Background: A detonation of nuclear weapon (NW) is considered as one of the most devastating radiological scenarios in the list of modern global threats. An essential proportion of victims in a mass casualty radiation event may require an immediate medical care due to radiation combined injuries (RCI). Surprisingly, there is a lack of clear guidance for quantitative prognosis of the spatial distribution of expected RCI casesin a given nuclear explosion scenario.
Purpose: This work is aimed at the presentation of a new, improved model, allowing more confident evaluation of the contributions from different NW destructive forces to RCI formation, thus leading to more accurate approximation of the zone around the epicenter for a guided search for RCI cases.
Materials And Methods: The model is made compatible with a classic approach and provides the estimates of radial distance from the epicenter, at which NW explosion can produce RCI. Mathematical formalism comprises a set of equations for the reciprocal assessment of a distance-effect for radiation dose (separately for neutrons and gamma-rays), thermal wave and blast shock wave depending on the NW type, detonation yield and altitude, environmental conditions (i.e. season) and shielding factors. The model's capabilities were demonstrated using an example of the RCI grade causing a profound operational performance decrement of military personnel in two marginal scenarios: Troops deployed in an open area or a tank crew.
Results: A remarkable difference in the expected radial zones of possible RCI occurrence was found between the actions of a 'historical' atomic bomb, thermonuclear weapons, and low-yield neutron munitions, also with a noticeable impact of the season factor (summer/winter). For a tank crew the clinically manageable RCI are possible only in very high yield explosion scenarios, while the damage caused by radiation alone possess much higher risk.
Conclusions: Suggested formalism may provide guidance for a preliminary planning of countermeasures, targeting of radiation reconnaissance, and clarification of triage results in a broad range of radiological scenarios based on NW detonation. Further improvement of the model is possible by considering neutrons' and gamma-rays' relative biological efficacy, possible shielding factors, and a synergetic effect of NW's destructive forces.
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http://dx.doi.org/10.1080/09553002.2021.1998707 | DOI Listing |
Int J Lang Commun Disord
December 2024
Hearing, Speech & Language Center, Sheba Medical Center, Tel Hashomer, Israel.
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Sci Rep
December 2024
Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Despite decades of improvements in cytotoxic therapy, the current standard of care for locally advanced pancreatic cancer (LAPC) provides, on average, only a few months of survival benefit. Stereotactic Body Radiation Therapy (SBRT), a technique that accurately delivers high doses of radiation to tumors in fewer fractions, has emerged as a promising therapy to improve local control of LAPC; however, its effects on the tumor microenvironment and hypoxia remain poorly understood. To explore how SBRT affects pancreatic tumors, we combined an orthotopic mouse model of pancreatic cancer with an intravital microscopy platform to visualize changes to the in vivo tumor microenvironment in real-time.
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December 2024
School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness of ICIs for patients at the same TNM stage remains a challenge. In this study, we first combined multi-omics data (mRNA, lncRNA, miRNA, DNA methylation, and somatic mutations) and 10 clustering algorithms, successfully identifying two distinct cancer subtypes (CSs) (CS1 and CS2).
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December 2024
Department of Bioengineering, University of California San Diego Jacobs School of Engineering, La Jolla, CA, USA.
The Restriction Spectrum Imaging restriction score (RSIrs) has been shown to improve the accuracy for diagnosis of clinically significant prostate cancer (csPCa) compared to standard DWI. Both diffusion and T properties of prostate tissue contribute to the signal measured in DWI, and studies have demonstrated that each may be valuable for distinguishing csPCa from benign tissue. The purpose of this retrospective study was to (1) determine whether prostate T varies across RSI compartments and in the presence of csPCa, and (2) evaluate whether csPCa detection with RSIrs is improved by acquiring multiple scans at different TEs to measure compartmental T (cT).
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