An overview of existing approaches on assessing and evaluating the radiological situation in the late phase of a nuclear accident is given in this paper. Special attention is paid to the weak points of existing approaches and to problems to be solved in the future. Assessment of the radiological situation can be based on both monitoring data and model predictions. Approaches have been developed for many years in both categories and have meanwhile reached some kind of maturity and also operational applicability. Nevertheless, some areas exist where significant improvements could be achieved in the near future, e.g. by combining monitoring data and model predictions, by improving the modelling of urban areas or by improving existing radioecological models.
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http://dx.doi.org/10.1093/rpd/nch266 | DOI Listing |
J Neuroimaging
January 2025
Department of Neurology, Baylor College of Medicine, Houston, Texas, USA.
Intracranial pressure (ICP) monitoring is a cornerstone of neurocritical care in managing severe brain injury. However, current invasive ICP monitoring methods carry significant risks, including infection and intracranial hemorrhage, and are contraindicated in certain clinical situations. Additionally, these methods are not universally available.
View Article and Find Full Text PDFRofo
January 2025
Faculty of Medicine and University Hospital Cologne, Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
Online survey about the current status of CT protocols in hepatocellular carcinoma (HCC) in the year 2023/2024. Moreover, the usage of structured reporting using LI-RADS and mRECIST was surveyed and the results were compared with a survey from 2020.Radiologists working in outpatient or inpatient care in Germany were invited.
View Article and Find Full Text PDFJ Bone Oncol
February 2025
School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362001, China.
Objective: Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. However, due to the low distinguishability of tumors and surrounding tissues in images, existing methods lack accuracy and stability. This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation.
View Article and Find Full Text PDFJ Biol Methods
October 2024
Indian Council of Medical Research-National Institute of Occupational Health, Ahmedabad, Gujarat 380016, India.
Background: Earlier studies conducted by Indian researchers have demonstrated that the elimination of tuberculosis (TB) requires proactive control of silicosis, given India's significant burden of silicosis and its common comorbidity, pulmonary TB, also known as silicotuberculosis. The TB Control Indian Health Authority saw human immunodeficiency virus infection, diabetes, and malnutrition, among others, as important risk factors for case findings, but overlooked the significance of silicosis. Silicotuberculosis control is often confronted with challenges of detecting microorganisms, uncertain treatment outcomes, a higher likelihood of mono-drug and multi-drug resistance, and increased mortality due to treatment failure.
View Article and Find Full Text PDFRadiol Case Rep
March 2025
Department of Psychiatry, Datta Meghe Institute of Medical Sciences, Sawangi, Wardha, Maharashtra 442001, India.
Gastroschisis represents a congenital malformation characterized by the herniation of abdominal contents through a defect in the abdominal wall, predominantly situated to the right of the umbilical cord. The defect is characterized by the absence of a covering membrane, resulting in the free floating of extruded abdominal contents. Major complications associated with this condition include stillbirth, preterm delivery, and intrauterine growth restriction.
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