Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D010300', 'term': 'Parkinson Disease'}], 'ancestors': [{'id': 'D020734', 'term': 'Parkinsonian Disorders'}, {'id': 'D001480', 'term': 'Basal Ganglia Diseases'}, {'id': 'D001927', 'term': 'Brain Diseases'}, {'id': 'D002493', 'term': 'Central Nervous System Diseases'}, {'id': 'D009422', 'term': 'Nervous System Diseases'}, {'id': 'D009069', 'term': 'Movement Disorders'}, {'id': 'D000080874', 'term': 'Synucleinopathies'}, {'id': 'D019636', 'term': 'Neurodegenerative Diseases'}]}, 'interventionBrowseModule': {'meshes': [{'id': 'D063868', 'term': 'Patient Outcome Assessment'}, {'id': 'C519528', 'term': 'ioflupane'}, {'id': 'D009682', 'term': 'Magnetic Resonance Spectroscopy'}], 'ancestors': [{'id': 'D017063', 'term': 'Outcome Assessment, Health Care'}, {'id': 'D010043', 'term': 'Outcome and Process Assessment, Health Care'}, {'id': 'D011787', 'term': 'Quality of Health Care'}, {'id': 'D006298', 'term': 'Health Services Administration'}, {'id': 'D017531', 'term': 'Health Care Evaluation Mechanisms'}, {'id': 'D017530', 'term': 'Health Care Quality, Access, and Evaluation'}, {'id': 'D013057', 'term': 'Spectrum Analysis'}, {'id': 'D002623', 'term': 'Chemistry Techniques, Analytical'}, {'id': 'D008919', 'term': 'Investigative Techniques'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 145}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'UNKNOWN', 'lastKnownStatus': 'RECRUITING', 'startDateStruct': {'date': '2016-06'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2017-01', 'completionDateStruct': {'date': '2019-05', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2018-10-11', 'studyFirstSubmitDate': '2017-01-04', 'studyFirstSubmitQcDate': '2017-01-12', 'lastUpdatePostDateStruct': {'date': '2018-10-12', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2017-01-16', 'type': 'ESTIMATED'}, 'primaryCompletionDateStruct': {'date': '2019-04', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Presence or absence of "swallow tail" on nigrosome MRI at 3T', 'timeFrame': '12 months', 'description': 'Does absence of "swallow tail" on nigrosome MRI at 3T correlate with final diagnosis of Parkinson\'s Disease 12 months after initial presentation of clinically uncertain diagnosis? Is this correlation as accurate as that of DatScan? Is nigrosome MRI at 3T at least 80% sensitive and 80% specific to predict the final clinical diagnosis of Parkinson\'s disease vs. other movement disorders in patients with indeterminate or atypical parkinsonian features? Is the "swallow tail" and accurate marker of early Parkinson\'s disease.'}]}, 'oversightModule': {'oversightHasDmc': False}, 'conditionsModule': {'conditions': ['Parkinson Disease']}, 'referencesModule': {'references': [{'pmid': '24710392', 'type': 'BACKGROUND', 'citation': "Schwarz ST, Afzal M, Morgan PS, Bajaj N, Gowland PA, Auer DP. The 'swallow tail' appearance of the healthy nigrosome - a new accurate test of Parkinson's disease: a case-control and retrospective cross-sectional MRI study at 3T. PLoS One. 2014 Apr 7;9(4):e93814. doi: 10.1371/journal.pone.0093814. eCollection 2014."}, {'pmid': '23843466', 'type': 'BACKGROUND', 'citation': 'Blazejewska AI, Schwarz ST, Pitiot A, Stephenson MC, Lowe J, Bajaj N, Bowtell RW, Auer DP, Gowland PA. Visualization of nigrosome 1 and its loss in PD: pathoanatomical correlation and in vivo 7 T MRI. Neurology. 2013 Aug 6;81(6):534-40. doi: 10.1212/WNL.0b013e31829e6fd2. Epub 2013 Jul 10.'