Evidence map›Paper›PMID 39143409›Full record

ReviewInsights into imaging2024

Ultrasound elastography of back muscle biomechanical properties: a systematic review and meta-analysis of current methods.

Mercedes David, Karine Devantéry, Bénédicte Nauche, Miguel Chagnon, Mark Keezer, Nathaly Gaudreault, Nathalie J Bureau, Guy Cloutier

Abstract readReview
In one paragraph

Review in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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.

Mercedes DavidLaboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, QC, H2L 2W5, Canada.
Karine DevantéryUniversity of Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada.
Bénédicte NaucheUniversity of Montreal Hospital, Montreal, QC, H3X 0C1, Canada.
Miguel ChagnonDepartment of Mathematics and Statistics, University of Montreal, Montreal, QC, H2C 3J7, Canada.
Mark KeezerUniversity of Montreal Hospital, Montreal, QC, H3X 0C1, Canada.
Nathaly GaudreaultUniversity of Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada.
Nathalie J BureauUniversity of Montreal Hospital, Montreal, QC, H3X 0C1, Canada.
Guy CloutierLaboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, QC, H2L 2W5, Canada. guy.cloutier@umontreal.ca.ORCID http://orcid.org/0000-0002-4957-4844

Funding

Fonds Québécois de la Recherche sur la Nature et les Technologies #302254
6 · The paper itself

Abstract

objectivesTo report the current elastography methods used to quantify back muscles' biomechanical characteristics in patients with musculoskeletal disorders (MSKd) and inform on their reliability, validity, and responsiveness.

methodsMEDLINE, Embase, CINAHL, Cochrane library and grey literature were consulted. Predefined criteria allowed for study selection and data extraction. The quality of evidence was rated using the COSMIN tool. Data were meta-analyzed in terms of pooled intraclass correlation coefficient (pICC) for reliability and pooled standardized mean difference (pSMD) for validity and responsiveness. Heterogeneity was assessed.

resultsSeventy-nine studies were included in the meta-analysis (total number of participants N = 3178). Three elastography methods were identified: strain imaging (SI; number of cohorts M = 26), shear wave imaging (SWI; M = 50), and vibration sonoelastography (VSE; M = 3). Strain imaging and SWI studies reported good reliability measurement properties (pICC > 0.70) and a medium pSMD (0.58 for SI and 0.60 for SWI; p ≤ 0.020) in discriminating MSKd from controls' condition (validity). Strain imaging studies reported a medium pSMD (0.64; p = 0.005) in detecting within-group changes over time, whereas SWI pSMD was very high (1.24; p = 0.005). Only SWI reported significant but small pSMD (0.30; p = 0.003) in detecting between-group changes over time. The small number of VSE studies could not be meta-analyzed. Heterogeneity was high (I-squared > 90%; p < 0.001).

conclusionsElastography presents good reliability results and a medium pSMD in discriminating MSKd from control conditions. Responsiveness data suggest detectable changes within groups over time using SI and SWI, calling for long-term longitudinal studies. Assessing changes between groups over time using elastography still needs to be proven. Highly significant heterogeneity limits meta-analytic results. CRITICAL RELEVANCE STATEMENT: While still in its early-stage exploration phase, musculoskeletal ultrasound elastography may reliably quantify back muscles' biomechanics in asymptomatic individuals, moderately discriminate back musculoskeletal disorders and detect biomechanical changes over time in these conditions, calling for long-term longitudinal studies. KEY POINTS: Ultrasound elastography is reviewed for back pain and related musculoskeletal disorder assessments. Growing literature supports good reproducibility, some validity and responsiveness. Back muscle elastography considers assumptions calling for standardized protocols.

Indexed as

Back musclesBiomechanicsElastographyMusculoskeletal conditionsUltrasound

Identifiers

PMID39143409
PMCPMC11324641

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.