Showing 4 Abstracts.
To develop an optimized AI model to automatically segment lung volumes from pulmonary magnetic resonance images (MRI) and generate tidal volume calculations for neonatal patients with chronic lung disease of prematurity (bronchopulmonary dysplasia, BPD). Read More
Meeting name: SPR 2024 Annual Meeting & Postgraduate Course , 2024
Authors: Mahalingam Neeraja, Bates Alister, Higano Nara, Gunatilaka Chamindu, Woods Jason, Somasundaram Elanchezhian
Keywords: Bronchopulmonary Dysplasia, MRI, Deep Learning
BPD is associated with pulmonary hypertension (PH) and patients with BPD-associated PH (BPD-PH) have increased morbidity and mortality. Noninvasive assessment of BPD-PH has traditionally relied on echocardiograms. However, recent advances have allowed the use of MRI in the assessment of respiratory and cardiac disease in infants with BPD. In adults and older pediatric patients, increased left ventricular eccentricity index (MR-EI) and decreased MRI septal curvature correlate with increased mean pulmonary artery pressure and pulmonary vascular resistance. The current study sought to determine the relationship of MR-EI and septal curvature in neonates with BPD and BPD-PH with short term respiratory outcomes and need for pulmonary vasodilator therapies. Read More
Meeting name: SPR 2020 Annual Meeting & Postgraduate Course , 2020
Authors: Critser Paul, Higano Nara, Kingma Paul, Fleck Robert, Lang Sean, Hirsch Russel, Taylor Michael, Woods Jason
Tracheomalacia (TM) is a common morbidity associated with prematurity and manifests as dynamic collapse of the trachea lumen due to cyclic changes of intrathoracic pressure during breathing. Premature infants often have elevated work of breathing (WOB) related to their distal, small airway and lung abnormalities. The large airway contribution to WOB can be determined using computational fluid dynamics (CFD), which is a well-known technique to calculate the resistance and WOB in the human airway. However, previous studies are based on static airway geometry without motion. Using the novel technique of ultrashort echo time (UTE) magnetic resonance imaging (MRI), the tidal volume and airway motion can be used to create a dynamic model for use in CFD. Our aim is to calculate the estimated WOB in a dynamic trachea with neonatal TM compared with a stable, static trachea. Read More
Meeting name: SPR 2020 Annual Meeting & Postgraduate Course , 2020
Authors: Gunatilaka Chamindu, Bates Alister, Higano Nara, Hahn Andrew, Fain Sean, Hysinger Erik, Fleck Robert, Woods Jason
Keywords: Bronchopulmonary Dysplasia, MRI, Prematurity
Qualitative scores of parenchymal disease severity from 3D lung MRI predict clinical outcomes such as duration of respiratory support in infants with BPD. However, current methods suffer from low signal-to-noise ratio (SNR) and motion-related blurring, reducing interpretability and diagnostic confidence. The inherently quiet zero echo time (ZTE) MRI with deep learning reconstruction (DLR) may improve diagnostic reliability but has not been evaluated in infants. This study assessed the feasibility of ZTE MRI and image quality improvements with DLR in infants with BPD. Read More
Meeting name: IPR 2026 Congress , 2026
Authors: Munidasa Samal, Bates Alister, Kingma Paul, Hysinger Erik, Woods Jason, Willmering Matthew, Muslu Yavuz, De Arcos Jose, Morin Cara, Kocaoglu Murat, Fleck Robert, Pednekar Amol, Tanimoto Aki, Higano Nara
Keywords: Neonatal, Deep Learning, Pulmonary