Uncemented hips: current status

Ansari, Juned; Takahashi, Tsuneari; Pandit, Hemant

doi:10.1016/j.mporth.2017.11.005

Cited by 1 publication

(3 citation statements)

References 15 publications

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“…Pictorial representation to Stress-shielding phenomenon in the proximal femur due to the implanted prosthesis. 94 (B) Bone remodelling zones (overload and underload induced) in between the growth zone separated by critical resorption stress curves 95 order tensor 78,103 that describes the principal values and directions of bone mass distribution is used by Cowin 103 to characterize bone anisotropy. Jacobs et al 80,104 established an anisotropic model based on density adaptation and anisotropy reorientation, with the primary stresses as the mechanical stimuli.…”

Section: Few Other Problem-specific Bone Remodelling Approaches Devel...mentioning

confidence: 99%

“…However, metallic implants are very effective in stabilizing osteoporotic and transverse fractures requiring more support and compression, which cannot be provided by gypsum casts. But, metallic implants lead to associated undesirable stress shielding, 1,94 causing bone loss. The changed mechanical environment triggers an adaptive response in the bone, causing the bone structure and density to cater to its mechanical needs 64 .…”

Section: Bone Remodelling Around Orthopaedic Implantsmentioning

confidence: 99%

“…(A) Pictorial representation to Stress‐shielding phenomenon in the proximal femur due to the implanted prosthesis 94 . (B) Bone remodelling zones (overload and underload induced) in between the growth zone separated by critical resorption stress curves 95 …”

Section: Bone Remodelling Around Orthopaedic Implantsmentioning

confidence: 99%

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Application of finite element analysis to tissue differentiation and bone remodelling approaches and their use in design optimization of orthopaedic implants: A review

Ghosh

Chanda

Chakraborty

2022

Numer Methods Biomed Eng

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Post-operative bone growth and long-term bone adaptation around the orthopaedic implants are simulated using the mechanoregulation based tissuedifferentiation and adaptive bone remodelling algorithms, respectively. The primary objective of these algorithms was to assess biomechanical feasibility and reliability of orthopaedic implants. This article aims to offer a comprehensive review of the developments in mathematical models of tissuedifferentiation and bone adaptation and their applications in studies involving design optimization of orthopaedic implants over three decades. Despite the different mechanoregulatory models developed, existing literature confirm that none of the models can be highly regarded or completely disregarded over each other. Not much development in mathematical formulations has been observed from the current state of knowledge due to the lack of in vivo studies involving clinically relevant animal models, which further retarded the development of such models to use in translational research at a fast pace. Future investigations involving artificial intelligence (AI), soft-computing techniques and combined tissue-differentiation and bone-adaptation studies involving animal subjects for model verification are needed to formulate more sophisticated mathematical models to enhance the accuracy of pre-clinical testing of orthopaedic implants.

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