Literature DB >> 28586096

Spinal cord multi-parametric magnetic resonance imaging for survival prediction in amyotrophic lateral sclerosis.

G Querin1, M M El Mendili1,2, T Lenglet3, S Delphine1,4, V Marchand-Pauvert1, H Benali1, P-F Pradat1,5.   

Abstract

BACKGROUND AND
PURPOSE: Assessing survival is a critical issue in patients with amyotrophic lateral sclerosis (ALS). Neuroimaging seems to be promising in the assessment of disease severity and several studies also suggest a strong relationship between spinal cord (SC) atrophy described by magnetic resonance imaging (MRI) and disease progression. The aim of the study was to determine the predictive added value of multimodal SC MRI on survival.
METHODS: Forty-nine ALS patients were recruited and clinical data were collected. Patients were scored on the Revised ALS Functional Rating Scale and manual muscle testing. They were followed longitudinally to assess survival. The cervical SC was imaged using the 3 T MRI system. Cord volume and cross-sectional area (CSA) at each vertebral level were computed. Diffusion tensor imaging metrics were measured. Imaging metrics and clinical variables were used as inputs for a multivariate Cox regression survival model.
RESULTS: On building a multivariate Cox regression model with clinical and MRI parameters, fractional anisotropy, magnetization transfer ratio and CSA at C2-C3, C4-C5, C5-C6 and C6-C7 vertebral levels were significant. Moreover, the hazard ratio calculated for CSA at the C3-C4 and C5-C6 levels indicated an increased risk for patients with SC atrophy (respectively 0.66 and 0.68). In our cohort, MRI parameters seem to be more predictive than clinical variables, which had a hazard ratio very close to 1.
CONCLUSIONS: It is suggested that multimodal SC MRI could be a useful tool in survival prediction especially if used at the beginning of the disease and when combined with clinical variables. To validate it as a biomarker, confirmation of the results in bigger independent cohorts of patients is warranted.
© 2017 EAN.

Entities:  

Keywords:  amyotrophic lateral sclerosis; biomarkers; motor neuron degeneration; spinal cord MRI; spinal cord atrophy; survival prediction

Mesh:

Year:  2017        PMID: 28586096     DOI: 10.1111/ene.13329

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  13 in total

1.  Manifold learning for amyotrophic lateral sclerosis functional loss assessment : Development and validation of a prognosis model.

Authors:  Vincent Grollemund; Gaétan Le Chat; Marie-Sonia Secchi-Buhour; François Delbot; Jean-François Pradat-Peyre; Peter Bede; Pierre-François Pradat
Journal:  J Neurol       Date:  2020-09-04       Impact factor: 4.849

2.  Generic acquisition protocol for quantitative MRI of the spinal cord.

Authors:  Julien Cohen-Adad; Eva Alonso-Ortiz; Mihael Abramovic; Carina Arneitz; Nicole Atcheson; Laura Barlow; Robert L Barry; Markus Barth; Marco Battiston; Christian Büchel; Matthew Budde; Virginie Callot; Anna J E Combes; Benjamin De Leener; Maxime Descoteaux; Paulo Loureiro de Sousa; Marek Dostál; Julien Doyon; Adam Dvorak; Falk Eippert; Karla R Epperson; Kevin S Epperson; Patrick Freund; Jürgen Finsterbusch; Alexandru Foias; Michela Fratini; Issei Fukunaga; Claudia A M Gandini Wheeler-Kingshott; Giancarlo Germani; Guillaume Gilbert; Federico Giove; Charley Gros; Francesco Grussu; Akifumi Hagiwara; Pierre-Gilles Henry; Tomáš Horák; Masaaki Hori; James Joers; Kouhei Kamiya; Haleh Karbasforoushan; Miloš Keřkovský; Ali Khatibi; Joo-Won Kim; Nawal Kinany; Hagen Kitzler; Shannon Kolind; Yazhuo Kong; Petr Kudlička; Paul Kuntke; Nyoman D Kurniawan; Slawomir Kusmia; René Labounek; Maria Marcella Laganà; Cornelia Laule; Christine S Law; Christophe Lenglet; Tobias Leutritz; Yaou Liu; Sara Llufriu; Sean Mackey; Eloy Martinez-Heras; Loan Mattera; Igor Nestrasil; Kristin P O'Grady; Nico Papinutto; Daniel Papp; Deborah Pareto; Todd B Parrish; Anna Pichiecchio; Ferran Prados; Àlex Rovira; Marc J Ruitenberg; Rebecca S Samson; Giovanni Savini; Maryam Seif; Alan C Seifert; Alex K Smith; Seth A Smith; Zachary A Smith; Elisabeth Solana; Yuichi Suzuki; George Tackley; Alexandra Tinnermann; Jan Valošek; Dimitri Van De Ville; Marios C Yiannakas; Kenneth A Weber; Nikolaus Weiskopf; Richard G Wise; Patrik O Wyss; Junqian Xu
Journal:  Nat Protoc       Date:  2021-08-16       Impact factor: 17.021

