Late Breaking Abstract - Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis

Roberts, Michael; Kirov, K.; McLellan, Tom M.; Morgan, Evan H.; Kanavati, Fahdi; Gallagher, Darren; Molyneaux, Philip L.; Schönlieb, Carola-Bibane; Ruggiero, Alessandro; Thillai, Muhunthan

doi:10.1183/13993003.congress-2021.oa3951

Cited by 4 publications

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“…Lastly, R oberts et al [ 64 ] described a fully automated machine learning approach to quantify CT airway volumes in IPF patients. When applied to 31 unseen IPF patients with two CT scans each, the difference in median airway volume was observed to be larger in subjects with >10% change in FVC between the two scans (progressive) than those with <10% change (stable).…”

Section: Group 104: M-health/e-healthmentioning

confidence: 99%

ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology Assembly

et al. 2022

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It is a challenge to keep abreast of all the clinical and scientific advances in the field of respiratory medicine. This article contains an overview of laboratory-based science, randomised controlled trials and qualitative research that were presented during the 2021 European Respiratory Society International Congress within the sessions from the five groups of the Assembly 1 – Respiratory clinical care and physiology. Selected presentations are summarised from a wide range of topics: clinical problems, rehabilitation and chronic care, general practice and primary care, electronic/mobile health (e-health/m-health), clinical respiratory physiology, exercise and functional imaging.

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Section: Group 104: M-health/e-healthmentioning

confidence: 99%

ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology Assembly

et al. 2022

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“…Recent evidence suggests that small airways disease may be a feature of idiopathic pulmonary fibrosis (IPF) [ 43 ]. In a late-breaking abstract presented at the congress, a multistage convolutional neural network to perform airway segmentation from CT volume was applied to 31 IPF patients [ 44 ]. This software showed that in comparison with “stable IPF” patients, “progressive” disease is characterised by larger increases in median airway sizes and larger declines in lung volumes.…”

Section: Group 1402: Imagingmentioning

confidence: 99%

ERS International Congress 2021: highlights from the Clinical Techniques, Imaging and Endoscopy Assembly

et al. 2022

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This manuscript summarises the highlights from the virtual European Respiratory Society's “Clinical techniques, imaging and endoscopy” Assembly 14 presented at the 2021 European Respiratory Society International Congress. Cutting-edge innovative developments in both diagnostic approaches and therapeutic strategies in patients with lung cancer, interstitial lung disease, obstructive airway disorders and infectious diseases were presented on this year's interactive congress platform. In this manuscript, the Assembly 14 subgroups summarise the key take home messages given new research outcomes and place them in the context of the current knowledge.

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AI and Point of Care Image Analysis for COVID-19

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et al. 2022

Artificial Intelligence in Covid-19

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Late Breaking Abstract - Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis

Cited by 4 publications

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ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology Assembly

ERS International Congress 2021: highlights from the Respiratory Clinical Care and Physiology Assembly

ERS International Congress 2021: highlights from the Clinical Techniques, Imaging and Endoscopy Assembly

AI and Point of Care Image Analysis for COVID-19

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