[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"adenoma-colon-polyp\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:adenoma-colon-polyp":26},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,8,0,[8,47,87,109,156,176,205,233],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":28,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100604180","clinical-evaluation-of-a-new-platform-for-bi-manual-endoscopic-resection-in-the-rectum-and-sigma-endotem-100604180",false,"NCT07146165","Clinical Evaluation of a New Platform for Bi-manual Endoscopic Resection in the Rectum and Sigma (EndoTEM)","EndoTEM","Inclusion Criteria:\n\n* Availability of written informed consent from the patient\n* Age \\> 18 years\n* Adenoma or early carcinoma \\> 2 cm in the rectum or distal sigmoid colon with indication for endoscopic en bloc resection using endoscopic submucosal dissection\n\nExclusion Criteria:\n\n* Informed consent not possible (e.g., language barrier)\n* Stenoses or fistulas in the anal region\n* Distance to the anocutaneous line ≤ 2 cm\n* Distance to the anocutaneous line \\> 20 cm\n* Individual medical assessment required for patients taking anticoagulant medication, in accordance with current ESGE guidelines\n* Pregnancy or breastfeeding\n* Vulnerable individuals","ALL","18 Years",{"count":19,"type":20},30,"ESTIMATED","INTERVENTIONAL",[23],"NA","The goal of this clinical trial is to determine whether the use of the EndoTEM system during the endoscopic removal of polyps in the distal colon is feasible and safe.\n\nThe main questions it aims to answer are:\n\n* Is the use of the EndoTEM system during the endoscopic removal of polyps in the distal colon feasible (i.e., does it enable complete resection of the polyp)?\n* Is the use of the EndoTEM system during the endoscopic removal of polyps in the distal colon safe?\n\nParticipants will:\n\n* be treated with the EndoTEM system during the endoscopic submucosal dissection of polyps in the distal colon.\n* answere questionnaires on fecal continence and quality of life before and after the intervention.\n* be treated following standard clinical procedures before, during and after the endoscopic removal.",[26,27],"Adenoma Colon Polyp","Adenoma Colon",[29,30,31,32,33],"endoscopic submucosal dissection","endoscopic en bloc resection","EndoTEM system","endoscopic portsystem","ESD","RECRUITING","2026-03-30",{"date":37,"type":38},"2026-03-31","ACTUAL",{"date":40,"type":38},"2025-10-02",{"date":42,"type":20},"2028-08",{"name":44,"class":45},"Robert Bosch Gesellschaft für Medizinische Forschung mbH (RBMF)","OTHER",3,{"id":48,"slug":49,"hasResults":11,"nctId":50,"briefTitle":51,"officialTitle":51,"acronym":52,"eligibilityCriteria":53,"healthyVolunteers":54,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":55,"targetDuration":4,"studyType":57,"phases":4,"briefSummary":58,"conditions":59,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":77,"lastUpdatePostDateStruct":78,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":86},"100627590","liquid-biopsy-and-machine-learning-for-early-colorectal-cancer-adenomas-lynch-cancers-and-residual-disease-detection-100627590","NCT07450612","Liquid Biopsy and Machine Learning for Early Colorectal Cancer, Adenomas, Lynch Cancers, and Residual Disease Detection","BEACON","Inclusion Criteria:\n\n* All individuals included in the study need to have had a colonoscopy at the time of blood sampling.\n* Received standard diagnostic and staging (as necessary) procedures as per local guidelines, and at least one sample was drawn before receiving any curative-intent treatment.