ArticleScientific reports2018
Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Image complexity-based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning.Scientific reports · 2025Article
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- Novel imaging diagnosis of neuropsychiatric systemic lupus erythematosus using topological data analysis: A retrospective study.PloS one · 2025Article
- The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia.PLoS computational biology · 2023Article
- Persistent homology analysis distinguishes pathological bone microstructure in non-linear microscopy images.Scientific reports · 2023Article
- A topological classifier to characterize brain states: When shape matters more than variance.PloS one · 2023Article
- Multiscale topology characterizes dynamic tumor vascular networks.Science advances · 2022Article
- Topological data analysis in biomedicine: A review.Journal of biomedical informatics · 2022Review
- Novel Insights intoJournal of fungi (Basel, Switzerland) · 2022Review
- CT Radiomic Features of Superior Mesenteric Artery Involvement in Pancreatic Ductal Adenocarcinoma: A Pilot Study.Radiology · 2021Article
- Multiparameter persistent homology landscapes identify immune cell spatial patterns in tumors.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Radiomics approach for survival prediction in chronic obstructive pulmonary disease.European radiology · 2021Article
- Comprehensive Analysis of Heat and Water Exchanges in the Human Lungs.Frontiers in physiology · 2021Article
- Deep Small Bowel Segmentation with Cylindrical Topological Constraints.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020Article
- The shape of things to come: Topological data analysis and biology, from molecules to organisms.Developmental dynamics : an official publication of the American Association of Anatomists · 2020Review
- Modeling of the Transport and Exchange of a Gas Species in Lungs With an Asymmetric Branching Pattern. Application to Nitric Oxide.Frontiers in physiology · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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