The cases of two female infants with persistent neonatal pulmonary hypertension are described. Combinations of pulmonary parenchymal lesions were present, including underdevelopment of alveoli and interstitial fibrosis as well as misalignment of lung vessels. As a result of the misalignment, the pulmonary veins joined the pulmonary arteries, rather than following a course away from them. One of the infants had additional congenital malformations. This syndrome should be considered in the evaluation of infants with persistent fetal circulation.
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http://dx.doi.org/10.1016/s0046-8177(86)80182-4 | DOI Listing |
Radiol Clin North Am
March 2025
Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, USA. Electronic address:
Pulmonary hypertensive changes are commonly seen by the surgical pathologist, but the majority represents secondary changes due to some process extrinsic to the lung. Some primary, or idiopathic, vascular diseases result in unique pathologic changes including the plexiform lesion and venous hypertensive changes. Thromboembolic disease also shows unique pathologic features.
View Article and Find Full Text PDFMed Phys
November 2024
Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA.
J Biomed Sci
November 2024
Department of Pediatric Surgery, Erasmus MC-Sophia, Rotterdam, The Netherlands.
Background: Alveolar capillary dysplasia with misalignment of pulmonary veins (ACD/MPV) is a fatal congenital lung disorder strongly associated with genomic alterations in the Forkhead box F1 (FOXF1) gene and its regulatory region. However, little is known about how FOXF1 genomic alterations cause ACD/MPV and what molecular mechanisms are affected by these mutations. Therefore, the effect of ACD/MPV patient-specific mutations in the FOXF1 gene on the molecular function of FOXF1 was studied.
View Article and Find Full Text PDFSleep Med Clin
December 2024
Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, The Anlyan Center, 300 Cedar Street, 455SE, New Haven, CT 06519, USA. Electronic address:
Phys Med Biol
October 2024
Division of Nuclear medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.
Positron emission tomography (PET) image quality can be affected by artifacts emanating from PET, computed tomography (CT), or artifacts due to misalignment between PET and CT images. Automated detection of misalignment artifacts can be helpful both in data curation and in facilitating clinical workflow. This study aimed to develop an explainable machine learning approach to detect misalignment artifacts in PET/CT imaging.
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