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Prediction Models for the Erector Spinae Muscle Cross-Sectional Area

Published on Jul 1, 2015in Journal of Biomechanical Engineering-transactions of The Asme2.02
· DOI :10.1115/1.4029984
Celal Gungor1
Estimated H-index: 1
(Izmir Kâtip Çelebi University),
Ruoliang Tang1
Estimated H-index: 1
(UWM: University of Wisconsin–Milwaukee)
+ 3 AuthorsGerard A. Davis4
Estimated H-index: 4
(AU: Auburn University)
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Abstract
Accurate and reliable “individualized” low back erector spinae muscle (ESM) data are of importance to estimate its force producing capacity. Knowing the force producing capacity, along with spinal loading, enhances the understanding of low back injury mechanisms. The objective of this study was to build regression models to estimate the ESM cross-sectional area (CSA). Measurements were taken from axial-oblique magnetic resonance imaging (MRI) scans of a large historical population [54 females and 53 males at L3/L4, 50 females and 44 males at L4/L5, and 41 females and 35 males at L5/S1 levels]. Results suggest that an individual's ESM CSA can be accurately estimated based on his/her gender, height, and weight. Results further show that there is no significant difference between the measured and estimated ESM CSAs, and expected absolute error is less than 15%.
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  • Citations (7)
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References0
Newest
Published on Jan 1, 2012in Journal of Biomechanics2.58
Dennis E. Anderson13
Estimated H-index: 13
(Harvard University),
John D'Agostino4
Estimated H-index: 4
(BIDMC: Beth Israel Deaconess Medical Center)
+ 2 AuthorsMary L. Bouxsein78
Estimated H-index: 78
(Harvard University)
Musculoskeletal modeling requires information on muscle parameters such as cross-sectional area (CSA) and moment arms. A variety of previous studies have reported muscle parameters in the trunk based on in vivo imaging, but there remain gaps in the available data as well as limitations in the generalizability of such data. Specifically, available trunk muscle CSA data is very limited for older adults, lacking entirely in the thoracic region. In addition, previous studies have made measurements i...
Published on Mar 18, 2015
Leslie G. Portney12
Estimated H-index: 12
,
Mary P. Watkins2
Estimated H-index: 2
John A. Faulkner56
Estimated H-index: 56
,
Lisa M. Larkin9
Estimated H-index: 9
+ 1 AuthorsSusan V. Brooks37
Estimated H-index: 37
SUMMARY 1. For animals of all ages, during activation of skeletal muscles and the subsequent contraction, the balance between the force developed by the muscle and the external load determines whether the muscle shortens, remains at fixed length (isometric) or is lengthened. With maximum activation, the force developed is least during shortening, intermediate when muscle length is fixed and greatest during lengthening contractions. During lengthening contractions, when force is high, muscles may...
Published on Jan 1, 2006
Hyun Lee4
Estimated H-index: 4
,
Sang Jin Lee1
Estimated H-index: 1
,
Sangho Lee7
Estimated H-index: 7
Purpose: Lumbar degenerative kyphosis (LDK) is a subgroup of the flatback syndrome, which is a condition caused by spinal degeneration. LDK is reported to be the most frequent cause of lumbar spine deformity in the farming districts of the ‘oriental’ countries. We investigated the relationship between the cross-sectional area (CSA) and the moment arm length (MAL) of the erector spinae muscle and the thickness of the psoas major muscle (PT) and the body mass index (BMI) by performing statistical ...
Published on Jan 1, 2003in Journal of Occupational Health1.80
Akihiko Seo8
Estimated H-index: 8
,
Joon-Hee Lee1
Estimated H-index: 1
,
Yukinori Kusaka18
Estimated H-index: 18
To establish more accurate equations for estimating the moment arm length and cross-sectional area of the erector spinae and rectus abdominis muscles, the effects of height, weight and age on those muscles were analyzed by using a high-order polynomial equation. Data on the moment arm length and cross-sectional area at L3/4 were obtained from MRI images of 152 males and 98 females. The statistical model used in this study has any combination of up to third-order independent variables for age, he...
