Viewing Study NCT04831333


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Study NCT ID: NCT04831333
Status: COMPLETED
Last Update Posted: 2021-07-21
First Post: 2021-04-01
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Deep Learning-based System and AIDS-related Cytomegalovirus Retinitis
Sponsor:
Organization:

Raw JSON

{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D017726', 'term': 'Cytomegalovirus Retinitis'}, {'id': 'D000163', 'term': 'Acquired Immunodeficiency Syndrome'}], 'ancestors': [{'id': 'D015828', 'term': 'Eye Infections, Viral'}, {'id': 'D015817', 'term': 'Eye Infections'}, {'id': 'D007239', 'term': 'Infections'}, {'id': 'D003586', 'term': 'Cytomegalovirus Infections'}, {'id': 'D006566', 'term': 'Herpesviridae Infections'}, {'id': 'D004266', 'term': 'DNA Virus Infections'}, {'id': 'D014777', 'term': 'Virus Diseases'}, {'id': 'D005128', 'term': 'Eye Diseases'}, {'id': 'D012173', 'term': 'Retinitis'}, {'id': 'D012164', 'term': 'Retinal Diseases'}, {'id': 'D015658', 'term': 'HIV Infections'}, {'id': 'D000086982', 'term': 'Blood-Borne Infections'}, {'id': 'D003141', 'term': 'Communicable Diseases'}, {'id': 'D015229', 'term': 'Sexually Transmitted Diseases, Viral'}, {'id': 'D012749', 'term': 'Sexually Transmitted Diseases'}, {'id': 'D016180', 'term': 'Lentivirus Infections'}, {'id': 'D012192', 'term': 'Retroviridae Infections'}, {'id': 'D012327', 'term': 'RNA Virus Infections'}, {'id': 'D012897', 'term': 'Slow Virus Diseases'}, {'id': 'D000091662', 'term': 'Genital Diseases'}, {'id': 'D000091642', 'term': 'Urogenital Diseases'}, {'id': 'D007153', 'term': 'Immunologic Deficiency Syndromes'}, {'id': 'D007154', 'term': 'Immune System Diseases'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'CROSS_SECTIONAL', 'observationalModel': 'OTHER'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 50}, 'targetDuration': '1 Day', 'patientRegistry': True}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2021-04-01', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2021-07', 'completionDateStruct': {'date': '2021-05-01', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2021-07-20', 'studyFirstSubmitDate': '2021-04-01', 'studyFirstSubmitQcDate': '2021-04-01', 'lastUpdatePostDateStruct': {'date': '2021-07-21', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2021-04-05', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2021-05-01', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Evaluating the applicability of the DL system to identify AIDS-related CMVR', 'timeFrame': 'April 2021', 'description': 'The investigators compared the performance between two trained (senior and junior) retinal ophthalmologists with the DL system. A senior retinal ophthalmologist and a junior retinal ophthalmologist were asked to independently screen the UWF images in the prospective dataset. Accuracy, sensitivity and specificity were used to evaluate the performance.'}]}, 'oversightModule': {'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['AIDS', 'HIV', 'Cytomegalovirus Retinitis', 'Deep learning', 'Ultra-wide-field imaging'], 'conditions': ['Cytomegalovirus Retinitis']}, 'descriptionModule': {'briefSummary': 'Ophthalmological screening for cytomegalovirus retinitis (CMVR) for HIV/AIDS patients is important. However, the manual screening with fundus imaging is laborious and subjective.\n\nDeep learning (DL) system has been developed for the automated detection of various eye diseases with high accuracy and efficiency, including diabetic retinopathy, glaucoma, age-related macular degeneration (AMD), papilledema, lattice degeneration and retinal breaks, from ocular fundus photographs. UWF imaging is a relatively new imaging modality for DL system but has also shown extraordinary talents in automatic retinal analysis With the press for routine CMVR screening in AIDS patients and the great capacity of DL system, the use of deep learning (DL) system to AIDS-related CMVR with Ultra-Widefield (UWF) fundus images is promising.\n\nThe investigators previously developed a DL system to detect AIDS-related CMVR. For further evaluating the applicability of the DL system, a prospective dataset is needed.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'AIDS patients undergoing OPTOS camera (OPTOSĀ® Daytona) from Department of Ophthalmology, Beijing Youan Hospital, were prospectively collected as a prospective dataset.', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\nThe UWF images from HIV/AIDS patients.\n\nExclusion Criteria:\n\n1. The UWF images would be excluded if all three human graders gave different diagnosis.\n2. The UWF images with poor quality would be excluded.'}, 'identificationModule': {'nctId': 'NCT04831333', 'briefTitle': 'Deep Learning-based System and AIDS-related Cytomegalovirus Retinitis', 'organization': {'class': 'OTHER', 'fullName': 'Beijing YouAn Hospital'}, 'officialTitle': 'Deep Learning-based System for Detection of AIDS-related Cytomegalovirus Retinitis in Ultra-Widefield Fundus Images', 'orgStudyIdInfo': {'id': '20210331001'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Active CMVR', 'description': 'The UWF images of cytomegalovirus retinitis (CMVR) included various patterns: hemorrhagic necrotizing lesion, granular lesion, frosted branch angiitis, and optic neuropathy lesion. Active CMVR lesion was defined as obvious opacity (mild, moderate, severe, very severe)'}, {'label': 'Inactive CMVR', 'description': 'Inactive CMVR lesion was defined as a lack of opacity or questionable/equivocal activity.'}, {'label': 'Non-CMVR', 'description': 'The non-CMVR images included normal retina and other retinopathies such as HIV-related microvascular retinopathy, diabetic retinopathy, retinal detachment, vitreous hemorrhage.'}], 'interventions': [{'type': 'OTHER', 'armGroupLabels': ['Active CMVR', 'Inactive CMVR', 'Non-CMVR']}]}, 'contactsLocationsModule': {'locations': [{'zip': '100069', 'city': 'Beijing', 'state': 'Beijing Municipality', 'country': 'China', 'facility': 'Beijing Youan Hospital, Capital Medical University', 'geoPoint': {'lat': 39.9075, 'lon': 116.39723}}], 'overallOfficials': [{'name': 'Kui-Fang Du', 'role': 'STUDY_DIRECTOR', 'affiliation': 'Beijing YouAn Hospital'}, {'name': 'Li Dong', 'role': 'STUDY_DIRECTOR', 'affiliation': 'Beijing Tongren Hospital'}, {'name': 'Kai Zhang', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing Tongren Hospital'}, {'name': 'Chao Chen', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing YouAn Hospital'}, {'name': 'Lian-Yong Xie', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing YouAn Hospital'}, {'name': 'Wen-Jun Kong', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing YouAn Hospital'}, {'name': 'Hong-Wei Dong', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing YouAn Hospital'}, {'name': 'He-Yan Li', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing Tongren Hospital'}, {'name': 'Rui-Heng Zhang', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing Tongren Hospital'}, {'name': 'Wen-Da Zhou', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing Tongren Hospital'}, {'name': 'Hao-Tian Wu', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Beijing Tongren Hospital'}, {'name': 'Wen-Bin Wei', 'role': 'STUDY_CHAIR', 'affiliation': 'Beijing Tongren Hospital'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Kuifang Du', 'class': 'OTHER'}, 'collaborators': [{'name': 'Beijing Tongren Hospital', 'class': 'OTHER'}], 'responsibleParty': {'type': 'SPONSOR_INVESTIGATOR', 'investigatorTitle': 'Principal investigator', 'investigatorFullName': 'Kuifang Du', 'investigatorAffiliation': 'Beijing YouAn Hospital'}}}}