Literature DB >> 26862478

Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI.

Allan R Martin1, Izabela Aleksanderek1, Julien Cohen-Adad2, Zenovia Tarmohamed3, Lindsay Tetreault1, Nathaniel Smith4, David W Cadotte1, Adrian Crawley5, Howard Ginsberg1, David J Mikulis5, Michael G Fehlings1.   

Abstract

BACKGROUND: A recent meeting of international imaging experts sponsored by the International Spinal Research Trust (ISRT) and the Wings for Life Foundation identified 5 state-of-the-art MRI techniques with potential to transform the field of spinal cord imaging by elucidating elements of the microstructure and function: diffusion tensor imaging (DTI), magnetization transfer (MT), myelin water fraction (MWF), MR spectroscopy (MRS), and functional MRI (fMRI). However, the progress toward clinical translation of these techniques has not been established.
METHODS: A systematic review of the English literature was conducted using MEDLINE, MEDLINE-in-Progress, Embase, and Cochrane databases to identify all human studies that investigated utility, in terms of diagnosis, correlation with disability, and prediction of outcomes, of these promising techniques in pathologies affecting the spinal cord. Data regarding study design, subject characteristics, MRI methods, clinical measures of impairment, and analysis techniques were extracted and tabulated to identify trends and commonalities. The studies were assessed for risk of bias, and the overall quality of evidence was assessed for each specific finding using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework.
RESULTS: A total of 6597 unique citations were identified in the database search, and after full-text review of 274 articles, a total of 104 relevant studies were identified for final inclusion (97% from the initial database search). Among these, 69 studies utilized DTI and 25 used MT, with both techniques showing an increased number of publications in recent years. The review also identified 1 MWF study, 11 MRS studies, and 8 fMRI studies. Most of the studies were exploratory in nature, lacking a priori hypotheses and showing a high (72%) or moderately high (20%) risk of bias, due to issues with study design, acquisition techniques, and analysis methods. The acquisitions for each technique varied widely across studies, rendering direct comparisons of metrics invalid. The DTI metric fractional anisotropy (FA) had the strongest evidence of utility, with moderate quality evidence for its use as a biomarker showing correlation with disability in several clinical pathologies, and a low level of evidence that it identifies tissue injury (in terms of group differences) compared with healthy controls. However, insufficient evidence exists to determine its utility as a sensitive and specific diagnostic test or as a tool to predict clinical outcomes. Very low quality evidence suggests that other metrics also show group differences compared with controls, including DTI metrics mean diffusivity (MD) and radial diffusivity (RD), the diffusional kurtosis imaging (DKI) metric mean kurtosis (MK), MT metrics MT ratio (MTR) and MT cerebrospinal fluid ratio (MTCSF), and the MRS metric of N-acetylaspartate (NAA) concentration, although these results were somewhat inconsistent.
CONCLUSIONS: State-of-the-art spinal cord MRI techniques are emerging with great potential to improve the diagnosis and management of various spinal pathologies, but the current body of evidence has only showed limited clinical utility to date. Among these imaging tools DTI is the most mature, but further work is necessary to standardize and validate its use before it will be adopted in the clinical realm. Large, well-designed studies with a priori hypotheses, standardized acquisition methods, detailed clinical data collection, and robust automated analysis techniques are needed to fully demonstrate the potential of these rapidly evolving techniques.

Entities:  

Keywords:  ALS; CSM; DCM; DTI; MRI; MS; MT; SCI; T2*-weighted imaging; amyotrophic lateral sclerosis; cervical spine; cervical spondylotic myelopathy; degenerative cervical myelopathy; diffusion tensor imaging; magnetization transfer; multiple sclerosis; myelopathy; spinal cord; spinal cord injury; spine

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Year:  2015        PMID: 26862478      PMCID: PMC4708075          DOI: 10.1016/j.nicl.2015.11.019

Source DB:  PubMed          Journal:  Neuroimage Clin        ISSN: 2213-1582            Impact factor:   4.881


  135 in total

1.  Diffusion tensor imaging reveals regional differences in the cervical spinal cord in amyotrophic lateral sclerosis.

Authors:  Govind Nair; John D Carew; Sharon Usher; Debbie Lu; Xiaoping P Hu; Michael Benatar
Journal:  Neuroimage       Date:  2010-06-28       Impact factor: 6.556

2.  Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy.

Authors:  Jean-François Budzik; Vincent Balbi; Vianney Le Thuc; Alain Duhamel; Richard Assaker; Anne Cotten
Journal:  Eur Radiol       Date:  2010-08-20       Impact factor: 5.315

3.  Diffusion tensor imaging correlates with the clinical assessment of disease severity in cervical spondylotic myelopathy and predicts outcome following surgery.

Authors:  J G A Jones; S Y Cen; R M Lebel; P C Hsieh; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-19       Impact factor: 3.825

4.  Diffusion anisotropy of the cervical cord is strictly associated with disability in amyotrophic lateral sclerosis.

Authors:  P Valsasina; F Agosta; B Benedetti; D Caputo; M Perini; F Salvi; A Prelle; M Filippi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-10-09       Impact factor: 10.154

5.  Correlation of MR diffusion tensor imaging parameters with ASIA motor scores in hemorrhagic and nonhemorrhagic acute spinal cord injury.

