This report outlines the University of Sydney's initial experience with the Virtual Environment for Radiotherapy Training (VERT) system in the Master of Medical Physics program. VERT is a commercially available system, simulating linear accelerators, patient computed tomography (CT) sets, plans and treatment delivery. It was purpose built for radiation therapy (RT) education and offers learners the opportunity to gain knowledge and skills within an interactive, risk-free environment. The integration of VERT into the RT physics module of the Master of Medical Physics program was intended to enhance student knowledge and skills relevant to the curriculum's learning objectives, and to alleviate some of the burden associated with student access to clinical equipment. Three VERT practical sessions were implemented: "RT treatment planning systems", "(CT) Anatomy for physicists" and "Linear accelerator measurements". Our experience and student evaluations were positive and demonstrated the viability of VERT for medical physics (MP) student education. We anticipate that integration of VERT into MP teaching is a valuable addition to traditional methods and can aid MP students' understanding and readiness for practice. Additional evaluations should be conducted to ascertain VERT's role in delivering efficient quantity and quality of MP education, and its potential in alleviating burdens placed on clinical departments.
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http://dx.doi.org/10.1007/s13246-017-0592-9 | DOI Listing |
Radiology
January 2025
From the Department of Radiology, Duke University Hospital, 2301 Erwin Rd, Box 3808, Durham, NC 27701 (B.W.T., K.R.K., B.C.A., S.P.T., D.E.K., B.H., M.R.B., D.M., E.S., E.A.); Department of Biostatistics and Bioinformatics (N.F., S.M., A.E.) and Department of Medical Physics (W.P.S., E.S., E.A.), Duke University, Durham, NC.
Background Detection of hepatic metastases at CT is a daily task in radiology departments that influences medical and surgical treatment strategies for oncology patients. Purpose To compare simulated photon-counting CT (PCCT) with energy-integrating detector (EID) CT for the detection of small liver lesions. Materials and Methods In this reader study (July to December 2023), a virtual imaging framework was used with 50 anthropomorphic phantoms and 183 generated liver lesions (one to six lesions per phantom, 0.
View Article and Find Full Text PDFJ Mater Chem B
January 2025
Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
Single-atom nanozymes (SAzymes) with excellent biological catalytic activity have emerged as promising candidates for advancing biomedical applications. Herein, we synthesized a RuN-SAzyme by thermal decomposition. In experiments, the RuN-SAzyme demonstrated exceptional catalytic efficiency in mimicking the activity of peroxidase, with a Michaelis-Menten constant () for 3,3',5,5'-tetramethylbenzidine reaching 0.
View Article and Find Full Text PDFSoft Matter
January 2025
School of Medicine and Health, Harbin Institute of Technology, XiDaZhi Street 92, Harbin, 150001, China.
Enzyme-powered synthetic colloidal motors hold promising potential for medical applications because of their unique features such as self-propulsion, sub-micrometer size, fuel bioavailability, and structural and functional versatility. However, the key parameters influencing the propulsion efficiency of enzyme-powered colloidal motors still remain unclear. Here, we report the effect of the neck length of urease-powered pentosan flask-like colloidal motors on their kinematic behavior resembling the role of bacterial flagella.
View Article and Find Full Text PDFMed Phys
January 2025
Center for Virtual Imaging Trial, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA.
Background: This Special Report summarizes the 2022, AAPM grand challenge on Truth-based CT image reconstruction.
Purpose: To provide an objective framework for evaluating CT reconstruction methods using virtual imaging resources consisting of a library of simulated CT projection images of a population of human models with various diseases.
Methods: Two hundred unique anthropomorphic, computational models were created with varied diseases consisting of 67 emphysema, 67 lung lesions, and 66 liver lesions.
Alzheimers Dement
January 2025
Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Introduction: Alzheimer's disease (AD) in Down syndrome (DS) is associated with changes in brain structure. It is unknown if thickness and volumetric changes can identify AD stages and if they are similar to other genetic forms of AD.
Methods: Magnetic resonance imaging scans were collected for 178 DS adults (106 nonclinical, 45 preclinical, and 27 symptomatic).
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