Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease
Quantitative features that can currently be obtained from medical imaging do not provide a complete picture of Chronic Obstructive Pulmonary Disease (COPD). In this paper, we introduce a novel analytical tool based on persistent homology that extracts quantitative features from chest CT scans to des...
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| Veröffentlicht in: | Scientific reports 2018-03, Vol.8 (1), p.5341-12, Article 5341 |
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| creator | Belchi, Francisco Pirashvili, Mariam Conway, Joy Bennett, Michael Djukanovic, Ratko Brodzki, Jacek |
| description | Quantitative features that can currently be obtained from medical imaging do not provide a complete picture of Chronic Obstructive Pulmonary Disease (COPD). In this paper, we introduce a novel analytical tool based on persistent homology that extracts quantitative features from chest CT scans to describe the geometric structure of the airways inside the lungs. We show that these new radiomic features stratify COPD patients in agreement with the GOLD guidelines for COPD and can distinguish between inspiratory and expiratory scans. These CT measurements are very different to those currently in use and we demonstrate that they convey significant medical information. The results of this study are a proof of concept that topological methods can enhance the standard methodology to create a finer classification of COPD and increase the possibilities of more personalized treatment. |
| doi_str_mv | 10.1038/s41598-018-23424-0 |
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| subjects | 639/705 692/308/2778 692/308/575 692/699/1785 Chronic obstructive pulmonary disease Computed tomography Homology Humanities and Social Sciences Lung diseases multidisciplinary Obstructive lung disease Patients Radiomics Respiration Science Science (multidisciplinary) Topology |
| title | Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease |
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