The objective of this study was to perform a nationwide survey in Chile to determine dose levels to patients and staff in four risk scenarios during cardiac catheterisation procedures. Different phantom thicknesses of polymethyl methacrylate (PMMA) were used to simulate adult patients. Scenario 1: 10-min fluoroscopy and 800 cine frames for 20 cm of PMMA; Scenario 2: 10-min fluoroscopy and 800 cine frames for 28 cm of PMMA; Scenario 3: 30-min fluoroscopy and 2400 cine frames for 20 cm of PMMA; Scenario 4: 30-min fluoroscopy and 2400 cine frames for 28 cm of PMMA. The average values regarding dose-area product and scattered doses at the cardiologist eye lens achieved for the four scenarios were 94, 249, 281, 747 Gy cm(2) and 0.3, 0.8, 0.9 and 2.5 mSv, respectively. Large variations in radiation doses received by both patients and staff for the same type of procedure suggest that optimising procedure protocols and using the most effective types of protective devices may substantially reduce the dose values found here.
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http://dx.doi.org/10.1093/rpd/nct118 | DOI Listing |
Radiol Cardiothorac Imaging
February 2025
From the Department of Biomedical Engineering (X.Z.) and Columbia Magnetic Resonance Research Center (CMRRC) (W.S.), Columbia University, New York, NY; Departments of Medicine (C.B.C., J.P.F.) and Radiology (J.P.F.), University of California at Los Angeles, Los Angeles, Calif; Department of Radiology, Weill Cornell Medicine, New York, NY (M.R.P.); Department of Radiology (M.R.P., S.M.D., S.J.), Department of Medicine (M.C.B., R.G.B.), Department of Epidemiology (R.G.B.), Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics (W.S.), and Institute of Human Nutrition (W.S.), Columbia University Irving Medical Center, 632 W 168th St, PH-17, New York, NY 10032; Department of Radiology (B.A.V., J.A.C.L.) and Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine (N.N.H.), Johns Hopkins University, Baltimore, Md; Department of Radiology, University of Michigan, Ann Arbor, Mich (P.P.A.); Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis (D.A.B.); Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC (D.C.); Departments of Radiology, Medicine, and the Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa (E.A.H.); Sections on Cardiology and Geriatrics, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC (D.W.K.); Division of Pulmonary, Critical Care, Sleep, and Allergy (J.A.K.) and Department of Radiology, College of Medicine (M.G.M.), University of Illinois at Chicago, Chicago, Ill; Department of Radiology and Biomedical Imaging (Y.J.L., J.L.), Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, School of Medicine (P.G.W.), and Cardiovascular Research Institute (P.G.W.), University of California at San Francisco, San Francisco, Calif; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Wake Forest University, Winston-Salem, NC (J.O., S.P.P.); Division of Pulmonary Medicine, Department of Medicine, Mayo Clinic, Phoenix, Ariz (V.E.O.); Department of Medicine, University of Utah, Salt Lake City, Utah (R.P.); Department of Radiology, Mayo Clinic, Rochester, Minn (J.D.S.); Department of Radiology, Hannover Medical School, Hannover, Germany (J.V.C.); and BREATH, Member of the German Center for Lung Research (DZL), Hannover, Germany (J.V.C.).
Purpose To assess the repeatability of real-time cine pulmonary MRI measures of metronome-paced tachypnea (MPT)-induced dynamic hyperinflation and its relationship with chronic obstructive pulmonary disease (COPD) severity. Materials and Methods SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) (ClinicalTrials.gov identifier no.
View Article and Find Full Text PDFComput Med Imaging Graph
December 2024
Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany.
Cardiac Cine Magnetic Resonance Imaging (MRI) provides an accurate assessment of heart morphology and function in clinical practice. However, MRI requires long acquisition times, with recent deep learning-based methods showing great promise to accelerate imaging and enhance reconstruction quality. Existing networks exhibit some common limitations that constrain further acceleration possibilities, including single-domain learning, reliance on a single regularization term, and equal feature contribution.
View Article and Find Full Text PDFMed Phys
January 2025
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to compensate for system latency in RT systems. Notably, for the prediction of future images in image-guided adaptive RT systems, the use of deep learning has been considered.
View Article and Find Full Text PDFInt J Biomed Res Pract
June 2024
University of Utah, Salt Lake City, UT, United States.
Motivation: In cine MRI, the measurements within each timeframe alone are too noisy for image reconstruction. Some information must be 'borrowed' from other time frames and the reconstruction algorithm is a slow iterative procedure.
Goals: We set up a constrained objective function, which uses the measurements at other time frames to regularize the image reconstruction.
J Vis Exp
December 2024
School of Biological Science and Medical Engineering, Southeast University; Mathematical Sciences Department, Worcester Polytechnic Institute.
Quantifying the mechanical properties of coronary arterial walls could provide meaningful information for the diagnosis, management, and treatment of coronary artery diseases. Since patient-specific coronary samples are not available for patients requiring continuous monitoring, direct experimental testing of vessel material properties becomes impossible. Current coronary models typically use material parameters from available literature, leading to significant mechanical stress/strain calculation errors.
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