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Titlebook: Cross-Sectional Imaging of the Abdomen and Pelvis; A Practical Algorith Khaled M. Elsayes Book 2015 Springer Science+Business Media New Yor

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书目名称Cross-Sectional Imaging of the Abdomen and Pelvis
副标题A Practical Algorith
编辑Khaled M. Elsayes
视频video
概述CT and MR protocols are described for each abdominal organ.Clinical cases are accompanied by imaging features and illustrated algorithms to reinforce pattern recognition for interpretation and diagnos
图书封面Titlebook: Cross-Sectional Imaging of the Abdomen and Pelvis; A Practical Algorith Khaled M. Elsayes Book 2015 Springer Science+Business Media New Yor
描述.This book offers concise descriptions of cross-sectional imaging studies of the abdomen and pelvis, supplemented with over 1100 high-quality images and discussion of state-of-the-art techniques. It is based on the most common clinical cases encountered in daily practice and uses an algorithmic approach to help radiologists arrive first at a working differential diagnosis and then reach an accurate diagnosis based on imaging features, which incorporate clinical, laboratory, and other underlying contexts..The book is organized by anatomical organ of origin and each chapter provides a brief anatomical background of the organ under review; explores various cross-sectional imaging techniques and common pathologies; and presents practical algorithms based on frequently encountered imaging features. Special emphasis is placed on the role of computed tomography (CT) and magnetic resonance imaging (MRI). In addition to algorithmic coverage of many pathological entities in various abdominopelvic organs, unique topics are also examined, such as imaging of organ transplant (including kidney, liver and pancreas), evaluation of perianal fistula, and assessment of rectal carcinoma and prostate c
出版日期Book 2015
关键词abdominal imaging; computed tomography; gastrointestinal imaging; magnetic resonance imaging; radiology
版次1
doihttps://doi.org/10.1007/978-1-4939-1884-3
isbn_softcover978-1-4939-5340-0
isbn_ebook978-1-4939-1884-3
copyrightSpringer Science+Business Media New York 2015
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The Small Bowel,aging techniques have evolved substantially, allowing for accurate noninvasive visualization of the entire length of the small bowel which thereby helped in accurate detection of pathologies. This chapter discusses an algorithmic approach to techniques and illustrates a broad spectrum of disorders afflicting the small bowel.
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reinforce pattern recognition for interpretation and diagnos.This book offers concise descriptions of cross-sectional imaging studies of the abdomen and pelvis, supplemented with over 1100 high-quality images and discussion of state-of-the-art techniques. It is based on the most common clinical case
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Book 2015nd discussion of state-of-the-art techniques. It is based on the most common clinical cases encountered in daily practice and uses an algorithmic approach to help radiologists arrive first at a working differential diagnosis and then reach an accurate diagnosis based on imaging features, which incor
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