AJR. American journal of roentgenology
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AJR Am J Roentgenol · Apr 2020
ReviewUtility of Iodine Density Perfusion Maps From Dual-Energy Spectral Detector CT in Evaluating Cardiothoracic Conditions: A Primer for the Radiologist.
OBJECTIVE. The purpose of this article is to outline the utility of iodine density maps for evaluating cardiothoracic disease and abnormalities. ⋯ CONCLUSION. Understanding the technique of SDCT and being familiar with the features of different cardiothoracic conditions on iodine density map images help the radiologist make a better diagnosis.
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AJR Am J Roentgenol · Mar 2020
ReviewEvaluation and Management of Intermediate and High-Risk Pulmonary Embolism.
OBJECTIVE. The evidence regarding pulmonary embolism treatment has greatly advanced over the past 10 years, particularly in patients with right ventricular dysfunction or hemodynamic instability. ⋯ CONCLUSION. This article will review the data available for treatment options and summarize the evidence-based guidelines on treatment of intermediate- or high-risk pulmonary embolism.
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AJR Am J Roentgenol · Mar 2019
Meta AnalysisDiagnostic Outcome of Image-Guided Percutaneous Core Needle Biopsy of Sclerotic Bone Lesions: A Meta-Analysis.
This systematic review and meta-analysis aimed to evaluate the diagnostic outcome (diagnostic yield and accuracy) of image-guided percutaneous core needle biopsy (CNB) of sclerotic bone lesions. ⋯ In conclusion, we determined that image-guided percutaneous CNB of sclerotic bone lesions is an accurate diagnostic technique with good diagnostic yield, particularly when the battery-powered bone biopsy system is used.
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AJR Am J Roentgenol · Feb 2019
ReviewNew Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
The purpose of this article is to compare traditional versus machine learning-based computer-aided detection (CAD) platforms in breast imaging with a focus on mammography, to underscore limitations of traditional CAD, and to highlight potential solutions in new CAD systems under development for the future. ⋯ CAD development for breast imaging is undergoing a paradigm shift based on vast improvement of computing power and rapid emergence of advanced deep learning algorithms, heralding new systems that may hold real potential to improve clinical care.
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AJR Am J Roentgenol · Feb 2019
ReviewArtificial Intelligence in Breast Imaging: Potentials and Limitations.
The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption. ⋯ The algorithms of AI for workflow improvement and outcome analyses are advancing. Using imaging data of high quality and quantity, AI can support breast imagers in diagnosis and patient management, but AI cannot yet be relied on or be responsible for physicians' decisions that may affect survival. Education in AI is urgently needed for physicians.