-
Something wrong with this record ?
Central lung cancer: improving operability assessment through 3D modelling
L. Tulinský, J. Hrubovčák, M. Pieš
Language English Country England, Great Britain
Document type Journal Article, Case Reports
NLK
BioMedCentral
from 2001-12-01
BioMedCentral Open Access
from 2001
Directory of Open Access Journals
from 2001
Free Medical Journals
from 2001
PubMed Central
from 2001
Europe PubMed Central
from 2001
ProQuest Central
from 2009-01-01
Open Access Digital Library
from 2001-01-01
Open Access Digital Library
from 2001-09-01
Open Access Digital Library
from 2001-01-01
Medline Complete (EBSCOhost)
from 2001-01-01
Health & Medicine (ProQuest)
from 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2001
Springer Nature OA/Free Journals
from 2001-12-01
- MeSH
- Printing, Three-Dimensional * MeSH
- Models, Anatomic * MeSH
- Humans MeSH
- Lung Neoplasms * diagnostic imaging surgery pathology MeSH
- Lung diagnostic imaging MeSH
- Tomography, X-Ray Computed MeSH
- Imaging, Three-Dimensional * methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Case Reports 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.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc25015336
- 003
- CZ-PrNML
- 005
- 20250731090923.0
- 007
- ta
- 008
- 250708s2025 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12890-025-03759-x $2 doi
- 035 __
- $a (PubMed)40490720
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Tulinský, Lubomír $u Department of Surgery, University Hospital Ostrava, 17. listopadu 1790, Ostrava, 708 52, Czech Republic. tulinsky@email.cz $u Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Syllabova 19, Ostrava, 703 00, Czech Republic. tulinsky@email.cz $1 https://orcid.org/0000000331005990 $7 xx0224587
- 245 10
- $a Central lung cancer: improving operability assessment through 3D modelling / $c L. Tulinský, J. Hrubovčák, M. Pieš
- 520 9_
- $a 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.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a zobrazování trojrozměrné $x metody $7 D021621
- 650 _2
- $a plíce $x diagnostické zobrazování $7 D008168
- 650 12
- $a nádory plic $x diagnostické zobrazování $x chirurgie $x patologie $7 D008175
- 650 12
- $a anatomické modely $7 D008953
- 650 12
- $a 3D tisk $7 D066330
- 650 _2
- $a počítačová rentgenová tomografie $7 D014057
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a kazuistiky $7 D002363
- 700 1_
- $a Hrubovčák, Ján $u Department of Surgery, University Hospital Ostrava, 17. listopadu 1790, Ostrava, 708 52, Czech Republic $u Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Syllabova 19, Ostrava, 703 00, Czech Republic
- 700 1_
- $a Pieš, Martin $u Department of Cybernetics and Biomedical Engineering, FEECS, VSB-TUO, 17. listopadu 2172/15, Ostrava-Poruba, 708 00, Czech Republic
- 773 0_
- $w MED00008206 $t BMC pulmonary medicine $x 1471-2466 $g Roč. 25, č. 1 (2025), s. 287
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/40490720 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20250708 $b ABA008
- 991 __
- $a 20250731090917 $b ABA008
- 999 __
- $a ok $b bmc $g 2366283 $s 1252461
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2025 $b 25 $c 1 $d 287 $e 20250609 $i 1471-2466 $m BMC pulmonary medicine $n BMC Pulm Med $x MED00008206
- LZP __
- $a Pubmed-20250708
