Point-of-Care Orthopedic Oncology Device Development.

3D printing 3D technologies augmented reality endo-prostheses individualized instruments patient-specific point of care virtual reality

Journal

Current oncology (Toronto, Ont.)
ISSN: 1718-7729
Titre abrégé: Curr Oncol
Pays: Switzerland
ID NLM: 9502503

Informations de publication

Date de publication:
29 Dec 2023
Historique:
received: 14 11 2023
revised: 08 12 2023
accepted: 26 12 2023
medline: 22 1 2024
pubmed: 22 1 2024
entrez: 22 1 2024
Statut: epublish

Résumé

The triad of 3D design, 3D printing, and xReality technologies is explored and exploited to collaboratively realize patient-specific products in a timely manner with an emphasis on designs with meta-(bio)materials. A case study on pelvic reconstruction after oncological resection (osteosarcoma) was selected and conducted to evaluate the applicability and performance of an inter-epistemic workflow and the feasibility and potential of 3D technologies for modeling, optimizing, and materializing individualized orthopedic devices at the point of care (PoC). Image-based diagnosis and treatment at the PoC can be readily deployed to develop orthopedic devices for pre-operative planning, training, intra-operative navigation, and bone substitution. Inter-epistemic symbiosis between orthopedic surgeons and (bio)mechanical engineers at the PoC, fostered by appropriate quality management systems and end-to-end workflows under suitable scientifically amalgamated synergies, could maximize the potential benefits. However, increased awareness is recommended to explore and exploit the full potential of 3D technologies at the PoC to deliver medical devices with greater customization, innovation in design, cost-effectiveness, and high quality.

Sections du résumé

BACKGROUND BACKGROUND
The triad of 3D design, 3D printing, and xReality technologies is explored and exploited to collaboratively realize patient-specific products in a timely manner with an emphasis on designs with meta-(bio)materials.
METHODS METHODS
A case study on pelvic reconstruction after oncological resection (osteosarcoma) was selected and conducted to evaluate the applicability and performance of an inter-epistemic workflow and the feasibility and potential of 3D technologies for modeling, optimizing, and materializing individualized orthopedic devices at the point of care (PoC).
RESULTS RESULTS
Image-based diagnosis and treatment at the PoC can be readily deployed to develop orthopedic devices for pre-operative planning, training, intra-operative navigation, and bone substitution.
CONCLUSIONS CONCLUSIONS
Inter-epistemic symbiosis between orthopedic surgeons and (bio)mechanical engineers at the PoC, fostered by appropriate quality management systems and end-to-end workflows under suitable scientifically amalgamated synergies, could maximize the potential benefits. However, increased awareness is recommended to explore and exploit the full potential of 3D technologies at the PoC to deliver medical devices with greater customization, innovation in design, cost-effectiveness, and high quality.

Identifiants

pubmed: 38248099
pii: curroncol31010014
doi: 10.3390/curroncol31010014
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

211-228

Auteurs

Ioannis I Mavrodontis (II)

First Department of Orthopaedic Surgery, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Ioannis G Trikoupis (IG)

First Department of Orthopaedic Surgery, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Vasileios A Kontogeorgakos (VA)

First Department of Orthopaedic Surgery, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Olga D Savvidou (OD)

First Department of Orthopaedic Surgery, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Panayiotis J Papagelopoulos (PJ)

First Department of Orthopaedic Surgery, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Classifications MeSH