Published on May 1, 2003in Clinical Biomechanics1.98
Michael J. Jorgensen15
Estimated H-index: 15
(WSU: Wichita State University),
William S. Marras59
Estimated H-index: 59
(OSU: Ohio State University),
Purnendu Gupta15
Estimated H-index: 15
(U of C: University of Chicago)
Abstract Objective . Quantification of the maximum anatomical cross-sectional area of the lumbar back muscles as a function of torso flexion angle and development of prediction equations as a function of torso flexion and anthropometric measures. Background . Cross-sectional areas of the lumbar back muscles used as inputs into biomechanical models have traditionally been derived from subjects lying in the neutral supine posture. However, it is known that the cross-sectional area of muscle is alt...
Published on Jan 1, 2001in Clinical Biomechanics1.98
William S. Marras59
Estimated H-index: 59
(OSU: Ohio State University),
Michael J. Jorgensen15
Estimated H-index: 15
(OSU: Ohio State University)
+ 1 AuthorsB. Wiand1
Estimated H-index: 1
(Riverside Methodist Hospital)
Abstract Objective. Develop a gender specific database of trunk muscle cross-sectional areas across multiple levels of the thoracic and lumbar spine and develop prediction equations for the physiological cross-sectional area as a function of gender and anthropometry. Design. This study quantified trunk muscle cross-sectional areas of male and female spine loading muscles. Background. There is a lack of comprehensive data regarding the female spine loading muscle size. Although biomechanical mode...
Published on Apr 1, 1996in Clinical Biomechanics1.98
S Wood1
Estimated H-index: 1
(Queen's University),
David J. Pearsall17
Estimated H-index: 17
(McMaster University)
+ 1 AuthorsJ.G. Reid8
Estimated H-index: 8
(Queen's University)
Abstract Transverse magnetic resonance images at the L 4 –L 5 level of 26 males ranging in body mass index from 19.7 to 39.5 were digitized using a computer video monitor with mouse-mediated digitization software. The digitized musculature included the right and left psoas, rectus, abdominis, quadratus lumborum, oblique, and paraspinal muscle groups. From the digitized profiles, cross-sectional areas, and anteroposterior and mediolateral moments from the vertebral centroid were subsequently calc...
Published on Feb 1, 1996in Spine2.90
David C. Guzik1
Estimated H-index: 1
,
Tony S. Keller32
Estimated H-index: 32
+ 2 AuthorsDan M. Spengler46
Estimated H-index: 46
Study Design. Task-specific and subject-specific lumbar trunk muscle function, muscle geometry, and vertebral density data were collected from 16 men. A biomechanical model was used to determine muscle strength and the compressive forces acting on the lumbar spine. Objectives. To develop an anatomic biomechanical model of the low back that could be used to derive task-specific muscle function parameters and to predict compressive forces acting on the low back. Several model-specific constraints ...
Published on Apr 1, 1994in Medicine and Science in Sports and Exercise4.48
Susan V. Brooks37
Estimated H-index: 37
,
John A. Faulkner56
Estimated H-index: 56
ABSTRACTMaintenance of muscle mass and strength contributes to mobility which impacts on quality of life. Although muscle atrophy, declining strength, and physical frailty are generally accepted as inevitable concomitants of aging, the causes are unknown. Clarification of the mechanisms responsible
Cited By7
Newest
Celal Gungor1
Estimated H-index: 1
(Izmir Kâtip Çelebi University),
Ruoliang Tang2
Estimated H-index: 2
(UWM: University of Wisconsin–Milwaukee)
+ 2 AuthorsSean Gallagher16
Estimated H-index: 16
(AU: Auburn University)
Published on Jul 1, 2019in International Journal of Industrial Ergonomics1.57
Ruoliang Tang2
Estimated H-index: 2
(UWM: University of Wisconsin–Milwaukee),
Ruoliang Tang1
Estimated H-index: 1
(UWM: University of Wisconsin–Milwaukee)
+ 3 AuthorsKenneth Bo Foreman7
Estimated H-index: 7
(UofU: University of Utah)
Abstract Current approaches to obtain lumbar morphometry data usually require expensive medical imaging technology, long processing time, and are often limited by small sample size. This study develops regression models for the cross-sectional areas (CSAs) of the lower lumbar (i.e., from L3/L4 to L5/S1 level) intervertebral discs (IVDs) and vertebral endplates (EPs) using both simple and complex anthropometric variables. CSAs were measured using OsiriX © software, based on 3T magnetic resonance ...
