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Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography

Objective: The aim of this study is to acquire pulmonary CT (Computed tomography) angiographic data for the purpose of creating a three-dimensional reconstruction. Additionally, we aim to analyze the features and deviations of the branches in both pulmonary lobes. This information is intended to ser...

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Autores principales: Ma, Xiaochao, Lu, Tianyu, Qin, Da, Cai, Hongfei, Tang, Ze, Yang, Yue, Cui, Youbin, Wang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206427/
https://www.ncbi.nlm.nih.gov/pubmed/37234424
http://dx.doi.org/10.3389/fphys.2023.1156513
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author Ma, Xiaochao
Lu, Tianyu
Qin, Da
Cai, Hongfei
Tang, Ze
Yang, Yue
Cui, Youbin
Wang, Rui
author_facet Ma, Xiaochao
Lu, Tianyu
Qin, Da
Cai, Hongfei
Tang, Ze
Yang, Yue
Cui, Youbin
Wang, Rui
author_sort Ma, Xiaochao
collection PubMed
description Objective: The aim of this study is to acquire pulmonary CT (Computed tomography) angiographic data for the purpose of creating a three-dimensional reconstruction. Additionally, we aim to analyze the features and deviations of the branches in both pulmonary lobes. This information is intended to serve as a more comprehensive and detailed reference for medical professionals when conducting preoperative evaluations and devising surgical plans. Method: Between August 2019 and December 2021, 420 patients were selected from the thoracic surgery department at the First Hospital of Jilin University, and underwent pulmonary 64 channel contrast enhanced CT examinations (Philips ICT 256). The images were acquired at a 1.5 mm slice thickness, and the DCM files that complied with DICOM (Digital Imaging and Communications in Medicine) standards were analysed for 3D (three dimensional) reconstruction using Mimics 22.0 software. The reconstructed pulmonary artery models were assessed by attending chest surgeons and radiologists with over 10 years of clinical experience. The two-dimensional image planes, as well as the coronary and sagittal planes, were utilized to evaluate the arteries. The study analyzed the characteristics and variations of the branches and courses of pulmonary arteries in each lobe of the lungs, with the exception of the subsegmental arterial system. Two chest surgeons and two radiologists with professional titles-all of whom had over a decade of clinical experience-jointly evaluated the 3D models of the pulmonary artery and similarly assessed the characteristics and variations of the branches and courses in each lobe of the lungs. Results: Significant variations were observed in the left superior pulmonary artery across the 420 subjects studied. In the left upper lobe, the blood supply of 4 arteries accounted for 50.5% (n = 212), while the blood supply of 2 arteries in the left lower lobe was the most common, accounting for 79.5% (n = 334). The greatest variation in the right pulmonary artery was observed in the branch supply of the right upper lobe mediastinal artery. In the majority of cases (77.9%), there were two arteries present, which was the most common configuration observed accounting for 64% (n = 269). In the right inferior lobe of the lung, there were typically 2–4 arteries, with 2 arteries being the most common configuration (observed in 79% of cases, n = 332). Conclusion: The three-dimensional reconstruction of pulmonary artery CT angiography enables clear observation of the branches and distribution of the pulmonary artery while also highlighting any variations. This technique holds significant clinical value for preoperative assessments regarding lesions and blood vessels.
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spelling pubmed-102064272023-05-25 Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography Ma, Xiaochao Lu, Tianyu Qin, Da Cai, Hongfei Tang, Ze Yang, Yue Cui, Youbin Wang, Rui Front Physiol Physiology Objective: The aim of this study is to acquire pulmonary CT (Computed tomography) angiographic data for the purpose of creating a three-dimensional reconstruction. Additionally, we aim to analyze the features and deviations of the branches in both pulmonary lobes. This information is intended to serve as a more comprehensive and detailed reference for medical professionals when conducting preoperative evaluations and devising surgical plans. Method: Between August 2019 and December 2021, 420 patients were selected from the thoracic surgery department at the First Hospital of Jilin University, and underwent pulmonary 64 channel contrast enhanced CT examinations (Philips ICT 256). The images were acquired at a 1.5 mm slice thickness, and the DCM files that complied with DICOM (Digital Imaging and Communications in Medicine) standards were analysed for 3D (three dimensional) reconstruction using Mimics 22.0 software. The reconstructed pulmonary artery models were assessed by attending chest surgeons and radiologists with over 10 years of clinical experience. The two-dimensional image planes, as well as the coronary and sagittal planes, were utilized to evaluate the arteries. The study analyzed the characteristics and variations of the branches and courses of pulmonary arteries in each lobe of the lungs, with the exception of the subsegmental arterial system. Two chest surgeons and two radiologists with professional titles-all of whom had over a decade of clinical experience-jointly evaluated the 3D models of the pulmonary artery and similarly assessed the characteristics and variations of the branches and courses in each lobe of the lungs. Results: Significant variations were observed in the left superior pulmonary artery across the 420 subjects studied. In the left upper lobe, the blood supply of 4 arteries accounted for 50.5% (n = 212), while the blood supply of 2 arteries in the left lower lobe was the most common, accounting for 79.5% (n = 334). The greatest variation in the right pulmonary artery was observed in the branch supply of the right upper lobe mediastinal artery. In the majority of cases (77.9%), there were two arteries present, which was the most common configuration observed accounting for 64% (n = 269). In the right inferior lobe of the lung, there were typically 2–4 arteries, with 2 arteries being the most common configuration (observed in 79% of cases, n = 332). Conclusion: The three-dimensional reconstruction of pulmonary artery CT angiography enables clear observation of the branches and distribution of the pulmonary artery while also highlighting any variations. This technique holds significant clinical value for preoperative assessments regarding lesions and blood vessels. Frontiers Media S.A. 2023-04-27 /pmc/articles/PMC10206427/ /pubmed/37234424 http://dx.doi.org/10.3389/fphys.2023.1156513 Text en Copyright © 2023 Ma, Lu, Qin, Cai, Tang, Yang, Cui and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Ma, Xiaochao
Lu, Tianyu
Qin, Da
Cai, Hongfei
Tang, Ze
Yang, Yue
Cui, Youbin
Wang, Rui
Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography
title Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography
title_full Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography
title_fullStr Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography
title_full_unstemmed Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography
title_short Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography
title_sort analysis of pulmonary artery variation based on 3d reconstruction of ct angiography
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206427/
https://www.ncbi.nlm.nih.gov/pubmed/37234424
http://dx.doi.org/10.3389/fphys.2023.1156513
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