Journal article

In situ compressive loading and correlative noninvasive imaging of the bone-periodontal ligament-tooth fibrous joint.

Jang A, Lin J, Seo Y, Etchin S, Merkle A, Fahey K, Ho S ...see all

Journal of visualized experiments : JoVE, issue 85 (2014) p. e51147 Published by MyJoVE Corporation

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This study demonstrates a novel biomechanics testing protocol. The advantage of this protocol includes the use of an in situ loading device coupled to a high resolution X-ray microscope, thus enabling visualization of internal structural elements under simulated physiological loads and wet conditions. Experimental specimens will include intact bone-periodontal ligament (PDL)-tooth fibrous joints. Results will illustrate three important features of the protocol as they can be applied to organ level biomechanics: 1) reactionary force vs. displacement: tooth displacement within the alveolar socket and its reactionary response to loading, 2) three-dimensional (3D) spatial configuration and morphometrics: geometric relationship of the tooth with the alveolar socket, and 3) changes in readouts 1 and 2 due to a change in loading axis, i.e. from concentric to eccentric loads. Efficacy of the proposed protocol will be evaluated by coupling mechanical testing readouts to 3D morphometrics and overall biomechanics of the joint. In addition, this technique will emphasize on the need to equilibrate experimental conditions, specifically reactionary loads prior to acquiring tomograms of fibrous joints. It should be noted that the proposed protocol is limited to testing specimens under ex vivo conditions, and that use of contrast agents to visualize soft tissue mechanical response could lead to erroneous conclusions about tissue and organ-level biomechanics.

Author-supplied keywords

  • Alveolar Process
  • Alveolar Process: physiology
  • Animals
  • Biomechanical Phenomena
  • Periodontal Ligament
  • Periodontal Ligament: physiology
  • Rats
  • Sprague-Dawley
  • Tomography
  • Tooth
  • Tooth: physiology
  • X-Ray Computed
  • X-Ray Computed: instrumentation
  • X-Ray Computed: methods

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  • Andrew T Jang

  • Jeremy D Lin

  • Youngho Seo

  • Sergey Etchin

  • Arno Merkle

  • Kevin Fahey

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