1
|
Perlman SL. CRPD frontiers in movement disorders Therapeutics: From evidence to treatment and applications: Addressing Patients' Needs in the Management of the Ataxias. Clin Park Relat Disord 2024; 10:100255. [PMID: 38798918 PMCID: PMC11126860 DOI: 10.1016/j.prdoa.2024.100255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 04/02/2024] [Accepted: 05/05/2024] [Indexed: 05/29/2024] Open
Abstract
The genetic ataxias have no cures and no proven ways to delay progression (no disease-modifying therapies). The acquired ataxias may have treatments that address the underlying cause and may slow or stop progression, but will not reverse damage already sustained. The idiopathic ataxias (of unknown genetic or acquired cause) also have no proven disease-modifying therapies. However, for all patients with ataxia of any cause, there is always something that can be done to improve quality of life-treat associated symptoms, provide information and resources, counsel patient and family, help with insurance and disability concerns, be available to listen and answer the many questions they will have.
Collapse
Affiliation(s)
- Susan L. Perlman
- Department of Neurology David Geffen School of Medicine at UCLA Health Sciences 300 UCLA Medical Plaza, Suite B200 Los Angeles, CA 90095, United States
| |
Collapse
|
2
|
Chen HC, Lee LH, Lirng JF, Soong BW. MRl and MRS hints for the differentiation of cerebellar multiple system atrophy from spinocerebellar ataxia type II. Heliyon 2024; 10:e29265. [PMID: 38601670 PMCID: PMC11004415 DOI: 10.1016/j.heliyon.2024.e29265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024] Open
Abstract
Background and objectives The differentiation of spinocerebellar ataxia type II (SCA 2) from idiopathic multiple systemic atrophy of the cerebellar type (MSA-C) is often difficult in patients with cerebellar ataxia when molecular testing is not available. Besides genetic testing, magnetic resonance imagining (MRI) and magnetic resonance spectroscopy (MRS) prove to be beneficial. Nevertheless, the characteristics observed through radiology change as the disease advances. Different radiological criteria may be needed across different stages of the disease. This study aimed to assess the radiological characteristics of MSA-C or SCA 2 patients across various stages of the disease and to identify potential distinguishing factors. Methods Between January 2000 and January 2020, a total of 390 patients, diagnosed with probable MSA-C according to the second consensus on MSA (317 cases) or with molecularly confirmed SCA 2 (73 cases), who had undergone at least one brain MRI and MRS targeting the cerebellar hemispheres, were enrolled in the study. The clinical parameters and neuroimaging features between these two diseases were compared and analyzed. Results A greater occurrence of a pontine hot cross bun sign (HCBS), higher scores on the scale for the assessment and rating of ataxia, and reduced levels of cerebellar N-acetyl aspartate (NAA)/creatine (Cr), and cerebellar choline (Cho)/Cr were found in MSA-C patients as compared with SCA 2 patients at similar disease durations. For the patients with an HCBS, a cerebellar Cho/Cr level of <0.53 was indicative of the potential presence of MSA-C, with significant level of specificity (85.96%). Discussion Discerning SCA2 from MSA-C using MRI and MRS appears to be plausible at various disease stages.
Collapse
Affiliation(s)
- Hung-Chieh Chen
- School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Li-Hua Lee
- Department of Neurology, Cardinal Tien Hospital, New Taipei City, Taiwan
| | - Jiing-Feng Lirng
- School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Bing-wen Soong
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan
- Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan
- Department of Neurology, Taipei Veterans General Hospital, and Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| |
Collapse
|
3
|
Wirth T, Bonnet C, Delvallée C, Pellerin D, Bogdan T, Clément G, Schalk A, Chanson JB, Fleury MC, Piton A, Calmels N, Namer IJ, Kremer S, Brais B, Tranchant C, Renaud M, Anheim M. Does Spinocerebellar ataxia 27B mimic cerebellar multiple system atrophy? J Neurol 2024; 271:2078-2085. [PMID: 38263489 DOI: 10.1007/s00415-024-12182-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 12/28/2023] [Accepted: 12/29/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND Whether spinocerebellar ataxia 27B (SCA27B) may present as a cerebellar multiple system atrophy (MSA-C) mimic remains undetermined. OBJECTIVES To assess the prevalence of FGF14 (GAA)≥250 expansions in patients with MSA-C, to compare SCA27B and MSA-C clinical presentation and natural history. METHODS FGF14 expansion screening combined with longitudinal deep-phenotyping in a prospective cohort of 195 patients with sporadic late-onset cerebellar ataxia. RESULTS After a mean disease duration of 6.4 years, 111 patients were not meeting criteria for MSA-C while 24 and 60 patients had a final diagnosis of possible and probable MSA-C, respectively. 16 patients carried an FGF14 (GAA)≥250 expansion in the group not meeting MSA-C criteria (14.4%), 3 patients in the possible MSA-C group (12.5%), but none among probable MSA-C cases. SCA27B patients were evolving more slowly than probable MSA-C patients. CONCLUSIONS FGF14 (GAA)≥250 expansion may account for MSA look-alike cases and should be screened among slow progressors.
Collapse
Affiliation(s)
- Thomas Wirth
- Neurology Department, Strasbourg University Hospital, Strasbourg, France.
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France.
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964, CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France.
