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http://dx.doi.org/10.4103/0970-258X.290284 | DOI Listing |
Odontology
March 2025
Department of Dentistry, All India Institute of Medical Sciences, Bathinda, India.
Several drawbacks of 2D radiography have been addressed by the use of 3D modalities such as CT/CBCT. However, these are associated with significantly increased radiation exposure. Hence, the role of MRI in routine orthodontic planning needs to be further investigated.
View Article and Find Full Text PDFJ Orofac Orthop
March 2025
Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, 769008, Sector 1, Rourkela, Odisha, India.
Objectives: The primary objective of this study was to investigate the feasibility of magnetic resonance imaging (MRI) usage over computed tomography (CT) to perform three-dimensional (3D) cephalometric analyses. The secondary objective is to find intra- and interobserver reliability of manual cephalometric landmarks identification in both CT and MRI scan data.
Methods: Data from 40 patients were used in this study, with orthodontists manually identifying 37 landmarks on both CT and MRI scans.
Background: Low dose corticosteroids (e.g., 6 mg dexamethasone) have been shown to reduce mortality for hypoxic COVID-19 patients.
View Article and Find Full Text PDFFront Pediatr
February 2025
Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Objective: 1st: To determine the association of cerebral oxygenation (rcSO) and concurrent neurodevelopmental outcomes between neonates with congenital heart disease (CHD) and healthy controls. 2nd: To examine the association of cerebral fractional tissue oxygen extraction (FTOE) with concurrent neurodevelopmental outcomes in the two groups. 3rd: To evaluate how type and severity of CHD influenced the associations in our primary and secondary objectives.
View Article and Find Full Text PDFPhys Rev Lett
February 2025
CERN, Geneva, Switzerland.
This Letter presents a search for highly ionizing magnetic monopoles in 262 μb^{-1} of ultraperipheral Pb+Pb collision data at sqrt[s_{NN}]=5.36 TeV collected by the ATLAS detector at the LHC. A new methodology that exploits the properties of clusters of hits reconstructed in the innermost silicon detector layers is introduced to study highly ionizing particles in heavy-ion data.
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