Evidence map›Paper›PMID 32613159›Full record

ArticleJOR spine2020

Multiparametric MRI characterization of level dependent differences in lumbar muscle size, quality, and microstructure.

David B Berry, Ana E Rodriguez-Soto, Erin K Englund, Bahar Shahidi, Callan Parra, Lawrence R Frank, Karen R Kelly, Samuel R Ward

Abstract read
In one paragraph

Article in JOR spine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

David B BerryDepartment of Bioengineering University of California San Diego California.ORCID https://orcid.org/0000-0001-8275-8322
Ana E Rodriguez-SotoDepartment of Bioengineering University of California San Diego California.
Erin K EnglundDepartment of Orthopaedic Surgery University of California San Diego California.
Bahar ShahidiDepartment of Orthopaedic Surgery University of California San Diego California.ORCID https://orcid.org/0000-0002-7532-6940
Callan ParraDepartment of Orthopaedic Surgery University of California San Diego California.
Lawrence R FrankDepartment of Radiology University of California San Diego California.
Karen R KellyDepartment of Exercise and Nutritional Sciences San Diego State University San Diego California.
Samuel R WardDepartment of Bioengineering University of California San Diego California.ORCID https://orcid.org/0000-0002-4470-155X

Funding

Non Invasive Measurements of Muscle Microstructures Assessed by Diffusion Tensor ImagingR01AR070830 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Barnes Berry, LAWRENCE R FRANK · 2017 to 2026
$4.0M
NIAMS NIH HHS R01 AR070830
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is a diagnostic tool that can be used to noninvasively assess lumbar muscle size and fatty infiltration, important biomarkers of muscle health. Diffusion tensor imaging (DTI) is an MRI technique that is sensitive to muscle microstructural features such as fiber size (an important biomarker of muscle health), which is typically only assessed using invasive biopsy techniques. The goal of this study was to establish normative values of level-dependent lumbar muscle size, fat signal fraction, and restricted diffusion assessed by MRI in a highly active population. Forty-two active-duty Marines were imaged using a (a) high-resolution anatomical, (b) fat-water separation, and (c) DT-MRI scan. The multifidus and erector spinae muscles were compared at each level using two-way repeated measures ANOVA. Secondary analysis included Three dimensional (3D) reconstructions to qualitatively assess lumbar muscle size, fatty infiltration, and fiber orientation via tractography. The erector spinae was found to be larger than the multifidus above L5, with lower fat signal fraction above L3, and a less restricted diffusion profile than the multifidus above L4, with this pattern reversed in the lower lumbar spine. 3D reconstructions demonstrated accumulations of epimuscular fat in the anterior and posterior regions of the lumbar musculature, with minimal intramuscular fatty infiltration. Tractography images demonstrated different orientations of adjacent lumbar musculature, which cannot be visualized with standard MRI pulse sequences. The level dependent differences found in this study provide a normative baseline, for which to better understand whole muscle and microstructural changes associated with aging, low back pain, and pathology.

Indexed as

diffusion tensor imagingfatty infiltrationlumbar spineMRIskeletal muscle

Identifiers

PMID32613159
PMCPMC7323468

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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.