Published on Dec 1, 2018in Journal of Electromyography and Kinesiology1.75
Mina Alizadeh2
Estimated H-index: 2
(OSU: Ohio State University),
Gregory G. Knapik9
Estimated H-index: 9
(OSU: Ohio State University),
William S. Marras59
Estimated H-index: 59
(OSU: Ohio State University)
Abstract The importance of surface-EMG placement for development and interpretation of EMG-assisted biomechanical models is well established. Since MR has become a reliable noninvasive cervical spine musculoskeletal diagnostic tool, this investigation attempted to illustrate the anatomical relationships of individual cervical spine muscles with their paired surface-EMG electrodes. The secondary purpose of this investigation was to provide an MR cross-sectional pictorial and descriptive guideline...
Published on Sep 1, 2018
Ruoliang Tang2
Estimated H-index: 2
(UWM: University of Wisconsin–Milwaukee),
Ming-Lun Lu (NIOSH: National Institute for Occupational Safety and Health)+ 5 AuthorsJay Kapellusch14
Estimated H-index: 14
(UWM: University of Wisconsin–Milwaukee)
Low back pain (LBP) is a common health problem and a major cause of lost productivity in workplaces. Lifting and lowering (LL) activities have traditionally been regarded as risk factor for LBP. In the literature, very little data have been reported describing industrial workers’ exposures to measured job physical demands using comprehensive and quantitative method, such as the revised NIOSH lifting equation (RNLE). This study pooled physical exposure data for the RNLE commonly collected in thre...
Published on Aug 1, 2018in AAOHN Journal
Ruoliang Tang2
Estimated H-index: 2
(UWM: University of Wisconsin–Milwaukee),
Margaret Holland (UWM: University of Wisconsin–Milwaukee)+ 4 AuthorsArun Garg38
Estimated H-index: 38
(UWM: University of Wisconsin–Milwaukee)
Nursing personnel, particularly caregivers who frequently perform manual patient transfer tasks, are at risk for work-related musculoskeletal disorders (WMSDs). The purpose of this study was to perform biomechanical evaluations of bed-to-wheelchair transfer using two low-cost assistive devices: walking belt and gait belt. Twenty-eight college students, serving as caregivers, transferred 14 students, serving as patients. “Caregiver” spinal loading and strength requirements at major joints were me...
Published on Mar 4, 2018in Ergonomics2.18
Peter Le7
Estimated H-index: 7
(OSU: Ohio State University),
Alexander Aurand3
Estimated H-index: 3
(OSU: Ohio State University)
+ 4 AuthorsWilliam S. Marras59
Estimated H-index: 59
(OSU: Ohio State University)
AbstractThe objective of this study was to develop and test an EMG-based coactivation index and compare it to a coactivation index defined by a biologically assisted lumbar spine model to differentiate between tasks. The purpose was to provide a universal approach to assess coactivation of a multi-muscle system when a computational model is not accessible. The EMG-based index developed utilised anthropometric-defined muscle characteristics driven by torso kinematics and EMG. Muscles were classif...
Published on Aug 1, 2016in Clinical Biomechanics1.98
Jaejin Hwang6
Estimated H-index: 6
(OSU: Ohio State University),
Jonathan S. Dufour6
Estimated H-index: 6
(OSU: Ohio State University)
+ 4 AuthorsWilliam S. Marras59
Estimated H-index: 59
(OSU: Ohio State University)
Abstract Background Accurate geometry of the trunk musculature is essential for reliably estimating spinal loads in biomechanical models. Currently, many models employ straight muscle path assumptions that yield far less accurate tissue loads, particularly in extreme postures. Precise muscle moment-arms and physiological cross-sectional areas are important when incorporating curved muscle geometry in biomechanical models. The objective of this study was to develop a predictive model of moment ar...
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