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Modeling-Based Assessment of 3D Printing-Enabled Meniscus Transplantation

Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA
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Healthcare 2019, 7(2), 69; https://doi.org/10.3390/healthcare7020069
Received: 8 April 2019 / Revised: 2 May 2019 / Accepted: 7 May 2019 / Published: 10 May 2019
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Abstract

3D printing technology is able to produce personalized artificial substitutes for patients with damaged menisci. However, there is a lack of thorough understanding of 3D printing-enabled (3DP-enabled) meniscus transplantation and its long-term advantages over traditional transplantation. To help health care stakeholders and patients assess the value of 3DP-enabled meniscus transplantation, this study compares the long-term cost and risk of this new paradigm with traditional transplantation by simulation. Pathway models are developed to simulate patients’ treatment process during a 20-year period, and a Markov process is used to model the state transitions of patients after transplantation. A sensitivity analysis is also conducted to show the effect of quality of 3D-printed meniscus on model outputs. The simulation results suggest that the performance of 3DP-enabled meniscus transplantation depends on quality of 3D-printed meniscus. The conclusion of this study is that 3DP-enabled meniscus transplantation has many advantages over traditional meniscus transplantation, including a minimal waiting time, perfect size and shape match, and potentially lower cost and risk in the long term. View Full-Text
Keywords: 3D printing; Markov model; meniscus transplantation; pathway model 3D printing; Markov model; meniscus transplantation; pathway model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zhang, Z.; Wu, Q.; Zeng, L.; Wang, S. Modeling-Based Assessment of 3D Printing-Enabled Meniscus Transplantation. Healthcare 2019, 7, 69.

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