}, {'pmid': '25376811', 'type': 'BACKGROUND', 'citation': 'Cosottini M, Frosini D, Pesaresi I, Donatelli G, Cecchi P, Costagli M, Biagi L, Ceravolo R, Bonuccelli U, Tosetti M. Comparison of 3T and 7T susceptibility-weighted angiography of the substantia nigra in diagnosing Parkinson disease. AJNR Am J Neuroradiol. 2015 Mar;36(3):461-6. doi: 10.3174/ajnr.A4158. Epub 2014 Nov 6.'}, {'pmid': '25773707', 'type': 'BACKGROUND', 'citation': 'Reiter E, Mueller C, Pinter B, Krismer F, Scherfler C, Esterhammer R, Kremser C, Schocke M, Wenning GK, Poewe W, Seppi K. Dorsolateral nigral hyperintensity on 3.0T susceptibility-weighted imaging in neurodegenerative Parkinsonism. Mov Disord. 2015 Jul;30(8):1068-76. doi: 10.1002/mds.26171. Epub 2015 Mar 15.'}, {'pmid': '19877239', 'type': 'BACKGROUND', 'citation': "Schuff N. Potential role of high-field MRI for studies in Parkinson's disease. Mov Disord. 2009;24 Suppl 2:S684-90. doi: 10.1002/mds.22647."}, {'pmid': '15099543', 'type': 'BACKGROUND', 'citation': "Piccini P, Whone A. Functional brain imaging in the differential diagnosis of Parkinson's disease. Lancet Neurol. 2004 May;3(5):284-90. doi: 10.1016/S1474-4422(04)00736-7."}, {'pmid': '1564476', 'type': 'BACKGROUND', 'citation': "Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry. 1992 Mar;55(3):181-4. doi: 10.1136/jnnp.55.3.181."}, {'pmid': '11912118', 'type': 'BACKGROUND', 'citation': 'Hughes AJ, Daniel SE, Ben-Shlomo Y, Lees AJ. The accuracy of diagnosis of parkinsonian syndromes in a specialist movement disorder service. Brain. 2002 Apr;125(Pt 4):861-70. doi: 10.1093/brain/awf080.'}, {'pmid': '1913360', 'type': 'BACKGROUND', 'citation': 'Rajput AH, Rozdilsky B, Rajput A. Accuracy of clinical diagnosis in parkinsonism--a prospective study. Can J Neurol Sci. 1991 Aug;18(3):275-8. doi: 10.1017/s0317167100031814.'}, {'pmid': '11104200', 'type': 'BACKGROUND', 'citation': 'Pirker W, Asenbaum S, Bencsits G, Prayer D, Gerschlager W, Deecke L, Brucke T. [123I]beta-CIT SPECT in multiple system atrophy, progressive supranuclear palsy, and corticobasal degeneration. Mov Disord. 2000 Nov;15(6):1158-67. doi: 10.1002/1531-8257(200011)15:63.0.co;2-0.'}, {'pmid': '1933245', 'type': 'BACKGROUND', 'citation': "Fearnley JM, Lees AJ. Ageing and Parkinson's disease: substantia nigra regional selectivity. Brain. 1991 Oct;114 ( Pt 5):2283-301. doi: 10.1093/brain/114.5.2283."}, {'pmid': '24601752', 'type': 'BACKGROUND', 'citation': 'Cosottini M, Frosini D, Pesaresi I, Costagli M, Biagi L, Ceravolo R, Bonuccelli U, Tosetti M. MR imaging of the substantia nigra at 7 T enables diagnosis of Parkinson disease. Radiology. 2014 Jun;271(3):831-8. doi: 10.1148/radiol.14131448. Epub 2014 Feb 26.'}, {'pmid': '22367998', 'type': 'BACKGROUND', 'citation': 'Kwon DH, Kim JM, Oh SH, Jeong HJ, Park SY, Oh ES, Chi JG, Kim YB, Jeon BS, Cho ZH. Seven-Tesla magnetic resonance images of the substantia nigra in Parkinson disease. Ann Neurol. 2012 Feb;71(2):267-77. doi: 10.1002/ana.22592.'}, {'pmid': '10430829', 'type': 'BACKGROUND', 'citation': 'Damier P, Hirsch EC, Agid Y, Graybiel AM. The substantia nigra of the human brain. I. Nigrosomes and the nigral matrix, a compartmental organization based on calbindin D(28K) immunohistochemistry. Brain. 1999 Aug;122 ( Pt 8):1421-36. doi: 10.1093/brain/122.8.1421.'