Characterization of Ventilatory Patterns in Diverse Respiratory Disorders via X-ray Velocimetry

Pulmonary diseases are heterogenous requiring improved respiratory diagnostics through advanced functional imaging technique. We aim to utilize X-ray Velocimetry (XV) for identifying characteristic ventilatory patterns in an assortment of respiratory diseases within a non-selected patient population. Fifteen symptomatic patients with chronic cough, desquamative interstitial pneumonia, post-COVID respiratory conditions, and pulmonary embolism (PE) were assessed using XV to identify disease-specific ventilation anomalies (Fig 1). Pulmonary function test, ventilation heterogeneity (VH) and defect% (VDP) where measured. Chronic cough was associated with a mild increase in ventilation within the upper lobes of the central airways. Desquamative interstitial pneumonia presented with a substantial decrease in ventilatory function in the left lung. Post-COVID cases showed notable functional decline in the peripheral lung zones, with compensatory increased central airway ventilation. PE cases displayed largely uniform lung ventilation, with isolated areas of reduced function. XV imaging offers a nuanced view of ventilatory function across various respiratory disorders, enabling the straightforward integration of functional lung imaging into clinical practice. This approach enriches patient management by providing additional data on lung function heterogeneity, supporting the adoption of XV in routine respiratory diagnostics. <fig><object-id>erj;64/suppl_68/PA1650/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa1650
Primary Topic
Respiratory Support and Mechanisms
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article
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article

Characterization of Ventilatory Patterns in Diverse Respiratory Disorders via X-ray Velocimetry

Tamás Ötvös, Jason P. Kirkness, Michal Šenitko, Trishul Siddharthan et al.
Respiratory Support and Mechanisms
article

Characterization of Ventilatory Patterns in Diverse Respiratory Disorders via X-ray Velocimetry

Tamás Ötvös, Jason P. Kirkness, Michal Šenitko, Trishul Siddharthan, Anna Šebová, František Šándor, Andrej Klepanec, Dušan Giertl
article en

Abstract

Pulmonary diseases are heterogenous requiring improved respiratory diagnostics through advanced functional imaging technique. We aim to utilize X-ray Velocimetry (XV) for identifying characteristic ventilatory patterns in an assortment of respiratory diseases within a non-selected patient population. Fifteen symptomatic patients with chronic cough, desquamative interstitial pneumonia, post-COVID respiratory conditions, and pulmonary embolism (PE) were assessed using XV to identify disease-specific ventilation anomalies (Fig 1). Pulmonary function test, ventilation heterogeneity (VH) and defect% (VDP) where measured. Chronic cough was associated with a mild increase in ventilation within the upper lobes of the central airways. Desquamative interstitial pneumonia presented with a substantial decrease in ventilatory function in the left lung. Post-COVID cases showed notable functional decline in the peripheral lung zones, with compensatory increased central airway ventilation. PE cases displayed largely uniform lung ventilation, with isolated areas of reduced function. XV imaging offers a nuanced view of ventilatory function across various respiratory disorders, enabling the straightforward integration of functional lung imaging into clinical practice. This approach enriches patient management by providing additional data on lung function heterogeneity, supporting the adoption of XV in routine respiratory diagnostics. <fig><object-id>erj;64/suppl_68/PA1650/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

University of Miami (US), University Hospital Bratislava (SK), Vinci (Slovakia) (SK), Comenius University Bratislava (SK)
Openalex Percentile: Top 63%
Respiratory Support and Mechanisms
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Characterization of Ventilatory Patterns in Diverse Respiratory Disorders via X-ray Velocimetry — Tamás Ötvös, Jason P. Kirkness, et al. · (2024) | TGRS Research Map | TGRS