Modeling the Spine Using Finite Element Models: Considerations and Cautions

Kramer, Patricia Ann; Hammerberg, Alexandra G.; Sylvester, Adam D.

doi:10.1007/978-3-030-19349-2_17

Cited by 4 publications

(3 citation statements)

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“…Sensitivity studies are useful in understanding how parameter estimates affect the results, but not in validating the model [ 49 , 83 – 86 ], which requires data from empirical studies (e.g. [ 53 , 83 ]).…”

Section: Examples Of Anthroengineeringmentioning

confidence: 99%

Anthroengineering: an independent interdisciplinary field

Berthaume

Kramer

2021

Interface Focus.

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In recent decades, funding agencies, institutes and professional bodies have recognized the profound benefits of transdisciplinarity in tackling targeted research questions. However, once questions are answered, the previously abundant support often dissolves. As such, the long-term benefits of these transdisciplinary approaches are never fully achieved. Over the last several decades, the integration of anthropology and engineering through inter- and multidisciplinary work has led to advances in fields such as design, human evolution and medical technologies. The lack of formal recognition, however, of this transdisciplinary approach as a unique entity rather than a useful tool or a subfield makes it difficult for researchers to establish laboratories, secure permanent jobs, fund long-term research programmes and train students in this approach. To facilitate the growth and development and witness the long-term benefits of this approach, we propose the integration of anthropology and engineering be recognized as a new, independent field known as anthroengineering . We present a working definition for anthroengineering and examples of how anthroengineering has been used. We discuss the necessity of recognizing anthroengineering as a unique field and explore potential novel applications. Finally, we discuss the future of anthroengineering, highlighting avenues for moving the field forward.

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Section: Examples Of Anthroengineeringmentioning

confidence: 99%

Anthroengineering: an independent interdisciplinary field

Berthaume

Kramer

2021

Interface Focus.

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“…The biomechanics of the spine are extremely complex, and many different anatomical components are involved. In computational simulations, these components are modelled separately, each one being associated with specified modelling features according to their biomechanical response and constitutive model relationships [4,5]. A complete finite element (FE) analysis of the spine requires the modelling of bone components, intervertebral discs, facet joints, and seven major spinal ligaments, as well as the cartilaginous endplates [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the facet joint needs to be represented in order to account for the relative movement between the spinal processes of the two vertebrae. The seven major ligaments represented in the FE model are the anterior longitudinal ligament (ALL), posterior longitudinal ligament (PLL), interspinous ligament (IL), intertransverse ligament (TL), flavian ligament (FL), supraspinous ligament (SL), and capsular ligament (CL) [5,6]. Ligaments contribute to spinal stabilization by establishing the follower force path-way, which passes through the rotation centers of the vertebrae [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

On the Finite Element Modeling of the Lumbar Spine: A Schematic Review

et al. 2023

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Finite element modelling of the lumbar spine is a challenging problem. Lower back pain is among the most common pathologies in the global populations, owing to which the patient may need to undergo surgery. The latter may differ in nature and complexity because of spinal disease and patient contraindications (i.e., aging). Today, the understanding of spinal column biomechanics may lead to better comprehension of the disease progression as well as to the development of innovative therapeutic strategies. Better insight into the spine’s biomechanics would certainly guarantee an evolution of current device-based treatments. In this setting, the computational approach appears to be a remarkable tool for simulating physiological and pathological spinal conditions, as well as for various aspects of surgery. Patient-specific computational simulations are constantly evolving, and require a number of validation and verification challenges to be overcome before they can achieve true and accurate results. The aim of the present schematic review is to provide an overview of the evolution and recent advances involved in computational finite element modelling (FEM) of spinal biomechanics and of the fundamental knowledge necessary to develop the best modeling approach in terms of trustworthiness and reliability.

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