ArticleFrontiers in rehabilitation sciences2026
Negative binomial modeling of musculoskeletal ultrasound grayscale histograms: a three-device comparison and harmonization study.
Article in Frontiers in rehabilitation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Introduction: Quantitative musculoskeletal ultrasound enables objective assessment of muscle morphology and clinically viable estimates of tissue composition. This approach to accessible biomedical imaging shows promise for aiding practitioners in the assessment of muscle health. However, inter-device variability in grayscale image interpretation hinders the clinical utility of quantitative ultrasound. We developed conversion models to harmonize grayscale histograms of muscle tissue across three ultrasound devices. Methods: A total of 1,368 longitudinal ultrasound images were acquired from six muscle sites in older adult men ( Results: Conversion models achieved high agreement for µ (Spearman Conclusion: We have demonstrated the feasibility of developing robust conversion models to harmonize grayscale histograms across different ultrasound devices, improving the standardization and clinical utility of quantitative musculoskeletal ultrasound. This post-processing approach provides a viable pathway for harmonizing quantitative ultrasound data across devices without raw radiofrequency access.
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.