| | - Céline Bonnet
- Medical Genetics Laboratory, Nancy Regional University Hospital, Nancy, France
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Lorraine Univesity, 54000, Nancy, France
| | - Clarisse Delvallée
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964, CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - David Pellerin
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, McGill University, Montreal, Canada
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - Thomas Bogdan
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
| | | | - Audrey Schalk
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Jean-Baptiste Chanson
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Neuromuscular Center Nord/Est/Ile-de-France, Strasbourg University Hospital, Strasbourg, France
| | - Marie-Céline Fleury
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
| | - Amélie Piton
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964, CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Nadège Calmels
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Izzie Jacques Namer
- MNMS Platform, Institut de Cancérologie Strasbourg Europe, Strasbourg, France
- ICube, University of Strasbourg/CNRS UMR 7357, Strasbourg, France
- Department of Nuclear Medicine and Molecular Imaging, ICANS, Strasbourg, France
| | - Stéphane Kremer
- ICube, University of Strasbourg/CNRS UMR 7357, Strasbourg, France
- Neuroradiology Department, Strasbourg University Hospital, Strasbourg, France
| | - Bernard Brais
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, McGill University, Montreal, Canada
| | - Christine Tranchant
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964, CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - Mathilde Renaud
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Lorraine Univesity, 54000, Nancy, France
- Neurology Department, Nancy Regional University Hospital, Nancy, France
- Clinical Genetics Department, Nancy Regional University Hospital, Nancy, France
| | - Mathieu Anheim
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964, CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| |
Collapse
|
4
|
Stephen CD, Vangel M, Gupta AS, MacMore JP, Schmahmann JD. Rates of change of pons and middle cerebellar peduncle diameters are diagnostic of multiple system atrophy of the cerebellar type. Brain Commun 2024; 6:fcae019. [PMID: 38410617 PMCID: PMC10896291 DOI: 10.1093/braincomms/fcae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/01/2023] [Accepted: 02/19/2024] [Indexed: 02/28/2024] Open
Abstract
Definitive diagnosis of multiple system atrophy of the cerebellar type (MSA-C) is challenging. We hypothesized that rates of change of pons and middle cerebellar peduncle diameters on MRI would be unique to MSA-C and serve as diagnostic biomarkers. We defined the normative data for anterior-posterior pons and transverse middle cerebellar peduncle diameters on brain MRI in healthy controls, performed diameter-volume correlations and measured intra- and inter-rater reliability. We studied an Exploratory cohort (2002-2014) of 88 MSA-C and 78 other cerebellar ataxia patients, and a Validation cohort (2015-2021) of 49 MSA-C, 13 multiple system atrophy of the parkinsonian type (MSA-P), 99 other cerebellar ataxia patients and 314 non-ataxia patients. We measured anterior-posterior pons and middle cerebellar peduncle diameters on baseline and subsequent MRIs, and correlated results with Brief Ataxia Rating Scale scores. We assessed midbrain:pons and middle cerebellar peduncle:pons ratios over time. The normative anterior-posterior pons diameter was 23.6 ± 1.6 mm, and middle cerebellar peduncle diameter 16.4 ± 1.4 mm. Pons diameter correlated with volume, r = 0.94, P < 0.0001. The anterior-posterior pons and middle cerebellar peduncle measures were smaller at first scan in MSA-C compared to all other ataxias; anterior-posterior pons diameter: Exploratory, 19.3 ± 2.6 mm versus 20.7 ± 2.6 mm, Validation, 19.9 ± 2.1 mm versus 21.1 ± 2.1 mm; middle cerebellar peduncle transverse diameter, Exploratory, 12.0 ± 2.6 mm versus 14.3 ±2.1 mm, Validation, 13.6 ± 2.1 mm versus 15.1 ± 1.8 mm, all P < 0.001. The anterior-posterior pons and middle cerebellar peduncle rates of change were faster in MSA-C than in all other ataxias; anterior-posterior pons diameter rates of change: Exploratory, -0.87 ± 0.04 mm/year versus -0.09 ± 0.02 mm/year, Validation, -0.89 ± 0.48 mm/year versus -0.10 ± 0.21 mm/year; middle cerebellar peduncle transverse diameter rates of change: Exploratory, -0.84 ± 0.05 mm/year versus -0.08 ± 0.02 mm/year, Validation, -0.94 ± 0.64 mm/year versus -0.11 ± 0.27 mm/year, all values P < 0.0001. Anterior-posterior pons and middle cerebellar peduncle diameters were indistinguishable between Possible, Probable and Definite MSA-C. The rate of anterior-posterior pons atrophy was linear, correlating with ataxia severity. Using a lower threshold anterior-posterior pons diameter decrease of -0.4 mm/year to balance sensitivity and specificity, area under the curve analysis discriminating MSA-C from other ataxias was 0.94, yielding sensitivity 0.92 and specificity 0.87. For the middle cerebellar peduncle, with threshold decline -0.5 mm/year, area under the curve was 0.90 yielding sensitivity 0.85 and specificity 0.79. The midbrain:pons ratio increased progressively in MSA-C, whereas the middle cerebellar peduncle:pons ratio was almost unchanged. Anterior-posterior pons and middle cerebellar peduncle diameters were smaller in MSA-C than in MSA-P, P < 0.001. We conclude from this 20-year longitudinal clinical and imaging study that anterior-posterior pons and middle cerebellar peduncle diameters are phenotypic imaging biomarkers of MSA-C. In the correct clinical context, an anterior-posterior pons and transverse middle cerebellar peduncle diameter decline of ∼0.8 mm/year is sufficient for and diagnostic of MSA-C.
Collapse
Affiliation(s)
- Christopher D Stephen
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Mark Vangel
- Biostatistics Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
| | - Anoopum S Gupta
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jason P MacMore
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jeremy D Schmahmann
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| |
Collapse
|
5
|
Lobo CC, Wertheimer GS, Schmitt GS, Matos PC, Rezende TJ, Silva JM, Borba FC, Lima FD, Martinez AR, Barsottini OG, Pedroso JL, Marques W, França MC. Cranial Nerve Thinning Distinguishes RFC1-Related Disorder from Other Late-Onset Ataxias. Mov Disord Clin Pract 2024; 11:45-52. [PMID: 38291837 PMCID: PMC10828611 DOI: 10.1002/mdc3.13930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/11/2023] [Accepted: 11/04/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND RFC1-related disorder (RFC1/CANVAS) shares clinical features with other late-onset ataxias, such as spinocerebellar ataxias (SCA) and multiple system atrophy cerebellar type (MSA-C). Thinning of cranial nerves V (CNV) and VIII (CNVIII) has been reported in magnetic resonance imaging (MRI) scans of RFC1/CANVAS, but its specificity remains unclear. OBJECTIVES To assess the usefulness of CNV and CNVIII thinning to differentiate RFC1/CANVAS from SCA and MSA-C. METHODS Seventeen individuals with RFC1/CANVAS, 57 with SCA (types 2, 3 and 6), 11 with MSA-C and 15 healthy controls were enrolled. The Balanced Fast Field Echo sequence was used for assessment of cranial nerves. Images were reviewed by a neuroradiologist, who classified these nerves as atrophic or normal, and subsequently the CNV was segmented manually by an experienced neurologist. Both assessments were blinded to patient and clinical data. Non-parametric tests were used to assess between-group comparisons. RESULTS Atrophy of CNV and CNVIII, both alone and in combination, was significantly more frequent in the RFC1/CANVAS group than in healthy controls and all other ataxia groups. Atrophy of CNV had the highest sensitivity (82%) and combined CNV and CNVIII atrophy had the best specificity (92%) for diagnosing RFC1/CANVAS. In the quantitative analyses, CNV was significantly thinner in the RFC1/CANVAS group relative to all other groups. The cutoff CNV diameter that best identified RFC1/CANVAS was ≤2.2 mm (AUC = 0.91; sensitivity 88.2%, specificity 95.6%). CONCLUSION MRI evaluation of CNV and CNVIII using a dedicated sequence is an easy-to-use tool that helps to distinguish RFC1/CANVAS from SCA and MSA-C.