3.  Neurite orientation dispersion and density imaging can detect presymptomatic axonal degeneration in the spinal cord of ALS mice.

Authors:  R G Gatto; S M Mustafi; M Y Amin; T H Mareci; Yu-Chien Wu; R L Magin
Journal:  Funct Neurol       Date:  2018 Jul/Sept

Review 4.  Recent advances in the diagnosis and prognosis of amyotrophic lateral sclerosis.

Authors:  Stephen A Goutman; Orla Hardiman; Ammar Al-Chalabi; Adriano Chió; Masha G Savelieff; Matthew C Kiernan; Eva L Feldman
Journal:  Lancet Neurol       Date:  2022-03-22       Impact factor: 59.935

Review 5.  Emerging Magnetic Resonance Imaging Techniques and Analysis Methods in Amyotrophic Lateral Sclerosis.

Authors:  Andrew W Barritt; Matt C Gabel; Mara Cercignani; P Nigel Leigh
Journal:  Front Neurol       Date:  2018-12-04       Impact factor: 4.003

Review 6.  A review of cervical spine MRI in ALS patients.

Authors:  F Antonescu; M Adam; C Popa; S Tuţă
Journal:  J Med Life       Date:  2018 Apr-Jun

7.  The spinal and cerebral profile of adult spinal-muscular atrophy: A multimodal imaging study.

Authors:  Giorgia Querin; Mohamed-Mounir El Mendili; Timothée Lenglet; Anthony Behin; Tanya Stojkovic; François Salachas; David Devos; Nadine Le Forestier; Maria Del Mar Amador; Rabab Debs; Lucette Lacomblez; Vincent Meininger; Gaëlle Bruneteau; Julien Cohen-Adad; Stéphane Lehéricy; Pascal Laforêt; Sophie Blancho; Habib Benali; Martin Catala; Menghan Li; Véronique Marchand-Pauvert; Jean-Yves Hogrel; Peter Bede; Pierre-François Pradat
Journal:  Neuroimage Clin       Date:  2018-11-28       Impact factor: 4.881

8.  MRI of the cervical spinal cord predicts respiratory dysfunction in ALS.

Authors:  G Grolez; M Kyheng; R Lopes; C Moreau; K Timmerman; F Auger; G Kuchcinski; A Duhamel; P Jissendi-Tchofo; P Besson; C Laloux; M Petrault; J C Devedjian; Thierry Pérez; Pierre François Pradat; L Defebvre; R Bordet; V Danel-Brunaud; D Devos
Journal:  Sci Rep       Date:  2018-01-29       Impact factor: 4.379

Review 9.  Biomarkers of Spinal and Bulbar Muscle Atrophy (SBMA): A Comprehensive Review.

Authors:  Giorgia Querin; Peter Bede; Veronique Marchand-Pauvert; Pierre-Francois Pradat
Journal:  Front Neurol       Date:  2018-10-10       Impact factor: 4.003

10.  Development and validation of a 1-year survival prognosis estimation model for Amyotrophic Lateral Sclerosis using manifold learning algorithm UMAP.

Authors:  Vincent Grollemund; Gaétan Le Chat; Marie-Sonia Secchi-Buhour; François Delbot; Jean-François Pradat-Peyre; Peter Bede; Pierre-François Pradat
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.