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- 000 02297cam a2200289 i 4500
- 008 200331s2015 nyua b 001 u eng d
- 035 __ |a (OCoLC)1194522532
- 040 __ |a BEATB |b eng |e rda |c BEATB
- 245 00 |a Cross-Sectional Imaging of the Abdomen and Pelvis : |b A Practical Algorithmic Approach / |c Khaled M. Elsayes, editor.
- 260 __ |a New York : |b Springer, |c [2015]
- 300 __ |a xvi, 1066 pages : |b illustrations (some colour) ; |c 28 cm
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 3_ |a 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 carcinoma by MRI. Cross-Sectional Imaging of the Abdomen and Pelvis: A Practical Algorithmic Approach is a unique and practical resource for radiologists, fellows, and residents.
- 650 _0 |a Radiology, Medical.
- 650 _4 |a Physical methods for diagnosis
- 700 1_ |a Elsayes, Khaled M. |4 edt