Evidence map›Paper›PMID 42850477›Full record

ArticleAnnals of biomedical engineering2026

Detecting Intervention-Specific Change in Soft Tissue Mobility Aligned with Regional Pain Through Optically Measured Skin Surface Strains.

Anika R Kao, M Terry Loghmani, Gregory J Gerling

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Anika R KaoSystems and Information Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA.
M Terry LoghmaniPhysical Therapy, School of Health and Human Sciences, Indiana University, Indianapolis, Indiana, USA.
Gregory J GerlingSystems and Information Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA. gg7h@virginia.edu.ORCID http://orcid.org/0000-0003-3137-3822

Funding

NeuronS_MATTR Network: Neuronal & Systems Mechanisms of Affective Touch & Therapeutic Tissue Manipulation Research NetworkU24AT011970 · NCCIH · UNIVERSITY OF CALIFORNIA BERKELEY · PI Gregory John Gerling, Ellen A Lumpkin · 2022 to 2026
$3.2M
Force-Based Manipulations Research NetworkU24AT011969 · NCCIH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Chad Cook, William Ray Reed · 2022 to 2026
$2.6M
CRCNS: Computational modeling to predict afferent firing to deep pressure touchR01AT013186 · NCCIH · UNIVERSITY OF VIRGINIA · PI GERLING, GREGORY JOHN · 2024 to 2025
$607k
Developing A Quantitative, Multiscale Imaging Approach to Identify Peripheral Mechanisms of Noxious and Innocuous Force Encoding in Mouse ModelsR21AT011980 · NCCIH · UNIVERSITY OF VIRGINIA · PI GERLING, GREGORY JOHN, LUMPKIN, ELLEN A · 2022 to 2023
$433k
NIH HHS R01AT013186NIH HHS R21AT011980NIH HHS U24AT011969NIH HHS U24AT011970
6 · The paper itself

Abstract

purposeSoft tissue manipulation (STM) is a widely used massage-based intervention for myofascial pain, yet its effects on soft tissue mobility are primarily assessed through subjective clinical observations. Mechanical changes underlying symptom relief therefore remain unclear. No objective gold standard exists; current methods either measure stiffness in small regions, missing lateral mobility between fascial layers, or rely on clinical palpation. Optical measurement of tissue mobility from the skin surface offers an objective approach compatible with clinical practice.

methodsDigital image correlation captured skin surface deformation during hands-on assessment of the cervicothoracic region. Nineteen participants underwent a standardized STM protocol. Tissue mobility was measured immediately before and after intervention, considering tissue pull direction (superior vs. inferior) and bilateral anatomy (left vs. right). Eleven strain-based biomarkers evaluated tissue glide and deformation.

resultsSeveral biomarkers changed significantly following intervention, with maximum pull increasing 3.4 mm. STM produced tissue mobility changes in nearly all treated participants, with 88% improving on at least one body side. Among participants with baseline bilateral pain asymmetries, 90% showed greater mobility gains on their more painful side. Bilateral mobility asymmetries were observed in 53% of participants, eight of whom reported pain asymmetries; in all cases, the less mobile side corresponded to the more painful side.

conclusionOptically derived tissue glide and deformation measures can objectively detect soft tissue mobility changes immediately following STM. Mobility gains align with self-reported pain, supporting the clinical relevance of strain-based biomarkers and their potential to complement clinical assessment of myofascial restriction and therapeutic response.

Indexed as

Digital image correlationManual therapyMassageMyofascial tissueSoft tissue manipulationTissue mechanics

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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.