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

IF 2.1 3区医学 Q3 RESPIRATORY SYSTEM

Journal of thoracic disease Pub Date : 2025-02-28 Epub Date: 2025-01-23 DOI:10.21037/jtd-24-1406

Osamu Noritake, Shoji Okado, Yuka Kadomatsu, Harushi Ueno, Taketo Kato, Shota Nakamura, Tetsuya Mizuno, Toyofumi Fengshi Chen-Yoshikawa

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引用次数: 0

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 coincidence rate of PA, PV, and Br between 3D images based on non-enhanced CT and enhanced CT was 70% for the right lung and 65% for the left lung. The coincidence rate of PA, PV, and Br between 3D images based on non-enhanced CT and actual surgical findings was 100% for the right middle, right lower, and left lower lobes, but 50% for the right upper lobe and 60% for the left upper lobe.

Conclusions: The 3D images of the lungs based on non-enhanced CT showed that the right middle lobe and both lower lobes were correctly depicted. The right and left upper lobes were poorly visualized using non-enhanced CT, while the right upper lobe was poorly visualized using contrast-enhanced CT.

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非增强计算机断层扫描三维图像分析构建肺结构的准确性。

背景：关于肺的三维（3D）图像使用非增强计算机断层扫描（CT）的论文很少。本研究旨在探讨肺三维图像的准确性使用非增强CT。方法：研究于2022年3月至12月，每个肺叶连续10例，共50例。术前2个月内均行非增强和增强CT检查。使用三维图像分析系统（SYNAPSE VINCENT）获得肺动脉（PA）、肺静脉（PV）和支气管（Br）的三维图像。该系统根据非增强和增强ct自动生成3D图像，然后相互比较，并与实际手术结果进行比较。结果：右肺非增强CT与增强CT三维图像PA、PV、Br符合率分别为70%和65%。非增强CT三维图像的PA、PV、Br与实际手术表现的符合率为：右侧中叶、右侧下叶和左侧下叶为100%，右侧上叶为50%，左侧上叶为60%。结论：基于非增强CT的肺三维图像显示右肺中叶和双肺下叶被正确描绘。非增强CT显示左、右上叶较差，增强CT显示右上叶较差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of thoracic disease RESPIRATORY SYSTEM-

CiteScore

4.60

自引率

4.00%

发文量

254

期刊介绍： The Journal of Thoracic Disease (JTD, J Thorac Dis, pISSN: 2072-1439; eISSN: 2077-6624) was founded in Dec 2009, and indexed in PubMed in Dec 2011 and Science Citation Index SCI in Feb 2013. It is published quarterly (Dec 2009- Dec 2011), bimonthly (Jan 2012 - Dec 2013), monthly (Jan. 2014-) and openly distributed worldwide. JTD received its impact factor of 2.365 for the year 2016. JTD publishes manuscripts that describe new findings and provide current, practical information on the diagnosis and treatment of conditions related to thoracic disease. All the submission and reviewing are conducted electronically so that rapid review is assured.