Collapse
Affiliation(s)
- Camila C. Lobo
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| | | | - Gabriel S. Schmitt
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| | - Paula C.A.A.P. Matos
- Department of Neurology and Neurosurgery, School of MedicineFederal University of São Paulo (UNIFESP)São PauloBrazil
| | - Thiago J.R. Rezende
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| | - Joyce M. Silva
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| | - Fabrício C. Borba
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| | - Fabrício D. Lima
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| | - Alberto R.M. Martinez
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| | - Orlando G.P. Barsottini
- Department of Neurology and Neurosurgery, School of MedicineFederal University of São Paulo (UNIFESP)São PauloBrazil
| | - José Luiz Pedroso
- Department of Neurology and Neurosurgery, School of MedicineFederal University of São Paulo (UNIFESP)São PauloBrazil
| | - Wilson Marques
- Department of Neurosciences, School of MedicineUniversity of São Paulo at Ribeirão Preto (USP‐RP)Ribeirão PretoBrazil
| | - Marcondes C. França
- Department of Neurology, School of Medical SciencesUniversity of Campinas (UNICAMP)CampinasBrazil
| |
Collapse
|
6
|
Wirth T, Clément G, Delvallée C, Bonnet C, Bogdan T, Iosif A, Schalk A, Chanson JB, Pellerin D, Brais B, Roth V, Wandzel M, Fleury MC, Piton A, Calmels N, Namer IJ, Kremer S, Tranchant C, Renaud M, Anheim M. Natural History and Phenotypic Spectrum of GAA-FGF14 Sporadic Late-Onset Cerebellar Ataxia (SCA27B). Mov Disord 2023; 38:1950-1956. [PMID: 37470282 DOI: 10.1002/mds.29560] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/05/2023] [Accepted: 07/05/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Heterozygous GAA expansions in the FGF14 gene have been related to autosomal dominant cerebellar ataxia (SCA27B-MIM:620174). Whether they represent a common cause of sporadic late-onset cerebellar ataxia (SLOCA) remains to be established. OBJECTIVES To estimate the prevalence, characterize the phenotypic spectrum, identify discriminative features, and model longitudinal progression of SCA27B in a prospective cohort of SLOCA patients. METHODS FGF14 expansions screening combined with longitudinal deep-phenotyping in a prospective cohort of 118 SLOCA patients (onset >40 years of age, no family history of cerebellar ataxia) without a definite diagnosis. RESULTS Prevalence of SCA27B was 12.7% (15/118). Higher age of onset, higher Spinocerebellar Degeneration Functional Score, presence of vertigo, diplopia, nystagmus, orthostatic hypotension absence, and sensorimotor neuropathy were significantly associated with SCA27B. Ataxia progression was ≈0.4 points per year on the Scale for Assessment and Rating of Ataxia. CONCLUSIONS FGF14 expansion is a major cause of SLOCA. Our natural history data will inform future FGF14 clinical trials. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Thomas Wirth
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | | | - Clarisse Delvallée
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - Céline Bonnet
- Medical Genetics Laboratory, Nancy Regional University Hospital, Nancy, France
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Lorraine University, Nancy, France
| | - Thomas Bogdan
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
| | - Andra Iosif
- Neurology Department, Hospital of Mulhouse, Mulhouse, France
| | - Audrey Schalk
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Jean-Baptiste Chanson
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Neuromuscular Center Nord/Est/Ile-de-France, Strasbourg University Hospital, Strasbourg, France
| | - David Pellerin
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, Montreal, Canada
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - Bernard Brais
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, Montreal, Canada
| | - Virginie Roth
- Medical Genetics Laboratory, Nancy Regional University Hospital, Nancy, France
| | - Marion Wandzel
- Medical Genetics Laboratory, Nancy Regional University Hospital, Nancy, France
| | - Marie-Céline Fleury
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
| | - Amélie Piton
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Nadège Calmels
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Izzie Jacques Namer
- MNMS Platform, University Hospitals of Strasbourg, Strasbourg, France
- ICube, University of Strasbourg/CNRS UMR 7357, Strasbourg, France
- Department of Nuclear Medicine and Molecular Imaging, Strasbourg, France
| | - Stéphane Kremer
- ICube, University of Strasbourg/CNRS UMR 7357, Strasbourg, France
- Neuroradiology Department, Strasbourg University Hospital, Strasbourg, France
| | - Christine Tranchant
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - Mathilde Renaud
- Neurology Department, Nancy Regional University Hospital, Nancy, France
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Lorraine University, Nancy, France
- Clinical Genetics Department, Nancy Regional University Hospital, Nancy, France
| | - Mathieu Anheim
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| |
Collapse
|
7
|
Gunduz A, Aktan Süzgün M, Tütüncü M, Apaydın H, Kızıltan G. Ataxia in a Movement Disorders Outpatient Clinic: a Single-Center Experience in Turkey. CEREBELLUM (LONDON, ENGLAND) 2023; 22:183-191. [PMID: 35143029 DOI: 10.1007/s12311-022-01378-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/02/2022] [Indexed: 06/14/2023]
Abstract
The etiology may not be determined in patients with ataxia despite detailed evaluations. The aim of this study was to investigate the clinical and laboratory characteristics of a large cohort of patients with adult-onset ataxia of different etiologies, particularly, undetermined etiologies despite extensive clinical, genetic, laboratory, electrophysiological, and imaging investigations. The medical records of all patients diagnosed with ataxia of subacute-chronic onset between January 2011 and March 2021 were reviewed retrospectively. The records of patients with symptom onset after 16 years of age were included in the study. In all patients, clinical and demographic findings were noted. Etiologies were classified as acquired, hereditary, degenerative (multiple system atrophy-cerebellar, MSA-C), functional, and undetermined. During the study period, we determined 74 patients with ataxia and 59 (35 males) patients met the study criteria. The age range was 22-87 years. The etiologies were hereditary (n = 19), acquired (n = 14), MSA-C (n = 9), functional (n = 2), and undetermined (n = 15). The patients with hereditary etiologies and undetermined causes were significantly younger at admission and at symptom onset (p = 0.001 and p = 0.000). There was a significant delay until diagnosis in patients with hereditary etiologies compared to other etiologies. In acquired etiologies, axial findings (71.4%) were more prominent whereas extremity and axial findings were more common in patients with hereditary etiologies (83.3%, p = 0.030). There were systemic and radiological indicators such as hearing loss, juvenile cataract, or dentate hyperintensity in certain disorders. Hereditary etiologies are as common as acquired or degenerative etiologies in adults. However, they have an earlier onset and delayed diagnosis. Therefore, we should recognize the extracerebellar neurological, systemic, and neuroimaging findings.
