3D Printing Endobronchial Models for Surgical Training and Simulation

Lung cancer is the leading cause of cancer-related deaths. Many methods and devices help acquire more accurate clinical and localization information during lung interventions and may impact the death rate for lung cancer. However, there is a learning curve for operating these tools due to the comple...

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Main Authors: Zhuo Zhao, Sheng Xu, Bradford J. Wood, Zion Tsz Ho Tse
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/4/11/135
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spelling doaj-dc7fcc2594984affb5c61f167e24d29b2020-11-25T00:49:11ZengMDPI AGJournal of Imaging2313-433X2018-11-0141113510.3390/jimaging4110135jimaging41101353D Printing Endobronchial Models for Surgical Training and SimulationZhuo Zhao0Sheng Xu1Bradford J. Wood2Zion Tsz Ho Tse3School of Electrical and Computer Engineering, University of Georgia, Athens, GA 30602, USACenter for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center, National Institute of Biomedical Imaging and Bioengineering, & National Cancer Institute Center for Cancer Research, National Institutes of Health (NIH), Bethesda, MD 20892, USACenter for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center, National Institute of Biomedical Imaging and Bioengineering, & National Cancer Institute Center for Cancer Research, National Institutes of Health (NIH), Bethesda, MD 20892, USASchool of Electrical and Computer Engineering, University of Georgia, Athens, GA 30602, USALung cancer is the leading cause of cancer-related deaths. Many methods and devices help acquire more accurate clinical and localization information during lung interventions and may impact the death rate for lung cancer. However, there is a learning curve for operating these tools due to the complex structure of the airway. In this study, we first discuss the creation of a lung phantom model from medical images, which is followed by a comparison of 3D printing in terms of quality and consistency. Two tests were conducted to test the performance of the developed phantom, which was designed for training simulations of the target and ablation processes in endochonchial interventions. The target test was conducted through an electromagnetic tracking catheter with navigation software. An ablation catheter with a recently developed thermochromic ablation gel conducted the ablation test. The results of two tests show that the phantom was very useful for target and ablation simulation. In addition, the thermochromic gel allowed doctors to visualize the ablation zone. Many lung interventions may benefit from custom training or accuracy with the proposed low-cost and patient-specific phantom.https://www.mdpi.com/2313-433X/4/11/135lung phantom3D printingtraining and simulationlung interventions
collection DOAJ
language English
format Article
sources DOAJ
author Zhuo Zhao
Sheng Xu
Bradford J. Wood
Zion Tsz Ho Tse
spellingShingle Zhuo Zhao
Sheng Xu
Bradford J. Wood
Zion Tsz Ho Tse
3D Printing Endobronchial Models for Surgical Training and Simulation
Journal of Imaging
lung phantom
3D printing
training and simulation
lung interventions
author_facet Zhuo Zhao
Sheng Xu
Bradford J. Wood
Zion Tsz Ho Tse
author_sort Zhuo Zhao
title 3D Printing Endobronchial Models for Surgical Training and Simulation
title_short 3D Printing Endobronchial Models for Surgical Training and Simulation
title_full 3D Printing Endobronchial Models for Surgical Training and Simulation
title_fullStr 3D Printing Endobronchial Models for Surgical Training and Simulation
title_full_unstemmed 3D Printing Endobronchial Models for Surgical Training and Simulation
title_sort 3d printing endobronchial models for surgical training and simulation
publisher MDPI AG
series Journal of Imaging
issn 2313-433X
publishDate 2018-11-01
description Lung cancer is the leading cause of cancer-related deaths. Many methods and devices help acquire more accurate clinical and localization information during lung interventions and may impact the death rate for lung cancer. However, there is a learning curve for operating these tools due to the complex structure of the airway. In this study, we first discuss the creation of a lung phantom model from medical images, which is followed by a comparison of 3D printing in terms of quality and consistency. Two tests were conducted to test the performance of the developed phantom, which was designed for training simulations of the target and ablation processes in endochonchial interventions. The target test was conducted through an electromagnetic tracking catheter with navigation software. An ablation catheter with a recently developed thermochromic ablation gel conducted the ablation test. The results of two tests show that the phantom was very useful for target and ablation simulation. In addition, the thermochromic gel allowed doctors to visualize the ablation zone. Many lung interventions may benefit from custom training or accuracy with the proposed low-cost and patient-specific phantom.
topic lung phantom
3D printing
training and simulation
lung interventions
url https://www.mdpi.com/2313-433X/4/11/135
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