\n* Received standard pathological and endoscopic diagnosis and assessment for cohort assignment\n\nExclusion Criteria:\n\n* Lack of informed consent\n* Inflammatory bowel disease",true,{"count":56,"type":20},1200,"OBSERVATIONAL","This is an multicenter study that will test the diagnostic accuracy of a blood test (i.e., a liquid biopsy) for the diagnosis of colorectal cancer (CRC), advanced adenomas (AAs), as well as Lynch-syndrome associated cancers. Additionally, a pre-planned analysis will evaluate the use of this liquid biopsy as a tool for molecular residual disease monitoring purposes.",[60,27,26,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76],"Colorectal Cancer","Colon Adenoma","Colo-rectal Cancer","Colon Disease","Colon Neoplasm","Lynch Syndrome","Lynch Syndrome I","Lynch Syndrome II","Lynch Syndrome I (Site-specific Colonic Cancer)","LYN Gene Mutation","Mismatch Repair Deficiency","Mismatch Repair Gene Mutation","MLH1 Gene Mutation","MSH2 Gene Mutation","MSH6 Gene Mutation","PMS2 Gene Mutation","EPCAM Gene Mutation","2026-02-27",{"date":79,"type":38},"2026-03-04",{"date":81,"type":38},"2024-01-01",{"date":83,"type":20},"2031-08-15",{"name":85,"class":45},"San Raffaele University",4,{"id":88,"slug":89,"hasResults":11,"nctId":90,"briefTitle":91,"officialTitle":92,"acronym":93,"eligibilityCriteria":94,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":95,"targetDuration":4,"studyType":57,"phases":4,"briefSummary":97,"conditions":98,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":99,"lastUpdatePostDateStruct":100,"startDateStruct":102,"completionDateStruct":104,"leadSponsor":106,"locationsCount":108},"100552673","evaluating-adenoma-recurrence-after-endoscopic-mucosal-resection-with-margin-marking-or-post-treatment-with-snare-tip-soft-coagulation-100552673","NCT06476145","Evaluating Adenoma Recurrence After Endoscopic Mucosal Resection With Margin Marking or Post Treatment With Snare Tip Soft Coagulation","Prospective Randomized Controlled Trial Evaluating Adenoma Recurrence After Endoscopic Mucosal Resection With Margin Marking or Post Treatment With Snare Tip Soft Coagulation","ERADICATE","Inclusion Criteria:\n\n1. Age 18 years or older\n2. Ability to provide informed consent\n3. Patient scheduled to undergo colonoscopy for the evaluation and removal of colon polyps\n4. Non-pedunculated polyps ≥ 20 mm size\n\nExclusion Criteria:\n\n1. Pedunculated polyps\n2. Inflammatory bowel disease\n3. Inability to provide informed consent\n4. Lesions \\\u003C 20 mm in size (largest dimension)\n5. Lesion involves the lips of the ileocecal valve, is located at the appendiceal orifice and\u002For is fully circumferential.\n6. Any standard contraindication, including pregnancy, to anesthesia and\u002For colonoscopy",{"count":96,"type":20},342,"Non-inferiority trial comparing the recurrence rate of adenomas in non-pedunculated colonic lesions following endoscopic mucosal resection with margin marking (EMR-MM) and endoscopic mucosal resection with thermal margin ablation (EMR-STSC)",[26],"2025-12-30",{"date":101,"type":38},"2026-01-05",{"date":103,"type":38},"2023-12-08",{"date":105,"type":20},"2027-01-08",{"name":107,"class":45},"AdventHealth",1,{"id":110,"slug":111,"hasResults":11,"nctId":112,"briefTitle":113,"officialTitle":114,"acronym":4,"eligibilityCriteria":115,"healthyVolunteers":54,"sex":16,"minAge":4,"maxAge":4,"enrollmentInfo":116,"targetDuration":118,"studyType":57,"phases":4,"briefSummary":119,"conditions":120,"keywords":137,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":147,"lastUpdatePostDateStruct":148,"startDateStruct":150,"completionDateStruct":152,"leadSponsor":154,"locationsCount":86},"100579293","raman-spectroscopy-based-deep-learning-model-for-early-pan-cancer-early-diagnosis-100579293","NCT06822413","Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis","A Novel Raman Spectroscopy-Based Method for Pan-Cancers Early Diagnosis Supported by Deep Learning: A Prospective, Single-Arm, Multicentre Study","Inclusion Criteria:\n\n* Histopathological diagnosis of malignant tumors, including colorectal cancer, gastric cancer, hepatic cancer, pancreatic cancer, and esophageal cancer.