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1000 Titel
  • CHARON: An Imaging-Based Diagnostic Algorithm to Navigate Through the Sea of Hereditary Degenerative Ataxias
1000 Autor/in
  1. Scaravilli, Alessandra |
  2. Tranfa, Mario |
  3. Pontillo, Giuseppe |
  4. Brais, Bernard |
  5. De Michele, Giovanna |
  6. La Piana, Roberta |
  7. Saccà, Francesco |
  8. Santorelli, Filippo Maria |
  9. Synofzik, Matthis |
  10. Brunetti, Arturo |
  11. Cocozza, Sirio |
1000 Verlag Springer US
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-04
1000 Erschienen in
1000 Quellenangabe
  • 23(5):2122-2129
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s12311-024-01677-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11489197/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>The complexity in diagnosing hereditary degenerative ataxias lies not only in their rarity, but also in the variety of different genetic conditions that can determine sometimes similar and overlapping clinical findings. In this light, Magnetic Resonance Imaging (MRI) plays a key role in the evaluation of these conditions, being a fundamental diagnostic tool needed not only to exclude other causes determining the observed clinical phenotype, but also to proper guide to an adequate genetic testing. Here, we propose an MRI-based diagnostic algorithm named CHARON (Characterization of Hereditary Ataxias Relying On Neuroimaging), to help in disentangling among the numerous, and apparently very similar, hereditary degenerative ataxias. Being conceived from a neuroradiological standpoint, it is based primarily on an accurate evaluation of the observed MRI findings, with the first and most important being the pattern of cerebellar atrophy. Along with the evaluation of the presence, or absence, of additional signal changes and/or supratentorial involvement, CHARON allows for the identification of a small groups of ataxias sharing similar imaging features. The integration of additional MRI findings, demographic, clinical and laboratory data allow then for the identification of typical, and in some cases pathognomonic, phenotypes of hereditary ataxias.</jats:p>
1000 Sacherschließung
lokal Algorithms [MeSH]
lokal Ataxia
lokal Neuroimaging/methods [MeSH]
lokal Magnetic Resonance Imaging
lokal Neuroimaging
lokal Humans [MeSH]
lokal Review
lokal Magnetic Resonance Imaging/methods [MeSH]
lokal Algorithm
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1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2NhcmF2aWxsaSwgQWxlc3NhbmRyYQ==|https://frl.publisso.de/adhoc/uri/VHJhbmZhLCBNYXJpbw==|https://frl.publisso.de/adhoc/uri/UG9udGlsbG8sIEdpdXNlcHBl|https://frl.publisso.de/adhoc/uri/QnJhaXMsIEJlcm5hcmQ=|https://frl.publisso.de/adhoc/uri/RGUgTWljaGVsZSwgR2lvdmFubmE=|https://frl.publisso.de/adhoc/uri/TGEgUGlhbmEsIFJvYmVydGE=|https://frl.publisso.de/adhoc/uri/U2FjY8OgLCBGcmFuY2VzY28=|https://frl.publisso.de/adhoc/uri/U2FudG9yZWxsaSwgRmlsaXBwbyBNYXJpYQ==|https://frl.publisso.de/adhoc/uri/U3lub2Z6aWssIE1hdHRoaXM=|https://frl.publisso.de/adhoc/uri/QnJ1bmV0dGksIEFydHVybw==|https://frl.publisso.de/adhoc/uri/Q29jb3p6YSwgU2lyaW8=
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  1. Università degli Studi di Napoli Federico II |
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    1000 Förderer Università degli Studi di Napoli Federico II |
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