Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.23736/S2724-5691.21.09386-2 | DOI Listing |
Radiat Environ Biophys
January 2025
Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Hassan First University, Settat, Morocco.
This study assesses radiation doses in multi-slice computed tomography (CT) using epoxy resin and PMMA phantoms, focusing on the relationship between TAR (tissue air ratio) and kilovoltage peak (kVp). The research was conducted using a Hitachi Supria 16-slice CT scanner. An epoxy resin phantom was fabricated from commercially available materials, to simulate human tissue.
View Article and Find Full Text PDFUnlabelled: This study investigates the anatomical prerequisites that could contribute to the development of this condition.
Material And Methods: Using multi-slice computed tomography (MSCT), the study examined the structure and relationships of key anatomical features, including the alveolar process, sinus wall thickness, and the position of the teeth in relation to the maxillary sinus.
Results: The results revealed that the lower wall of the maxillary sinus is predominantly formed by the alveolar process, with significant variability in wall thickness, especially between the central and lateral regions.
J Cachexia Sarcopenia Muscle
February 2025
Clinical Surgery, University of Edinburgh, Royal Infirmary of Edinburgh, Edinburgh, Scotland, UK.
Eur Radiol
December 2024
Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy.
Objectives: To develop a deep-learning model for supervised classification of myocardial iron overload (MIO) from magnitude T2* multi-echo MR images.
Materials And Methods: Eight hundred twenty-three cardiac magnitude T2* multi-slice, multi-echo MR images from 496 thalassemia major patients (285 females, 57%), labeled for MIO level (normal: T2* > 20 ms, moderate: 10 ≤ T2* ≤ 20 ms, severe: T2* < 10 ms), were retrospectively studied. Two 2D convolutional neural networks (CNN) developed for multi-slice (MS-HippoNet) and single-slice (SS-HippoNet) analysis were trained using 5-fold cross-validation.
Rev Cardiovasc Med
November 2024
Department of Cardiology, Ludwig-Maximilians-University, 80539 Munich, Germany.
Background: Coronary calcification is a well-established risk factor for cardiovascular events. This retrospective study sought to determine the predictive value of coronary calcification in a specific group of patients with chronic kidney disease.
Methods: We included 1094 asymptomatic patients (724 males, 370 females, age 62 ± 9.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!