Showing 2 Abstracts.
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
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