Highlights
- •The imaging characteristics of the criteria-unfulfilled MSA-C at the initial stage
- •Decreased pontine area and significant laterality of MCP width of cerebral MRI
- •SPECT analysis revealed that the pontine rCBF was reduced.
- •Laterality of cerebellar rCBF and laterality of MCP width were positive correlated.
- •These could be useful to consider the possibility of criteria-unfulfilled MSA-C.
Abstract
To elucidate clinically useful imaging characteristics of multiple system atrophy
with predominant cerebellar ataxia (MSA-C) at the initial stage showing pure cerebellar
ataxia but unfilling consensus criteria (MSA-pc), clinical and neuroradiological analyses
on cerebral MRI and single-photon emission computed tomography (SPECT) for measuring
regional cerebral blood flow (rCBF) were performed. Seven MSA-pc patients meeting
the above condition at an initial evaluation were identified, and all the MSA-pc patients
later developed autonomic dysfunction and finally fulfilled the criteria for probable
or possible category of MSA-C. For comparison, two patients with spinocerebellar ataxia
type 6 and three patients with idiopathic cerebellar ataxia who did not exhibit autonomic
dysfunction for more than three years were enrolled in this study (non-MSA-pc). As
non-ataxic controls without cerebellar involvement, seven patients with Parkinson's
disease were also enrolled. As a result, MRI analysis clarified a smaller pontine
area and significant laterality of middle cerebellar peduncle (MCP) width in MSA-pc
in comparison to non-MSA-pc and controls. SPECT analysis revealed that pontine rCBF
was reduced even at the initial stage of MSA-pc. Moreover, the laterality of cerebellar
rCBF values and the laterality of MCP width in MSA-pc patients exhibited a significant
positive correlation, indicating anatomical and functional laterality of afferent
projections to cerebellum is a characteristic finding for MSA-pc. These neuroimaging
characteristics could be clinically useful to consider the possibility of the criteria-unfulfilled
MSA and promote an earlier intervention after obtaining a diagnosis of probable MSA-C.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of the Neurological SciencesAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Olivopontocerebellar atrophy: MR diagnosis and relationship to multisystem atrophy.Radiology. 1990; 174: 693-696https://doi.org/10.1148/radiology.174.3.2305051
- Clinical usefulness of MRI in multisystem atrophy.J. Neurol. Neurosurg. Psychiatry. 1999; 66: 694https://doi.org/10.1136/jnnp.66.5.694
- Comparison of magnetic resonance imaging in subtypes of multiple system atrophy.Parkinsonism Relat. Disord. 2004; 10: 363-368https://doi.org/10.1016/j.parkreldis.2004.04.008
- MR imaging of middle cerebellar peduncle width: differentiation of multiple system atrophy from Parkinson disease.Radiology. 2006; 239: 825-830https://doi.org/10.1148/radiol.2393050459
- Second consensus statement on the diagnosis of multiple system atrophy.Neurology. 2008; 71: 670-676https://doi.org/10.1212/01.wnl.0000324625.00404.15
- Idiopathic cerebellar ataxia (IDCA): diagnostic criteria and clinical analyses of 63 Japanese patients.J. Neurol. Sci. 2018; 384: 30-35https://doi.org/10.1016/j.jns.2017.11.008
- No effect of age, gender and total intracranial volume on brainstem MR planimetric measurements.Eur. Radiol. 2020; 30: 2802-2808https://doi.org/10.1007/s00330-019-06504-1
- NIH image to ImageJ: 25 years of image analysis.Nat. Methods. 2012; 9: 671-675
- MRI-based cerebellar volume measurements correlate with the international cooperative Ataxia rating scale score in patients with spinocerebellar degeneration or multiple system atrophy.Cerebellum Ataxias. 2016; 3: 14https://doi.org/10.1186/s40673-016-0052-4
- “One line”: a method for differential diagnosis of parkinsonian syndromes.Acta Neurol. Scand. 2019; 140: 229-235https://doi.org/10.1111/ane.13136
- Usefulness of fully automated constant ROI analysis software for the brain: 3DSRT and FineSRT.Radiat. Med. 2006; 24: 538-544https://doi.org/10.1007/s11604-006-0054-x
- Usefulness of a three-dimensional stereotaxic ROI template on anatomically standardised 99mTc-ECD SPET.Eur. J. Nucl. Med. Mol. Imaging. 2002; 29: 331-341https://doi.org/10.1007/s00259-001-0715-z
- Evaluation of regional cerebral blood flow in cerebellar variant of multiple system atrophy using FineSRT.Clin. Neurol. Neurosurg. 2009; 111: 829-834https://doi.org/10.1016/j.clineuro.2009.08.014
- Atlas.Kyoritsu printing, Japan2005
- Survival and severity in dominant cerebellar ataxias.Ann. Clin. Transl. Neurol. 2015; 2: 202-207https://doi.org/10.1002/acn3.156
- Progression and prognosis in multiple system atrophy: an analysis of 230 Japanese patients.Brain. 2002; 125: 1070-1083https://doi.org/10.1093/brain/awf117
- Automated brainstem segmentation detects differential involvement in atypical parkinsonian syndromes.J. Mov. Disord. 2020; 13: 39-46https://doi.org/10.14802/jmd.19030
- Morphometry MRI in the differential diagnosis of parkinsonian syndromes.Arq. Neuropsiquiatr. 2010; 68: 333-338https://doi.org/10.1590/s0004-282x2010000300001
- Clinical and magnetic resonance imaging characteristics of sporadic cerebellar ataxia.Arch. Neurol. 2005; 62: 981-985https://doi.org/10.1001/archneur.62.6.981
- The diagnosis and natural history of multiple system atrophy, Cerebellar Type.Cerebellum. 2016; 15: 663-679https://doi.org/10.1007/s12311-015-0728-y
- Significance of combined use of MRI and perfusion SPECT for evaluation of multiple system atrophy, cerebellar type.Acta Radiol. 2016; 57: 742-749https://doi.org/10.1177/0284185115598810
- Brain SPECT imaging in multiple system atrophy.J. Neural Transm. (Vienna). 2005; 112: 1635-1645https://doi.org/10.1007/s00702-005-0382-5
Article info
Publication history
Published online: May 13, 2022
Accepted:
May 10,
2022
Received in revised form:
April 20,
2022
Received:
January 19,
2022
Identification
Copyright
© 2022 Elsevier B.V. All rights reserved.