Literature DB >> 21044177

MRI predictors of long-term evolution in amyotrophic lateral sclerosis.

Federica Agosta1, Elisabetta Pagani, Melissa Petrolini, Maria P Sormani, Domenico Caputo, Michele Perini, Alessandro Prelle, Fabrizio Salvi, Massimo Filippi.   

Abstract

We investigated whether conventional and diffusion tensor (DT) magnetic resonance imaging (MRI) features of the corticospinal tract (CST) contribute to the prediction of the long-term clinical evolution in patients with amyotrophic lateral sclerosis (ALS). Brain conventional and DT MRI were obtained from 18 healthy subjects and 24 patients with sporadic ALS. Mean diffusivity (MD) and fractional anisotropy (FA) of the CST were obtained. Patients were scanned at baseline, then entered a longitudinal clinical follow-up. The ALS Functional Rating scale (ALSFRS) progression rate during follow-up was estimated. Patients were followed up prospectively for a median period of 3.4 years. Two patients were lost at follow-up and eight died during the observation period. The mean ALSFRS progression rate was 0.7/month (range = 0.0–2.0/month). At baseline, ALS patients showed significantly increased MD and decreased FA of the CST compared with controls. CST FA was associated with ALSFRS progression rate. ALSFRS deterioration rate and CST FA were independent predictors of survival in ALS patients. Survival at year 3 was 42% in patients with CST FA ≤ 0.56 compared with 90% in patients with CST FA > 0.56. This study shows that more severe CST DT MRI abnormalities predict a poorer long-term clinical outcome in ALS patients. DT MRI of the brain has the potential to offer in vivo markers of disease severity.

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Year:  2010        PMID: 21044177     DOI: 10.1111/j.1460-9568.2010.07445.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  25 in total

1.  Prognostic models for amyotrophic lateral sclerosis: a systematic review.

Authors:  Lu Xu; Bingjie He; Yunjing Zhang; Lu Chen; Dongsheng Fan; Siyan Zhan; Shengfeng Wang
Journal:  J Neurol       Date:  2021-03-10       Impact factor: 4.849

2.  MR Imaging-based Estimation of Upper Motor Neuron Density in Patients with Amyotrophic Lateral Sclerosis: A Feasibility Study.

Authors:  Jacqueline Chen; Volodymyr Kostenko; Erik P Pioro; Bruce D Trapp
Journal:  Radiology       Date:  2018-01-23       Impact factor: 11.105

3.  White matter alterations differ in primary lateral sclerosis and amyotrophic lateral sclerosis.

Authors:  Nobue K Iwata; Justin Y Kwan; Laura E Danielian; John A Butman; Fernanda Tovar-Moll; Elham Bayat; Mary Kay Floeter
Journal:  Brain       Date:  2011-07-28       Impact factor: 13.501

4.  MRI as a frontrunner in the search for amyotrophic lateral sclerosis biomarkers?

Authors:  Martin R Turner
Journal:  Biomark Med       Date:  2011-02       Impact factor: 2.851

5.  Whole-brain magnetic resonance spectroscopic imaging measures are related to disability in ALS.

Authors:  Charlotte J Stagg; Steven Knight; Kevin Talbot; Mark Jenkinson; Andrew A Maudsley; Martin R Turner
Journal:  Neurology       Date:  2013-01-16       Impact factor: 9.910

Review 6.  25 years of neuroimaging in amyotrophic lateral sclerosis.

Authors:  Bradley R Foerster; Robert C Welsh; Eva L Feldman
Journal:  Nat Rev Neurol       Date:  2013-08-06       Impact factor: 42.937

7.  Fractional anisotropy in the supplementary motor area correlates with disease duration and severity of amyotrophic lateral sclerosis.

Authors:  Wataru Sako; Takashi Abe; Yuishin Izumi; Masafumi Harada; Ryuji Kaji
Journal:  Neurol Sci       Date:  2016-01-25       Impact factor: 3.307

Review 8.  Biomarkers in amyotrophic lateral sclerosis: opportunities and limitations.

Authors:  Robert Bowser; Martin R Turner; Jeremy Shefner
Journal:  Nat Rev Neurol       Date:  2011-10-11       Impact factor: 42.937

9.  Cortical progression patterns in individual ALS patients across multiple timepoints: a mosaic-based approach for clinical use.

Authors:  Marlene Tahedl; Rangariroyashe H Chipika; Jasmin Lope; Stacey Li Hi Shing; Orla Hardiman; Peter Bede
Journal:  J Neurol       Date:  2021-01-05       Impact factor: 4.849

10.  VBM Reveals Brain Volume Differences between Parkinson's Disease and Essential Tremor Patients.

Authors:  Ching-Hung Lin; Chun-Ming Chen; Ming-Kuei Lu; Chon-Haw Tsai; Jin-Chern Chiou; Jan-Ray Liao; Jeng-Ren Duann
Journal:  Front Hum Neurosci       Date:  2013-06-14       Impact factor: 3.169

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