Collapse
Affiliation(s)
- Aysegul Gunduz
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey.
| | - Merve Aktan Süzgün
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Melih Tütüncü
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hülya Apaydın
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Güneş Kızıltan
- Department of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey
| |
Collapse
|
8
|
Chen B, He J, Xu M, Cao C, Song D, Yu H, Cui W, Guang Fan G. Automatic classification of MSA subtypes using Whole-brain gray matter function and Structure-Based radiomics approach. Eur J Radiol 2023; 161:110735. [PMID: 36796145 DOI: 10.1016/j.ejrad.2023.110735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND This study aims to develop a radiomics method based on the function and structure of whole-brain gray matter to accurately classify multiple system atrophy with predominant Parkinsonism (MSA-P) or predominant cerebellar ataxia (MSA-C). METHODS We enrolled 30 MSA-C and 41 MSA-P cases for the internal cohort and 11 MSA-C and 10 MSA-P cases for the external test cohort. We extracted 7,308 features, including gray matter volume (GMV), mean amplitude of low-frequency fluctuation (mALFF), mean regional homogeneity (mReHo), degree of centrality (DC), voxel-mirrored homotopic connectivity (VMHC), and resting-state functional connectivity (RSFC) from 3D-T1 and Rs-fMR data. Feature selection was conducted with t-test and least absolute shrinkage and selection operator (Lasso). Classification was performed using the support vector machine with linear and RBF kernel (SVM-linear/SVM-RBF), random forest and logistic regression. Model performance was assessed via receiver operating characteristic (ROC) curve and compared with DeLong's test. RESULTS Feature selection resulted in 12 features, including 1 ALFF, 1 DC and 10 RSFC. All the classifiers showed remarkable classification performance, especially the RF model which exhibited AUC values of 0.91 and 0.80 in the validation and test datasets, respectively. The brain functional activity and connectivity in the cerebellum, orbitofrontal lobe and limbic system were important features to distinguish MSA subtypes with the same disease severity and duration. CONCLUSION Radiomics approach has the potential to support clinical diagnostic systems and to achieve high classification accuracy for distinguishing between MSA-C and MSA-P patients at the individual level.
Collapse
Affiliation(s)
- Boyu Chen
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Jiachuan He
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Ming Xu
- Shenyang University of Technology, Shenyang 110001, Liaoning, PR China
| | - Chenghao Cao
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Radiology, First University Hospital of West China University, Chengdu, Sichuan, PR China
| | - Dandan Song
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Hongmei Yu
- Department of Neurology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Wenzhuo Cui
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Guo Guang Fan
- Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China.
| |
Collapse
|
9
|
Oender D, Faber J, Wilke C, Schaprian T, Lakghomi A, Mengel D, Schöls L, Traschütz A, Fleszar Z, Dufke C, Vielhaber S, Machts J, Giordano I, Grobe-Einsler M, Klopstock T, Stendel C, Boesch S, Nachbauer W, Timmann-Braun D, Thieme AG, Kamm C, Dudesek A, Tallaksen C, Wedding I, Filla A, Schmid M, Synofzik M, Klockgether T. Evolution of Clinical Outcome Measures and Biomarkers in Sporadic Adult-Onset Degenerative Ataxia. Mov Disord 2023; 38:654-664. [PMID: 36695111 DOI: 10.1002/mds.29324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 11/11/2022] [Accepted: 12/22/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Sporadic adult-onset ataxias without known genetic or acquired cause are subdivided into multiple system atrophy of cerebellar type (MSA-C) and sporadic adult-onset ataxia of unknown etiology (SAOA). OBJECTIVES To study the differential evolution of both conditions including plasma neurofilament light chain (NfL) levels and magnetic resonance imaging (MRI) markers. METHODS SPORTAX is a prospective registry of sporadic ataxia patients with an onset >40 years. Scale for the Assessment and Rating of Ataxia was the primary outcome measure. In subgroups, blood samples were taken and MRIs performed. Plasma NfL was measured via a single molecule assay. Regional brain volumes were automatically measured. To assess signal changes, we defined the pons and middle cerebellar peduncle abnormality score (PMAS). Using mixed-effects models, we analyzed changes on a time scale starting with ataxia onset. RESULTS Of 404 patients without genetic diagnosis, 130 met criteria of probable MSA-C at baseline and 26 during follow-up suggesting clinical conversion to MSA-C. The remaining 248 were classified as SAOA. At baseline, NfL, cerebellar white matter (CWM) and pons volume, and PMAS separated MSA-C from SAOA. NfL decreased in MSA-C and did not change in SAOA. CWM and pons volume decreased faster, whereas PMAS increased faster in MSA-C. In MSA-C, pons volume had highest sensitivity to change, and PMAS was a predictor of faster progression. Fulfillment of possible MSA criteria, NfL and PMAS were risk factors, CWM and pons volume protective factors for conversion to MSA-C. CONCLUSIONS This study provides detailed information on differential evolution and prognostic relevance of biomarkers in MSA-C and SAOA. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Demet Oender
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Jennifer Faber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Carlo Wilke
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Tamara Schaprian
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Asadeh Lakghomi
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - David Mengel
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ludger Schöls
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Andreas Traschütz
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Zofia Fleszar
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Claudia Dufke
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Stefan Vielhaber
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Judith Machts
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Ilaria Giordano
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Marcus Grobe-Einsler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Thomas Klopstock
