Evidence map›Paper›PMID 26118637›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

Whole Brain Volume Measured from 1.5T versus 3T MRI in Healthy Subjects and Patients with Multiple Sclerosis.

Renxin Chu, Shahamat Tauhid, Bonnie I Glanz, Brian C Healy, Gloria Kim, Vinit V Oommen, Fariha Khalid, Mohit Neema, Rohit Bakshi

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
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  10. Review
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  12. Predictive MRI Biomarkers in MS-A Critical Review.Medicina (Kaunas, Lithuania) · 2022
    Review
  13. Article
  14. Article
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  18. Regional microglial activation in the substantia nigra is linked with fatigue in MS.Neurology(R) neuroimmunology & neuroinflammation · 2020
    Article
  19. Brain MRI Predicts Worsening Multiple Sclerosis Disability over 5 Years in the SUMMIT Study.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Article
  20. Standardized Brain MRI Acquisition Protocols Improve Statistical Power in Multicenter Quantitative Morphometry Studies.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    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.

Renxin ChuDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Shahamat TauhidDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Bonnie I GlanzDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Brian C HealyDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Gloria KimDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Vinit V OommenDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Fariha KhalidDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Mohit NeemaDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.
Rohit BakshiDepartments of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole brain atrophy is a putative outcome measure in monitoring relapsing-remitting multiple sclerosis (RRMS). With the ongoing MRI transformation from 1.5T to 3T, there is an unmet need to calibrate this change. We evaluated brain parenchymal volumes (BPVs) from 1.5T versus 3T in MS and normal controls (NC).

methodsWe studied MS [n = 26, age (mean, range) 43 (21-55), 22 (85%) RRMS, Expanded Disability Status Scale (EDSS) 1.98 (0-6.5), timed 25 foot walk (T25FW) 5.95 (3.2-33.0 seconds)] and NC [n = 9, age 45 (31-53)]. Subjects underwent 1.5T (Phillips) and 3T (GE) 3-dimensional T1-weighted scans to derive normalized BPV from an automated SIENAX pipeline. Neuropsychological testing was according to consensus panel recommendations.

resultsBPV-1.5T was higher than BPV-3T [mean (95% CI) + 45.7 mL (+35.3, +56.1), P < .00001], most likely due to improved tissue-CSF contrast at 3T. BPV-3T showed a larger volume decrease and larger effect size in detecting brain atrophy in MS versus NC [-74.5 mL (-126.5, -22.5), P = .006, d = .92] when compared to BPV-1.5T [-51.3.1 mL (-99.8, -2.8), P = .04, d = .67]. Correlations between BPV-1.5T and EDSS (r = -.43, P = .027) and BPV-3T and EDSS (r = -.49, P = .011) and between BPV-1.5T and T25FW (r = -.46, P = .018) and BPV-3T and T25FW (r = -.56, P = .003) slightly favored 3T. BPV-cognition correlations were significant (P < .05) for 6 of 11 subscales to a similar degree at 1.5T (r range = .44-.58) and 3T (r range = .43-.53).

conclusionsField strength may impact whole brain volume measurements in patients with MS though the differences are not too divergent between 1.5T and 3T.

Indexed as

AdultAtrophyBrainDisability EvaluationFemaleHealthy VolunteersHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisNeuroimagingOrgan SizeProspective StudiesYoung Adult3Tatrophybrain volumecognitive impairmentdisabilityMRIMultiple sclerosis

Identifiers

PMID26118637
PMCPMC4755143

What OpenQuestion holds

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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.