Evidence map›Paper›PMID 28761906›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2017

MRI evaluation of thalamic volume differentiates MS from common mimics.

Andrew J Solomon, Richard Watts, Blake E Dewey, Daniel S Reich

Abstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Quantitative 7T MRI does not detect occult brain damage in neuromyelitis optica.Neurology(R) neuroimmunology & neuroinflammation · 2019
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Tremor in multiple sclerosis is associated with cerebello-thalamic pathology.Journal of neural transmission (Vienna, Austria : 1996) · 2017
    Article
  19. Review
  20. Review
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

4 authors.

Andrew J SolomonDepartment of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD.
Richard WattsDepartment of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD.
Blake E DeweyDepartment of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD.
Daniel S ReichDepartment of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD.

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
6 · The paper itself

Abstract

objectiveTo determine whether MRI evaluation of thalamic volume differentiates MS from other disorders that cause MRI white matter abnormalities.

methodsThere were 40 study participants: 10 participants with MS without additional comorbidities for white matter abnormalities (MS - c); 10 participants with MS with additional comorbidities for white matter abnormalities (MS + c); 10 participants with migraine, MRI white matter abnormalities, and no additional comorbidities for white matter abnormalities (Mig - c); and 10 participants previously incorrectly diagnosed with MS (Misdx). T1-magnetization-prepared rapid gradient-echo and T2-weighted three-dimensional fluid attenuation inversion recovery sequences were acquired on a Phillips Achieva d-Stream 3T MRI, and scans were randomly ordered and de-identified for a blinded reviewer who performed MRI segmentation using LesionTOADS.

resultsMean normalized thalamic volume differed among the 4 cohorts (analysis of variance,

conclusionsMRI volumetric evaluation of the thalamus, but not other deep gray-matter structures, differentiated MS from other diseases that cause white matter abnormalities and are often mistaken for MS. Evaluation for thalamic atrophy may improve accuracy for diagnosis of MS as an adjunct to additional radiologic criteria. Thalamic volumetric assessment by MRI in larger cohorts of patients undergoing evaluation for MS is needed, along with the development of automated and easily applied volumetric assessment tools for future clinical application. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that MRI evaluation of thalamic volume differentiates MS from other diseases that cause white matter abnormalities.

Identifiers

PMID28761906
PMCPMC5515603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.