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Friedrich-Baur-Institute, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Claudia Stendel
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Friedrich-Baur-Institute, Ludwig-Maximilians-University, Munich, Germany
| | - Sylvia Boesch
- Department of Neurology and Center for Rare Movement Disorders, Medical University Innsbruck, Austria
| | - Wolfgang Nachbauer
- Department of Neurology and Center for Rare Movement Disorders, Medical University Innsbruck, Austria
| | - Dagmar Timmann-Braun
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, Essen, Germany
| | - Andreas Gustafsson Thieme
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, Essen, Germany
| | - Christoph Kamm
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Neurology, University of Rostock, Germany
| | - Ales Dudesek
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Neurology, University of Rostock, Germany
| | | | - Iselin Wedding
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alessandro Filla
- Department of Neurosciences Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Thomas Klockgether
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University Hospital Bonn, Bonn, Germany
| |
Collapse
|
10
|
Naidoo AK, Wells CD, Rugbeer Y, Naidoo N. The "Hot Cross Bun Sign" in Spinocerebellar Ataxia Types 2 and 7-Case Reports and Review of Literature. Mov Disord Clin Pract 2022; 9:1105-1113. [PMID: 36339304 PMCID: PMC9631856 DOI: 10.1002/mdc3.13550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 07/25/2022] [Accepted: 07/26/2022] [Indexed: 09/19/2023] Open
Abstract
Background The "hot cross bun" sign is a cruciform hyperintensity is seen on T2 weighted imaging within the pons. The sign is considered to be pathognomic for Multiple system atrophy type C. The clinical and radiological features of Multiple system atrophy type C overlap with the autosomal dominant inherited ataxias. We present a case series of 3 African patients with genetically proven Spinocerebellar Ataxia presenting with the Hot cross bun sign and a scoping review of similar studies. Cases We described the phenotypic and radiological presentation of genetically confirmed SCA-2 in two, and SCA-7 in one patient, with the "hot cross bun" sign. Literature Review We performed a scoping review on the Hot Cross Bun Sign.A total of 66 articles were retrieved. We describe the diverse aetiologies of the sign and associated phenotypic and radiological features. We review the Spinocerebellar Ataxias described with a Hot cross bun sign and make comparisons to Multiple System Atrophy Type C [Ref. 1,2]. Conclusions To our knowledge this is the first description of an African cohort presenting with the Hot Cross Bun Sign. We expand the differential diagnosis of the Hot Cross Bun Sign.
Collapse
Affiliation(s)
- Ansuya Kasavelu Naidoo
- Greys Academic HospitalPietermaritzburgSouth Africa
- School of Clinical Medicine, Division NeurologyUniversity of KwaZulu NatalDurbanSouth Africa
| | - Cait‐Lynn Deanne Wells
- Greys Academic HospitalPietermaritzburgSouth Africa
- School of Clinical Medicine, Division NeurologyUniversity of KwaZulu NatalDurbanSouth Africa
| | | | - Neil Naidoo
- Greys Academic HospitalPietermaritzburgSouth Africa
- School of Clinical Medicine, Division NeurologyUniversity of KwaZulu NatalDurbanSouth Africa
| |
Collapse
|
11
|
Abstract
Multiple system atrophy (MSA) is a rare neurodegenerative disease that is characterized by neuronal loss and gliosis in multiple areas of the central nervous system including striatonigral, olivopontocerebellar and central autonomic structures. Oligodendroglial cytoplasmic inclusions containing misfolded and aggregated α-synuclein are the histopathological hallmark of MSA. A firm clinical diagnosis requires the presence of autonomic dysfunction in combination with parkinsonism that responds poorly to levodopa and/or cerebellar ataxia. Clinical diagnostic accuracy is suboptimal in early disease because of phenotypic overlaps with Parkinson disease or other types of degenerative parkinsonism as well as with other cerebellar disorders. The symptomatic management of MSA requires a complex multimodal approach to compensate for autonomic failure, alleviate parkinsonism and cerebellar ataxia and associated disabilities. None of the available treatments significantly slows the aggressive course of MSA. Despite several failed trials in the past, a robust pipeline of putative disease-modifying agents, along with progress towards early diagnosis and the development of sensitive diagnostic and progression biomarkers for MSA, offer new hope for patients.
Collapse
|
12
|
Liu M, Ren H, Lin N, Tan Y, Fan S, Guan H. The “hot cross bun sign” in patients with autoimmune cerebellar ataxia: A case report and literature review. Front Neurol 2022; 13:979203. [PMID: 36062012 PMCID: PMC9437433 DOI: 10.3389/fneur.2022.979203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/25/2022] [Indexed: 11/22/2022] Open
Abstract
Objectives The “hot cross bun sign” (HCBs) on magnetic resonance imaging (MRI) has been initially considered specific for multiple system atrophy with cerebellar features. However, a number of other conditions have since been described, which may be associated with this imaging sign. We herein describe a patient with anti-Ri and paraneoplastic cerebellar ataxia, and review the association of the HCBs on imaging with various neurological autoimmune conditions. Methods We report a 40-year-old woman with anti-Ri-associated paraneoplastic neurological syndrome and breast carcinoma, in whom brain MRI revealed the HCBs late in the disease course. We also reviewed similar cases reported in the literature. Results The patient presented with cerebellar ataxia, polyneuropathy, and pyramidal signs. Although brain MRI was initially unremarkable, the HCBs and T2-weighted hyperintensity of the bilateral middle cerebellar peduncles were observed at later follow-up. Anti-Ri was detected in the serum and cerebrospinal fluid. Breast adenocarcinoma was confirmed via an axillary lymph node biopsy. Her symptoms partially resolved after the first corticosteroid pulse. However, subsequent immunotherapy and tumor treatments were ineffective. Four autoimmune cerebellar ataxia cases with the HCBs (two paraneoplastic and two non-paraneoplastic) were identified in the literature. Discussion The HCBs can be associated with paraneoplastic and non-paraneoplastic cerebellar ataxia, which may reflect neurodegeneration secondary to autoimmune injury. Thus, the HCBs should not be considered a contraindication for autoimmune cerebellar syndrome.
