Semi-automated digital workflow to design and evaluate patient-specific mandibular reconstruction implants

Kootwijk, A. van; Moosabeiki, Vahid; Saldívar, Mauricio Cruz; Pahlavani, H.; Leeflang, M.A.; Kazemivand, S.; Pellikaan, P.; Jonker, Brend P.; Ahmadi, S.M.; Wolvius, Eppo B.; Tümer, N.; Mirzaali, Mohammad J.; Zhou, Jie; Zadpoor, Amir A.

doi:10.1016/j.jmbbm.2022.105291

Cited by 11 publications

(15 citation statements)

References 63 publications

(80 reference statements)

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“…[71, 106], others suggest that reduced muscle force may occur due to decreased chewing power after reconstruction surgery [22,26,41]. We believe, this topic needs more investigation since there is still a lack of information about post-operative muscle forces in patients especially, those with extensive mandibular defects [48,74].…”

Section: D) Main Measurements In Feamentioning

confidence: 97%

Computational Models and Their Applications in Biomechanical Analysis of Mandibular Reconstruction Surgery

Aftabi,

Eghbal,

McGregor

et al. 2023

Preprint

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Advanced head and neck cancers involving the mandible often require surgical removal of the diseased parts and replacement with donor bone or prosthesis to recreate the form and function of the premorbid mandible. The degree to which this reconstruction successfully replicates key geometric features of the original bone critically affects the cosmetic and functional outcomes of speaking, chewing, and breathing. With advancements in computational power, biomechanical modeling has emerged as a prevalent tool for predicting the functional outcomes of the masticatory system and evaluating the effectiveness of reconstruction procedures in patients undergoing mandibular reconstruction surgery. These models enable surgeons to provide cost-efficient and patient-specific treatment tailored to the needs of individuals. To underscore the significance of biomechanical modeling, we conducted a review of 66 studies that utilized computational models in the biomechanical analysis of mandibular reconstruction surgery. These studies were categorized based on the main components analyzed, including bone flaps, plates/screws, and prostheses, as well as their design and material composition.

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Section: D) Main Measurements In Feamentioning

confidence: 97%

Computational Models and Their Applications in Biomechanical Analysis of Mandibular Reconstruction Surgery

Aftabi,

Eghbal,

McGregor

et al. 2023

Preprint

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show abstract

“…The authors attributed this to the bending process inducing stress concentrations within parts of the plates with sharp angles. Moreover, the bending of plates may not provide a similar contour to that of the mandible and is highly dependent on the surgeon’s skill [ 81 ]. The bending of fixation plates can also increase the likeliness of fatigue failure.…”

Section: Challenges Associated With the Use Of Fixation Platesmentioning

confidence: 99%

“…Fatigue fracture risk is reduced as no bending is performed on the implant components during surgery. The technical and surgical complexity is reduced, and the aesthetic outcome is improved due to the matching of implant geometry to the original bone shape [ 81 ].…”

Section: Lattice-structured Mandibular Implants With Cage and Crib De...mentioning

confidence: 99%

Titanium Alloy Implants with Lattice Structures for Mandibular Reconstruction

Hijazi,

Dixon,

Armstrong

et al. 2023

Materials

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In recent years, the field of mandibular reconstruction has made great strides in terms of hardware innovations and their clinical applications. There has been considerable interest in using computer-aided design, finite element modelling, and additive manufacturing techniques to build patient-specific surgical implants. Moreover, lattice implants can mimic mandibular bone’s mechanical and structural properties. This article reviews current approaches for mandibular reconstruction, their applications, and their drawbacks. Then, we discuss the potential of mandibular devices with lattice structures, their development and applications, and the challenges for their use in clinical settings.

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“…An example of an objective function can be defined based on maximising the specific stiffness (i.e., stiffness-to-mass ratio), which can lead to lattices with similar anisotropic spongy-bone microarchitectures [ 53 ]. There are some optimisation models that have been developed by considering bone tissue adaptation processes [ 11 , 54 , 55 ] in order to create the optimal designs of microstructures of lattice parts that are often used for the creation of bone scaffolds and orthopaedic implants in biomedical engineering ( Figure 1 d) [ 56 , 57 , 58 , 59 ]. Strain energy can also be defined as another objective function for the TO of load-bearing lattice structures.…”

Section: Geometrical Design Of Latticesmentioning

confidence: 99%

Additive Manufacturing of Biomaterials—Design Principles and Their Implementation

et al. 2022

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Additive manufacturing (AM, also known as 3D printing) is an advanced manufacturing technique that has enabled progress in the design and fabrication of customised or patient-specific (meta-)biomaterials and biomedical devices (e.g., implants, prosthetics, and orthotics) with complex internal microstructures and tuneable properties. In the past few decades, several design guidelines have been proposed for creating porous lattice structures, particularly for biomedical applications. Meanwhile, the capabilities of AM to fabricate a wide range of biomaterials, including metals and their alloys, polymers, and ceramics, have been exploited, offering unprecedented benefits to medical professionals and patients alike. In this review article, we provide an overview of the design principles that have been developed and used for the AM of biomaterials as well as those dealing with three major categories of biomaterials, i.e., metals (and their alloys), polymers, and ceramics. The design strategies can be categorised as: library-based design, topology optimisation, bio-inspired design, and meta-biomaterials. Recent developments related to the biomedical applications and fabrication methods of AM aimed at enhancing the quality of final 3D-printed biomaterials and improving their physical, mechanical, and biological characteristics are also highlighted. Finally, examples of 3D-printed biomaterials with tuned properties and functionalities are presented.

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Semi-automated digital workflow to design and evaluate patient-specific mandibular reconstruction implants

Cited by 11 publications

References 63 publications

Computational Models and Their Applications in Biomechanical Analysis of Mandibular Reconstruction Surgery

Computational Models and Their Applications in Biomechanical Analysis of Mandibular Reconstruction Surgery

Titanium Alloy Implants with Lattice Structures for Mandibular Reconstruction

Additive Manufacturing of Biomaterials—Design Principles and Their Implementation

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