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Computational Modeling Intervertebral Disc Pathophysiology: A Review.
Volz, Mallory; Elmasry, Shady; Jackson, Alicia R; Travascio, Francesco.
Afiliação
  • Volz M; Department of Biomedical Engineering, University of Miami, Coral Gables, FL, United States.
  • Elmasry S; Department of Biomechanics, Hospital for Special Surgery, New York, NY, United States.
  • Jackson AR; Department of Biomedical Engineering, University of Miami, Coral Gables, FL, United States.
  • Travascio F; Department of Mechanical and Aerospace Engineering, University of Miami, Coral Gables, FL, United States.
Front Physiol ; 12: 750668, 2021.
Article em En | MEDLINE | ID: mdl-35095548
Lower back pain is a medical condition of epidemic proportion, and the degeneration of the intervertebral disc has been identified as a major contributor. The etiology of intervertebral disc (IVD) degeneration is multifactorial, depending on age, cell-mediated molecular degradation processes and genetics, which is accelerated by traumatic or gradual mechanical factors. The complexity of such intertwined biochemical and mechanical processes leading to degeneration makes it difficult to quantitatively identify cause-effect relationships through experiments. Computational modeling of the IVD is a powerful investigative tool since it offers the opportunity to vary, observe and isolate the effects of a wide range of phenomena involved in the degenerative process of discs. This review aims at discussing the main findings of finite element models of IVD pathophysiology with a special focus on the different factors contributing to physical changes typical of degenerative phenomena. Models presented are subdivided into those addressing role of nutritional supply, progressive biochemical alterations stemming from an imbalance between anabolic and catabolic processes, aging and those considering mechanical factors as the primary source that induces morphological change within the disc. Limitations of the current models, as well as opportunities for future computational modeling work are also discussed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça