Evidence map›Paper›PMID 28874119›Full record

ArticleBMC neurology2017

Automated segmentation of cerebral deep gray matter from MRI scans: effect of field strength on sensitivity and reliability.

Renxin Chu, Shelley Hurwitz, Shahamat Tauhid, Rohit Bakshi

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  12. Predictive MRI Biomarkers in MS-A Critical Review.Medicina (Kaunas, Lithuania) · 2022
    Review
  13. Article
  14. Article
  15. MS optic neuritis-induced long-term structural changes within the visual pathway.Neurology(R) neuroimmunology & neuroinflammation · 2020
    Article
  16. Article
  17. Dual-Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018
    Article
  18. 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 at 1 institution in 1 country.

Renxin ChuLaboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox 9002L, Boston, MA, 02115, USA.
Shelley HurwitzDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Shahamat TauhidLaboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox 9002L, Boston, MA, 02115, USA.
Rohit BakshiLaboratory for Neuroimaging Research, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Mailbox 9002L, Boston, MA, 02115, USA. rbakshi@post.harvard.edu.ORCID http://orcid.org/0000-0001-8601-5534
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cerebral subcortical deep gray matter nuclei (DGM) are a common, early, and clinically-relevant site of atrophy in multiple sclerosis (MS). Robust and reliable DGM segmentation could prove useful to evaluate putative neuroprotective MS therapies. The objective of the study was to compare the sensitivity and reliability of DGM volumes obtained from 1.5T vs. 3T MRI.

methodsFourteen patients with MS [age (mean, range) 50.2 (32.0-60.8) years, disease duration 18.4 (8.2-35.5) years, Expanded Disability Status Scale score 3.1 (0-6), median 3.0] and 15 normal controls (NC) underwent brain 3D T1-weighted paired scan-rescans at 1.5T and 3T. DGM (caudate, thalamus, globus pallidus, and putamen) segmentation was obtained by the fully automated FSL-FIRST pipeline. Both raw and normalized volumes were derived.

resultsDGM volumes were generally higher at 3T vs. 1.5T in both groups. For raw volumes, 3T showed slightly better sensitivity (thalamus: p = 0.02; caudate: p = 0.10; putamen: p = 0.02; globus pallidus: p = 0.0004; total DGM: p = 0.01) than 1.5T (thalamus: p = 0.05; caudate: p = 0.09; putamen: p = 0.03; globus pallidus: p = 0.0006; total DGM: p = 0.02) for detecting DGM atrophy in MS vs. NC. For normalized volumes, 3T but not 1.5T detected atrophy in the globus pallidus in the MS group. Across all subjects, scan-rescan reliability was generally very high for both platforms, showing slightly higher reliability for some DGM volumes at 3T. Raw volumes showed higher reliability than normalized volumes. Raw DGM volume showed higher reliability than the individual structures.

conclusionsThese results suggest somewhat higher sensitivity and reliability of DGM volumes obtained from 3T vs. 1.5T MRI. Further studies should assess the role of this 3T pipeline in tracking potential MS neurotherapeutic effects.

Indexed as

AdultAtrophyAutomationBrainCerebral CortexFemaleGlobus PallidusGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisNeuroimagingPutamenReproducibility of Results3T MRIAtrophyBrain segmentationMultiple sclerosisSubcortical deep gray matter

Identifiers

PMID28874119
PMCPMC5584325
OpenAlexW2751236653

What OpenQuestion holds

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LicenceCC BY
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.