Authors:  Sendhil Cheran; Kathirkamanathan Shanmuganathan; Jiachen Zhuo; Stuart E Mirvis; Bizhan Aarabi; Melvin T Alexander; Rao P Gullapalli
Journal:  J Neurotrauma       Date:  2011-08-29       Impact factor: 5.269

6.  Apparent diffusion coefficient and fractional anisotropy in spinal cord: age and cervical spondylosis-related changes.

Authors:  Hatsuho Mamata; Ferenc A Jolesz; Stephan E Maier
Journal:  J Magn Reson Imaging       Date:  2005-07       Impact factor: 4.813

7.  Cervical cord FMRI abnormalities differ between the progressive forms of multiple sclerosis.

Authors:  Paola Valsasina; Maria A Rocca; Martina Absinta; Federica Agosta; Domenico Caputo; Giancarlo Comi; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2011-08-25       Impact factor: 5.038

8.  Relationship between cervical cord 1H-magnetic resonance spectroscopy and clinoco-electromyographic profile in amyotrophic lateral sclerosis.

Authors:  Ken Ikeda; Kiyoko Murata; Yuji Kawase; Kiyokazu Kawabe; Osamu Kano; Yasuhiro Yoshii; Takanori Takazawa; Takehisa Hirayama; Yasuo Iwasaki
Journal:  Muscle Nerve       Date:  2012-10-05       Impact factor: 3.217

9.  The assessment of neuronal status in normal and cervical spondylotic myelopathy using diffusion tensor imaging.

Authors:  S Rajasekaran; Janardhan S Yerramshetty; Vishnuprasath S Chittode; Rishi M Kanna; Gopalakrishnan Balamurali; Ajoy Prasad Shetty
Journal:  Spine (Phila Pa 1976)       Date:  2014-07-01       Impact factor: 3.468

10.  A better characterization of spinal cord damage in multiple sclerosis: a diffusional kurtosis imaging study.

Authors:  E Raz; M Bester; E E Sigmund; A Tabesh; J S Babb; H Jaggi; J Helpern; R J Mitnick; M Inglese
Journal:  AJNR Am J Neuroradiol       Date:  2013-04-11       Impact factor: 3.825

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  69 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Joint assessment of brain and spinal cord motor tract damage in patients with early RRMS: predominant impact of spinal cord lesions on motor function.

Authors:  Raphaël Chouteau; Benoit Combès; Elise Bannier; Haykel Snoussi; Jean-Christophe Ferré; Christian Barillot; Gilles Edan; Paul Sauleau; Anne Kerbrat
Journal:  J Neurol       Date:  2019-06-07       Impact factor: 4.849

3.  Spatial correspondence of spinal cord white matter tracts using diffusion tensor imaging, fibre tractography, and atlas-based segmentation.

Authors:  Stewart McLachlin; Jason Leung; Vignesh Sivan; Pierre-Olivier Quirion; Phoenix Wilkie; Julien Cohen-Adad; Cari Marisa Whyne; Michael Raymond Hardisty
Journal:  Neuroradiology       Date:  2021-01-14       Impact factor: 2.804

4.  Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

5.  A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

6.  Convolutional Neural Network-Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury.

Authors:  D B McCoy; S M Dupont; C Gros; J Cohen-Adad; R J Huie; A Ferguson; X Duong-Fernandez; L H Thomas; V Singh; J Narvid; L Pascual; N Kyritsis; M S Beattie; J C Bresnahan; S Dhall; W Whetstone; J F Talbott
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-28       Impact factor: 3.825

7.  MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis.

Authors:  D B McCoy; J F Talbott; Michael Wilson; M D Mamlouk; J Cohen-Adad; Mark Wilson; J Narvid
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-15       Impact factor: 3.825

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

Authors:  Yifang Bao; Liqin Yang; Yan Chen; Biyun Zhang; Haiqing Li; Weijun Tang; Daoying Geng; Yuxin Li
Journal:  Eur Radiol       Date:  2018-06-08       Impact factor: 5.315

9.  Diffusion tensor imaging can predict surgical outcomes of patients with cervical compression myelopathy.

Authors:  Satoshi Maki; Masao Koda; Mitsuhiro Kitamura; Taigo Inada; Koshiro Kamiya; Mitsutoshi Ota; Yasushi Iijima; Junya Saito; Yoshitada Masuda; Koji Matsumoto; Masatoshi Kojima; Takayuki Obata; Kazuhisa Takahashi; Masashi Yamazaki; Takeo Furuya
Journal:  Eur Spine J       Date:  2017-06-16       Impact factor: 3.134

10.  Dynamic tractography: Integrating cortico-cortical evoked potentials and diffusion imaging.

Authors:  Brian H Silverstein; Eishi Asano; Ayaka Sugiura; Masaki Sonoda; Min-Hee Lee; Jeong-Won Jeong
Journal:  Neuroimage       Date:  2020-04-12       Impact factor: 6.556

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