Cross-Sectional Imaging of the Abdomen and Pelvis: A Practical Algorithmic Approach - Image 1

£136.45

Springer Cross-Sectional Imaging of the Abdomen and Pelvis: A Practical Algorithmic Approach

Name: Cross-Sectional Imaging of the Abdomen and Pelvis: A Practical Algorithmic Approach
Brand: Springer
Price: 136.45 GBP
Availability: InStock

Radiography

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Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1493953400
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > Allied Health Professions > Radiography
Domain: Amazon UK
Release Date: 08 October 2016
Listed Since: 29 September 2016

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Springer Cross-Sectional Imaging of the Abdomen and Pelvis: A Practical Algorithmic Approach

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