}, {'pmid': '10430830', 'type': 'BACKGROUND', 'citation': "Damier P, Hirsch EC, Agid Y, Graybiel AM. The substantia nigra of the human brain. II. Patterns of loss of dopamine-containing neurons in Parkinson's disease. Brain. 1999 Aug;122 ( Pt 8):1437-48. doi: 10.1093/brain/122.8.1437."}, {'pmid': '20211271', 'type': 'BACKGROUND', 'citation': "Baudrexel S, Nurnberger L, Rub U, Seifried C, Klein JC, Deller T, Steinmetz H, Deichmann R, Hilker R. Quantitative mapping of T1 and T2* discloses nigral and brainstem pathology in early Parkinson's disease. Neuroimage. 2010 Jun;51(2):512-20. doi: 10.1016/j.neuroimage.2010.03.005. Epub 2010 Mar 6."}, {'pmid': '18972346', 'type': 'BACKGROUND', 'citation': "Wallis LI, Paley MN, Graham JM, Grunewald RA, Wignall EL, Joy HM, Griffiths PD. MRI assessment of basal ganglia iron deposition in Parkinson's disease. J Magn Reson Imaging. 2008 Nov;28(5):1061-7. doi: 10.1002/jmri.21563."}, {'pmid': '19927171', 'type': 'BACKGROUND', 'citation': "Zhang W, Sun SG, Jiang YH, Qiao X, Sun X, Wu Y. Determination of brain iron content in patients with Parkinson's disease using magnetic susceptibility imaging. Neurosci Bull. 2009 Dec;25(6):353-60. doi: 10.1007/s12264-009-0225-8."}, {'pmid': '1503041', 'type': 'BACKGROUND', 'citation': 'Beam CA. Strategies for improving power in diagnostic radiology research. AJR Am J Roentgenol. 1992 Sep;159(3):631-7. doi: 10.2214/ajr.159.3.1503041.'}, {'pmid': '29247084', 'type': 'DERIVED', 'citation': "Schwarz ST, Xing Y, Naidu S, Birchall J, Skelly R, Perkins A, Evans J, Sare G, Martin-Bastida A, Bajaj N, Gowland P, Piccini P, Auer DP. Protocol of a single group prospective observational study on the diagnostic value of 3T susceptibility weighted MRI of nigrosome-1 in patients with parkinsonian symptoms: the N3iPD study (nigrosomal iron imaging in Parkinson's disease). BMJ Open. 2017 Dec 14;7(12):e016904. doi: 10.1136/bmjopen-2017-016904."}], 'seeAlsoLinks': [{'url': 'http://www.ncbi.nlm.nih.gov/books/NBK48502/', 'label': "NICE Guideline (UK). Diagnosing Parkinson's disease. 2006 \\[cited 2015 Jul 31\\]"}]}, 'descriptionModule': {'briefSummary': "Prospective observational study to compare sensitivity of 3T functional Magnetic Resonance Imaging (3T fMRI) at diagnosing Parkinson's Disease (PD) against the benchmark DaTScan diagnostic test and clinical diagnosis at follow up.", 'detailedDescription': "Idiopathic Parkinson's is characterized by loss of midbrain dopaminergic neurons preferentially affecting the nigrosomes of the pars compacta of the substantia nigra (SNpc). At the time of clinical diagnosis, an estimated 50-70% of the neurons of the SNpc are lost. Non-invasive imaging of cell loss in the nigrosomes containing the SNpc dopaminergic neurons would be clinically desirable for accurate diagnosis in clinically uncertain cases of parkinsonism, especially in the early stages of Parkinson's. Investigators recently discovered that high resolution susceptibility weighted MRI at 7T and 3T demonstrates iron related signal loss of the NS1 in Parkinson's. These studies proved the feasibility and potential of in vivo nigrosome MRI as new diagnostic tool for Parkinson's. Further support of and confidence in our novel diagnostic concept comes from similar observations by other research groups.\n\nProject goals To establish whether nigrosome MRI is an alternative to DatScanTM in the diagnosis of early Parkinson's in patients with diagnostic uncertainty.