Infants admitted to the neonatal intensive care unit (NICU) often suffer from multifaceted pulmonary morbidities that are not well understood. Ultrashort echo time (UTE) magnetic resonance imaging (MRI) is a promising technique for pulmonary imaging in this population without requiring exposure to ionizing radiation. The aims of this study were to investigate the effect of neonatal pulmonary disease on R * and tissue density and to utilize numerical simulations to evaluate the effect of different alveolar structures on predicted R *.This was a prospective study, in which 17 neonatal human subjects (five control, seven with bronchopulmonary dysplasia [BPD], five with congenital diaphragmatic hernia [CDH]) were enrolled. Twelve subjects were male and five were female, with postmenstrual age (PMA) at MRI of 39.7 ± 4.7 weeks. A 1.5T/multiecho three-dimensional UTE MRI was used. Pulmonary R * and tissue density were compared across disease groups over the whole lung and regionally. A spherical shell alveolar model was used to predict the expected R * over a range of tissue densities and tissue susceptibilities. Tests for significantly different mean R * and tissue densities across disease groups were evaluated using analysis of variance, with subsequent pairwise group comparisons performed using t tests. Lung tissue density was lower in the ipsilateral lung in CDH compared to both controls and BPD patients (both p < 0.05), while only the contralateral lung in CDH (CDHc) had higher whole-lung R * than both controls and BPD (both p < 0.05). R * differences were significant between controls and CDHc within all tissue density ranges (all p < 0.05) with the exception of the 80%-90% range (p = 0.17). Simulations predicted an inverse relationship between alveolar tissue density and R * that matches empirical human data. Alveolar wall thickness had no effect on R * independent of density (p = 1). The inverse relationship between R * and tissue density is influenced by the presence of disease globally and regionally in neonates with BPD and CDH in the NICU. LEVEL OF EVIDENCE: 2. TECHNICAL EFFICACY STAGE: 2.
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http://dx.doi.org/10.1002/jmri.27487 | DOI Listing |
Ann Nucl Med
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Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Dynamic positron emission tomography (PET) can be used to non-invasively estimate the blood flow of different organs via compartmental modeling. Out of different PET tracers, water labeled with the radioactive O isotope of oxygen (half-life of 2.04 min) is freely diffusable, and therefore, very well-suited for blood flow quantification.
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Department of Ophthalmology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150, Kubang Kerian, Kelantan, Malaysia.
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F1000Res
January 2025
Radiology, Thammasat University, meung, pathumtani, 12000, Thailand.
Objective: To compare iodine density (ID) and contrast-enhanced attenuation value (CEAV) from dual-layer spectral computed tomography (DLSCT) scans of lymphomatous, metastatic squamous cell carcinoma (SCCA), and normal cervical lymph nodes.
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Cureus
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School of Allied Health Sciences, Manav Rachna International Institute of Research and Studies, Faridabad, IND.
Introduction: Sleep deprivation (SD), stemming from a myriad of aetiologies, is a prevalent health condition frequently overlooked. It typically impairs memory consolidation and synaptic plasticity, potentially through neuroinflammatory mechanisms and adenosinergic signalling. It is still unclear whether the adenosine A1 receptor (A1R) modulates SD-induced neurological deficits in the hippocampus.
View Article and Find Full Text PDFBrain Commun
January 2025
Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 0AW, UK.
The extent to which glial cell turnover features in successful remyelination is unclear. In this study, the rat caudal cerebellar peduncle-ethidium bromide lesion model was used to profile oligodendroglial and microglial/macrophage cell death and proliferation dynamics over the course of repair. Lesioned and control tissue was co-labelled with antibody markers for cell identity, proliferation, and apoptosis (TUNEL assay), then imaged at full thickness using confocal microscopy and quantified using custom CellProfiler pipelines.
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