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Dataset Information

Accuracy of lung structure constructed by three-dimensional image analysis with non-enhanced computed tomography.


ABSTRACT:

Background

There are few papers on three-dimensional (3D) images of the lungs using non-enhanced computed tomography (CT). This study aimed to investigate the accuracy of 3D images of the lungs using non-enhanced CT.

Methods

The study included 10 consecutive cases for each lung lobe, totalling 50 cases between March and December 2022. The patients had both non-enhanced and contrast-enhanced CT taken within 2 months before surgery. A 3D image analysis system (SYNAPSE VINCENT) was used to obtain 3D images of the pulmonary artery (PA), pulmonary vein (PV), and bronchus (Br). The system automatically generated 3D images based on both non-enhanced and contrast-enhanced CTs, which were then compared with each other and also with actual surgical findings.

Results

The coincid

SUBMITTER: Noritake O 

PROVIDER: S-EPMC11898399 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature