Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/27529
Title: 3D Printed Patient-Specific Complex Hip Arthroplasty Models Streamline the Preoperative Surgical Workflow: A Pilot Study.
Austin Authors: Jiang, Michael ;Coles-Black, Jasamine ;Chen, Gordon ;Alexander, Matthew;Chuen, Jason ;Hardidge, Andrew J 
Affiliation: 3D Medical Printing Laboratory
Surgery (University of Melbourne)
Issue Date: 26-Aug-2021
Date: 2021
Publication information: Frontiers in Surgery 2021; 8: 687379
Abstract: Introduction: Surgical planning for complex total hip arthroplasty (THA) often presents a challenge. Definitive plans can be difficult to decide upon, requiring unnecessary equipment to be ordered and a long theatre list booked. We present a pilot study utilising patient-specific 3D printed models as a method of streamlining the pre-operative planning process. Methods: Complex patients presenting for THA were referred to the research team. Patient-specific 3D models were created from routine Computed Tomography (CT) imaging. Simulated surgery was performed to guide prosthesis selection, sizing and the surgical plan. Results: Seven patients were referred for this pilot study, presenting with complex conditions with atypical anatomy. Surgical plans provided by the 3D models were more detailed and accurate when compared to 2D CT and X ray imaging. Streamlined equipment selection was of great benefit, with augments avoided post simulation in three cases. The ability to tackle complex surgical problems outside of the operating theatre also flagged potential complications, while also providing teaching opportunities in a low risk environment. Conclusion: This study demonstrated that 3D printed models can improve the surgical plan and streamline operative logistics. Further studies investigating the optimal 3D printing material and workflow, along with cost-benefit analyses are required before this process is ready for routine use.
URI: https://ahro.austin.org.au/austinjspui/handle/1/27529
DOI: 10.3389/fsurg.2021.687379
Journal: Frontiers in Surgery
PubMed URL: 34513912
ISSN: 2296-875X
Type: Journal Article
Subjects: 3D printing
healthcare systems
orthopaedic surgery
presurgical planning
simulation
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