Evidence map›Paper›PMID 28293701›Full record

ReviewNeuroradiology2017

Diffusion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke.

Josep Puig, Gerard Blasco, Gottfried Schlaug, Cathy M Stinear, Pepus Daunis-I-Estadella, Carles Biarnes, Jaume Figueras, Joaquín Serena, Maria Hernández-Pérez, Angel Alberich-Bayarri and 8 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Changes in synaptic density in the subacute phase after ischemic stroke: AJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  4. Brain-Machine Interface Induced Morpho-Functional Remodeling of the Neural Motor System in Severe Chronic Stroke.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Josep PuigInstitute of Diagnostic Imaging (IDI) - Research Unit (IDIR), Parc Sanitari Pere Virgili, Barcelona, Spain. jpuigmd@gmail.com.
Gerard BlascoInstitute of Diagnostic Imaging (IDI) - Research Unit (IDIR), Parc Sanitari Pere Virgili, Barcelona, Spain.
Gottfried SchlaugNeuroimaging and Stroke Recovery Laboratory, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA.
Cathy M StinearDepartment of Medicine, Centre for Brain Research, University of Auckland, Auckland, New Zealand.
Pepus Daunis-I-EstadellaDepartment of Computer Science, Applied Mathematics and Statistics, University of Girona, Girona, Spain.
Carles BiarnesGirona Biomedical Research Institute (IDIBGI) - Medical Imaging, Hospital Universitari de Girona Dr. Josep Trueta, 17007, Girona, Spain.
Jaume FiguerasDepartment of Rehabilitation, Dr. Josep Trueta University Hospital, Girona, Spain.
Joaquín SerenaDepartment of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain.
Maria Hernández-PérezStroke Unit, Germans Trias i Pujol University Hospital, Badalona, Spain.
Angel Alberich-BayarriLa Fe Polytechnics and University Hospital, Valencia, Spain.
Mar CastellanosDepartment of Neurology, A Coruña University Hospital, La Coruña, Spain.
David S LiebeskindUCLA Stroke Center, Los Angeles, CA, USA.
Andrew M DemchukCalgary Stroke Program, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.
Bijoy K MenonCalgary Stroke Program, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Kambiz NaelDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Max WintermarkDepartment of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.
Salvador PedrazaGirona Biomedical Research Institute (IDIBGI) - Medical Imaging, Hospital Universitari de Girona Dr. Josep Trueta, 17007, Girona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite improved acute treatment and new tools to facilitate recovery, most patients have motor deficits after stroke, often causing disability. However, motor impairment varies considerably among patients, and recovery in the acute/subacute phase is difficult to predict using clinical measures alone, particularly in severely impaired patients. Accurate early prediction of recovery would help rationalize rehabilitation goals and improve the design of trials testing strategies to facilitate recovery.

methodsWe review the role of diffusion tensor imaging (DTI) in predicting motor recovery after stroke, in monitoring treatment response, and in evaluating white matter remodeling. We critically appraise DTI studies and discuss their limitations, and we explore directions for future study.

resultsGrowing evidence suggests that combining clinical scores with information about corticospinal tract (CST) integrity can improve predictions about motor outcome. The extent of CST damage on DTI and/or the overlap between the CST and a lesion are key prognostic factor that determines motor performance and outcome. Three main strategies to quantify stroke-related CST damage have been proposed: (i) measuring FA distal to the stroke area, (ii) measuring the number of fibers that go through the stroke with tractography, and (iii) measuring the overlap between the stroke and a CST map derived from healthy age- and gender-matched controls.

conclusionRecovery of motor function probably involves remodeling of the CST proper and/or a greater reliance on alternative motor tracts through spontaneous and treatment-induced plasticity. DTI-metrics represent promising clinical biomarkers to predict motor recovery and to monitor and predict the response to neurorehabilitative interventions.

Indexed as

Recovery of FunctionStroke RehabilitationDiffusion Tensor ImagingHumansPrognosisStrokeDiffusion tensor imagingMRIRecoveryRehabilitationStroke

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.