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Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education

BACKGROUND: A new model of 3D-printed temporal bone with an innovative distinction between soft and hard tissues is described and presented in the present study. An original method is reported to quantify the model’s ability to reproduce the complex anatomy of this region. METHODS: A CT-scan of temp...

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Autores principales: Chauvelot, Jordan, Laurent, Cedric, Le Coz, Gaël, Jehl, Jean-Philippe, Tran, Nguyen, Szczetynska, Marta, Moufki, Abdelhadi, Bonnet, Anne-Sophie, Parietti-Winkler, Cecile
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186742/
https://www.ncbi.nlm.nih.gov/pubmed/32355748
http://dx.doi.org/10.21037/atm.2020.03.14
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author Chauvelot, Jordan
Laurent, Cedric
Le Coz, Gaël
Jehl, Jean-Philippe
Tran, Nguyen
Szczetynska, Marta
Moufki, Abdelhadi
Bonnet, Anne-Sophie
Parietti-Winkler, Cecile
author_facet Chauvelot, Jordan
Laurent, Cedric
Le Coz, Gaël
Jehl, Jean-Philippe
Tran, Nguyen
Szczetynska, Marta
Moufki, Abdelhadi
Bonnet, Anne-Sophie
Parietti-Winkler, Cecile
author_sort Chauvelot, Jordan
collection PubMed
description BACKGROUND: A new model of 3D-printed temporal bone with an innovative distinction between soft and hard tissues is described and presented in the present study. An original method is reported to quantify the model’s ability to reproduce the complex anatomy of this region. METHODS: A CT-scan of temporal bone was segmented and prepared to obtain 3D files adapted to multi-material printing technique. A final product was obtained with two different resins differentiating hard from soft tissues. The reliability of the anatomy was evaluated by comparing the original CT-scan and the pre-processed files sent to the printer in a first step, and by quantifying the printing technique in a second step. Firstly, we evaluated the segmentation and mesh correction steps by segmenting each anatomical region in the CT-scan by two different other operators without mesh corrections, and by computing distances between the obtained geometries and the pre-processed ones. Secondly, we evaluated the printing technique by comparing the printed geometry imaged using µCT with the pre-processed one. RESULTS: The evaluation of the segmentation and mesh correction steps revealed that the distance between both geometries was globally less that one millimeter for each anatomical region and close to zero for regions such as temporal bone, semicircular canals or facial nerve. The evaluation of the printing technique revealed mismatches of 0.045±0.424 mm for soft and −0.093±0.240 mm for hard tissues between the initial prepared geometry and the actual printed model. CONCLUSIONS: While other reported models for temporal bone are simpler and have only been validated subjectively, we objectively demonstrated in the present study that our novel artificial bi-material temporal bone is consistent with the anatomy and thus could be considered into ENT surgical education programs. The methodology used in this study is quantitative, inspired by engineer sciences, making it the first of its kind. The validity of the manufacturing process has also been verified and could, therefore, be extended to other specialties, emphasizing the importance of cross-disciplinary collaborations concerning new technologies.
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spelling pubmed-71867422020-04-30 Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education Chauvelot, Jordan Laurent, Cedric Le Coz, Gaël Jehl, Jean-Philippe Tran, Nguyen Szczetynska, Marta Moufki, Abdelhadi Bonnet, Anne-Sophie Parietti-Winkler, Cecile Ann Transl Med Original Article BACKGROUND: A new model of 3D-printed temporal bone with an innovative distinction between soft and hard tissues is described and presented in the present study. An original method is reported to quantify the model’s ability to reproduce the complex anatomy of this region. METHODS: A CT-scan of temporal bone was segmented and prepared to obtain 3D files adapted to multi-material printing technique. A final product was obtained with two different resins differentiating hard from soft tissues. The reliability of the anatomy was evaluated by comparing the original CT-scan and the pre-processed files sent to the printer in a first step, and by quantifying the printing technique in a second step. Firstly, we evaluated the segmentation and mesh correction steps by segmenting each anatomical region in the CT-scan by two different other operators without mesh corrections, and by computing distances between the obtained geometries and the pre-processed ones. Secondly, we evaluated the printing technique by comparing the printed geometry imaged using µCT with the pre-processed one. RESULTS: The evaluation of the segmentation and mesh correction steps revealed that the distance between both geometries was globally less that one millimeter for each anatomical region and close to zero for regions such as temporal bone, semicircular canals or facial nerve. The evaluation of the printing technique revealed mismatches of 0.045±0.424 mm for soft and −0.093±0.240 mm for hard tissues between the initial prepared geometry and the actual printed model. CONCLUSIONS: While other reported models for temporal bone are simpler and have only been validated subjectively, we objectively demonstrated in the present study that our novel artificial bi-material temporal bone is consistent with the anatomy and thus could be considered into ENT surgical education programs. The methodology used in this study is quantitative, inspired by engineer sciences, making it the first of its kind. The validity of the manufacturing process has also been verified and could, therefore, be extended to other specialties, emphasizing the importance of cross-disciplinary collaborations concerning new technologies. AME Publishing Company 2020-03 /pmc/articles/PMC7186742/ /pubmed/32355748 http://dx.doi.org/10.21037/atm.2020.03.14 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chauvelot, Jordan
Laurent, Cedric
Le Coz, Gaël
Jehl, Jean-Philippe
Tran, Nguyen
Szczetynska, Marta
Moufki, Abdelhadi
Bonnet, Anne-Sophie
Parietti-Winkler, Cecile
Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education
title Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education
title_full Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education
title_fullStr Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education
title_full_unstemmed Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education
title_short Morphological validation of a novel bi-material 3D-printed model of temporal bone for middle ear surgery education
title_sort morphological validation of a novel bi-material 3d-printed model of temporal bone for middle ear surgery education
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186742/
https://www.ncbi.nlm.nih.gov/pubmed/32355748
http://dx.doi.org/10.21037/atm.2020.03.14
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