Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D005910', 'term': 'Glioma'}], 'ancestors': [{'id': 'D018302', 'term': 'Neoplasms, Neuroepithelial'}, {'id': 'D017599', 'term': 'Neuroectodermal Tumors'}, {'id': 'D009373', 'term': 'Neoplasms, Germ Cell and Embryonal'}, {'id': 'D009370', 'term': 'Neoplasms by Histologic Type'}, {'id': 'D009369', 'term': 'Neoplasms'}, {'id': 'D009375', 'term': 'Neoplasms, Glandular and Epithelial'}, {'id': 'D009380', 'term': 'Neoplasms, Nerve Tissue'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITHOUT_DNA', 'description': 'standard neurosurgical procedure to obtain specimens; standard histopathological examination'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 30}}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2010-07'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2010-10', 'lastUpdateSubmitDate': '2011-09-28', 'studyFirstSubmitDate': '2010-10-19', 'studyFirstSubmitQcDate': '2010-10-19', 'lastUpdatePostDateStruct': {'date': '2011-09-29', 'type': 'ESTIMATED'}, 'studyFirstPostDateStruct': {'date': '2010-10-20', 'type': 'ESTIMATED'}}, 'conditionsModule': {'keywords': ['gliomas', 'magnetic resonance', 'diffusion kurtosis imaging', 'MR spectroscopy', 'grading'], 'conditions': ['Gliomas']}, 'descriptionModule': {'briefSummary': 'In this study, we evaluate the role of diffusion kurtosis imaging (DKI) and MR spectroscopy (MRS), two advanced imaging techniques in magnetic resonance (MR) in grading and detection of microscopic infiltrating tumour in gliomas. These parameters are of utmost importance in optimal choice and planning of treatment.\n\nPatients treated with gliomatous brain tumours are included voluntarily. They undergo one imaging session on a 3T MR scanner prior to treatment.\n\nDKI data are quantitively analyzed in order to estimate specific parameters in normal appearing white matter, grey matter, tumor and peritumoral edema. MRS data are analyzed quantitatively and qualitatively with peak integration, ratio calculation and classification algorithms. Histological confirmation is obtained at subsequent surgery.\n\nInformation from this study can be of significant importance in avoiding brain biopsies. Furthermore, information on microscopic tumour spread can be used during neurosurgery or in radiotherapy planning. An important advantage of these advanced MR techniques is the non-invasivity and the lack of ionizing radiation, two important issues in this relatively young patient population.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'samplingMethod': 'PROBABILITY_SAMPLE', 'studyPopulation': 'patients diagnosed with a gliomatuous brain tumor, prior to treatment', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* diagnosis of gliomatous brain tumour\n\nExclusion Criteria:\n\n* younger than 18 years of age\n* prior treatment\n* history of neurological or neurosurgical treatment'}, 'identificationModule': {'nctId': 'NCT01225003', 'briefTitle': 'Advanced MR Techniques in Detection of Tumor Infiltration and Grading in Gliomas', 'organization': {'class': 'OTHER', 'fullName': 'Universitaire Ziekenhuizen KU Leuven'}, 'officialTitle': 'Diffusion Kurtosis Imaging en MR Spectroscopy in Grading and the Characterization of Tumour Infiltration in Gliomas', 'orgStudyIdInfo': {'id': 'S52302'}}, 'contactsLocationsModule': {'locations': [{'zip': '3001', 'city': 'Leuven', 'state': 'Vlaams-Brabant', 'country': 'Belgium', 'facility': 'University Hospitals of Leuven', 'geoPoint': {'lat': 50.87959, 'lon': 4.70093}}], 'overallOfficials': [{'name': 'Stefan Sunaert, MD, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Universitaire Ziekenhuizen KU Leuven'}, {'name': 'Uwe Himmelreich, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Catholic University Leuven'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Universitaire Ziekenhuizen KU Leuven', 'class': 'OTHER'}, 'responsibleParty': {'type': 'SPONSOR'}}}}