Central lung cancer: improving operability assessment through 3D modelling

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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Publication Details

Journal
BMC Pulmonary Medicine
Published
2025-06-09
DOI
https://doi.org/10.1186/s12890-025-03759-x
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Central lung cancer: improving operability assessment through 3D modelling

Ján Hrubovčák, Ľubomír Tulinský, Martin Pieš
BMC Pulmonary Medicine
Radiomics and Machine Learning in Medical Imaging
article

Central lung cancer: improving operability assessment through 3D modelling

Ján Hrubovčák, Ľubomír Tulinský, Martin Pieš
article en

Abstract

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.

BMC Pulmonary MedicineVol. 25(1)
VSB - Technical University of Ostrava (CZ), University of Ostrava (CZ), University Hospital Ostrava (CZ)
Good health and well-being
Openalex Percentile: Top 80%
Radiomics and Machine Learning in Medical Imaging
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