1
|
Schönthaler W, Dauwe J, Holzer LA. Patient-specific instrumentation in total knee arthroplasty: a review of the current literature. Acta Orthop Belg 2023; 89:299-306. [PMID: 37924556 DOI: 10.52628/89.2.11543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2023]
Abstract
Total knee arthroplasty (TKA) is one of the most frequently performed interventions in the field of Orthopaedic surgery. Over the last decades the implantation technique has improved continuously. The majority of patients is satisfied with the clinical outcome of TKA. However in various clinical follow-ups, up to 20% of unsatisfied patients can be observed. Periprosthetic infection and aseptic loosening seem to be the most common reasons for failure. Malalignment has been discussed as a cause of aseptic loosening and often leads to revision surgery. In order to increase the precision of implant positioning and alignment, new technologies such as patient-specific instrumentation (PSI) have been developed. Since the introduction of PSI, multiple clinical studies have been performed analyzing the clinical and radiological outcome of TKA with PSI technique. This review covers the recent literature of PSI in respect to surgical accuracy, clinical outcome, time- and cost-effectiveness.
Collapse
|
2
|
Chepelev L, Wake N, Ryan J, Althobaity W, Gupta A, Arribas E, Santiago L, Ballard DH, Wang KC, Weadock W, Ionita CN, Mitsouras D, Morris J, Matsumoto J, Christensen A, Liacouras P, Rybicki FJ, Sheikh A. Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios. 3D Print Med 2018; 4:11. [PMID: 30649688 PMCID: PMC6251945 DOI: 10.1186/s41205-018-0030-y] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 09/19/2018] [Indexed: 02/08/2023] Open
Abstract
Medical three-dimensional (3D) printing has expanded dramatically over the past three decades with growth in both facility adoption and the variety of medical applications. Consideration for each step required to create accurate 3D printed models from medical imaging data impacts patient care and management. In this paper, a writing group representing the Radiological Society of North America Special Interest Group on 3D Printing (SIG) provides recommendations that have been vetted and voted on by the SIG active membership. This body of work includes appropriate clinical use of anatomic models 3D printed for diagnostic use in the care of patients with specific medical conditions. The recommendations provide guidance for approaches and tools in medical 3D printing, from image acquisition, segmentation of the desired anatomy intended for 3D printing, creation of a 3D-printable model, and post-processing of 3D printed anatomic models for patient care.
Collapse
Affiliation(s)
- Leonid Chepelev
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Nicole Wake
- Center for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY USA
- Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY USA
| | | | - Waleed Althobaity
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Ashish Gupta
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Elsa Arribas
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Lumarie Santiago
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO USA
| | - Kenneth C Wang
- Baltimore VA Medical Center, University of Maryland Medical Center, Baltimore, MD USA
| | - William Weadock
- Department of Radiology and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI USA
| | - Ciprian N Ionita
- Department of Neurosurgery, State University of New York Buffalo, Buffalo, NY USA
| | - Dimitrios Mitsouras
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | | | | | - Andy Christensen
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Peter Liacouras
- 3D Medical Applications Center, Walter Reed National Military Medical Center, Washington, DC, USA
| | - Frank J Rybicki
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| | - Adnan Sheikh
- Department of Radiology and The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Canada
| |
Collapse
|