Computed radiography (CR) systems have been gaining adoption as digital replacements for film for diagnostic and therapy imaging. As a result, film processors are being removed from service, leaving a void for the medical physicists who use film and processors for two-dimensional mega-voltage beam dosimetry. This is the first report to evaluate the ability of a commercial CR reader and storage phosphor plate system to accurately quantitate absolute dose and dose distributions from a 6 MV photon beam. There are potential advantages and disadvantages of current CR systems compared to film systems. CR systems inherently produce a linear dose-response over several logs of dose. However, the barium in the storage phosphor has a higher atomic number than the silver in film, resulting in significant energy sensitivity. The purpose of this work is to fully characterize the impact of these and other features of this CR system relevant to dosimetry. The tests performed and reported on in this study include uniformity of readout across a uniform field, geometrical accuracy, intra- and interday reproducibility, signal decay with time and with light exposure, dose-to-signal calibration, high dose effects, obliquity effects, perpendicular and parallel calibration results, field size and depth of measurement effects and the use of lead filters to minimize them, and intensity modulated radiation therapy quality assurance test results compared to that for film. Practical techniques are provided to optimize the accuracy of the system as a dosimetric replacement for film.
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http://dx.doi.org/10.1118/1.2012787 | DOI Listing |
Curr Obes Rep
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Metabolism and Body Composition, Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
Background: Recent technological advances have introduced novel methods for measuring body composition, each with unique benefits and limitations. The choice of method often depends on the trade-offs between accuracy, cost, participant burden, and the ability to measure specific body composition compartments.
Objective: To review the considerations of cost, accuracy, portability, and participant burden in reference and emerging body composition assessment methods, and to evaluate their clinical applicability.
Arch Orthop Trauma Surg
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Department of Orthopedic Surgery, Columbia University Orthopedics at Mount Sinai Medical Center, 4302 Alton Road, Suite 220, Miami Beach, FL, 33140, USA.
Background: In the case of end-stage hallux rigidus, first metatarsophalangeal (MTP) joint arthrodesis is the gold-standard and is traditionally performed via an open approach. However, complications such as nonunion have been reported to be as high as 30%. Recently, there have been reports demonstrating a percutaneous approach to be effective and safe.
View Article and Find Full Text PDFTurk Kardiyol Dern Ars
January 2025
Department of Cardiology, Gülhane Faculty of Medicine, University of Health Sciences, Ankara, Türkiye.
Severe mitral regurgitation (MR) following surgical repair of the mitral valve poses a significant clinical challenge. Patients who have undergone surgery are typically at high risk for a second operation. This report details the case of a 54-year-old male who underwent aortic valve replacement and mitral valve repair using a 34-ring, 14 years prior.
View Article and Find Full Text PDFJ Int Med Res
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Department of Cardiac Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
Smith-Magenis syndrome (SMS) and Dandy-Walker malformation (DWM) are uncommon genetic conditions with nonspecific clinical features, which makes reaching a definitive diagnosis challenging. We describe here, a 2-year-old girl who was diagnosed with SMS at the age of 12 months due to delayed growth and development. The child presented to hospital with acute heart failure and respiratory failure.
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Radiology, Multizonal Unit of Rovereto and Arco, APSS Provincia Autonoma Di Trento, 38123 Trento, Italy.
The assessment of lymph node (LN) involvement with clinical imaging is a key factor in cancer staging. Node Reporting and Data System 1.0 (Node-RADS) was introduced in 2021 as a new system specifically tailored for classifying and reporting LNs on computed tomography (CT) and magnetic resonance imaging scans.
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