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Use Case V: Imaging Biomarkers in Musculoskeletal Disorders

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Abstract

Structural, compositional, and functional changes are common manifestations of musculoskeletal (MSK) disorders. Therefore, with the advent of advanced medical image acquisition and image analysis techniques, there has been a demand and an increased interest toward image-based noninvasive quantification of different pathophysiological elements associated with MSK disorders. Osteoporosis and osteoarthritis of the knee are two MSK disorders with considerable personal and economic burdens. Therefore, these two pathologies have received substantial attention in the medical imaging community, with dual X-ray absorptiometry (DXA) and radiography playing key roles in their clinical diagnosis, respectively. In terms of research, quantitative computed tomography (QCT) has become the leading in vivo imaging modality for the study of osteoporosis enabling the assessment of the most relevant tissues involved in this pathology: the bone and muscle [1, 2]. However, high-resolution peripheral quantitative computed tomography (HR-pQCT) is a relatively novel imaging modality with great potential to uncover new clinical findings in the study of osteoporosis [3, 4] and, with the new generation of scanners, also in the study of knee osteoarthritis. Regarding knee osteoarthritis research, magnetic resonance imaging (MRI) is the leading in vivo imaging modality enabling the assessment of the most relevant tissues involved in this pathology: the cartilage, bone, muscle, and meniscus [5].

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  1. Department of Radiology, University of Colorado Denver, Denver, CO, USA

    Julio Carballido-Gamio PhD

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  1. La Fe University and Polithecnic Hospital, University of Valencia, Valencia, Spain

    Luis Martí-Bonmatí

  2. La Fe University and Polithecnic Hospital, University of Valencia, Valencia, Spain

    Angel Alberich-Bayarri

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Carballido-Gamio, J. (2017). Use Case V: Imaging Biomarkers in Musculoskeletal Disorders. In: Martí-Bonmatí, L., Alberich-Bayarri, A. (eds) Imaging Biomarkers. Springer, Cham. https://doi.org/10.1007/978-3-319-43504-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-43504-6_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43502-2

  • Online ISBN: 978-3-319-43504-6

  • eBook Packages: MedicineMedicine (R0)

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