Can tracheobronchial tree and luminal descriptors be used as objective imaging biomarkers in COPD? - Milan 2023

Deep learning, new technologies and biomarkers in imaging

Chair(s): Elzbieta Magdalena Grabczak, Gergely Szabo

Session type: Poster session

Can tracheobronchial tree and luminal descriptors be used as objective imaging biomarkers in COPD?

Rodrigo Nava

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Dynamic chest radiography evaluation of the effects of tiotropium/olodaterol combination therapy in COPD: EMBODY study protocol

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CT-quantified pulmonary artery volume associates independently with higher mortality in smokers with and without COPD

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Use of dynamic chest radiographic measurements to estimate total lung capacity in patients with respiratory disease

Fred Fyles

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Correlation between ventilation heterogeneity and virtual scintigraphy through Functional Respiratory Imaging (FRI)

Hosein Sadafi

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Deep learning enables non-invasive estimation of mean pulmonary arterial pressure from PREFUL-MRI

Maximilian Zubke

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Machine learning applied to chest x-rays to support the diagnosis of pulmonary tuberculosis

Marcelo Fouad Rabahi

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Bioradiomic SPECT-CT quantification of active lung inflammation is influenced by heterogeneity of lung tissue

Benjamin Welham

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The comparison of quantitative CT features of COPD and pre-COPD: results from a real-life study

Selin Ercan

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Computational fluid dynamics analysis of computed tomography images in asthma

So Ri Kim

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Using CT to detect large airway collapse in severe asthma: worth the extra effort?

Wei Ling Chia

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Multisite implementation of 129Xe-MRI assessment of COPD disease progression: XeCITE early results

Alexandre Coimbra

Poster

Abstract

Can tracheobronchial tree and luminal descriptors be used as objective imaging biomarkers in COPD?

Rodrigo Nava

Poster

Abstract

CT-based assessment of alveolar collapse using attenuation histograms in inspiration and expiration: Evaluation as a prognostic imaging marker in IPF patients

Sarah Scharm

Poster

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PCD-AID: artificial intelligence diagnosis of primary ciliary dyskinesia

Mathieu Bottier

Poster

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Utilising computer vision artificial intelligence to identify defects in airway ciliary motility and mucociliary clearance

Mathieu Bottier

Poster

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Differentiating diffuse cystic lung disease and emphysema cases from normal using Artificial Intelligence

Ronan Hearne

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CDN Connection Issue

The ERS International Congress 2023, Milan

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