Collapse
Affiliation(s)
- Mange Liu
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Haitao Ren
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Nan Lin
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ying Tan
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Siyuan Fan
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Hongzhi Guan
- Department of Neurology, Peking Union Medical College Hospital, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- *Correspondence: Hongzhi Guan
| |
Collapse
|
13
|
Unravelling the etiology of sporadic late-onset cerebellar ataxia in a cohort of 205 patients: a prospective study. J Neurol 2022; 269:6354-6365. [DOI: 10.1007/s00415-022-11253-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 10/16/2022]
|
14
|
Chen HC, Lee LH, Lirng JF, Soong BW. Radiological hints for differentiation of cerebellar multiple system atrophy from spinocerebellar ataxia. Sci Rep 2022; 12:10499. [PMID: 35732792 PMCID: PMC9217810 DOI: 10.1038/s41598-022-14531-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/08/2022] [Indexed: 11/09/2022] Open
Abstract
Differentiation cerebellar multiple systemic atrophy (MSA-C) from spinocerebellar ataxia (SCA) is important. The "hot cross bun" sign (HCBS) at pons and magnetic resonance spectroscopy (MRS) are helpful. However, the prevalence of HCBS and the alteration of cerebellar MRS parameters are evolving with disease progression. We hypothesized that since the HCBS and MRS are evolving with time, different parameters for differentiation of MSA-C and SCA are required at different disease stages. The aim of this study was to evaluate the HCBS and MRS changes in patients with MSA-C and SCA at different disease stages. A total of 398 patients with molecularly confirmed SCA (SCA1, 2, 3, 6, 17) and 286 patients diagnosed with probable MSA-C (without mutations in SCA1, 2, 3, 6, 17 genes), who had received brain magnetic resonance imaging (MRI) and MRS from January 2000 to January 2020, were recruited. Twenty-five patients were molecularly identified as having SCA1, 68 as SCA2, 253 as SCA3, 34 as SCA6, and 18 as SCA17. We compared their clinical parameters and neuroimaging features at different disease stages. The presence of HCBS was assessed using an axial T2 fast spin-echo or FLAIR sequence. Proton MRS was recorded with voxel of interest focusing on cerebellar hemispheres and cerebellar vermis and avoiding cerebrospinal fluid spaces space using a single-voxel stimulated echo acquisition mode sequence. We found that patients with MSA-C tend to have a higher prevalence of pontine HCBS, worse Scale for the Assessment and Rating of Ataxia scores, lower cerebellar N-acetyl aspartate (NAA)/creatinine (Cr), and choline (Cho)/Cr, compared to patients with SCA at corresponding disease stages. In MSA-C patients with a disease duration < 1 year and without pontine HCBS, a cerebellar NAA/Cr ≤ 0.79 is a good indicator of the possibility of MSA-C. By using the pontine HCBS and cerebellar MRS, discerning MSA-C from SCA became possible. This study provides cutoff values of MRS to serve as clues in differentiating MSA-C from SCAs.
Collapse
Affiliation(s)
- Hung-Chieh Chen
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Li-Hua Lee
- Department of Neurology, Cardinal Tien Hospital, New Taipei City, Taiwan
| | - Jiing-Feng Lirng
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Bing-Wen Soong
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan. .,Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan. .,Department of Neurology, Taipei Veterans General Hospital, and Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| |
Collapse
|
15
|
Zheng Y, Wang X, Zhao H, Jiang Y, Zhu Y, Chen J, Sun W, Wang Z, Sun Y. The “Black Straight-Line Sign” in the Putamen in Diffusion-Weighted Imaging: A Potential Diagnostic MRI Marker for Multiple System Atrophy. Front Neurol 2022; 13:890168. [PMID: 35665040 PMCID: PMC9161301 DOI: 10.3389/fneur.2022.890168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 04/28/2022] [Indexed: 12/02/2022] Open
Abstract
Background and Purpose The diagnosis of multiple system atrophy (MSA) remains challenging in clinical practice. This study investigated the value of hypointense signals in the putamen (“black straight-line sign”) in diffusion-weighted imaging (DWI) of brain MRI for distinguishing (MSA) from Parkinson's disease (PD). Methods We retrospectively enrolled 30 MSA patients, 30 PD patients, and 30 healthy controls who had undergone brain MRI between 2016 and 2020. Two readers independently assessed the signal intensity of the bilateral putamen on DWI. The putaminal hypointensity was scored using 4-point visual scales. Putaminal hypointensity and the presence of a “black straight-line sign” were statistically compared between MSA and PD or healthy controls. Results The mean scores of putaminal hypointensity in DWI in the MSA group were significantly higher than in both the PD (U = 315.5, P = 0.034) and healthy control groups (U = 304.0, P = 0.022). Uni- or bilateral putaminal hypointensity in DWI with a score ≥2 was identified in 53.3% (16/30), 16.7% (5/30), and 13.3% (4/30) of MSA, PD, and healthy controls, respectively, with significant differences between MSA and PD (X2 = 8.864, P = 0.003) or healthy controls (X2 = 10.800, P = 0.001). Notably, the “black straight-line sign” of the putamen was observed in 16/30 (sensitivity 53.3%) patients with MSA, while it was absent in PD and healthy controls (specificity 100%). There were no significant differences for the presence of “black straight-line sign” in the MSA-P and MSA-C groups (X2 = 0.433, P = 0.510). Conclusion The “black straight-line sign” of the putamen in DWI of head MRIs has the potential to serve as a diagnostic marker for distinguishing MSA from PD.
