Ignite Creation Date:
2025-12-24 @ 6:40 PM
Ignite Modification Date:
2026-01-01 @ 1:36 PM
Study NCT ID:
NCT03438357
Status:
COMPLETED
Last Update Posted:
2023-02-08
First Post:
2018-02-02
Is Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Evaluation of an Automatic Segmentation Software (Pixyl.Neuro) to Track Lesions in Multiple Sclerosis Patients Via Cerebral MRI
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D009103', 'term': 'Multiple Sclerosis'}], 'ancestors': [{'id': 'D020278', 'term': 'Demyelinating Autoimmune Diseases, CNS'}, {'id': 'D020274', 'term': 'Autoimmune Diseases of the Nervous System'}, {'id': 'D009422', 'term': 'Nervous System Diseases'}, {'id': 'D003711', 'term': 'Demyelinating Diseases'}, {'id': 'D001327', 'term': 'Autoimmune Diseases'}, {'id': 'D007154', 'term': 'Immune System Diseases'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'RETROSPECTIVE', 'observationalModel': 'CASE_ONLY'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 200}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2019-01-02', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2023-02', 'completionDateStruct': {'date': '2022-07-06', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2023-02-06', 'studyFirstSubmitDate': '2018-02-02', 'studyFirstSubmitQcDate': '2018-02-16', 'lastUpdatePostDateStruct': {'date': '2023-02-08', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2018-02-19', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2022-07-06', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Lesions detected by Pixyl.Neuro software that were missed by manual analysis of MRI images follow-up images compared to reference image (new T2 lesions, enlarging T2 lesions, new T1 gadolinium lesions)', 'timeFrame': 'baseline until follow-up (maximum 2 years)', 'description': '% cases'}], 'secondaryOutcomes': [{'measure': 'Inter-reader reproducibility', 'timeFrame': 'baseline until follow-up (maximum 2 years)', 'description': 'DICE similarity coefficient between readers'}, {'measure': 'Software versus manual analysis reproducibility for same reader', 'timeFrame': 'baseline until follow-up (maximum 2 years)', 'description': 'DICE similarity coefficient between software result and manual result'}, {'measure': 'Classification of discordances', 'timeFrame': 'baseline until follow-up (maximum 2 years)', 'description': 'Specific description of missed lesions according to technology at fault'}]}, 'oversightModule': {'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Multiple Sclerosis', 'Clinically Isolated Syndrome']}, 'descriptionModule': {'briefSummary': 'Using an automatic software tool, Pixyl.Neuro, to conduct a retrospective analysis (detection of lesions + segmentation of images + tracking over time) of cerebral MRI images acquired during a prospective study of patients presenting with clinically isolated syndrome, and comparing the results against manual analysis.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT'], 'maximumAge': '56 Years', 'minimumAge': '18 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'Subset of patient data collected for the project D-Lay-MS: NCT01817166', 'healthyVolunteers': False, 'eligibilityCriteria': 'Identical to those of the study D-Lay-MS: NCT01817166:\n\nInclusion Criteria:\n\n* The patient must have given his/her informed and signed consent\n* The patient must be insured or beneficiary of a health insurance plan\n* The patient is available for 24 months of follow-up\n* The patient has had a classic CIS with the past 90 days\n* Reference cerebro-medullary MRI scheduled within the 90 days after the beginning of symptoms\n* With MRI (cerebro ± medullary) showing demyelination according to spatial spread criteria by Swanton (2006):\n* At least 1 lesion in at least 2 of the 4 following territories: (1) Peri-ventricular; (2) Juxta-cortical; (3) Sub-tentorial; (4) Medullary\n* No other suspected pathology\n* Vitamin D level in blood less than 100 nmol / l at the pre-inclusion visit\n* Women of childbearing potential must use very effective contraception for the duration of the study. A very effective contraceptive method is defined as a method resulting in a low failure rate (that is to say less than 1% per year) when used consistently and correctly, such as implants, injectables, combined oral contraceptives, IUDs, sexual abstinence, or partner with a vasectomy.