Literature DB >> 1490043

CT-based geometric data of human spine musculature. Part I. Japanese patients with chronic low back pain.

J S Han1, J Y Ahn, V K Goel, R Takeuchi, D McGowan.   

Abstract

Mechanical factors are considered to play a dominant role in low back problems. Various spinal structures, including muscles, act in unison to resist the external load, including the body segments. An estimation of the forces in these requires a knowledge of the orientation, location, and area of cross-section of the muscles to complete the information for the formulation of a truly three-dimensional biomechanical mathematical model of the spine in the lumbar region. Computed tomography scans of 10 Japanese patients suffering from chronic low back pain were obtained to determine the geometric data of the abdominal and back muscles from the 12th thoracic vertebral to the first sacral vertebral level. The mean age +/- 1 SD of the group was 40.1 +/- 14.12 years (range, 24-70), 573 +/- 88.5 N of body weight (range, 441-705), and 1.63 +/- 0.09 m tall (range, 1.44-1.74). The geometric parameters quantified were the line of action, and the centroid and physiologic area of cross-section of each muscle as a function of the spinal level. The effective/physiological area of cross-section of each muscle changed along the length of the spine because of the change in the line of action of the muscle. The centroidal approach adopted for quantifying the lines of action of various muscles was found unsuitable for the abdominal muscles, excluding the rectus abdominis, because of the associated anatomic complexities. Alternatives are proposed to complete the data base. The application of the data for the formulation of a truly three-dimensional biomechanical model of the spine at the L3-4 level is briefly presented. Application to nonlinear optimization-based force predictions in various spinal structures is discussed.

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Year:  1992        PMID: 1490043     DOI: 10.1097/00002517-199212000-00010

Source DB:  PubMed          Journal:  J Spinal Disord        ISSN: 0895-0385


  7 in total

1.  Effects of three different training modalities on the cross sectional area of the lumbar multifidus muscle in patients with chronic low back pain.

Authors:  L A Danneels; G G Vanderstraeten; D C Cambier; E E Witvrouw; J Bourgois; W Dankaerts; H J De Cuyper
Journal:  Br J Sports Med       Date:  2001-06       Impact factor: 13.800

2.  Spinal muscle forces, internal loads and stability in standing under various postures and loads--application of kinematics-based algorithm.

Authors:  A Shirazi-Adl; M El-Rich; D G Pop; M Parnianpour
Journal:  Eur Spine J       Date:  2004-09-25       Impact factor: 3.134

3.  Loads in the spinal structures during lifting: development of a three-dimensional comprehensive biomechanical model.

Authors:  J S Han; V K Goel; J Y Ahn; J Winterbottom; D McGowan; J Weinstein; T Cook
Journal:  Eur Spine J       Date:  1995       Impact factor: 3.134

4.  Intramuscular architecture of the autochthonous back muscles in humans.

Authors:  Heiko Stark; Rosemarie Fröber; Nadja Schilling
Journal:  J Anat       Date:  2012-11-04       Impact factor: 2.610

5.  Paraspinal muscles density: a marker for degenerative lumbar spinal stenosis?

Authors:  Janan Abbas; Viviane Slon; Hila May; Nathan Peled; Israel Hershkovitz; Kamal Hamoud
Journal:  BMC Musculoskelet Disord       Date:  2016-10-10       Impact factor: 2.362

Review 6.  Inconsistent descriptions of lumbar multifidus morphology: A scoping review.

Authors:  Anke Hofste; Remko Soer; Hermie J Hermens; Heiko Wagner; Frits G J Oosterveld; André P Wolff; Gerbrand J Groen
Journal:  BMC Musculoskelet Disord       Date:  2020-05-19       Impact factor: 2.362

7.  Sarcopenia and Back Muscle Degeneration as Risk Factors for Back Pain: A Comparative Study.

Authors:  Whoan Jeang Kim; Kap Jung Kim; Dae Geon Song; Jong Shin Lee; Kun Young Park; Jae Won Lee; Shann Haw Chang; Won Sik Choy
Journal:  Asian Spine J       Date:  2020-01-08
  7 in total

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