null Ronald Dandurand, MD
respiratory oscillometry • quantitative imaging • alpha-1 antitrypsin deficiency • phenotyping • real-world research • home monitoring • artificial intelligence
My research interests lie in the phenotyping of asthma, chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD) subjects drawn from community practice. My team applies conventional and advanced physiology and imaging techniques and genetic screening for alpha-1 antitrypsin deficiency to improve both sensitivity and specificity of disease detection. Specifically, I work with other centres to standardize whole-breath oscillometry and develop novel intra-breath oscillometry parameters, novel CT scanning biomarkers and new lung function home monitoring technologies.
Savadjiev P, et al. Improved Detection of Chronic Obstructive Pulmonary Disease at Chest CT Using the Mean Curvature of Isophotes. Radiology: Artificial Intelligence. 2022;4(1).
Kouri A, Dandurand RJ, Usmani OS, Chow CW. Exploring the 175-year history of spirometry and the vital lessons it can teach us today. Eur Respir Rev. 2021;30:210081.
Cao X, et al. Effect of Simulated Obstructive Apnea on Thoracic Fluid Volume and Airway Narrowing in Asthma. Am J Respir Crit Care Med. 2021;203(7):908-10.
Eddy RL, Westcott A, Maksym GN, Parraga G, Dandurand RJ. Oscillometry and pulmonary magnetic resonance imaging in asthma and COPD. Physiol Rep. 2019;7(1):e13955.
Dandurand RJ, Lavoie JP, Lands LC, Hantos Z, Oscillometry Harmonisation Study G. Comparison of oscillometry devices using active mechanical test loads. ERJ Open Res. 2019;5(4).