Smelt, JL; Suri, T; Valencia, O; Jahangiri, M; Rhode, K; Nair, A; Bille, A
(2019)
Operative planning in Thoracic Surgery: A pilot study comparing imaging techniques and 3D printing.
Ann Thorac Surg, 107 (2).
pp. 401-406.
ISSN 1552-6259
https://doi.org/10.1016/j.athoracsur.2018.08.052
SGUL Authors: Jahangiri, Marjan
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Abstract
BACKGROUND: Careful preoperative planning in thoracic surgery is essential for positive outcomes especially in video assisted thoracic surgery (VATS) where palpation and 3-dimensional imaging is restricted. The objective of this study was to evaluate the ability of different imaging techniques such as Computerized Tomography (CT) scanning, maximal intensity projection (MIP) imaging, 3-dimensional (3D) reconstruction as well as 3D printing, to define the anatomy of the hilar structures prior to anatomical lung resection. METHODS: All patients undergoing elective lung resections by VATS for cancer under a single surgeon were identified over a three-month period. A single surgeon was asked to record the number of pulmonary artery branches supplying the lobe to be resected using the preoperative CT scan, MIP images and 3D reconstructed CT images. 3 patients had their lung hilum printed. These were then compared to the intraoperative findings. RESULTS: 16 patients had their preoperative imaging analyzed. A further 3 patients had their lung hilum 3D printed. Although not statistically significant, the 3D prints of the hilum were found to be the most accurate measurement with a correlation of 0.92. CT, 3D reconstructed CT and MIP images tended to under recognize the number of arterial branches and therefore scored between 0.26 and 0.39 in terms of absolute agreement with the number of arteries found at operation. CONCLUSIONS: 3D printing in the planning of thoracic surgery may suggest a benefit over contemporary available imaging modalities and the use of 3D printing in practicing operations is being established.
Item Type: | Article |
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Additional Information: | © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Keywords: | 3D Imaging, 3D Printing, Education, Multimodal Imaging, Thoracic Surgery, Respiratory System, 1103 Clinical Sciences, 1102 Cardiovascular Medicine And Haematology |
SGUL Research Institute / Research Centre: | Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) |
Journal or Publication Title: | Ann Thorac Surg |
ISSN: | 1552-6259 |
Language: | eng |
Publisher License: | Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0 |
PubMed ID: | 30316856 |
Go to PubMed abstract | |
URI: | https://openaccess.sgul.ac.uk/id/eprint/110290 |
Publisher's version: | https://doi.org/10.1016/j.athoracsur.2018.08.052 |
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