Evidence map›Paper›PMID 30496320›Full record

ArticlePloS one2018

Measurement of spinal cord atrophy using phase sensitive inversion recovery (PSIR) imaging in motor neuron disease.

Nicholas T Olney, Antje Bischof, Howard Rosen, Eduardo Caverzasi, William A Stern, Catherine Lomen-Hoerth, Bruce L Miller, Roland G Henry, Nico Papinutto

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. MRI Measurement of Upper Cervical Spinal Cord Cross-Sectional Area in Children.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Article
  9. Article
  10. Intersubject Variability and Normalization Strategies for Spinal Cord Total Cross-Sectional and Gray Matter Areas.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Article
  11. Article
  12. Article
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

9 authors at 1 institution in 2 countries.

Nicholas T OlneyDepartment of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0003-3114-6638
Antje BischofDepartment of Neurology, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0003-3862-5738
Howard RosenDepartment of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, United States of America.
Eduardo CaverzasiDepartment of Neurology, University of California San Francisco, San Francisco, California, United States of America.
William A SternDepartment of Neurology, University of California San Francisco, San Francisco, California, United States of America.ORCID 0000-0003-1236-7654
Catherine Lomen-HoerthDepartment of Neurology, University of California San Francisco Amyotrophic Lateral Sclerosis Center, University of California San Francisco, San Francisco, California, United States of America.
Bruce L MillerDepartment of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, United States of America.
Roland G HenryDepartment of Neurology, University of California San Francisco, San Francisco, California, United States of America.
Nico PapinuttoDepartment of Neurology, University of California San Francisco, San Francisco, California, United States of America.
University of California, San Francisco · US

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS)U01AG045390 · NIA · MAYO CLINIC ROCHESTER · PI BOEVE, BRADLEY F, ROSEN, HOWARD J · 2014 to 2018
$16.9M
NIA NIH HHS P01 AG019724NIA NIH HHS U01 AG045390
6 · The paper itself

Abstract

backgroundThe spectrum of motor neuron disease (MND) includes numerous phenotypes with various life expectancies. The degree of upper and lower motor neuron involvement can impact prognosis. Phase sensitive inversion recovery (PSIR) imaging has been shown to detect in vivo gray matter (GM) and white matter (WM) atrophy in the spinal cord of other patient populations but has not been explored in MND.

methodsIn this study, total cord, WM and GM areas of ten patients with a diagnosis within the MND spectrum were compared to those of ten healthy controls (HC). Patients' diagnosis included amyotrophic lateral sclerosis (ALS), primary lateral sclerosis, primary muscular atrophy, facial onset sensory and motor neuronopathy and ALS-Frontotemporal dementia. Axial 2D PSIR images were acquired at four cervical disc levels (C2-C3, C3-C4, C5-C6 and C7-T1) with a short acquisition time (2 minutes) protocol. Total cross-sectional areas (TCA), GM and WM areas were measured using a combination of highly reliable manual and semi-automated methods. Cord areas in MND patients were compared with HC using linear regression analyses adjusted for age and sex. Correlation of WM and GM areas in MND patients was explored to gain insights into underlying atrophy patterns.

resultsMND patients as a group had significantly smaller cervical cord GM area compared to HC at all four levels (C2-C3: p = .009; C3-C4: p = .001; C5-C6: p = .006; C7-T1: p = .002). WM area at C5-C6 level was significantly smaller (p = .001). TCA was significantly smaller at C3-C4 (p = .018) and C5-C6 (p = .002). No significant GM and WM atrophy was detected in the two patients with predominantly bulbar phenotype. Concomitant GM and WM atrophy was detected in solely upper or lower motor neuron level phenotypes. There was a significant correlation between GM and WM areas at all four levels in this diverse population of MND.

conclusionSpinal cord GM and WM atrophy can be detected in vivo in patients within the MND spectrum using a short acquisition time 2D PSIR imaging protocol. PSIR imaging shows promise as a method for quantifying spinal cord involvement and thus may be useful for diagnosis, prognosis and for monitoring disease progression.

Indexed as

AdultAgedAmyotrophic Lateral SclerosisAtrophyFemaleFrontotemporal DementiaGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedMotor Neuron DiseaseSpinal CordWhite Matter

Identifiers

PMID30496320
PMCPMC6264489
OpenAlexW2903341715

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.