Literature DB >> 26335668

New Predictive Index for Lumbar Paraspinal Muscle Degeneration Associated With Aging.

Kazushi Takayama1, Teruo Kita, Hiroaki Nakamura, Fumiaki Kanematsu, Toshiya Yasunami, Hideki Sakanaka, Yoshiki Yamano.   

Abstract

STUDY
DESIGN: A cross-sectional imaging study of paraspinal muscle degeneration using a new index for easy evaluation.
OBJECTIVE: To examine the natural progression of age-related changes in the lumbar paraspinal muscles and to verify the validity of our new index for evaluating paraspinal muscle degenerationSUMMARY OF BACKGROUND DATA.: Measurement of paraspinal muscle morphology is an effective method for reflecting atrophy and fat infiltration, but it is complicated to perform. Therefore, we focused on the groove between lumbar paraspinal muscles as a simple index for evaluating paraspinal muscle degeneration.
METHODS: A total of 160 subjects aged 10 to 88 years (10 male and 10 female subjects in each decade) with lumbar lordosis of more than 20° were included. Body mass index (BMI) was calculated. Sagittal T2-weighted magnetic resonance imaging (MRI) was used to measure lumbar lordosis, while axial T2-weighted MRI was used to measure cross-sectional area (CSA) and fat infiltration rate of the paraspinal muscles at the intervertebral disc level from L1 to L5. To quantify the depth of the groove between the paraspinal muscles, our own image index (lumbar indentation value (LIV): equal to the length of the bulge of the muscle to the attachment of the spinous process), also was measured. We then determined the correlation between LIV and paraspinal muscle degeneration.
RESULTS: There were no significant differences in BMI and lumbar lordosis between age groups. CSA of the paraspinal muscles tended to decrease with age, and fat infiltration rate increased with age. There was a negative correlation between CSA and fat infiltration rate at all levels (r = -0.474 to -0.634). LIV decreased significantly with age and strongly correlated with CSA at all levels (r = 0.709-0.789).
CONCLUSION: Our new index is a simple and effective parameter for evaluating paraspinal muscle degeneration associated with aging. LEVEL OF EVIDENCE: 4.

Entities:  

Mesh:

Year:  2016        PMID: 26335668     DOI: 10.1097/BRS.0000000000001154

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  31 in total

1.  Fat quantification of multifidus muscle using T2-weighted Dixon: which measurement methods are best suited for revealing the relationship between fat infiltration and herniated nucleus pulposus.

Authors:  Seul Ki Lee; Joon-Yong Jung; Yeo Ryang Kang; Jin-Hee Jung; Jae Jun Yang
Journal:  Skeletal Radiol       Date:  2019-07-24       Impact factor: 2.199

2.  Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles.

Authors:  Yiming Xiao; Maryse Fortin; Michele C Battié; Hassan Rivaz
Journal:  Eur Spine J       Date:  2018-07-26       Impact factor: 3.134

3.  Estimation of spinopelvic muscles' volumes in young asymptomatic subjects: a quantitative analysis.

Authors:  Celia Amabile; Bertrand Moal; Oussama Arous Chtara; Helene Pillet; Jose G Raya; Antoine Iannessi; Wafa Skalli; Virginie Lafage; Nicolas Bronsard
Journal:  Surg Radiol Anat       Date:  2016-09-16       Impact factor: 1.246

4.  The evaluation of lumbar paraspinal muscle quantity and quality using the Goutallier classification and lumbar indentation value.

Authors:  Koji Tamai; Jessica Chen; Michael Stone; Anush Arakelyan; Permsak Paholpak; Hiroaki Nakamura; Zorica Buser; Jeffrey C Wang
Journal:  Eur Spine J       Date:  2018-02-02       Impact factor: 3.134

5.  Lumbar muscle volume in postmenopausal women with osteoporotic compression fractures: quantitative measurement using MRI.

Authors:  Chi Wen C Huang; Ing-Jy Tseng; Shao-Wei Yang; Yen-Kuang Lin; Wing P Chan
Journal:  Eur Radiol       Date:  2019-03-07       Impact factor: 5.315

6.  New MR-based measures for the evaluation of age-related lumbar paraspinal muscle degeneration.

Authors:  Xiaojian Hu; Zhiyun Feng; Haotian Shen; Wenming Zhang; Jiawei Huang; Qiangqiang Zheng; Yue Wang
Journal:  Eur Spine J       Date:  2021-03-19       Impact factor: 3.134

7.  The association of back muscle strength and sarcopenia-related parameters in the patients with spinal disorders.

Authors:  Hiromitsu Toyoda; Masatoshi Hoshino; Shoichiro Ohyama; Hidetomi Terai; Akinobu Suzuki; Kentaro Yamada; Shinji Takahashi; Kazunori Hayashi; Koji Tamai; Yusuke Hori; Hiroaki Nakamura
Journal:  Eur Spine J       Date:  2018-12-12       Impact factor: 3.134

8.  Age-related fatty infiltration of lumbar paraspinal muscles: a normative reference database study in 516 Chinese females.

Authors:  Xianjing Peng; Xintong Li; Zhengyang Xu; Ling Wang; Wei Cai; Shuai Yang; Weihua Liao; Xiaoguang Cheng
Journal:  Quant Imaging Med Surg       Date:  2020-08

9.  Psoas muscle size as a magnetic resonance imaging biomarker of progression of pancreatitis.

Authors:  Andre E Modesto; Charlotte E Stuart; Jaelim Cho; Juyeon Ko; Ruma G Singh; Maxim S Petrov
Journal:  Eur Radiol       Date:  2020-02-10       Impact factor: 5.315

10.  Combined exercise and nutrition intervention for spinal sarcopenia: A pilot study protocol.

Authors:  Sang Yoon Lee; Jinhee Park; Dong Hyun Kim; Jae-Young Lim
Journal:  Medicine (Baltimore)       Date:  2021-06-18       Impact factor: 1.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.