Tulinský Lubomír, Hrubovčák Ján, Pieš Martin
Department of Surgery, University Hospital Ostrava, 17. listopadu 1790, Ostrava, 708 52, Czech Republic.
Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Syllabova 19, Ostrava, 703 00, Czech Republic.
BMC Pulm Med. 2025 Jun 9;25(1):287. doi: 10.1186/s12890-025-03759-x.
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.
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.
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.
本研究的目的是开发一种新颖的方法,用于创建包含肿瘤形态和周围结构的高度详细的肺叶三维物理模型,以改善对中央型肺肿瘤可切除性的评估。
开发了一种方法,该方法使用标准计算机断层扫描(CT)扫描来标记所需结构并生成用于创建物理模型的三维图像。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。我们的方法已成功整合到临床实践中,使多学科团队能够为中央型肺肿瘤患者做出明智的决策。我们已将物理模型的准备时间从100小时缩短至18小时。
采用3D打印技术的新方法增强了对中央型肺肿瘤可切除性的评估,从而有助于在患者管理方面做出更精确的决策。这种创新方法有可能通过减少并发症和优化治疗计划来改善患者预后。