomopathological diagnosis of sessile serrated colorectal lesions based on the resection method. - To assess the accuracy, positive predictive value, and negative predictive value of endoscopic diagnosis of serrated lesions compared to anatomopathological diagnosis. The data were prospectively collected through a form specifically designed for this project, that was completed immediately after the examination by the performing colonoscopist. All patients enrolled in this study agreed to participate in it and signed an informed consent form prior to the colonoscopy.
Robotic right hemicolectomy with intra-corporeal anastomosis may have better short-term recovery outcomes and decreased incidence of incisional hernia when compared to the laparoscopic actual standard of care, for similar safety outcomes.
Polyp size and count determines the follow-up intervals after colonoscopy. However, relying on the endoscopist's optical diagnosis for size estimation has shown considerable variability, leading to erroneous surveillance intervals and increased colorectal cancer risk. This study aims to assess the effectiveness of a new polyp size estimation software, called POSEIDON, which uses the tip of the auxiliary water-jet as reference and is implemented together with the EndoMind polyp detection system.
After introducing a nationwide screening program for colorectal cancer (CRC) in Denmark, more cases of early-stage CRC are being detected. Cancers in the earliest stages are often removed locally, either during the diagnostic colonoscopy or through planned minimally invasive surgery. This early detection of cancer, and thereby an improved prognosis, is a positive feature but has also introduced a new clinical dilemma. Is the patient fully cured by the local resection, or do they need further surgery? Whether further surgery is recommended at the Multi-Disciplinary Team (MDT) board meeting depends on the outcome of specific criteria from the histopathological assessment of the locally removed specimen. The presence of these criteria does not, however, translate directly into the presence of residual disease - merely into a theoretically increased risk. In Denmark, after surgery, the fraction of cases with residual disease has been around 15% for many years. In the remaining 85% of cases, local removal alone was curative - and the surgery appears excessive. Investigating blood samples for the presence of circulating tumor DNA (ctDNA) is a new and promising method for cancer detection. The method utilizes that cancer cells release ctDNA into the circulation. ctDNA detected in blood drawn from a patient a few days after local removal of a tumor indicates that residual disease is present and further treatment, such as surgery, is needed. The purpose of this study is to investigate, whether analyses of ctDNA can correctly identify patients with residual disease after local removal of early CRC. If this identification proves accurate, many patients can be spared further surgery.