Ignite Creation Date:
2025-12-24 @ 3:20 PM
Ignite Modification Date:
2025-12-26 @ 10:44 AM
Study NCT ID:
NCT05628792
Status:
UNKNOWN
Last Update Posted:
2022-11-29
First Post:
2022-10-28
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D010017', 'term': 'Osteoma, Osteoid'}], 'ancestors': [{'id': 'D010016', 'term': 'Osteoma'}, {'id': 'D018213', 'term': 'Neoplasms, Bone Tissue'}, {'id': 'D009372', 'term': 'Neoplasms, Connective Tissue'}, {'id': 'D018204', 'term': 'Neoplasms, Connective and Soft Tissue'}, {'id': 'D009370', 'term': 'Neoplasms by Histologic Type'}, {'id': 'D009369', 'term': 'Neoplasms'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'RETROSPECTIVE', 'observationalModel': 'CASE_ONLY'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 20}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'UNKNOWN', 'lastKnownStatus': 'NOT_YET_RECRUITING', 'startDateStruct': {'date': '2022-12-20', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2022-11', 'completionDateStruct': {'date': '2023-03-31', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2022-11-23', 'studyFirstSubmitDate': '2022-10-28', 'studyFirstSubmitQcDate': '2022-11-23', 'lastUpdatePostDateStruct': {'date': '2022-11-29', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2022-11-29', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2023-01-31', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Number of cortical vessels', 'timeFrame': 'Retrospective review of all ultra high resolution CT of the precedent 2 years', 'description': 'Number'}, {'measure': 'Number of nidus vessels', 'timeFrame': 'Retrospective review of all ultra high resolution CT of the precedent 2 years', 'description': 'Number'}], 'secondaryOutcomes': [{'measure': 'Confidence Score', 'timeFrame': 'Retrospective review of all ultra high resolution CT of the precedent 2 years', 'description': '1 (weak) to 5 (strong)'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['CT', 'Osteoid Osteoma', 'Ultra High Resolution CT'], 'conditions': ['Bone Vascular Tumor']}, 'descriptionModule': {'briefSummary': 'To evaluate the image quality and ability to depict in vivo bone vascularization with an ultra-high-resolution computed tomography (UHR-CT) scanner using a deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) algorithms, compared to simulated conventional CT, using osteoid osteoma (OO) as a model.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '70 Years', 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'retrospective inclusion of all histologically proven Osteoid Osteoma referred to our department for CT imaging', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Proven osteoid osteoma\n* Ultra High Resolution CT\n\nExclusion Criteria:\n\n* None'}, 'identificationModule': {'nctId': 'NCT05628792', 'briefTitle': 'In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study', 'organization': {'class': 'OTHER', 'fullName': 'Central Hospital, Nancy, France'}, 'officialTitle': 'In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study', 'orgStudyIdInfo': {'id': 'N°2-RCB/EUDRACT'}}, 'armsInterventionsModule': {'interventions': [{'name': 'CT', 'type': 'DIAGNOSTIC_TEST', 'description': 'Ultra High Resolution CT scan'}]}, 'contactsLocationsModule': {'centralContacts': [{'name': 'Romain GILLET, MD', 'role': 'CONTACT', 'email': 'romain_gillet3@hotmail.com', 'phone': '0680987216'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Central Hospital, Nancy, France', 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'MD, MSK Radiologist', 'investigatorFullName': 'GILLET Romain', 'investigatorAffiliation': 'Central Hospital, Nancy, France'}}}}