Literature DB >> 24812042

Mean upper cervical cord area (MUCCA) measurement in long-standing multiple sclerosis: relation to brain findings and clinical disability.

Marita Daams1, Florian Weiler2, Martijn D Steenwijk3, Horst K Hahn2, Jeroen Jg Geurts3, Hugo Vrenken3, Ronald A van Schijndel3, Lisanne J Balk3, Prejaas K Tewarie3, Jan-Mendelt Tillema4, Joep Killestein3, Bernard Mj Uitdehaag3, Frederik Barkhof3.   

Abstract

BACKGROUND: The majority of patients with multiple sclerosis (MS) present with spinal cord pathology. Spinal cord atrophy is thought to be a marker of disease severity, but in long-disease duration its relation to brain pathology and clinical disability is largely unknown.
OBJECTIVE: Our aim was to investigate mean upper cervical cord area (MUCCA) in patients with long-standing MS and assess its relation to brain magnetic resonance imaging (MRI) measures and clinical disability.
METHODS: MUCCA was measured in 196 MS patients and 55 healthy controls using 3DT1-weighted cervical images obtained at 3T MRI. Clinical disability was measured using the Expanded Disability Status Scale (EDSS), Nine-Hole-Peg test (9-HPT), and 25 feet Timed Walk Test (TWT). Stepwise linear regression was performed to assess the association between MUCCA and MRI measures, and between MUCCA and clinical disability.
RESULTS: MUCCA was smaller (mean 11.7%) in MS patients compared with healthy controls (72.56±9.82 and 82.24±7.80 mm2 respectively; p<0.001), most prominently in male patients. MUCCA was associated with normalized brain volume, and number of cervical cord lesions. MUCCA was independently associated with EDSS, TWT, and 9-HPT.
CONCLUSION: MUCCA was reduced in MS patients compared with healthy controls. It provides a relevant marker for clinical disability in long-standing disease, independent of other MRI measures.
© The Author(s), 2014.

Entities:  

Keywords:  Multiple sclerosis; atrophy; disability evaluation; magnetic resonance imaging; spinal cord

Mesh:

Year:  2014        PMID: 24812042     DOI: 10.1177/1352458514533399

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  17 in total

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Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

Review 2.  Spinal cord MRI in multiple sclerosis--diagnostic, prognostic and clinical value.

Authors:  Hugh Kearney; David H Miller; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2015-05-26       Impact factor: 42.937

3.  Different patterns of longitudinal brain and spinal cord changes and their associations with disability progression in NMO and MS.

Authors:  Yaou Liu; Yunyun Duan; Jing Huang; Zhuoqiong Ren; Zheng Liu; Huiqing Dong; Florian Weiler; Horst K Hahn; Fu-Dong Shi; Helmut Butzkueven; Frederik Barkhof; Kuncheng Li
Journal:  Eur Radiol       Date:  2017-06-30       Impact factor: 5.315

Review 4.  Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS.

Authors:  Tim Sinnecker; Cristina Granziera; Jens Wuerfel; Regina Schlaeger
Journal:  Curr Treat Options Neurol       Date:  2018-04-20       Impact factor: 3.598

5.  A longitudinal MRI study of cervical cord atrophy in multiple sclerosis.

Authors:  Paola Valsasina; Maria A Rocca; Mark A Horsfield; Massimiliano Copetti; Massimo Filippi
Journal:  J Neurol       Date:  2015-05-01       Impact factor: 4.849

6.  Functional brain networks: linking thalamic atrophy to clinical disability in multiple sclerosis, a multimodal fMRI and MEG study.

Authors:  Prejaas Tewarie; Menno M Schoonheim; Daphne I Schouten; Chris H Polman; Lisanne J Balk; Bernard M J Uitdehaag; Jeroen J G Geurts; Arjan Hillebrand; Frederik Barkhof; Cornelis J Stam
Journal:  Hum Brain Mapp       Date:  2014-10-08       Impact factor: 5.038

7.  Relevance of early cervical cord volume loss in the disease evolution of clinically isolated syndrome and early multiple sclerosis: a 2-year follow-up study.

Authors:  Inga T Hagström; Ruth Schneider; Barbara Bellenberg; Anke Salmen; Florian Weiler; Odo Köster; Ralf Gold; Carsten Lukas
Journal:  J Neurol       Date:  2017-06-09       Impact factor: 4.849

Review 8.  MRI in the Diagnosis and Monitoring of Multiple Sclerosis: An Update.

Authors:  M P Wattjes; M D Steenwijk; M Stangel
Journal:  Clin Neuroradiol       Date:  2015-07-23       Impact factor: 3.649

9.  Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability.

Authors:  Yair Mina; Shila Azodi; Tsemacha Dubuche; Frances Andrada; Ikesinachi Osuorah; Joan Ohayon; Irene Cortese; Tianxia Wu; Kory R Johnson; Daniel S Reich; Govind Nair; Steven Jacobson
Journal:  Neuroimage Clin       Date:  2021-04-28       Impact factor: 4.881

10.  Quantitative Magnetic Resonance Imaging Analysis of Early Markers of Upper Cervical Cord Atrophy in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder.

Authors:  Iman Adibi; Afshin Najafi; Fouad Merajifar; Neda Ramezani; Hosein Nouri; Nassim Jalilvand; Fereshteh Ashtari; Alireza Vard; Vahid Shaygannejad
Journal:  Mult Scler Int       Date:  2021-07-09
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