Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D020246', 'term': 'Venous Thrombosis'}], 'ancestors': [{'id': 'D013927', 'term': 'Thrombosis'}, {'id': 'D016769', 'term': 'Embolism and Thrombosis'}, {'id': 'D014652', 'term': 'Vascular Diseases'}, {'id': 'D002318', 'term': 'Cardiovascular Diseases'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 128}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2007-09'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2015-09', 'completionDateStruct': {'date': '2015-07', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2015-09-15', 'studyFirstSubmitDate': '2015-07-28', 'studyFirstSubmitQcDate': '2015-09-15', 'lastUpdatePostDateStruct': {'date': '2015-09-17', 'type': 'ESTIMATED'}, 'studyFirstPostDateStruct': {'date': '2015-09-17', 'type': 'ESTIMATED'}, 'primaryCompletionDateStruct': {'date': '2012-07', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Using the Infrared Thermal Imaging to detecting Venous Thromboembolism', 'timeFrame': 'up to 24 months', 'description': "① Different levels of pseudocode (white, red, pink, yellow, green, blue, black) representing related IRTI that corresponds to a color scale bar of low to high temperatures, so we can know disease's position, extent and severity by comparing with the difference of color distribution and shape in the thermal imaging.\n\n②The intensity of thermal distribution is higher than normals (great than or equal 0.5 Celsius degree is unnoraml), the symmetry of thermal range is relatively increased (pixels over 0.5 \\~ 1.0-fold), the difference of spatial distribution of the thermal field and the difference of statistically analyze are related to the disease."}]}, 'oversightModule': {'oversightHasDmc': False}, 'conditionsModule': {'keywords': ['infrared thermal imaging', 'deep venous thrombosis'], 'conditions': ['Deep Venous Thrombosis']}, 'descriptionModule': {'briefSummary': 'The purpose of this study is to determine the effectiveness of infrared thermal imaging in adjunctive diagnostic screening for lower limb deep venous thrombosis (DVT).'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '75 Years', 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'DVT patients included in this study had been definitively diagnosed as having DVT with CPUS and/or angiography. Included non-DVT volunteers were confirmed to be without DVT with CPUS. The healthy volunteer group matched the DVT group in number, age, and gender.', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n1. Willing to participate in the trial and sign the informed consent form,\n2. Aged: 18-75 years. They had been definitively diagnosed with venous thromboembolism,\n3. The bed-rest immobilization time should be more than 72 hours,\n4. Planing to gynecology operation,\n5. The D dimer should be more than500 g • L-1,\n6. There is no obvious symptoms of systemic infection two weeks before the test,\n7. There is no trauma, infection, biopsy or puncture, hemorrhage and tumor in the corresponding detection site (chest and lower limbs),\n8. There is no skin disease, heart, liver, kidney, gastrointestinal tract, hematopoietic system and mental, neurological has no serious diseases.\n\nExclusion Criteria:\n\n1. Patients can not be good partners,\n2. Doctors believe that there is any inappropriate situations.'}, 'identificationModule': {'nctId': 'NCT02552420', 'briefTitle': 'The Clinical Application of Infrared Thermal Imaging Detecting Venous Thromboembolism', 'organization': {'class': 'OTHER', 'fullName': 'The First Affiliated Hospital of Guangzhou Medical University'}, 'officialTitle': 'The Clinical Application of Infrared Thermal Imaging Detecting Venous Thromboembolism', 'orgStudyIdInfo': {'id': 'GIRD'}}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'The First Affiliated Hospital of Guangzhou Medical University', 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Principal Investigator', 'investigatorFullName': 'Fangge Deng', 'investigatorAffiliation': 'The First Affiliated Hospital of Guangzhou Medical University'}}}}