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A prospective multi-centre study of susceptibility map-weighted MRI for the diagnosis of neurodegenerative parkinsonism
DC Field | Value | Language |
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dc.contributor.author | 김윤중 | - |
dc.contributor.author | 류철형 | - |
dc.date.accessioned | 2022-12-22T02:01:19Z | - |
dc.date.available | 2022-12-22T02:01:19Z | - |
dc.date.issued | 2022-05 | - |
dc.identifier.issn | 0938-7994 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/191423 | - |
dc.description.abstract | Objectives This study aimed to compare susceptibility map-weighted imaging (SMwI) using various MRI machines (three vendors) with N-3-fluoropropyl-2-beta-carbomethoxy-3-beta-(4-iodophe nyl)nortropane (F-18-FP-CIT) PET in the Objectives: This study aimed to compare susceptibility map-weighted imaging (SMwI) using various MRI machines (three vendors) with N-3-fluoropropyl-2-β-carbomethoxy-3-β-(4-iodophe nyl)nortropane (18F-FP-CIT) PET in the diagnosis of neurodegenerative parkinsonism in a multi-centre setting. Methods: We prospectively recruited 257 subjects, including 157 patients with neurodegenerative parkinsonism, 54 patients with non-neurodegenerative parkinsonism, and 46 healthy subjects from 10 hospitals between November 2019 and October 2020. All participants underwent both SMwI and 18F-FP-CIT PET. SMwI was interpreted by two independent reviewers for the presence or absence of abnormalities in nigrosome 1, and discrepancies were resolved by consensus. 18F-FP-CIT PET was used as the reference standard. Inter-observer agreement was tested using Cohen's kappa coefficient. McNemar's test was used to test the agreement between the interpretations of SMwI and 18F-FP-CIT PET per participant and substantia nigra (SN). Results: The inter-observer agreement was 0.924 and 0.942 per SN and participant, respectively. The diagnostic sensitivity of SMwI was 97.9% and 99.4% per SN and participant, respectively; its specificity was 95.9% and 95.2%, respectively, and its accuracy was 97.1% and 97.7%, respectively. There was no significant difference between the results of SMwI and 18F-FP-CIT PET (p > 0.05, for both SN and participant). Conclusions: This study demonstrated that the high diagnostic performance of SMwI was maintained in a multi-centre setting with various MRI scanners, suggesting the generalisability of SMwI for determining nigrostriatal degeneration in patients with parkinsonism. Key points: • Susceptibility map-weighted imaging helps clinicians to predict nigrostriatal degeneration. • The protocol for susceptibility map-weighted imaging can be standardised across MRI vendors. • Susceptibility map-weighted imaging showed diagnostic performance comparable to that of dopamine transporter PET in a multi-centre setting with various MRI scanners. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Springer International | - |
dc.relation.isPartOf | EUROPEAN RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Magnetic Resonance Imaging / methods | - |
dc.subject.MESH | Parkinson Disease* | - |
dc.subject.MESH | Parkinsonian Disorders* / diagnostic imaging | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Substantia Nigra / diagnostic imaging | - |
dc.subject.MESH | Tomography, Emission-Computed, Single-Photon | - |
dc.subject.MESH | Tropanes | - |
dc.title | A prospective multi-centre study of susceptibility map-weighted MRI for the diagnosis of neurodegenerative parkinsonism | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurology (신경과학교실) | - |
dc.contributor.googleauthor | Young Hee Sung | - |
dc.contributor.googleauthor | Joong-Seok Kim | - |
dc.contributor.googleauthor | Sang-Won Yoo | - |
dc.contributor.googleauthor | Na-Young Shin | - |
dc.contributor.googleauthor | Yoonho Nam | - |
dc.contributor.googleauthor | Tae-Beom Ahn | - |
dc.contributor.googleauthor | Dallah Yoo | - |
dc.contributor.googleauthor | Kyung Mi Lee | - |
dc.contributor.googleauthor | Hyug-Gi Kim | - |
dc.contributor.googleauthor | Seong-Beom Koh | - |
dc.contributor.googleauthor | Jinhee Kim | - |
dc.contributor.googleauthor | Ilsoo Kim | - |
dc.contributor.googleauthor | Do-Young Kwon | - |
dc.contributor.googleauthor | Younghen Lee | - |
dc.contributor.googleauthor | Chulhan Kim | - |
dc.contributor.googleauthor | Sun Ju Chung | - |
dc.contributor.googleauthor | Sungyang Jo | - |
dc.contributor.googleauthor | Seung Hyun Lee | - |
dc.contributor.googleauthor | Sang Joon Kim | - |
dc.contributor.googleauthor | Minjae Kim | - |
dc.contributor.googleauthor | Chul Hyoung Lyoo | - |
dc.contributor.googleauthor | Min Seok Baek | - |
dc.contributor.googleauthor | Suk Yun Kang | - |
dc.contributor.googleauthor | Suk Ki Chang | - |
dc.contributor.googleauthor | Sang-Won Jo | - |
dc.contributor.googleauthor | Seun Ah Lee | - |
dc.contributor.googleauthor | Hyeo-Il Ma | - |
dc.contributor.googleauthor | Young Eun Kim | - |
dc.contributor.googleauthor | Eun Soo Kim | - |
dc.contributor.googleauthor | Yun Joong Kim | - |
dc.contributor.googleauthor | Hyun Sook Kim | - |
dc.contributor.googleauthor | Min-Hee Woo | - |
dc.contributor.googleauthor | Hye Jeong Choi | - |
dc.contributor.googleauthor | Eung Yeop Kim | - |
dc.identifier.doi | 10.1007/s00330-021-08454-z | - |
dc.contributor.localId | A00796 | - |
dc.contributor.localId | A01333 | - |
dc.relation.journalcode | J00851 | - |
dc.identifier.eissn | 1432-1084 | - |
dc.identifier.pmid | 35064313 | - |
dc.identifier.url | https://link.springer.com/article/10.1007/s00330-021-08454-z | - |
dc.subject.keyword | Magnetic resonance imaging | - |
dc.subject.keyword | Parkinson disease | - |
dc.subject.keyword | Substantia nigra | - |
dc.contributor.alternativeName | Kim, Yun Joong | - |
dc.contributor.affiliatedAuthor | 김윤중 | - |
dc.contributor.affiliatedAuthor | 류철형 | - |
dc.citation.volume | 32 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 3597 | - |
dc.citation.endPage | 3608 | - |
dc.identifier.bibliographicCitation | EUROPEAN RADIOLOGY, Vol.32(5) : 3597-3608, 2022-05 | - |
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