Preliminary Data of Neck Muscle Morphology With Head-Supported Mass in Male and Female Volunteers. Mil Med 2023 Nov 08;188(Suppl 6):385-392
Date
11/10/2023Pubmed ID
37948211DOI
10.1093/milmed/usad165Scopus ID
2-s2.0-85176389139 (requires institutional sign-in at Scopus site)Abstract
INTRODUCTION: This study quantified parameters related to muscle morphology using a group of upright seated female and male volunteers with a head-supported mass.
MATERIALS AND METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
Author List
Yoganandan N, Baisden J, Varghese V, Vedantam A, Stemper B, Banerjee A, Jebaseelan DAuthors
Anjishnu Banerjee PhD Associate Professor in the Data Science Institute department at Medical College of WisconsinBrian Stemper PhD Professor in the Biomedical Engineering department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
Cervical VertebraeFemale
Humans
Magnetic Resonance Imaging
Male
Muscle, Skeletal
Neck Muscles
Preliminary Data
Volunteers
