| 书目名称 | Evidence-Based Emergency Imaging | | 副标题 | Optimizing Diagnosti | | 编辑 | Aine Kelly,Paul Cronin,Kimberly E. Applegate | | 视频video | | | 概述 | Presents evidence-based criteria to systematically assess the appropriate use of medical imaging in the emergency department.Focuses on evidence-based emergency imaging in adults, children, and specia | | 丛书名称 | Evidence-Based Imaging | | 图书封面 |  | | 描述 | .This book presents evidence-based criteria to systematically assess the appropriate use of medical imaging in the emergency department and other acute care settings. Over the last decade, there have been profound changes in the diagnostic testing and work-up of patients presenting to the emergency department with emergent symptoms. One of the most far-reaching changes has been the increased availability, speed, and accuracy of imaging due, in part, to technical improvements in imaging modalities such as CT, MR, and PET. Although the use of high-end imaging has plateaued in general, increased utilization continues in the ED. These patients are more acutely ill and there is additional pressure to make an accurate diagnosis as quickly as possible to facilitate prompt disposition or treatment. There is also strong evidence for the beneficial use of imaging in the emergency setting that results in improved patient outcomes. This book answers that need by providing protocols and guidelines for neuroradiological, cardiothoracic, abdominal and pelvic, musculoskeletal, and pediatric imaging are reviewed in terms of the available imaging modalities, diagnostic criteria, and treatment optio | | 出版日期 | Book 2018 | | 关键词 | abdominal and pelvic imaging; cardiothoracic imaging; evidence-based emergency imaging; imaging in adul | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-67066-9 | | isbn_softcover | 978-3-030-09787-5 | | isbn_ebook | 978-3-319-67066-9Series ISSN 2625-3674 Series E-ISSN 2625-3682 | | issn_series | 2625-3674 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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发表于 2025-3-21 19:56:01
