The aim of this study is to demonstrate the feasibility of estimating the strength of the moving radiation source during patient implantation. The requirement for the counting time was investigated by comparing the results of the measurements for the static source with those for the source moving at 2, 5, 10 and 20 cm s(-1). The utilized source was (125)I with an air-kerma strength of 0.432 U (μGym(2)h(-1)). The detector utilized was a plastic scintillation detector (8 cm × 5 cm × 2 cm in thickness) set at 8 cm away from the needle to guide the source. Experiments were conducted in order to determine the most desirable counting time. Analysis using the maximum of the measured values while the source passed through the needle indicated that the results for the moving source increased more than those for the static source as the counting time decreased. The combined standard uncertainty, with the coverage factor of 1, was within 4% at the counting time of 100 ms. This investigation supported the feasibility of the method proposed for estimating the source strength during the implantation procedure, regardless of the source speed. The method proposed is a potential option for reducing the risk of accidental replacements of sources with those of incorrect strengths.
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http://dx.doi.org/10.1093/jrr/rrt087 | DOI Listing |
Eur J Med Res
January 2025
Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Objectives: SOX10 is crucially implicated in various cancer, yet the regulatory role in pancreatic cancer (PC) remains enigmatic. Underlying molecular mechanisms of SOX10 in PC were explored in our study.
Methods: Relationships between SOX10 and immune landscape were estimated using bioinformatic approaches.
Surg Today
January 2025
Division of Surgery, Istituto Auxologico Italiano IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Milan, Italy.
Purposes: We analyzed the acute-phase response in unilateral thyroidectomy by comparing the transoral endoscopic thyroidectomy vestibular approach (TOEVA) with the minimally invasive video-assisted thyroidectomy (MIVAT).
Methods: Patients were randomly assigned to undergo either TOEVA or MIVAT, after we obtained their written informed consent to participate in this study. Blood count, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interleukin-1β (IL-1β), IL-6 and tumor necrosis factor (TNF-) were measured before surgery and then 4, 24, and 48 h after surgery.
Clin Chem Lab Med
January 2025
Department of Blood Sciences, Newcastle upon Tyne Hospitals NHS Foundation Trust, Queen Victoria Road, Newcastle Upon Tyne, NE1 4LP, UK.
Objectives: Prompt recognition of hyperammonaemia can avoid severe consequences of delayed treatment. Strict sample transport requirements present barriers to requesting and, if not achieved, rejection by the laboratory. Evidence is sparse on ammonia stability from studies using modern techniques or based in clinical settings.
View Article and Find Full Text PDFJ Intellect Disabil
January 2025
Pro Vice Chancellor, Staffordshire University, UK.
Background: Autism spectrum disorder poses challenges in social communication and behavior, while Intellectual disabilities are characterized by deficits in cognitive, social, and adaptive skills, frequently accompanied by stereotypies and challenging behaviors. Despite the progress made in autism spectrum disorder research, there is often a lack of research focusing on individuals with co-occurring autism spectrum disorder and intellectual disability. Robot-assisted autism therapies are effective in addressing these needs.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.
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