\n\nTo establish whether nigrosomal iron predicts the severity of Parkinson's. As a secondary aim the investigators will study if nigrosomal iron load as determined by susceptometry correlates to disease severity (MDS-UPDRS).\n\nTRIAL / STUDY OBJECTIVES AND PURPOSE\n\nPURPOSE\n\n* To establish whether nigrosome MRI is an alternative to DatScan in the diagnosis of early Parkinson's\n* To establish whether nigrosomal iron predicts the severity of Parkinson's.\n\nPRIMARY OBJECTIVE Validation of NS1 MRI as a qualitative diagnostic marker in early Parkinson's\n\n• To investigate whether the presence or absence of the swallow tail on nigrosome MRI at 3T is as accurate as DatScan and at least 80% sensitive and 80% specific to predict the final clinical diagnosis of Parkinson's vs. other movement disorder in patients with indeterminate or atypical parkinsonian features.\n\nHypothesis 1: That the swallow tail sign is an accurate marker of early Parkinson's\n\nSECONDARY OBJECTIVES Biomarker discovery based on quantitative nigrosome iron markers in Parkinson's • To investigate whether diagnostic performance of nigrosome MRI can be further improved through quantitative assessment of nigrosomal iron and combination with neuromelanin metrics.\n\nHypothesis 2: That nigrosomal iron metrics further improve the detection of early Parkinson's\n\n• To assess how well disease severity can be predicted by iron content in the nigrosome and by a combination of iron content and the size of the neuromelanin-rich nigra volume.\n\nHypothesis 3: That nigrosomal iron metrics are closely associated with severity of early Parkinson's\n\nThe investigators will be recruiting 145 patients with diagnostic uncertainty of Parkinson's Disease. These patients will undergo a MRI and DATscans and will be clinically examined. They will then be followed-up (clinical examination) in 12 months, identifying if they can be confirmed as having Parkinson's Disease, in order to compare the sensitivity and specificity of nigrosome1 detected by MRI with DATScan, potentially allowing a non-invasive and much less expensive means of diagnosing Parkinson's Disease."}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'maximumAge': '90 Years', 'minimumAge': '21 Years', 'samplingMethod': 'NON_PROBABILITY_SAMPLE', 'studyPopulation': 'All potential participants need to have to capacity to give consent prior to study enrolment. Study participation is not possible if the participant is unable to give consent or does not have the capacity to consent.', 'healthyVolunteers': False, 'eligibilityCriteria': "Inclusion criteria:\n\n* Ability to give informed consent\n* Age \\> 21 to \\< 90 years\n* Clinical symptoms suspicious for a diagnosis of Parkinson's disease but clinical uncertainty with regards to a definite diagnosis:\n\n * Clinical symptoms not meeting all of the required UK brain bank diagnostic criteria for the diagnosis of PD\n * Clinical features not typically associated with PD and therefore raising the possibility of a different type disorder/movement disorder\n* Referred for a DatScan as part of the NHS clinical diagnostic workup to investigate a suspicion for a parkinsonian movement disorder type disease or referred for a research DatScan as part of this study for the diagnostic workup to investigate a suspicion for a parkinsonian movement disorder type disease.\n\nExclusion criteria:\n\n* Participants with any known contraindication to MRI such as:\n\n * Intracranial aneurysm clips\n * Cardiac pacemakers and defibrillators\n * Cochlear implants.