\n* Patients in normal physiological conditions without any malignant tumors or precancerous lesions.\n* Patients with malignant tumor without recieving any interventions, including chemotherapy, surgery, radiotherapy, immunotherapy or other anti-tumor treatments.\n* Patients with a histopathological diagnosis of any precancerous lesions or non-malignant disease.\n\nExclusion Criteria:\n\n* Patients with metastatic tumors or in the condition with two or more kinds of malignant tumors at the same time\n* Post-cancer treatment patients.",{"count":117,"type":20},600,"1 Year","The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening. The study includes healthy individuals, patients at risk of cancer, and patients with diagnosed cancers. The main questions it aims to answer are:\n\n* Evaluating the deep-learning model's accuracy and specificity in identifying cancer-specific features in Raman spectral data and determining whether this method can accurately classify patients based on risk.\n* Identifying which model is more adaptable to the Raman spectrum\n* Providing an interpretable analysis of the model-generated diagnosis Participants are already being diagnosed and follow-up to determine the type of cancer.",[121,122,123,124,125,126,127,128,129,130,131,132,133,26,134,135,136],"Cancer Diagnosis","Liver Cancer, Adult","Cancer Screening","Colorectal Cancer (CRC)","Gastric Cancers","Normal Physiology","Pancreatic Cancer, Adult","Raman Spectroscopy","Deep Learning Model","Esophageal Cancer","Malignant Tumours","Precancerous Conditions","Pancreatitis","Gastric Ulcer","Oesophagitis","Cirrhoses, Liver",[138,139,123,128,60,140,141,130,142,143,133,144,145,135,146],"Pan-cancer","Deep Learning Models","Pancreatic Cancer","Gastric Cancer","malignant tumour","Precancerous Condtions","Colorectal Adenoma","Gastirc Ulcer","Cirrhoses","2025-04-19",{"date":149,"type":38},"2025-04-24",{"date":151,"type":38},"2022-09-01",{"date":153,"type":20},"2025-07-28",{"name":155,"class":45},"Second Affiliated Hospital, School of Medicine, Zhejiang University",{"id":157,"slug":158,"hasResults":11,"nctId":159,"briefTitle":160,"officialTitle":161,"acronym":4,"eligibilityCriteria":162,"healthyVolunteers":11,"sex":16,"minAge":163,"maxAge":4,"enrollmentInfo":164,"targetDuration":4,"studyType":57,"phases":4,"briefSummary":166,"conditions":167,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":168,"lastUpdatePostDateStruct":169,"startDateStruct":171,"completionDateStruct":173,"leadSponsor":174,"locationsCount":108},"100547291","artificial-intelligence-assisted-system-in-colonoscopy-100547291","NCT06406062","Artificial Intelligence-assisted System in Colonoscopy","To Evaluate the Effectiveness and Safety of an Artificial Intelligence-assisted System in Colonoscopy in a Real-world Obsevational Multicenter Study","Inclusion Criteria:\n\n1. age \\> 50 years old;\n2. required diagnostic colonoscopy, screening colonoscopy, or follow-up colonoscopy;\n3. voluntarily sign informed consent;\n4. Commitment to abide by the study procedures and cooperate with the implementation of the whole process of the study.\n\nExclusion Criteria:\n\n1. have participated in other clinical trials, signed informed consent and are in the follow-up period of other clinical trials;\n2. known polyposis syndrome patients;\n3. patients with known IBD;\n4. patients considered by the investigators to be unsuitable or unable to undergo complete digestive endoscopy and related examinations;\n5. high-risk diseases or other special conditions considered by the investigator to be unsuitable for clinical trial participation.","50 Years",{"count":165,"type":20},7500,"In recent years, computer-aided diagnosis system based on artificial intelligence (AI) has been used in colorectal polyp detection. In recent years, computer-aided diagnosis system based on artificial intelligence (AI) has been used in colorectal polyp detection. However, whether AI-assisted can improve the adenoma-detection rate (ADR) is inconclusive. This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control.