Collapse
Affiliation(s)
- Yiming Zheng
- Department of Neurology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Neurovascular Disease Discovery, Beijing, China
| | - Xiwen Wang
- Department of Neurology, Peking University First Hospital, Beijing, China
- Department of Neurology, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Hebei, China
| | - Huajian Zhao
- Department of Neurology, Peking University First Hospital, Beijing, China
- Department of Neurology, University of Chinese Academy of Sciences Shenzhen Hospital (Guangming), Shenzhen, China
| | - Yanyan Jiang
- Department of Neurology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Neurovascular Disease Discovery, Beijing, China
| | - Ying Zhu
- Department of Radiology, Peking University First Hospital, Beijing, China
| | - Jing Chen
- Department of Neurology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Neurovascular Disease Discovery, Beijing, China
| | - Wei Sun
- Department of Neurology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Neurovascular Disease Discovery, Beijing, China
| | - Zhaoxia Wang
- Department of Neurology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Neurovascular Disease Discovery, Beijing, China
- *Correspondence: Zhaoxia Wang
| | - Yunchuang Sun
- Department of Neurology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Neurovascular Disease Discovery, Beijing, China
- Yunchuang Sun
| |
Collapse
|
16
|
Diagnostic efficacy of the magnetic resonance T1w/T2w ratio for the middle cerebellar peduncle in multiple system atrophy and spinocerebellar ataxia: A preliminary study. PLoS One 2022; 17:e0267024. [PMID: 35427382 PMCID: PMC9012356 DOI: 10.1371/journal.pone.0267024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 04/01/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The standardized T1-weighted/T2-weighted (sT1w/T2w) ratio for the middle cerebellar peduncle (MCP) has been reported to be sensitive for detecting degenerative changes in the cerebellar subtype of multiple system atrophy (MSA-C), even in the early stages. We aimed to investigate the diagnostic value of the MCP sT1w/T2w ratio for differentiating between MSA-C and spinocerebellar ataxia (SCA). METHODS We included 32 MSA-C, 8 SCA type 3 (SCA3), 16 SCA type 6 (SCA6) patients, and 17 controls, and the MCP sT1w/T2w ratio was analyzed using a region-of-interest approach. The diagnostic performance of the MCP sT1w/T2w ratio in discriminating among MSA-C, SCA3, and SCA6 was assessed and compared with diagnosis based on visual interpretation of MCP hyperintensities and the "hot cross bun" (HCB) sign. RESULTS MCP sT1w/T2w ratio values were markedly lower in patients with MSA-C than in those with SCA3, those with SCA6, and controls (p < 0.001). The MCP sT1w/T2w ratio showed high diagnostic accuracy for distinguishing MSA-C from SCA3 (area under curve = 0.934), SCA6 (area under curve = 0.965), and controls (area under curve = 0.980). The diagnostic accuracy of the MCP sT1w/T2w ratio for differentiating MSA-C from SCA3 or SCA6 (90.0% for MSA-C vs. SCA3, and 91.7% for MSA-C vs. SCA6) was comparable to or superior than that of visual interpretation of MCP hyperintensities (80.0-87.5% in MSA-C vs. SCA3 and 87.6-97.9% in MSA-C vs. SCA6) or the HCB sign (72.5-80.0% in MSA-C vs. SCA3 and 77.1-93.8% in MSA-C vs. SCA6). CONCLUSIONS The MCP sT1w/T2w ratio might be a sensitive imaging-based marker for detecting MSA-C-related changes and differentiating MSA-C from SCA3 or SCA6.
Collapse
|
17
|
"Cerebellar cognitive reserve": a possible further area of investigation. Aging Clin Exp Res 2021; 33:2883-2886. [PMID: 33595777 PMCID: PMC8531060 DOI: 10.1007/s40520-021-01795-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/11/2021] [Indexed: 11/23/2022]
|
18
|
Ishikawa H, Mandel-Brehm C, Shindo A, Cady MA, Mann SA, Niwa A, Miyashita K, Ii Y, Zorn KC, Taniguchi A, Maeda M, Wilson MR, DeRisi JL, Tomimoto H. Long-term MRI changes in a patient with Kelch-like protein 11-associated paraneoplastic neurological syndrome. Eur J Neurol 2021; 28:4261-4266. [PMID: 34561925 DOI: 10.1111/ene.15120] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/13/2021] [Accepted: 09/17/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE The aim of this study was to identify the long-term radiological changes, autoantibody specificities, and clinical course in a patient with kelch-like protein 11 (KLHL11)-associated paraneoplastic neurological syndrome (PNS). METHODS Serial brain magnetic resonance images were retrospectively assessed. To test for KLHL11 autoantibodies, longitudinal cerebrospinal fluid (CSF) and serum samples were screened by Phage-display ImmunoPrecipitation and Sequencing (PhIP-Seq). Immunohistochemistry was also performed to assess for the presence of KLHL11 in the patient's seminoma tissue. RESULTS A 42-year-old man presented with progressive ataxia and sensorineural hearing loss. Metastatic seminoma was detected 11 months after the onset of the neurological symptoms. Although immunotherapy was partially effective, his cerebellar ataxia gradually worsened over the next 8 years. Brain magnetic resonance imaging revealed progressive brainstem and cerebellar atrophy with a "hot-cross-bun sign", and low-signal intensity on susceptibility-weighted imaging (SWI) in the substantia nigra, red nucleus and dentate nuclei. PhIP-Seq enriched for KLHL11-derived peptides in all samples. Immunohistochemical staining of mouse brain with the patient CSF showed co-localization with a KLHL11 commercial antibody in the medulla and dentate nucleus. Immunohistochemical analysis of seminoma tissue showed anti-KLHL11 antibody-positive particles in cytoplasm. CONCLUSIONS This study suggests that KLHL11-PNS should be included in the differential diagnosis for patients with brainstem and cerebellar atrophy and signal changes not only on T2-FLAIR but also on SWI, which might otherwise be interpreted as secondary to a neurodegenerative disease such as multiple system atrophy.
Collapse
Affiliation(s)
| | - Caleigh Mandel-Brehm
- Department of Biochemistry and Biophysics, University of California, San Francisco, California, USA
| | | | - Martha A Cady
- Department of Biochemistry and Biophysics, University of California, San Francisco, California, USA
| | - Sabrina A Mann
- Department of Biochemistry and Biophysics, University of California, San Francisco, California, USA.,Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Atsushi Niwa
- Department of Neurology, Mie University, Mie, Japan
| | | | - Yuichiro Ii
- Department of Neurology, Mie University, Mie, Japan
| | - Kelsey C Zorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, California, USA
| | | | - Masayuki Maeda
- Department of Neuroradiology, Mie University, Mie, Japan
| | - Michael R Wilson
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, California, USA.,Chan Zuckerberg Biohub, San Francisco, California, USA
| | | |
Collapse
|
19
|
Update on neuroimaging for categorization of Parkinson's disease and atypical parkinsonism. Curr Opin Neurol 2021; 34:514-524. [PMID: 34010220 DOI: 10.1097/wco.0000000000000957] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW Differential diagnosis of Parkinsonism may be difficult. The objective of this review is to present the work of the last three years in the field of imaging for diagnostic categorization of parkinsonian syndromes focusing on progressive supranuclear palsy (PSP) and multiple system atrophy (MSA). RECENT FINDINGS Two main complementary approaches are being pursued. The first seeks to develop and validate manual qualitative or semi-quantitative imaging markers that can be easily used in clinical practice. The second is based on quantitative measurements of magnetic resonance imaging abnormalities integrated in a multimodal approach and in automatic categorization machine learning tools. SUMMARY These two complementary approaches obtained high diagnostic around 90% and above in the classical Richardson form of PSP and probable MSA. Future work will determine if these techniques can improve diagnosis in other PSP variants and early forms of the diseases when all clinical criteria are not fully met.
