Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease

Francisco Belchi; Mariam Pirashvili; Joy Conway; Michael Bennett; Ratko Djukanovic; Jacek Brodzki

doi:10.1038/s41598-018-23424-0

Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease

Francisco Belchi, Mariam Pirashvili, Joy Conway, Michael Bennett, Ratko Djukanovic, Jacek Brodzki^*

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

University of Southampton

Research output: Contribution to journal › Article › peer-review

Abstract

AbstractQuantitative 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.

Original language	English
Number of pages	0
Journal	Scientific Reports
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41598-018-23424-0
Publication status	E-pub ahead of print - 28 Mar 2018

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title = "Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease",

abstract = "AbstractQuantitative 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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AU - Belchi, Francisco

AU - Pirashvili, Mariam

AU - Conway, Joy

AU - Bennett, Michael

AU - Djukanovic, Ratko

AU - Brodzki, Jacek

PY - 2018/3/28

Y1 - 2018/3/28

N2 - AbstractQuantitative 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.

AB - AbstractQuantitative 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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DO - 10.1038/s41598-018-23424-0

M3 - Article

SN - 2045-2322

VL - 8

JO - Scientific Reports

JF - Scientific Reports

IS - 1

ER -

Lung Topology Characteristics in patients with Chronic Obstructive Pulmonary Disease

Abstract

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