\n\nThis study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter, prospective real world study. However, whether AI-assisted can improve the adenoma-detection rate (ADR) is inconclusive. This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control.\n\nThis study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter, prospective real world study.",[26],"2025-04-09",{"date":170,"type":38},"2025-04-13",{"date":172,"type":38},"2024-05-20",{"date":99,"type":20},{"name":175,"class":45},"Renmin Hospital of Wuhan University",{"id":177,"slug":178,"hasResults":11,"nctId":179,"briefTitle":180,"officialTitle":181,"acronym":182,"eligibilityCriteria":183,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":184,"enrollmentInfo":185,"targetDuration":4,"studyType":57,"phases":4,"briefSummary":187,"conditions":188,"keywords":189,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":195,"lastUpdatePostDateStruct":196,"startDateStruct":198,"completionDateStruct":200,"leadSponsor":202,"locationsCount":108},"100565972","triple-assay-of-rectal-mucus-in-the-diagnosis-of-colorectal-cancer-100565972","NCT06649123","Triple Assay of Rectal Mucus in the Diagnosis of Colorectal Cancer","Development of a Multiomics Assay for Use on OriColTM Sampled Rectal Mucus for Detection of Cancer and Significant Polyps in Symptomatic Patients on the Colorectal Urgent Suspected Cancer Pathway","TRIOMIC","Inclusion Criteria:\n\n1. Patients 18 years and over\n2. Patients referred from primary care to the 'urgent suspected cancer' CRC pathway during the study period.\n3. Patients who provide voluntary written informed consent to participate in the study.\n\nExclusion Criteria:\n\n1. Patients who are unable to undergo digital rectal examination (DRE).\n2. Patients with peri-anal\u002Fanal symptoms that may limit DRE and proctoscopy examination and it would be clinically inappropriate to attempt to assess these patients. This may include conditions such as:\n\n   * Patients who have undergone radiotherapy.\n   * An acute or chronic anal fissure\n   * Perianal haematoma\n   * Acute thrombosed haemorrhoids\n   * Post- operative anal stenosis\n   * The presence of an obstructing anal\u002Flow rectal tumour or discomfort as a result of previous pelvic radiotherapy\n3. Current pregnancy or suspicion of pregnancy.","99 Years",{"count":186,"type":20},6600,"Development of a multiomics assay for use on OriColTM sampled rectal mucus for detection of cancer and significant polyps in symptomatic patients on the Colorectal Urgent Suspected Cancer pathway.",[60,26],[190,191,192,193,194],"colon","rectum","mucus","adenoma","microbiome","2025-04-02",{"date":197,"type":38},"2025-04-04",{"date":199,"type":38},"2024-11-01",{"date":201,"type":20},"2027-04-01",{"name":203,"class":204},"Origin Sciences","INDUSTRY",{"id":206,"slug":207,"hasResults":11,"nctId":208,"briefTitle":209,"officialTitle":210,"acronym":4,"eligibilityCriteria":211,"healthyVolunteers":11,"sex":16,"minAge":212,"maxAge":4,"enrollmentInfo":213,"targetDuration":4,"studyType":21,"phases":215,"briefSummary":216,"conditions":217,"keywords":218,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":224,"lastUpdatePostDateStruct":225,"startDateStruct":227,"completionDateStruct":229,"leadSponsor":231,"locationsCount":108},"100566525","prospective-study-of-endoaim-asus-ai-solution-for-colorectal-polyp-diagnosis-100566525","NCT06656312","Prospective Study of EndoAim: ASUS AI Solution for Colorectal Polyp Diagnosis","Prospective Study of ASUS Endoscopy AI Solution- EndoAim Assisting Diagnosis of Colorectal Polyps","Inclusion Criteria:\n\n1. Age 20 or older.