Artificial Intelligence in Spine and Paraspinal Muscle Analysis.

Journal: Advances in experimental medicine and biology
PMID: 39523283

Abstract

Disorders affecting the neurological and musculoskeletal systems represent international health burdens. A significant impediment to progress with interventional trials is the absence of responsive, objective, and valid outcome measures sensitive to early disease or disorder change. A key finding in individuals with spinal disorders is compositional changes to the paraspinal muscle and soft tissue (e.g., intervertebral disc, facet joint capsule, and ligamentous) structure. Quantification of paraspinal muscle composition by MRI has emerged as a sensitive marker for the severity of these conditions; however, little is known about the composition of muscles across the lifespan. Knowledge of what is "typical" age-related muscle composition is essential in order to accurately identify and evaluate "atypical," with a potential impact being improvements in pre- and postsurgical plan and measurement of surgical implants, exoskeletons, and care on a patient-by-patient basis.

Authors

  • James M Elliott
    Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Evert O Wesselink
    Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Rebecca J Crawford
    eugalyptus GmbH, Baar, Switzerland.
  • Jon Cornwall
    Centre for Early Learning in Medicine, Otago Medical School, University of Otago, Dunedin, New Zealand.
  • Marnee McKay
    Faculty of Medicine and Health, School of Health Sciences, Division of Physiotherapy, The University of Sydney, Camperdown, NSW, Australia.
  • Zachary Smith
    Tufts Center for the Study of Drug Development, Tufts University School of Medicine, 75 Kneeland Street, Suite 1100, Boston, MA, 02111, USA.
  • Kenneth A Weber
    Department of Radiology, Stanford University School of Medicine, Stanford, California, USA.

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