Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D011125', 'term': 'Adenomatous Polyposis Coli'}], 'ancestors': [{'id': 'D018256', 'term': 'Adenomatous Polyps'}, {'id': 'D000236', 'term': 'Adenoma'}, {'id': 'D009375', 'term': 'Neoplasms, Glandular and Epithelial'}, {'id': 'D009370', 'term': 'Neoplasms by Histologic Type'}, {'id': 'D009369', 'term': 'Neoplasms'}, {'id': 'D015179', 'term': 'Colorectal Neoplasms'}, {'id': 'D007414', 'term': 'Intestinal Neoplasms'}, {'id': 'D005770', 'term': 'Gastrointestinal Neoplasms'}, {'id': 'D004067', 'term': 'Digestive System Neoplasms'}, {'id': 'D009371', 'term': 'Neoplasms by Site'}, {'id': 'D009386', 'term': 'Neoplastic Syndromes, Hereditary'}, {'id': 'D004066', 'term': 'Digestive System Diseases'}, {'id': 'D005767', 'term': 'Gastrointestinal Diseases'}, {'id': 'D003108', 'term': 'Colonic Diseases'}, {'id': 'D007410', 'term': 'Intestinal Diseases'}, {'id': 'D044483', 'term': 'Intestinal Polyposis'}, {'id': 'D030342', 'term': 'Genetic Diseases, Inborn'}, {'id': 'D009358', 'term': 'Congenital, Hereditary, and Neonatal Diseases and Abnormalities'}]}}, 'protocolSection': {'designModule': {'phases': ['NA'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'RANDOMIZED', 'maskingInfo': {'masking': 'SINGLE', 'whoMasked': ['OUTCOMES_ASSESSOR']}, 'primaryPurpose': 'DIAGNOSTIC', 'interventionModel': 'SEQUENTIAL'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 337}}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2022-09-20', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2022-12', 'completionDateStruct': {'date': '2023-08-02', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2023-08-31', 'studyFirstSubmitDate': '2023-01-03', 'studyFirstSubmitQcDate': '2023-01-17', 'lastUpdatePostDateStruct': {'date': '2023-09-06', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2023-01-18', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2023-04-28', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'PMR', 'timeFrame': 'during colonoscopy procedure', 'description': 'Polyp miss rate'}], 'secondaryOutcomes': [{'measure': 'AMR', 'timeFrame': 'during colonoscopy procedure', 'description': 'Adenoma miss rate'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Artificial Intelligence', 'Enteroscope', 'Intestinal Polyposis, Adenomatous']}, 'descriptionModule': {'briefSummary': 'A clinical trial of the effectiveness and safety of intestinal polyp digestive endoscopy-assisted diagnosis software used in the analysis of colonoscopy medical images generated by electronic digestive endoscopy equipment.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '85 Years', 'minimumAge': '18 Years', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Age of 18 to 85 years old, regardless of gender;\n* electronic colonoscopy is required;\n* The subjects or their legal representatives could understand the purpose of the trial, show sufficient compliance with the trial protocol, and sign the informed consent.\n\nExclusion Criteria:\n\n* (1) Contraindications associated with electronic colonoscopy or biopsy;\n* (2) poor intestinal preparation;\n* (3) diagnosed colorectal cancer, familial polyposis, or complicated with known colorectal polyps;\n* (4) serious neurological diseases or dysfunction of vital organs (heart, lung, liver, kidney);\n* (5) acute abdominal or intestinal inflammation;\n* (6) History of abdominal, pelvic, anal and perianal operations within 2 months before enrollment;\n* (7) Participated in other interventional clinical trials within 1 month before enrollment;\n* (8) In the interest of subjects, the investigator considers that they should not participate in other conditions of the clinical trial.'}, 'identificationModule': {'nctId': 'NCT05687318', 'briefTitle': 'A Clinical Trial of the Effectiveness and Safety of Software Assisting Diagnose the Intestinal Polyp Digestive Endoscopy by Analysis of Colonoscopy Medical Images From Electronic Digestive Endoscopy Equipment', 'organization': {'class': 'OTHER', 'fullName': 'Peking Union Medical College Hospital'}, 'officialTitle': 'A Clinical Trial of the Effectiveness and Safety of Software Assisting Diagnose the Intestinal Polyp Digestive Endoscopy by Analysis of Colonoscopy Medical Images From Electronic Digestive Endoscopy Equipment, a Prospective, Multicenter, Randomized Stratified Block, Incomplete Blind Setting, Parallel Sequential Control, and Efficacy Test', 'orgStudyIdInfo': {'id': 'PekingUMCH-1'}}, 'armsInterventionsModule': {'armGroups': [{'type': 'EXPERIMENTAL', 'label': 'Trial Ⅰ', 'description': "Subjects underwent colonoscopy with the investigator's combined instrument, and then underwent traditional colonoscopy with the same investigator", 'interventionNames': ['Device: DeFrame']}, {'type': 'EXPERIMENTAL', 'label': 'Trial Ⅱ', 'description': "Subjects underwent a traditional colonoscopy, followed by a colonoscopy with the same investigator's instrument", 'interventionNames': ['Device: DeFrame']}], 'interventions': [{'name': 'DeFrame', 'type': 'DEVICE', 'description': 'DeFrame can analyze colonoscopy medical images generated by electronic digestive endoscopy equipment to automatically identify, label and screen capture polyps in the colon.', 'armGroupLabels': ['Trial Ⅰ', 'Trial Ⅱ']}]}, 'contactsLocationsModule': {'locations': [{'zip': '100730', 'city': 'Beijing', 'state': 'Beijing Municipality', 'country': 'China', 'facility': 'Peking Union Medical College Hospital', 'geoPoint': {'lat': 39.9075, 'lon': 116.39723}}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Peking Union Medical College Hospital', 'class': 'OTHER'}, 'collaborators': [{'name': 'The Second Hospital University of South China', 'class': 'OTHER'}, {'name': 'Loudi Central Hospital', 'class': 'OTHER'}], 'responsibleParty': {'type': 'SPONSOR'}}}}