\n2. Undergoing colonoscopy using the Olympus series endoscopes.\n3. Following a low-residue diet and undergoing bowel preparation.\n\nExclusion Criteria:\n\n1. Poor bowel cleansing. Note: Evaluated as Poor or Inadequate according to the Aronchick scale.\n2. Incomplete colonoscopy (not reaching the cecum).\n3. Use of anticoagulant medications or abnormal coagulation function within the last 5 days.","20 Years",{"count":214,"type":20},548,[23],"\"The colorectal cancer mortality rate in Taiwan ranks third among all cancers, so it is crucial to prevent colorectal cancer through regular colonoscopy screenings and remove polyps with higher cancer risk. However, during colonoscopy, doctors tend to miss about 22% to 28% of polyps, and 20% to 24% of these missed polyps may turn into cancerous adenomas. Introducing an Artificial Intelligence (AI) assisted system can improve the overall quality of colonoscopy.\n\nThis study aims to evaluate the effectiveness of the ASUS AI-assisted system (EndoAim) in diagnosing polyps during colonoscopy. It includes comparing the outcomes of colonoscopy with and without the use of EndoAim and assessing the impact of EndoAim on diagnostic effectiveness across different subgroups.\n\nEach participant will be randomly assigned to undergo a colonoscopy with or without the assistance of EndoAim. The performance of the AI-assisted system in colonoscopy will be comprehensively evaluated using indicators such as APC(Adenoma Per Colonoscopy), ADR(Adenoma Detection Rate), PDR(Polyp Detection Rate), and Positive Predictive Value (PPV).. A subgroup analysis will also be conducted based on several important factors. Polyps will be biopsied and sent for pathological examination, with the pathology report serving as the final diagnosis for subsequent analysis.\"",[26],[219,220,221,222,223],"polyp detection","AI-assisted system","endoscopy","deep learning","colonoscopy","2024-10-30",{"date":226,"type":38},"2024-10-31",{"date":228,"type":38},"2024-10-28",{"date":230,"type":20},"2025-09-14",{"name":232,"class":45},"Wen-Hsin Huang",{"id":234,"slug":235,"hasResults":11,"nctId":236,"briefTitle":237,"officialTitle":237,"acronym":4,"eligibilityCriteria":238,"healthyVolunteers":54,"sex":16,"minAge":4,"maxAge":4,"enrollmentInfo":239,"targetDuration":4,"studyType":21,"phases":241,"briefSummary":242,"conditions":243,"keywords":245,"overallStatus":246,"whyStopped":4,"lastUpdateSubmitDate":247,"lastUpdatePostDateStruct":248,"startDateStruct":250,"completionDateStruct":252,"leadSponsor":254,"locationsCount":4},"100560474","the-impact-of-a-colonoscopy-monitoring-program-on-endoscopists-performance-100560474","NCT06577610","The Impact of a Colonoscopy Monitoring Program on Endoscopists' Performance","Inclusion Criteria:\n\n* Endoscopists with at least 1 year of colonoscopy experience\n\nExclusion Criteria:\n\n* Endoscopists with less than 1 year of colonoscopy experience",{"count":240,"type":20},16,[23],"The goal of this clinical trial is to learn if colonoscopy monitoring program works to adenoma detection rate in endoscopists. It will also learn about the impact on sessile serrated lesion detection rate, adenomas per colonoscopy, sessile serrated lesions per colonoscopy, advanced adenoma detection rate. The main questions it aims to answer are:\n\nDoes colonoscopy monitoring program effect on adenoma detection rate in endoscopists?\n\nParticipants will:\n\nReceive result of colonoscopy monitoring program or not every 3 months for 1 year",[26,244],"Sessile Serrated Adenoma",[193,244,223],"NOT_YET_RECRUITING","2024-09-09",{"date":249,"type":38},"2024-09-19",{"date":251,"type":20},"2024-10-01",{"date":253,"type":20},"2025-10-01",{"name":255,"class":45},"Seoul National University Hospital"]