Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITHOUT_DNA', 'description': 'Uterine Cervix tissue'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'CROSS_SECTIONAL', 'observationalModel': 'CASE_ONLY'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 112}}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2005-04'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2009-07', 'completionDateStruct': {'date': '2005-12', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2009-07-15', 'studyFirstSubmitDate': '2009-07-15', 'studyFirstSubmitQcDate': '2009-07-15', 'lastUpdatePostDateStruct': {'date': '2009-07-17', 'type': 'ESTIMATED'}, 'studyFirstPostDateStruct': {'date': '2009-07-17', 'type': 'ESTIMATED'}, 'primaryCompletionDateStruct': {'date': '2005-12', 'type': 'ACTUAL'}}, 'oversightModule': {'oversightHasDmc': False}, 'conditionsModule': {'keywords': ['Colposcopy'], 'conditions': ['Colposcopy']}, 'descriptionModule': {'briefSummary': 'This study was designed to gather digital pictures of the cervix and correlate it to its histopathology, and then use those relationships to teach a computer how to objectively find cervical dysplasia and cancer.'}, 'eligibilityModule': {'sex': 'FEMALE', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Women identified with an abnormal Pap smear', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Female\n* Negative pregnancy test\n* 18 years and older\n* Presence of a cervix\n\nExclusion Criteria:\n\n* Pregnant\n* Absence of a cervix\n* Less than 18 years old\n* Male'}, 'identificationModule': {'nctId': 'NCT00941512', 'briefTitle': 'High Resolution Digital Imaging of the Uterine Cervix', 'organization': {'class': 'INDUSTRY', 'fullName': 'STI-Medical Systems'}, 'officialTitle': 'Investigation to Correlate High Resolution Digital Images of the Uterine Cervix With Histopathology', 'orgStudyIdInfo': {'id': '2005-1'}}, 'contactsLocationsModule': {'overallOfficials': [{'name': 'Daron G Ferris', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Augusta University'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'STI-Medical Systems', 'class': 'INDUSTRY'}, 'collaborators': [{'name': 'Instituto National de Edfermedades Neoplasicas', 'class': 'UNKNOWN'}, {'name': 'Eisenhower Army Medical Center', 'class': 'FED'}], 'responsibleParty': {'oldNameTitle': 'Jody Oyama', 'oldOrganization': 'STI Medical Systems'}}}}