Automated 3D segmentation of the aorta and pulmonary artery for predicting outcomes after thoracoscopic lobectomy in lung cancer patients
Journal
Frontiers in oncology
Journal Volume
12
Date Issued
2022
Author(s)
Lee, Hsin-Ying
Chung, Yu-Jung
Wang, Hao-Jen
Chen, Li-Wei
Lin, Yan-Ting
Lee, Yi-Chieh
Abstract
Preoperative 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 the correlation of short-term surgical outcomes and pulmonary artery/aorta (PA/Ao) diameter ratio measured by automated three-dimensional (3D) segmentation in lung cancer patients who underwent thoracoscopic lobectomy.
Subjects
aorta; computed tomography; lobectomy; lung cancer; pulmonary artery; pulmonary hypertension; segmentation
SDGs
Publisher
FRONTIERS MEDIA SA
Type
journal article