Central lung cancer: improving operability assessment through 3D modelling.

IF 2.8 3区医学 Q2 RESPIRATORY SYSTEM

BMC Pulmonary Medicine Pub Date : 2025-06-09 DOI:10.1186/s12890-025-03759-x

Lubomír Tulinský, Ján Hrubovčák, Martin Pieš

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Abstract

Background: The objective of this study was to develop a novel method for creating highly detailed three-dimensional physical models of lung lobes, incorporating tumour morphology and surrounding structures, with the aim of improving the assessment of operability for central lung tumours.

Case presentation: A method was developed that uses standard computed tomography (CT) scans to mark the desired structures and generate a three-dimensional image for physical model creation. The generated STL files can be seamlessly integrated into virtual reality, allowing the sharing of selected CT scan data. Our approach has been successfully integrated into clinical practice, enabling multidisciplinary teams to make informed decisions for patients with central lung tumours. We have reduced the preparation time of physical models from 100 h to 18 h.

Conclusions: The novel method, which employs 3D printing technology, has enhanced the assessment of operability for central lung tumours, thereby facilitating more precise decisions regarding patient management. This innovative approach has the potential to enhance patient outcomes by reducing complications and optimizing treatment planning.

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中心性肺癌：通过三维建模提高可操作性评估。

背景：本研究的目的是开发一种新的方法来创建高度详细的肺叶三维物理模型，包括肿瘤形态和周围结构，目的是提高中央肺肿瘤的可操作性评估。案例介绍：开发了一种方法，该方法使用标准计算机断层扫描（CT）扫描来标记所需的结构并生成用于物理模型创建的三维图像。生成的STL文件可以无缝集成到虚拟现实中，允许共享选定的CT扫描数据。我们的方法已成功地整合到临床实践中，使多学科团队能够为中枢性肺肿瘤患者做出明智的决定。我们将物理模型的准备时间从100小时减少到18小时。结论：采用3D打印技术的新方法提高了中央性肺肿瘤的可操作性评估，从而有助于更精确的患者管理决策。这种创新的方法有可能通过减少并发症和优化治疗计划来提高患者的预后。

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

BMC Pulmonary Medicine RESPIRATORY SYSTEM-

CiteScore

4.40

自引率

3.20%

发文量

423

审稿时长

6-12 weeks

期刊介绍： BMC Pulmonary Medicine is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of pulmonary and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.