\n * MR-incompatible metal implant or tattoo\n * Patients with a significant head tremor\n * Claustrophobia\n * Pregnant women\n * Participants that are felt to be unfit for the MRI scan according to the judgement of medically qualified personnel, either on the research team, or the patient's clinical team. (eg. due to back pain, claustrophobia, acute sickness etc.) This includes patients with signs of impaired temperature regulation such as an extremely high fever.\n* (only for those planned for research DatScan) Participants in which a DatScan nuclear medical study can't be performed due to\n\n * Severe allergy to iodide compounds\n * Thyroid gland dysfunction"}, 'identificationModule': {'nctId': 'NCT03022357', 'acronym': 'N3iPD', 'briefTitle': "Nigrosomal Iron Imaging in Parkinson's Disease", 'organization': {'class': 'OTHER', 'fullName': 'University of Nottingham'}, 'officialTitle': "Nigrosomal Iron Imaging in Parkinson's Disease", 'orgStudyIdInfo': {'id': '16048'}}, 'armsInterventionsModule': {'interventions': [{'name': 'Patient assessment', 'type': 'OTHER', 'description': 'Clinical examination, Examination, Questionnaires'}, {'name': 'DATScan', 'type': 'RADIATION', 'description': 'In small subgroup'}, {'name': 'Orbital X-Ray', 'type': 'RADIATION', 'description': 'If foreign body in eye needs exclusion'}, {'name': 'Magnetic Resonance Imaging (MRI)', 'type': 'OTHER', 'description': 'MRI scanning of all subjects'}]}, 'contactsLocationsModule': {'locations': [{'zip': 'DE22 3NE', 'city': 'Derby', 'state': 'Derbyshire', 'status': 'NOT_YET_RECRUITING', 'country': 'United Kingdom', 'contacts': [{'name': 'Rob Skelly', 'role': 'CONTACT', 'email': 'rob.skelly@nhs.net', 'phone': '01332 340131'}], 'facility': 'Royal Derby Hospital', 'geoPoint': {'lat': 52.92277, 'lon': -1.47663}}, {'zip': 'SW7 2AZ', 'city': 'London', 'status': 'NOT_YET_RECRUITING', 'country': 'United Kingdom', 'contacts': [{'name': 'Antonio M Batisda', 'role': 'CONTACT', 'email': 'a.martin-bastida@imperial.ac.uk', 'phone': '+44 (0)20 7589 5111'}], 'facility': 'Imperial College London', 'geoPoint': {'lat': 51.50853, 'lon': -0.12574}}, {'zip': 'NG7 2RD', 'city': 'Nottingham', 'status': 'RECRUITING', 'country': 'United Kingdom', 'contacts': [{'name': 'Dorothee Auer', 'role': 'CONTACT', 'email': 'dorothee.auer@nottingham.ac.uk'}, {'name': 'Stefan Schwarz', 'role': 'CONTACT', 'email': 'stefan.schwarz@nottingham.ac.uk', 'phoneExt': 'Schwarz'}], 'facility': 'University of Nottingham', 'geoPoint': {'lat': 52.9536, 'lon': -1.15047}}], 'centralContacts': [{'name': 'Dorothee Auer', 'role': 'CONTACT', 'email': 'dorothee.auer@nottingham.ac.uk', 'phone': '01158 231178'}, {'name': 'Stefan Schwarz', 'role': 'CONTACT', 'email': 'stefan.schwarz@nottingham.ac.uk', 'phone': '029 2074 7747'}], 'overallOfficials': [{'name': 'Dorothee Auer (Principal Investigator)', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'University of Nottingham'}, {'name': 'Stefan Schwarz (Co-Principal Investigator)', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'University of Nottingham'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'University of Nottingham', 'class': 'OTHER'}, 'collaborators': [{'name': "Michael J. Fox Foundation for Parkinson's Research", 'class': 'OTHER'}, {'name': 'National Institute for Health Research, United Kingdom', 'class': 'OTHER_GOV'}], 'responsibleParty': {'type': 'SPONSOR'}}}}