ArticleScientific reports2025
Development and validation of a semi-automated algorithm to analyze shear wave elastography clips in muscle tissue.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Masseter muscle stiffness in bruxism and myofascial pain-related temporomandibular disorders: a systematic review and meta-analysis of quantitative ultrasound elastography studies.Oral radiology · 2026Pooled it
- A Dual-Transducer Approach for High-Resolution and High-Precision Shear Wave Elasticity Imaging.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ultrasound shear wave elastography (SWE) is broadly used to quantify muscle stiffness. Currently, most stiffness measures are retrieved from manually placed small measurement zones, which is an operator-dependent and laborious procedure of questionable reliability. Automated time-series measurements over the full visible muscle are expected to improve measurement validity, robustness, and efficiency in larger studies. This study aimed to develop and validate a semi-automated algorithm for analyzing SWE clips of muscle tissue using the single-image, manufacturer-provided manual measurements in every image of the corresponding clips as reference. SWE clips of the relaxed and activated upper trapezius muscle of 52 healthy participants were analyzed manually and with the algorithm for the muscle's Young's modulus (kPa) and shear wave velocity (SWV). Results demonstrated excellent correlation between manual and algorithm measurements, Spearman's ρ > 0.99, p < 0.001. Bland-Altman analyses indicated good method agreement with proportional biases of + 0.747 kPa and - 0.068 m/s for Young's modulus and SWV, respectively, and widths of the limits of agreement of 8.653 kPa and 0.500 m/s, respectively. The proportional bias is within the minimal detectable change and therefore clinically negligible. These results support the algorithm as a tool enabling valid SWE time-series measurements in muscle tissue and an improved workflow.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.