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Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors

BACKGROUND: To explore the application value of three-dimensional (3D) reconstruction and 3D printing in preoperative evaluation of precise resection of complicated thoracic tumors. METHODS: A retrospective analysis of 34 patients with complicated thoracic tumors who were treated by radical surgery...

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Autores principales: Tan, Deli, Yao, Jie, Hua, Xing, Li, Jingyao, Xu, Zhou, Wu, Yi, Wu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723599/
https://www.ncbi.nlm.nih.gov/pubmed/33313087
http://dx.doi.org/10.21037/atm-20-1791
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author Tan, Deli
Yao, Jie
Hua, Xing
Li, Jingyao
Xu, Zhou
Wu, Yi
Wu, Wei
author_facet Tan, Deli
Yao, Jie
Hua, Xing
Li, Jingyao
Xu, Zhou
Wu, Yi
Wu, Wei
author_sort Tan, Deli
collection PubMed
description BACKGROUND: To explore the application value of three-dimensional (3D) reconstruction and 3D printing in preoperative evaluation of precise resection of complicated thoracic tumors. METHODS: A retrospective analysis of 34 patients with complicated thoracic tumors who were treated by radical surgery from March 2016 to June 2019 was made. According to whether 3D reconstruction and 3D printing was used, the patients were divided into research group and control group. In the control group, preoperative evaluation was performed according to CT image data, and the operation plan was drawn up; in the research group, preoperative simulation and preoperative operation plan design were carried out according to 3D reconstruction and 3D printing technology. The operation time, change of operation approach, intraoperative blood loss, hospitalization time and postoperative complications were compared between the two groups. We also retrospectively reviewed additional 12 cases of unresectable complicated thoracic tumors. The above 34 patients who were treated by radical surgery were set as the resectable group. Three-dimensional reconstruction was performed for all cases. The tumor size, location, smoothness of tumor-vascular contact surface, close contact with adjacent organs were compared between these two groups. RESULTS: The 3D reconstruction and 3D printing model were successfully established. The indexes of operation time, change of incision approach and blood loss in the research group were lower than those in the control group (P<0.05). All the patients were followed up for 6 months, and there was no death, no tumor recurrence and metastasis in the two groups. In the unresectable group, the score of position and smoothness of tumor-vascular contact surface were significantly higher than that in the resectable group. CONCLUSIONS: 3D reconstruction and 3D printing can effectively help surgeons carry out accurate surgical treatment, reduce the operation time and bleeding, reduce the risk of surgery, and facilitate the postoperative rehabilitation of patients, which has the value of promotion and application.
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spelling pubmed-77235992020-12-10 Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors Tan, Deli Yao, Jie Hua, Xing Li, Jingyao Xu, Zhou Wu, Yi Wu, Wei Ann Transl Med Original Article BACKGROUND: To explore the application value of three-dimensional (3D) reconstruction and 3D printing in preoperative evaluation of precise resection of complicated thoracic tumors. METHODS: A retrospective analysis of 34 patients with complicated thoracic tumors who were treated by radical surgery from March 2016 to June 2019 was made. According to whether 3D reconstruction and 3D printing was used, the patients were divided into research group and control group. In the control group, preoperative evaluation was performed according to CT image data, and the operation plan was drawn up; in the research group, preoperative simulation and preoperative operation plan design were carried out according to 3D reconstruction and 3D printing technology. The operation time, change of operation approach, intraoperative blood loss, hospitalization time and postoperative complications were compared between the two groups. We also retrospectively reviewed additional 12 cases of unresectable complicated thoracic tumors. The above 34 patients who were treated by radical surgery were set as the resectable group. Three-dimensional reconstruction was performed for all cases. The tumor size, location, smoothness of tumor-vascular contact surface, close contact with adjacent organs were compared between these two groups. RESULTS: The 3D reconstruction and 3D printing model were successfully established. The indexes of operation time, change of incision approach and blood loss in the research group were lower than those in the control group (P<0.05). All the patients were followed up for 6 months, and there was no death, no tumor recurrence and metastasis in the two groups. In the unresectable group, the score of position and smoothness of tumor-vascular contact surface were significantly higher than that in the resectable group. CONCLUSIONS: 3D reconstruction and 3D printing can effectively help surgeons carry out accurate surgical treatment, reduce the operation time and bleeding, reduce the risk of surgery, and facilitate the postoperative rehabilitation of patients, which has the value of promotion and application. AME Publishing Company 2020-11 /pmc/articles/PMC7723599/ /pubmed/33313087 http://dx.doi.org/10.21037/atm-20-1791 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
Tan, Deli
Yao, Jie
Hua, Xing
Li, Jingyao
Xu, Zhou
Wu, Yi
Wu, Wei
Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors
title Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors
title_full Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors
title_fullStr Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors
title_full_unstemmed Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors
title_short Application of 3D modeling and printing technology in accurate resection of complicated thoracic tumors
title_sort application of 3d modeling and printing technology in accurate resection of complicated thoracic tumors
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723599/
https://www.ncbi.nlm.nih.gov/pubmed/33313087
http://dx.doi.org/10.21037/atm-20-1791
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