Automated 3D segmentation of the aorta and pulmonary artery for predicting outcomes after thoracoscopic lobectomy in lung cancer patients

Automated 3D segmentation of the aorta and pulmonary artery for predicting outcomes after thoracoscopic lobectomy in lung cancer patients

BackgroundPreoperative two-dimensional manual measurement of pulmonary artery diameter in a single-cut axial view computed tomography (CT) image is a commonly used non-invasive prediction method for pulmonary hypertension. However, the accuracy may be unreliable. Thus, this study aimed to evaluate t...

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Bibliographic Details
Main Authors: Hsin-Ying Lee, Yu-Jung Chung, Hao-Jen Wang, Xu-Heng Chiang, Li-Wei Chen, Yan-Ting Lin, Yi-Chieh Lee, Hsao-Hsun Hsu, Yeun-Chung Chang, Chung-Ming Chen, Mong-Wei Lin, Jin-Shing Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Oncology
Subjects:
aorta
computed tomography
lobectomy
lung cancer
pulmonary artery
pulmonary hypertension
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1027036/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1027036/full

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