Literature DB >> 26341577

Bone morphology of the femur and tibia captured by statistical shape modelling predicts rapid bone loss in acute spinal cord injury patients.

Delaram Varzi1, Sylvie A F Coupaud2, Mariel Purcell3, David B Allan3, Jennifer S Gregory1, Rebecca J Barr4.   

Abstract

After spinal cord injury (SCI), bone loss in the paralysed limbs progresses at variable rates. Decreases in bone mineral density (BMD) in the first year range from 1% (slow) to 40% (rapid). In chronic SCI, fragility fractures commonly occur around the knee, with significant associated morbidity. Osteoporosis treatments await full evaluation in SCI, but should be initiated early and targeted towards patients exhibiting rapid bone loss. The potential to predict rapid bone loss from a single bone scan within weeks of a SCI was investigated using statistical shape modelling (SSM) of bone morphology, hypothesis: baseline bone shape predicts bone loss at 12-months post-injury at fracture-prone sites. In this retrospective cohort study 25 SCI patients (median age, 33 years) were scanned at the distal femur and proximal tibia using peripheral Quantitative Computed Tomography at <5 weeks (baseline), 4, 8 and 12 months post-injury. An SSM was made for each bone. Links between the baseline shape-modes and 12-month total and trabecular BMD loss were analysed using multiple linear regression. One mode from each SSM significantly predicted bone loss (age-adjusted P<0.05 R(2)=0.37-0.61) at baseline. An elongated intercondylar femoral notch (femur mode 4, +1 SD from the mean) was associated with 8.2% additional loss of femoral trabecular BMD at 12-months. A more concave posterior tibial fossa (tibia mode 3, +1 SD) was associated with 9.4% additional 12-month tibial trabecular BMD loss. Baseline bone shape determined from a single bone scan is a valid imaging biomarker for the prediction of 12-month bone loss in SCI patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Femur; Osteoporosis; Spinal cord injuries; Statistical shape model; Tibia; pQCT

Mesh:

Year:  2015        PMID: 26341577     DOI: 10.1016/j.bone.2015.08.026

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  8 in total

1.  Effects of drugs on bone metabolism in a cohort of individuals with traumatic spinal cord injury.

Authors:  Christina Kokorelis; Marlis Gonzalez-Fernandez; Marjorie Morgan; Cristina Sadowsky
Journal:  Spinal Cord Ser Cases       Date:  2019-01-16

Review 2.  Measuring muscle and bone in individuals with neurologic impairment; lessons learned about participant selection and pQCT scan acquisition and analysis.

Authors:  L M Giangregorio; J C Gibbs; B C Craven
Journal:  Osteoporos Int       Date:  2016-03-30       Impact factor: 4.507

3.  Treatment with hydrogen sulfide attenuates sublesional skeletal deterioration following motor complete spinal cord injury in rats.

Authors:  X Yang; D Hao; H Zhang; B Liu; M Yang; B He
Journal:  Osteoporos Int       Date:  2016-09-03       Impact factor: 4.507

4.  Evidence of the Role of R-Spondin 1 and Its Receptor Lgr4 in the Transmission of Mechanical Stimuli to Biological Signals for Bone Formation.

Authors:  Gui-Xun Shi; Xin-Feng Zheng; Chao Zhu; Bo Li; Yu-Ren Wang; Sheng-Dan Jiang; Lei-Sheng Jiang
Journal:  Int J Mol Sci       Date:  2017-03-07       Impact factor: 5.923

5.  Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models.

Authors:  Sebastian F Baumbach; Jakob Binder; Alexander Synek; Fabian G Mück; Yan Chevalier; Ekkehard Euler; Georg Langs; Lukas Fischer
Journal:  BMC Med Imaging       Date:  2017-03-09       Impact factor: 1.930

Review 6.  Statistical Shape and Appearance Models: Development Towards Improved Osteoporosis Care.

Authors:  Lorenzo Grassi; Sami P Väänänen; Hanna Isaksson
Journal:  Curr Osteoporos Rep       Date:  2021-11-13       Impact factor: 5.096

7.  Statistical shape modelling of hip and lumbar spine morphology and their relationship in the MRC National Survey of Health and Development.

Authors:  Anastasia V Pavlova; Fiona R Saunders; Stella G Muthuri; Jennifer S Gregory; Rebecca J Barr; Kathryn R Martin; Rebecca J Hardy; Rachel Cooper; Judith E Adams; Diana Kuh; Richard M Aspden
Journal:  J Anat       Date:  2017-05-31       Impact factor: 2.610

8.  Prenatal growth map of the mouse knee joint by means of deformable registration technique.

Authors:  Mario Giorgi; Vivien Sotiriou; Niccolo' Fanchini; Simone Conigliaro; Cristina Bignardi; Niamh C Nowlan; Enrico Dall'Ara
Journal:  PLoS One       Date:  2019-01-03       Impact factor: 3.240

  8 in total

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