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Cross-Sectional Imaging of the Abdomen and Pelvis

A Practical Algorithmic Approach

  • Khaled M. Elsayes

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Tara Sagebiel, Janio Szkarluk
    Pages 1-9
  3. Ehab Youssef, Richard L. Baron, Khaled M. Elsayes
    Pages 11-76
  4. Ravinder S. Legha, Khaled M. Elsayes, Hero K. Hussain
    Pages 77-96
  5. Nasir Siddiqui, Hüseyin Gürkar Töre, Vahid Yaghmai
    Pages 97-109
  6. Nicolaus A. Wagner-Bartak, Anand M. Prabhakar, Christine O. Menias, Hima B. Prabhakar, Khaled M. Elsayes
    Pages 111-143
  7. Nicolaus A. Wagner-Bartak, Shalini Vicky Mukhi, Christine O. Menias, Anand M. Prabhakar, Khaled M. Elsayes
    Pages 145-187
  8. Anil Chauhan, Khaled M. Elsayes, Tara Sagebiel, Priya R. Bhosale
    Pages 189-227
  9. Stuart Bentley-Hibbert, Ahmed Abdelbaki, Khaled M. Elsayes
    Pages 229-262
  10. Eduardo J. Matta, Joel F. Platt, Yehia M. Elguindy, Khaled M. Elsayes
    Pages 263-306
  11. Karthik Ganesan, Ajaykumar C. Morani, Joel F. Platt, Senta M. Berggruen, Khaled M. Elsayes
    Pages 307-357
  12. Dhakshina Moorthy Ganeshan, Khaled M. Elsayes, David J. Vining
    Pages 359-367
  13. Devaraju Kanmaniraja, Courtney Coursey Moreno, Ricardo D. Moreno, Shetal N. Shah
    Pages 369-401
  14. Devaraju Kanmaniraja, Courtney Coursey Moreno, Ricardo D. Moreno, Shetal N. Shah
    Pages 403-415
  15. Dhakshina Moorthy Ganeshan, Harmeet Kaur, Randy D. Ernst, Khaled M. Elsayes
    Pages 417-432
  16. Damian J. M. Tolan, Adam Culverwell, Rachel Hyland
    Pages 433-452
  17. Ott Le, Khaled M. Elsayes
    Pages 453-482
  18. Ayman H. Gaballah, Akram M. Shaaban, Yehia Mostafa Elguindy, Khaled M. Elsayes
    Pages 483-567
  19. Juan C. Camacho, Ahmed M. Amer, Diego A. Aguirre
    Pages 569-598
  20. Khaled M. Elsayes
    Pages 599-634
  21. Juan J. Ibarra-Rovira, Michael R. Da Rosa, Masoom A. Haider
    Pages 635-654
  22. Mohamed K. Asran, Yassine Kanaan, Ajit H. Goenka, Khaled M. Elsayes
    Pages 687-710
  23. Eduardo J. Matta, Christine O. Menias, Kareem Ahmed, Khaled M. Elsayes
    Pages 711-739
  24. Jonathan R. Dillman, Khaled M. Elsayes
    Pages 741-759
  25. Haytham M. Shebel, Mohammed S. Al-Natour, Haitham Elsamaloty
    Pages 761-842
  26. Sandeep P. Deshmukh, Shiva Gupta, Khaled M. Elsayes
    Pages 843-873
  27. Karthik Ganesan, Ajaykumar C. Morani, Leonardo P. Marcal, Priya R. Bhosale, Khaled M. Elsayes
    Pages 875-936
  28. Ashish P. Wasnik, Christine O. Menias, Priya R. Bhosale, Khaled M. Elsayes
    Pages 937-969
  29. Kathleen Ruchalski, Steven S. Raman, Khaled M. Elsayes
    Pages 971-991
  30. Laura Elizabeth Traube, Vinika Chaudhari, Maitraya K. Patel, Steven S. Raman
    Pages 993-1021
  31. Courtney Coursey Moreno
    Pages 1023-1033
  32. Back Matter
    Pages 1035-1066

About this book

Introduction

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.

Keywords

abdominal imaging computed tomography gastrointestinal imaging magnetic resonance imaging radiology of the abdomen radiology of the pelvis

Editors and affiliations

  • Khaled M. Elsayes
    • 1
  1. 1.Department of Diagnostic RadiologyThe University of Texas MD Anderson Cancer CenterHoustonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-1884-3
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Medicine
  • Print ISBN 978-1-4939-1883-6
  • Online ISBN 978-1-4939-1884-3
  • Buy this book on publisher's site
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