Mapping Tissue Properties in Trapezius with Ultrasound Shear Wave Elastography: A Pilot Study
Notice bibliographique
Résumé
Ultrasound shear wave elastography (SWE) is a relatively new technology in the field of sonography. Even more so, research into musculoskeletal applications of SWE is in its infancy. Despite challenges concerning the anisotropic nature of muscle tissue, the literature suggests that SWE is a promising medium with which to examine patterns of tissue properties in morphometrically complex muscles, like trapezius. Tissue properties can provide valuable insights into muscle function and dysfunction. In our laboratory, we have characterized and quantified the comprehensive architecture of the cadaveric trapezius at the fascicular level throughout the muscle volume. These 3D anatomic data are essential for improving current B‐mode ultrasound protocols and making necessary modifications for SWE compatibility. The primary aim of this study was to test a novel SWE‐adapted ultrasound protocol for trapezius—targeting regions of contractile and connective tissues—and establish baseline patterns of tissue properties throughout the muscle. Twenty healthy adults (10F, 10M) with no history of back or neck injury, surgery, or chronic pain participated in the pilot study. We performed all imaging using the Siemens ACUSON ™ S3000 ultrasound system, equipped with Virtual Touch ™ IQ for SWE, and a 4–9 MHz linear array transducer (9L4, Siemens Healthcare). B‐mode and SWE images were captured in both seated and prone positions from each functional partition of trapezius: descending, transverse, and ascending. We collected shear wave speed (SWS) values from regions of interest corresponding to contractile and connective tissues on each elastogram and co‐registered them with 3D models of trapezius rendered from cadaveric data. SWS data will also be analysed with respect to participant sex, age, height, weight, and hand dominance. Preliminary results show marked differences in SWS between regions of contractile and connective tissues in trapezius, consistent with the structural patterns observed during cadaveric dissection and modeling. Of particular interest were areas in the transverse and ascending partitions with extensive regions of musculoaponeurotic junction: we observed a gradual increase in SWS of up to 200% between contractile tissue and connective tissue across the musculoaponeurotic junction. Tissue properties in the descending partition of trapezius were challenging to characterize due to substantial changes in fascicle direction, limited muscle thickness, and proximity to underlying bone. To the best of our knowledge, this study is the first to investigate patterns of soft tissue stiffness in the healthy adult trapezius, including both contractile and connective tissues. These data, in combination with the novel SWS‐adapted ultrasound protocol, offer a strong foundation on which to conduct future studies of individuals with musculoskeletal disorder in trapezius. Support or Funding Information Supported by a Vanier Canada Graduate Scholarship and a Michael Smith Foreign Study Supplement from the Canadian Institutes of Health Research (CIHR).
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».