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Radiation Exposure

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Efficacy Analysis of a Script-based Guide for EVAR Execution: is it Possible to Reduce Patient Exposure to Contrast, Operative Time and Blood Loss even when Advanced Technologies are not Available?

Brazilian journal of cardiovascular surgery 26934406
INTRODUCTION: Despite the patient and medical staff exposure to radiation in endovascular aneurysm repair, the benefits of this abdominal aortic aneurysm type of surgical management are justified by minor recovery time and hospitalization, as well as...
Angiography, Digital Subtraction Aortic Aneurysm, Abdominal Blood Loss, Surgical Contrast Media Endovascular Procedures Humans Image Processing, Computer-Assisted Longitudinal Studies Operative Time Prospective Studies Radiation Exposure Treatment Outcome
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Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

Pediatric radiology 26546568
BACKGROUND: CT of pediatric phantoms can provide useful guidance to the optimization of knowledge-based iterative reconstruction CT.
Child, Preschool Computer Simulation Female Humans Knowledge Bases Machine Learning Male Models, Statistical Phantoms, Imaging Radiation Dosage Radiation Exposure Radiation Protection Radiographic Image Enhancement Reproducibility of Results Sensitivity and Specificity Subtraction Technique Tomography, X-Ray Computed
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Trial by meltdown.

Science (New York, N.Y.) 26941300
Disasters Environmental Restoration and Remediation Fukushima Nuclear Accident Humans Japan Radiation Exposure Robotics
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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering 27187939
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Algorithms Humans Image Enhancement Magnetic Resonance Imaging Multimodal Imaging Pattern Recognition, Automated Positron-Emission Tomography Radiation Dosage Radiation Exposure Radiation Protection Reproducibility of Results Sensitivity and Specificity Subtraction Technique Supervised Machine Learning
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Impact of robotics and a suspended lead suit on physician radiation exposure during percutaneous coronary intervention.

Cardiovascular revascularization medicine : including molecular interventions 28041859
BACKGROUND: Reports of left-sided brain malignancies among interventional cardiologists have heightened concerns regarding physician radiation exposure. This study evaluated the impact of a suspended lead suit and robotic system on physician radiatio...
Coronary Angiography Equipment Design Head Humans Lead Linear Models Logistic Models Multivariate Analysis Occupational Exposure Percutaneous Coronary Intervention Physicians Prospective Studies Protective Clothing Radiation Dosage Radiation Dosimeters Radiation Exposure Radiation Monitoring Radiation Protection Radiography, Interventional Risk Assessment Risk Factors Robotics Thorax Time Factors
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Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Journal of cardiovascular computed tomography 28314613
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Aged Algorithms Body Mass Index Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Female Germany Humans Knowledge Bases Male Middle Aged Multidetector Computed Tomography Predictive Value of Tests Radiation Dosage Radiation Exposure Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Signal-To-Noise Ratio
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Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.

Artificial intelligence in medicine 28325604
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the pred...
Bayes Theorem Cranial Irradiation Early Diagnosis Fuzzy Logic Head and Neck Neoplasms Humans Machine Learning Parotid Gland Predictive Value of Tests Radiation Exposure Radiation Injuries Radiographic Image Interpretation, Computer-Assisted Radiotherapy Dosage Risk Factors Time Factors Tomography, X-Ray Computed Xerostomia
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