Preliminary Data of Neck Muscle Morphology With Head-Supported Mass in Male and Female Volunteers.


Journal

Military medicine
ISSN: 1930-613X
Titre abrégé: Mil Med
Pays: England
ID NLM: 2984771R

Informations de publication

Date de publication:
08 11 2023
Historique:
received: 12 12 2022
revised: 29 03 2023
accepted: 02 05 2023
medline: 13 11 2023
pubmed: 10 11 2023
entrez: 10 11 2023
Statut: ppublish

Résumé

This study quantified parameters related to muscle morphology using a group of upright seated female and male volunteers with a head-supported mass. Upright magnetic resonance images (MRIs) were obtained from 23 healthy volunteers after approval from the U.S. DoD. They were asymptomatic for neck pain, with no history of injury. The volunteers were scanned using an upright MRI scanner with a head-supported mass (army combat helmet). T1 and T2 sagittal and axial images were obtained. Measurements were performed by an engineer and a neurosurgeon. The cross-sectional areas of the sternocleidomastoid and multifidus muscles were measured at the inferior endplate in the sub-axial column, and the centroid angle and centroid radius were quantified. Differences in the morphology by gender and spinal level were analyzed using a repeated measures analysis of variance model, adjusted for multiple corrections. For females and males, the cross-sectional area of the sternocleidomastoid muscle ranged from 2.3 to 3.6 cm2 and from 3.4 to 5.4 cm2, the centroid radius ranged from 4.1 to 5.1 cm and from 4.7 to 5.7 cm, and the centroid angle ranged from 75° to 131° and from 4.8° to 131.2°, respectively. For the multifidus muscle, the area ranged from 1.7 to 3.9 cm2 and from 2.4 to 4.2 cm2, the radius ranged from 3.1 to 3.4 cm and from 3.3 to 3.8 cm, the angle ranged from 15° to 24.4° and 16.2° to 24.4°, respectively. Results from all levels for both muscles and male and female spines are given. The cross-sectional area, angulation, and centroid radii data for flexor and extensor muscles of the cervical spine serve as a dataset that may be used to better define morphologies in computational models and obtain segmental motions and loads under external mechanical forces. These data can be used in computational models for injury prevention, mitigation, and readiness.

Identifiants

pubmed: 37948211
pii: 7388188
doi: 10.1093/milmed/usad165
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

385-392

Informations de copyright

Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States 2023. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Auteurs

Narayan Yoganandan (N)

Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Jamie Baisden (J)

Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Vicky Varghese (V)

Department of Orthopedics, NorthShore University Health System, Skokie Hospital, Skokie, IL 60076, USA.

Aditya Vedantam (A)

Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Brian Stemper (B)

Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Anjishnu Banerjee (A)

Department of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Davidson Jebaseelan (D)

School of Mechanical Engineering, Vellore Institute of Technology, Chennai 600036, India.

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