\n\nRandomisation stratification criteria:\n\n• The patient can also also meet the temporal dissemination criteria defined according to McDonald criteria 2010 (Polman et al., 2011), because this condition is currently not sufficient for prescribing a background treatment: Simultaneous presence of at least one asymptomatic lesion taking on contrast and at least one asymptomatic lesion not taking on contrast after injection of gadolinium\n\nExclusion Criteria:\n\n* The patient is participating in another study other than D-Lay-MS: NCT01817166 (this criteria does not apply to the POLAR study (RCB 2011-A01269-32); patients included in this study may simultaneously participate in the POLAR study)\n* The patient is in an exclusion period determined by a previous study\n* The patient is under judicial protection, under tutorship or curatorship\n* The patient refuses to sign the consent\n* It is impossible to correctly inform the patient\n* The patient is pregnant, parturient, or breastfeeding\n* Major medical or psychiatric illness that, according to the investigator, would result in the patient running an unnecessary risk or that could affect compliance with the study protocol\n* Vitamin D insufficiency linked to currently active digestive or more general diseases (celiac disease, inflammatory bowel disease, intestinal bypass, short bowel syndrome, cirrhosis, nephrotic syndrome, hyperthyroidism, rickets, hypoparathyroidism, cancer, granulomatous diseases and lymphomas)\n* Moderate or severe renal insufficiency (creatinine clearance less than 60 ml / min)\n* Epilepsy not adequately controlled by treatment\n* Any illness requiring chronic treatment with corticosteroids\n* Patient with osteoporosis or history of osteopenia\n* Pathology requiring calcium intakes greater than 1 gram per day\n* Current or past history of hypercalcemia\n* Medications that affect the metabolism of vitamin D other than corticosteroids; e.g. anticonvulsants \\[phenobarbital, primidone, phenytoin\\] rifampicin, isoniazid, ketoconazole, 5-FU and leucovorin, thiazide diuretics.\n* Situations accompanied by increased vulnerability to hypercalcemia, e.g. arrhythmia or known heart disease, treatment with digitalis, and subjects with nephrolithiasis.\n* Contraindications to vitamin D3 as mentioned in the documentation for UVEDOSE\n* Known hypersensitivity to gadolinium and / or known inability to undergo an MRI (pacemaker, osteosynthesis material, intraocular metal splinter, etc ....).\n* The subject is participating in an interventional study, or is in a period of exclusion determined by a previous study\n* The subject refuses to sign the consent\n* It is impossible to give the subject informed information\n* The patient is under safeguard of justice or state guardianship'}, 'identificationModule': {'nctId': 'NCT03438357', 'acronym': 'PIXCIS', 'briefTitle': 'Evaluation of an Automatic Segmentation Software (Pixyl.Neuro) to Track Lesions in Multiple Sclerosis Patients Via Cerebral MRI', 'organization': {'class': 'OTHER', 'fullName': 'Centre Hospitalier Universitaire de Nīmes'}, 'officialTitle': 'Evaluation of an Automatic Segmentation Software (Pixyl.Neuro) to Track Lesions in Multiple Sclerosis Patients Via Cerebral MRI', 'orgStudyIdInfo': {'id': 'IDIL/2017/ET-01'}}, 'armsInterventionsModule': {'armGroups': [{'label': 'Patients with multiple sclerosis', 'interventionNames': ['Other: Analysis of cerebral MRI with automatic segmentation software']}], 'interventions': [{'name': 'Analysis of cerebral MRI with automatic segmentation software', 'type': 'OTHER', 'description': 'Pixyl.Neuro software versus manual analysis of lesions', 'armGroupLabels': ['Patients with multiple sclerosis']}]}, 'contactsLocationsModule': {'locations': [{'zip': '30029', 'city': 'Nîmes', 'country': 'France', 'facility': 'CHU Nimes', 'geoPoint': {'lat': 43.83665, 'lon': 4.35788}}], 'overallOfficials': [{'name': 'Eric Thouvenot', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'CHU Nimes'}]}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Centre Hospitalier Universitaire de Nīmes', 'class': 'OTHER'}, 'collaborators': [{'name': 'Roche Pharma AG', 'class': 'INDUSTRY'}], 'responsibleParty': {'type': 'SPONSOR'}}}}