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Endocuff Adenoma Detection Rate Pilot Study

ABSTRACT: Colorectal cancer is the second leading cause of cancer deaths in the UK(1) . Detection of cancer at an early stage, as well as detection and removal of polyps through gold standard colonoscopy examination decreases mortality from the disease. However colonoscopy has a well documented miss rate, with some areas of the bowel difficult to visualise and neoplastic lesions potentially hidden behind folds in the colon. The Endocuff© is a disposable polymer sleeve with hinged lateral arms. The arms flatten mucosal folds and fix the colonoscope centrally in the bowel lumen allowing controlled withdrawal and improving mucosal visualization. The cap easily attaches to the tip of current colonoscopes without modification. In this single centre, randomised controlled trial, the investigators aim to assess the performance of the current gold standard colonoscopic examination against the current gold standard colonoscopic examination with the Endocuff© attached to the colonoscope. The investigators aim to recruit 300 patients (150 in each group) who have previously been identified to have colonic polyps or cancers undergoing surveillance colonoscopy following NICE guidelines(2). Colonoscopy will be performed by Joint Advisory Group on gastro-intestinal endoscopy (JAG) certified colonoscopists following quality indicator guidance. All patients undertaking follow up surveillance colonoscopy for previous polyps or cancer will be invited to participate and those agreeing will be randomly allocated to one or other technique.

DISEASE(S): Colorectal Adenoma,Colorectal Cancer,Adenoma

PROVIDER: 2137735 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Colorectal cancer often arises from adenomatous polyps. Polyps can grow and progress to cancer, but may also remain static in size, regress, or resolve. Prediciting which progress to cancer and which remain benign is difficult. We developed a long-lived murine model of colorectal cancer with tumors that can be followed by colonoscopy. Our aim was to assess whether these tumors have similar growth patterns and histologic fates to human colorectal polyps to identify features to aid in risk stratification of colonic tumors. Long-lived Apcin/+ mice were treated with 4% dextran sodium sulfate to promote colonic tumorigenesis. Tumor growth patterns were characterized by serial colonoscopy, and pathology was determined. Serial biopsies of tumors were obtained for immunohistochemistry and gene expression profiling by microarray analysis with Affymetrix Whole Genome array. Tumors (n=424) grew, remained static, regressed, or resolved over time with different relative frequencies. Newly developed tumors demonstrated dynamic growth patterns with higher rates of growth and resolution, while more established tumors tended to remain static in size. Colonic tumors were hyperplastic lesions (3%), adenomas (73%), intramucosal carcinomas (20%), or adenocarcinomas (3%). Differentially expressed genes between adenomas and intramucosal carcinomas were identified. We did not identify differentially expressed genes between early and late biopsies from the same tumor. This novel murine model of intestinal tumorigenesis develops colonic tumors that can be monitored by serial colonoscopy, mirror growth patterns seen in human colorectal polyps, and progress to colorectal cancer. Further characterization of cellular and molecular features are needed to determine which features can be used to risk-stratify polyps for progress to colorectal cancer and potentially guide prevention strategies. F1 (SWR x C57BL/6) Apcin/+ mice who had been given two treatments of 4% dextran sodium sulfate in drinking water at weaning underwent colonoscopy around 80 days of age. Those with distal colonic tumors amenable to biopsy had two biopsies taken at that time. Tumors were monitored by colonoscopy every 14 days. Every 28 days, two additional biopsies were taken of each tumor. This protocol was repeated until mice were moribund. Six tumors were removed after sacrifice. The earliest and latest biopsies of each tumor were selected for RNA extraction and Affymetrix hybridization.

Project description:Colorectal cancer is the 2nd most common cause of death by cancer. Screening is therefore essential, with a positive impact for prevention, and in the visualization and removal of colonic adenomas, pre-cancerous lesions of colorectal cancer. The colonic adenoma detection rate (CADR), the gold standard for colonoscopy screening and screening studies, is the ratio of the number of colonoscopies with at least one histologically verified colonic adenoma to the total number of colonoscopies performed in a center. It varies between 25 and 45% depending on the center. There is a large inter-operator CADR variability, which has been linked to an increased incidence and excess mortality in colorectal cancers. To improve this detection rate, several innovative techniques have been developed: The endoscopic cap helps improve this detection rate: it is a 2cm tip with double row of plastic wings, fixed to the distal end of the colonoscope, which acts by unfolding the colonic haustrations allowing a better visualization of adenomas, and more particularly those of sessile morphology and sigmoidal location. Several multicenter studies have shown an improvement in the adenoma detection rate with this device compared to screening colonoscopy alone, with an adenoma detection rate optimization of 14%. Since then other devices, such as the Endocuff, have emerged with comparable efficacy. The Medtronic© GI GENIUS system integrates artificial intelligence (AI) to assist in the detection of polyps. It automatically identifies these precancerous lesions in real time. The study investigators previously performed a retrospective pilot study (COLODETECT), comparing colonoscopy alone as a control group, against AI alone and against the combined cap + AI. This study showed encouraging results in terms of colonic adenoma detection rate (60% for the AI + cap group versus 37% for the AI alone group versus 33% for the colonoscopy alone group, p=0.037) However, it requires a higher level of evidence to be validated in practice. This prospective COLODETECT2 study estimated an a priori expected difference between A.I. - Cap and A.I. alone of about 15% CADR. The GI GENIUS artificial intelligence system and the ENDOCUFF VISION endoscopic cap have separately proven their effectiveness in terms of colonic adenoma detection compared to colonoscopy alone. However, some limitations remain: existence of false positives (mucosal folds, residues), some morphological types still difficult to recognize (scalloped adenomas), non visualized colonic lesions. This study therefore focuses on the possible complementarity of these 2 medical devices, in order to maximize the detection rate of colonic adenomas, and thus overcome the limitations of these two techniques by optimizing the visualization of these precancerous lesions, and consequently increasing the impact of colorectal cancer screening. The study authors hypothesize that the combination of GI GENIUS AI coupled with the ENDOCUFF VISION endoscopy cap provides a better colonic adenoma detection rate (CAD) during colonoscopy than either GI GENIUS AI alone or the ENDOCUFF VISION cap alone.

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Endocuff Adenoma Detection Rate Pilot Study

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