Literature DB >> 29948064

Radial diffusivity as an imaging biomarker for early diagnosis of non-demented amyotrophic lateral sclerosis.

Yifang Bao1,2, Liqin Yang1,2, Yan Chen3, Biyun Zhang4, Haiqing Li1,2, Weijun Tang1,2, Daoying Geng5,6, Yuxin Li7,8.   

Abstract

OBJECTIVES: To explore the sensitivity of potential DTI-based biomarkers in detecting microstructural changes for whole-brain white matter in early stage amyotrophic lateral sclerosis (ALS), analyze the relationship between the DTI indices and disease status, and further clarify potential brain regions for disease monitoring and clinical assessment.
METHODS: Thirty-three non-demented ALS patients and 32 age- and gender-matched subjects participated in this study. DTI data were acquired via 3.0T MRI scanner. Maps of diffusion-related indices including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were obtained. Tract-based spatial statistics (TBSS) were used to investigate whole-brain white matter changes of each index. Correlation analyses between both brain-wide and volume-of-interest (VOI)-wide white matter alterations and clinical factors including ALSFRS-R scores, disease duration, and progression rate were performed.
RESULTS: Compared to healthy subjects, ALS patients showed significantly increased RD, MD and reduced FA, mainly along the corticospinal tract (CST) and the body of corpus callosum (CC). Increases in RD were broader than decreases in FA, in CST of both hemispheres. Meanwhile, involvement of several extra-motor regions was also revealed by RD. Significant positive correlation between ALSFRS-R scores and FA, negative correlation between ALSFRS-R and RD were found in left CST.
CONCLUSIONS: RD may be the most sensitive biomarker for the detection of early demyelination of white matter. Both RD and FA may serve as objective biomarkers for disease severity assessment. CST may be the most affected brain region in non-demented ALS. KEY POINTS: • Changes in RD were broader than those in FA in bilateral CST. • Involvement of extra-motor regions was uncovered by RD. • FA and RD in CST were related to ALSFRS-R scores.

Entities:  

Keywords:  Amyotrophic Lateral Sclerosis; Diffusion Tensor Imaging; Early Detection of Disease

Mesh:

Substances:

Year:  2018        PMID: 29948064     DOI: 10.1007/s00330-018-5506-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  72 in total

1.  Diffusion tensor MRI assesses corticospinal tract damage in ALS.

Authors:  C M Ellis; A Simmons; D K Jones; J Bland; J M Dawson; M A Horsfield; S C Williams; P N Leigh
Journal:  Neurology       Date:  1999-09-22       Impact factor: 9.910

Review 2.  Glial cells in amyotrophic lateral sclerosis.

Authors:  T Philips; J D Rothstein
Journal:  Exp Neurol       Date:  2014-05-22       Impact factor: 5.330

3.  Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference.

Authors:  Stephen M Smith; Thomas E Nichols
Journal:  Neuroimage       Date:  2008-04-11       Impact factor: 6.556

Review 4.  Pathophysiological and diagnostic implications of cortical dysfunction in ALS.

Authors:  Nimeshan Geevasinga; Parvathi Menon; P Hande Özdinler; Matthew C Kiernan; Steve Vucic
Journal:  Nat Rev Neurol       Date:  2016-09-23       Impact factor: 42.937

5.  The segmental diffusivity profile of amyotrophic lateral sclerosis associated white matter degeneration.

Authors:  C Schuster; M Elamin; O Hardiman; P Bede
Journal:  Eur J Neurol       Date:  2016-05-21       Impact factor: 6.089

6.  Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale.

Authors:  Rubika Balendra; Ashley Jones; Naheed Jivraj; Catherine Knights; Catherine M Ellis; Rachel Burman; Martin R Turner; P Nigel Leigh; Christopher E Shaw; Ammar Al-Chalabi
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2014-04-10       Impact factor: 4.092

7.  Widespread grey matter pathology dominates the longitudinal cerebral MRI and clinical landscape of amyotrophic lateral sclerosis.

Authors:  Ricarda A L Menke; Sonja Körner; Nicola Filippini; Gwenaëlle Douaud; Steven Knight; Kevin Talbot; Martin R Turner
Journal:  Brain       Date:  2014-06-20       Impact factor: 13.501

8.  Structural and diffusion imaging versus clinical assessment to monitor amyotrophic lateral sclerosis.

Authors:  Arturo Cardenas-Blanco; Judith Machts; Julio Acosta-Cabronero; Joern Kaufmann; Susanne Abdulla; Katja Kollewe; Susanne Petri; Stefanie Schreiber; Hans-Jochen Heinze; Reinhard Dengler; Stefan Vielhaber; Peter J Nestor
Journal:  Neuroimage Clin       Date:  2016-03-16       Impact factor: 4.881

9.  Longitudinal Diffusion Tensor Imaging-Based Assessment of Tract Alterations: An Application to Amyotrophic Lateral Sclerosis.

Authors:  Dobri Baldaranov; Andrei Khomenko; Ines Kobor; Ulrich Bogdahn; Martin Gorges; Jan Kassubek; Hans-Peter Müller
Journal:  Front Hum Neurosci       Date:  2017-12-05       Impact factor: 3.169

10.  Multimodal structural MRI in the diagnosis of motor neuron diseases.

Authors:  Pilar M Ferraro; Federica Agosta; Nilo Riva; Massimiliano Copetti; Edoardo Gioele Spinelli; Yuri Falzone; Gianni Sorarù; Giancarlo Comi; Adriano Chiò; Massimo Filippi
Journal:  Neuroimage Clin       Date:  2017-08-02       Impact factor: 4.881

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  3 in total

Review 1.  Feature selection from magnetic resonance imaging data in ALS: a systematic review.

Authors:  Thomas D Kocar; Hans-Peter Müller; Albert C Ludolph; Jan Kassubek
Journal:  Ther Adv Chronic Dis       Date:  2021-10-13       Impact factor: 5.091

2.  Brainstem Involvement in Amyotrophic Lateral Sclerosis: A Combined Structural and Diffusion Tensor MRI Analysis.

Authors:  Haining Li; Qiuli Zhang; Qianqian Duan; Jiaoting Jin; Fangfang Hu; Jingxia Dang; Ming Zhang
Journal:  Front Neurosci       Date:  2021-06-02       Impact factor: 4.677

3.  Disease aggressiveness signatures of amyotrophic lateral sclerosis in white matter tracts revealed by the D50 disease progression model.

Authors:  Robert Steinbach; Nayana Gaur; Annekathrin Roediger; Thomas E Mayer; Otto W Witte; Tino Prell; Julian Grosskreutz
Journal:  Hum Brain Mapp       Date:  2020-10-26       Impact factor: 5.038

  3 in total

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