Literature DB >> 27026329

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

L M Giangregorio1,2,3, J C Gibbs4, B C Craven5,6.   

Abstract

Peripheral quantitative computed tomography (pQCT) can be used to examine bone strength outcomes and muscle size and fatty infiltration. Our research team and others have used it to examine bone loss after spinal cord injury (SCI). However, the high prevalence of restricted lower extremity range of motion, spasticity, edema, excessive muscle atrophy, or severe osteoporosis necessitates changes to standard protocols for screening, positioning during scan acquisition, and analysis methods. This manuscript outlines the challenges that we experienced using pQCT in individuals with SCI, and provides solutions, ones that may also be applicable when using pQCT in individuals with other chronic conditions or in older adults. Suggestions for participant screening, positioning individuals for scanning while in a wheelchair, scan site selection, need for attendant assistance, and considerations in the presence of secondary complications, such as contracture, spasticity, and paralysis, are presented. In the presence of very low bone mineral density or severe muscle atrophy, the default analysis modes provided by the manufacturer may not provide valid estimates of bone or muscle indices; we propose alternates. We have used watershed segmentation methods to determine muscle size and density based on lower precision error compared to threshold-based edge-detection segmentation, particularly for adults with SCI, where more fatty infiltration was present. By presenting our "lessons learned," we hope to reduce the learning curve for researchers using pQCT in the future.

Entities:  

Keywords:  Bone mineral density; Muscle atrophy; Peripheral quantitative computed tomography; Spinal cord injury

Mesh:

Year:  2016        PMID: 27026329     DOI: 10.1007/s00198-016-3572-0

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  34 in total

1.  Integrating watersheds and critical point analysis for object detection in discrete 2D images.

Authors:  Guoyi Fu; S A Hojjat; A C F Colchester
Journal:  Med Image Anal       Date:  2004-09       Impact factor: 8.545

2.  Long-term changes in the tibia and radius bone mineral density following spinal cord injury.

Authors:  E D de Bruin; B Vanwanseele; M A Dambacher; V Dietz; E Stüssi
Journal:  Spinal Cord       Date:  2005-02       Impact factor: 2.772

3.  Reduced loading due to spinal-cord injury at birth results in "slender" bones: a case study.

Authors:  L M Giangregorio; N McCartney
Journal:  Osteoporos Int       Date:  2006-09-14       Impact factor: 4.507

4.  Lower-extremity muscle cross-sectional area after incomplete spinal cord injury.

Authors:  Prithvi K Shah; Jennifer E Stevens; Chris M Gregory; Neeti C Pathare; Arun Jayaraman; Scott C Bickel; Mark Bowden; Andrea L Behrman; Glenn A Walter; Gary A Dudley; Krista Vandenborne
Journal:  Arch Phys Med Rehabil       Date:  2006-06       Impact factor: 3.966

5.  Measuring apparent trabecular density and bone structure using peripheral quantitative computed tomography at the tibia: precision in participants with and without spinal cord injury.

Authors:  Lora Giangregorio; Deena Lala; Kayla Hummel; Christopher Gordon; B Catharine Craven
Journal:  J Clin Densitom       Date:  2012-09-13       Impact factor: 2.617

6.  Standardizing evaluation of pQCT image quality in the presence of subject movement: qualitative versus quantitative assessment.

Authors:  Robert M Blew; Vinson R Lee; Joshua N Farr; Daniel J Schiferl; Scott B Going
Journal:  Calcif Tissue Int       Date:  2014-02       Impact factor: 4.333

7.  Predicting patient-specific rates of bone loss at fracture-prone sites after spinal cord injury.

Authors:  S Coupaud; A N McLean; S Lloyd; D B Allan
Journal:  Disabil Rehabil       Date:  2012-05-04       Impact factor: 3.033

8.  Impact on bone and muscle area after spinal cord injury.

Authors:  Yannis Dionyssiotis; Konstantinos Stathopoulos; Georgios Trovas; Nikolaos Papaioannou; Grigorios Skarantavos; Panayiotis Papagelopoulos
Journal:  Bonekey Rep       Date:  2015-01-28

9.  Bone steady-state is established at reduced bone strength after spinal cord injury: a longitudinal study using peripheral quantitative computed tomography (pQCT).

Authors:  Angela Frotzler; Markus Berger; Hans Knecht; Prisca Eser
Journal:  Bone       Date:  2008-05-16       Impact factor: 4.398

10.  Bone loss and mechanical properties of tibia in spinal cord injured men.

Authors:  Y Dionyssiotis; G Trovas; A Galanos; P Raptou; N Papaioannou; P Papagelopoulos; K Petropoulou; G P Lyritis
Journal:  J Musculoskelet Neuronal Interact       Date:  2007 Jan-Mar       Impact factor: 2.041

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  4 in total

Review 1.  Bone loss at the distal femur and proximal tibia in persons with spinal cord injury: imaging approaches, risk of fracture, and potential treatment options.

Authors:  C M Cirnigliaro; M J Myslinski; M F La Fountaine; S C Kirshblum; G F Forrest; W A Bauman
Journal:  Osteoporos Int       Date:  2016-12-05       Impact factor: 4.507

2.  The effect of Functional Electrical Stimulation-assisted posture-shifting in bone mineral density: case series-pilot study.

Authors:  Monica Armengol; Ioannis D Zoulias; Robin S Gibbons; Ian McCarthy; Brian J Andrews; William S Harwin; William Holderbaum
Journal:  Spinal Cord Ser Cases       Date:  2022-06-10

Review 3.  Osteoporosis after spinal cord injury: aetiology, effects and therapeutic approaches.

Authors:  Shima Abdelrahman; Alex Ireland; Elizabeth M Winter; Mariel Purcell; Sylvie Coupaud
Journal:  J Musculoskelet Neuronal Interact       Date:  2021-03-01       Impact factor: 2.041

Review 4.  Mechanical basis of bone strength: influence of bone material, bone structure and muscle action.

Authors:  N H Hart; S Nimphius; T Rantalainen; A Ireland; A Siafarikas; R U Newton
Journal:  J Musculoskelet Neuronal Interact       Date:  2017-09-01       Impact factor: 2.041

  4 in total

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