Evidence map›Paper›PMID 39240345›Full record

ArticleJournal of neurology2024

The role of 7 T MRI to assess atrophy of the subcortical deep gray matter in relapsing-remitting multiple sclerosis.

Alexis M Callen, Jonathan Zurawski, Renxin Chu, Yanmei Tie, Shahamat Tauhid, Molly Quattrucci, Brian C Healy, Rohit Bakshi

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Alexis M CallenDepartment of Neurology, Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox, 9002L, Boston, MA, 02115-6128, USA.
Jonathan ZurawskiDepartment of Neurology, Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox, 9002L, Boston, MA, 02115-6128, USA.
Renxin ChuDepartment of Neurology, Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox, 9002L, Boston, MA, 02115-6128, USA.
Yanmei TieDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Shahamat TauhidDepartment of Neurology, Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox, 9002L, Boston, MA, 02115-6128, USA.
Molly QuattrucciDepartment of Neurology, Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox, 9002L, Boston, MA, 02115-6128, USA.
Brian C HealyDepartment of Neurology, Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox, 9002L, Boston, MA, 02115-6128, USA.
Rohit BakshiDepartment of Neurology, Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox, 9002L, Boston, MA, 02115-6128, USA. rbakshi@post.harvard.edu.ORCID http://orcid.org/0000-0001-8601-5534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep gray matter (DGM) atrophy and lesions are found in multiple sclerosis (MS).

objectiveTo optimize automated segmentation for 7 T DGM volumetrics and assess sensitivity to atrophy and relationship to DGM lesions and disability in relapsing-remitting (RR) MS.

methods30 RRMS subjects [mean age 44.0 years, median Expanded Disability Status Scale (EDSS) score 2] and 14 healthy controls underwent 7 T MRI with 3D magnetization-prepared 2 rapid gradient-echoes (MP2RAGE) and fluid-attenuated inversion recovery. Customizing an automated pipeline to assess DGM structure volumes required pre-processing combining two MP2RAGE inversion times and uniform T1 images, and noise-suppressed reconstruction. DGM volumes were normalized. Brain DGM lesions and white matter T2 lesion volume (T2LV) were expert-quantified. Spearman correlations and Wilcoxon rank-sum tests were assessed.

resultsDGM lesions were found in 77% (n = 23) of MS subjects and no controls, with thalamic lesions most prevalent (73%). An average of 3.6 DGM lesions was found per person with MS. Total DGM volumes were lower in MS vs. controls (p = 0.034), varying by region, most pronounced in the caudate (p = 0.008). DGM volumes inversely correlated with EDSS (total DGM: r = - 0.45, p = 0.014; globus pallidus: r =  - 0.42, p = 0.023; putamen: r = - 0.44, p = 0.016; caudate: r = - 0.37, p = 0.047) and T2LV (total DGM: r = - 0.53, p = 0.003; putamen: r = - 0.40, p = 0.030; thalamus: r = - 0.63, p < 0.001). DGM atrophy was most closely linked to disability among all MRI measures. Thalamic lesion volume correlated inversely with thalamic volume (r = - 0.38, p = 0.045).

conclusion7 T MRI shows a link between DGM atrophy and both white matter lesions and physical disability in RRMS. Thalamic lesions are associated with thalamic atrophy.

Indexed as

AtrophyGray MatterMagnetic Resonance ImagingMultiple Sclerosis, Relapsing-RemittingAdultBrainDisability EvaluationFemaleHumansImage Processing, Computer-AssistedMaleMiddle Aged7 TAtrophyDisabilityMRIMultiple sclerosisThalamus

Identifiers

PMID39240345

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.