The Maxim's Electron Scatter Chamber (Maxim Chamber) was developed to obtain uniform dose distribution when applying electron beam (e-beam) irradiation to materials of irregular surface. This was achieved by placing a stainless steel mesh surrounding a cylindrical area where the target sample was placed. Upon contact with the mesh, electrons scatter and are directed onto the target from multiple angles, eliminating the e-beam linearity and resulting in a uniform dose distribution over the target surface. The effect of irradiation in the Maxim Chamber on dose distribution and pathogen reduction was tested on rabbit carcasses to simulate other larger carcasses. The dose uniformity ratio (DUR) on the rabbit carcasses was 1.8, indicating an acceptable dose distribution. On inoculated carcasses, this treatment reduced Escherichia coli O157:H7 by >5 log cycles. These results indicate that carcass irradiation using e-beam is feasible using the Maxim's electron scattering chamber. Appropriate adjustments will be further needed for commercial application on beef and other animal carcasses.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.meatsci.2013.07.030 | DOI Listing |
Transl Lung Cancer Res
December 2024
Department of Radiation Oncology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Background: Stereotactic body radiation therapy (SBRT) is crucial for treating early-stage inoperable non-small cell lung cancer (NSCLC) due to its precision and high-dose delivery. This study aimed to investigate the dosimetric deviations in gated (GR) versus non-gated radiotherapy (NGR), analyzing the impact of tumor location, target volume, and tumor motion range on dose distribution accuracy.
Methods: Sixty patients treated with either gated (n=30) or non-gated (n=30) SBRT for early-stage NSCLC were retrospectively analyzed.
Front Oncol
January 2025
Department of Radiation Oncology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objectives: Implementing pre-treatment patient-specific quality assurance (prePSQA) for cancer patients is a necessary but time-consuming task, imposing a significant workload on medical physicists. Currently, the prediction methods used for prePSQA fall under the category of supervised learning, limiting their generalization ability and resulting in poor performance on new data. In the context of this work, the limitation of traditional supervised models was broken by proposing a conditional generation method utilizing unsupervised diffusion model.
View Article and Find Full Text PDFJ Clin Pharmacol
January 2025
Pediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel (UKBB), University of Basel, Basel, Switzerland.
Understanding drug dosing to fulfill safety and efficacy requirements in a patient population is an essential part of dose finding in clinical practice and drug development. The majority of current dose finding methods are simulation-based, which can be time consuming and resource intensive. Model-based simulations also do not guarantee that the dose, that will optimally fulfill the safety and efficacy endpoints, will be found.
View Article and Find Full Text PDFAdv Mater
January 2025
Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China.
Recombinant adeno-associated viruses (rAAVs) have emerged as promising vaccine vectors due to their enduring efficacy with a single dose. However, insufficient cellular immune responses and the random and non-specific distribution of AAVs post-injection may hinder the development of AAV vaccines. Here, a novel Pickering emulsion platform stabilized by biomineralized manganese nanoparticles and aluminum hydroxide, which can rapidly and efficiently load AAVs, is reported.
View Article and Find Full Text PDFClin Oncol (R Coll Radiol)
December 2024
Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark; Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
Aims: Determining appropriate PTV margins for SBRT of liver metastases is a non-trivial task, especially with motion management included. The widely used analytical van Herk margin recipe (van Herk et al., 2000) could break down due to (i) a low number of fractions, (ii) non-Gaussian errors, or (iii) non-homogenous dose distributions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!