Collapse
|
20
|
Öz G, Harding IH, Krahe J, Reetz K. MR imaging and spectroscopy in degenerative ataxias: toward multimodal, multisite, multistage monitoring of neurodegeneration. Curr Opin Neurol 2021; 33:451-461. [PMID: 32657886 DOI: 10.1097/wco.0000000000000834] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Degenerative ataxias are rare and currently untreatable movement disorders, primarily characterized by neurodegeneration in the cerebellum and brainstem. We highlight MRI studies with the most potential for utility in pending ataxia trials and underscore advances in disease characterization and diagnostics in the field. RECENT FINDINGS With availability of advanced MRI acquisition methods and specialized software dedicated to the analysis of MRI of the cerebellum, patterns of cerebellar atrophy in different degenerative ataxias are increasingly well defined. The field further embraced rigorous multimodal investigations to study network-level microstructural and functional brain changes and their neurochemical correlates. MRI and magnetic resonance spectroscopy were shown to be more sensitive to disease progression than clinical scales and to detect abnormalities in premanifest mutation carriers. SUMMARY Magnetic resonance techniques are increasingly well placed for characterizing the expression and progression of degenerative ataxias. The most impactful work has arguably come through multi-institutional studies that monitor relatively large cohorts, multimodal investigations that assess the sensitivity of different measures and their interrelationships, and novel imaging approaches that are targeted to known pathophysiology (e.g., iron and spinal imaging in Friedreich ataxia). These multimodal, multi-institutional studies are paving the way to clinical trial readiness and enhanced understanding of disease in degenerative ataxias.
Collapse
Affiliation(s)
- Gülin Öz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, United States
| | - Ian H Harding
- Department of Neuroscience, Central Clinical School.,Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - Janna Krahe
- Department of Neurology.,JARA Brain Institute Molecular Neuroscience and Neuroimaging, Research Centre Ju[Combining Diaeresis]lich, RWTH Aachen University, Aachen, Germany
| | - Kathrin Reetz
- Department of Neurology.,JARA Brain Institute Molecular Neuroscience and Neuroimaging, Research Centre Ju[Combining Diaeresis]lich, RWTH Aachen University, Aachen, Germany
| |
Collapse
|
21
|
"Hot cross bun" is a potential imaging marker for the severity of cerebellar ataxia in MSA-C. NPJ PARKINSONS DISEASE 2021; 7:15. [PMID: 33589630 PMCID: PMC7884406 DOI: 10.1038/s41531-021-00159-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 01/08/2021] [Indexed: 12/21/2022]
Abstract
To evaluate the correlation between “hot cross bun” sign (HCBs) and disease severity in multiple system atrophy (MSA). We recruited patients with probable and possible MSA with parkinsonism (MSA-P) or the cerebellar ataxia (MSA-C) subtypes. Clinical and imaging characteristics were collected and comparison was performed between MSA-C and MSA-P cases. Spearman test was used to evaluate the correlation between HCBs and other variables. Curve estimate and general linear regression was performed to evaluate the relationship between HCBs and the Scale for Assessment and Rating of Ataxia (SARA). Unified Multiple System Atrophy Rating Scale (UMSARS) IV was used to assess the severity of disease. Multinomial ordered logistic regression was used to confirm the increased likelihood of disability for the disease. Eighty-one MSA with HCBs comprising of 50 MSA-C and 31 MSA-P were recruited. We demonstrated that the severity of HCBs showed a positive linear correlation with SARA scores in MSA-C. Multinomial ordered logistic regression test revealed that the increase in the HCBs grade may be associated with an increased likelihood of disability for the disease severity in MSA, especially in those with cerebellar ataxia subtype. We demonstrated that HCBs is a potential imaging marker for the severity of cerebellar ataxia. The increase in the HCBs grade may be associated with an increased likelihood of disability in MSA-C, but not MSA-P cases, suggesting that it may be a useful imaging indicator for disease progression in Chinese patients with MSA-C.
Collapse
|
22
|
Zhu S, Li H, Deng B, Zheng J, Huang Z, Chang Z, Huang Y, Wen Z, Liang Y, Yu M, Chan LL, Tan EK, Wang Q. Various Diseases and Clinical Heterogeneity Are Associated With "Hot Cross Bun". Front Aging Neurosci 2020; 12:592212. [PMID: 33328971 PMCID: PMC7714952 DOI: 10.3389/fnagi.2020.592212] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/21/2020] [Indexed: 12/12/2022] Open
Abstract
Objective: To characterize the clinical phenotypes associated with the "hot cross bun" sign (HCBs) on MRI and identify correlations between neuroimaging and clinical characteristics. Methods: Firstly, we screened a cohort of patients with HCBs from our radiologic information system (RIS) in our center. Secondly, we systematically reviewed published cases on HCBs and classified all these cases according to their etiologies. Finally, we characterized all HCBs cases in detail and classified the disease spectra and their clinical heterogeneity. Results: Out of a total of 3,546 patients who were screened, we identified 40 patients with HCBs imaging sign in our cohort; systemic literature review identified 39 cases, which were associated with 14 diseases. In our cohort, inflammation [neuromyelitis optica spectrum disorders (NMOSD), multiple sclerosis (MS), and acute disseminated encephalomyelitis (ADEM)] and toxicants [toxic encephalopathy caused by phenytoin sodium (TEPS)] were some of the underlying etiologies. Published cases by systemic literature review were linked to metabolic abnormality, degeneration, neoplasm, infection, and stroke. We demonstrated that the clinical phenotype, neuroimaging characteristics, and HCBs response to therapy varied greatly depending on underlying etiologies. Conclusion: This is the first to report HCBs spectra in inflammatory and toxication diseases. Our study and systemic literature review demonstrated that the underpinning disease spectrum may be broader than previously recognized.
Collapse
Affiliation(s)
- Shuzhen Zhu
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.,Department of Neurology, Shunde Hospital of Southern Medical University, Foshan, China
| | - Hualing Li
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Bin Deng
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Jialing Zheng
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Zifeng Huang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Zihan Chang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Yanjun Huang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Zhibo Wen
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Yanran Liang
- Department of Neurology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Mengjue Yu
- Department of Neurology, Chenghai People Hospital, Shantou, China
| | - Ling-Ling Chan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Duke-NUS Medical School, Singapore, Singapore
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Duke-NUS Medical School, Singapore, Singapore
| | - Qing Wang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| |
Collapse
|