Central lung cancer: improving operability assessment through 3D modelling
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články, kazuistiky
PubMed
40490720
PubMed Central
PMC12147340
DOI
10.1186/s12890-025-03759-x
PII: 10.1186/s12890-025-03759-x
Knihovny.cz E-zdroje
- Klíčová slova
- 3D printing, Central lung tumours, Lung Cancer, Operability,
- MeSH
- 3D tisk * MeSH
- anatomické modely * MeSH
- lidé MeSH
- nádory plic * diagnostické zobrazování chirurgie patologie MeSH
- plíce diagnostické zobrazování MeSH
- počítačová rentgenová tomografie MeSH
- zobrazování trojrozměrné * metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- kazuistiky MeSH
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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Lu T, Yang X, Huang Y, et al. Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades. Cancer Manag Res. 2019;11:943–53. PubMed PMC
Nooreldeen R, Bach H. Current and future development in lung Cancer diagnosis. Int J Mol Sci. 2021;22:8661. PubMed PMC
Hsin Feng S, Yang ST. The new 8th TNM staging system of lung cancer and its potential imaging interpretation pitfalls and limitations with CT image demonstrations. Diagn Interv Radiol. 2019;25:270–9. PubMed PMC
Silberstein JL, Maddox MM, Dorsey P, et al. Physical models of renal malignancies using standard cross-sectional imaging and 3-dimensional printers: a pilot study. Urology. 2014;84(2):268–72. PubMed
Westerman ME, Matsumoto JM, Morris JM, et al. Three-dimensional printing for renal cancer and surgical planning. Eur Urol Focus. 2016;2(6):574–6. PubMed
Panesar SS, Magnetta M, Mukherjee D, et al. Patient-specific 3-dimensionally printed models for neurosurgical planning and education. Neurosurg Focus. 2019;47(6):E12. PubMed
Coles-Black J, Bolton D, Chuen J. Accessing 3D printed vascular phantoms for procedural simulation. Front Surg. 2021;7:626212. PubMed PMC
Fidanza A, Caggiari G, Di Petrillo F, et al. Three-dimensional printed models can reduce costs and surgical time for complex proximal humeral fractures: preoperative planning, patient satisfaction, and improved resident skills. J Orthop Traumatol. 2024;25(1):11. PubMed PMC
Perica ER, Sun Z. A Systematic review of three-dimensional printing in liver disease. J Digit Imaging. 2018;31(5):692–701. PubMed PMC
Pontiki AA, Rhode K, Lampridis S, et al. Three-dimensional printing applications in thoracic surgery. Thorac Surg Clin. 2023;33(3):273–81. PubMed
Wang JZ, Xiong NY, Zhao LZ, et al. Review fantastic medical implications of 3D-printing in liver surgeries, liver regeneration, liver transplantation and drug hepatotoxicity testing: A review. Int J Surg. 2018;56:1–6. PubMed
Yoon SH, Park S, Kang CM, Park IK, Goo JM. Personalized 3D-Printed model for informed consent for stage I lung cancer: A randomized pilot trial. Semin Thorac Cardiovasc Surg. 2019;31:316–8. PubMed
Seok J, Yoon S, Ryu CH, et al. A personalized 3D-Printed model for obtaining informed consent process for thyroid surgery: A randomized clinical study using a deep learning approach with Mesh-Type 3D modeling. J Pers Med. 2021;11(6):574. PubMed PMC
Hrubovčák J, Tulinský L, Pieš M, et al. The utilization of 3D printing in surgery as an innovative approach to preoperative planning. Rozhl Chir. 2024;103:305–12. PubMed
Gillaspie EA, Matsumoto JS, Morris NE, et al. From 3-Dimensional printing to 5-Dimensional printing: enhancing thoracic surgical planning and resection of complex tumors. Ann Thorac Surg. 2016;101(5):1958–62. PubMed PMC