Cross-Sectional Imaging of the Abdomen and Pelvis [electronic resource] : A Practical Algorithmic Approach /
Elsayes, Khaled M.editor.
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.
Description based upon print version of record.
Includes bibliographical references at the end of each chapters and index.
Overview of CT and MRI Techniques for Evaluation of the Liver -- Diagnostic Approach of Focal and Diffuse Hepatic Diseases -- Cirrhosis and Hepatocellular Carcinoma -- Post-Locoregional Therapy Imaging of the Liver -- The Biliary Tree -- The Gall Bladder -- The Pancreas -- Cross Sectional Imaging of the Spleen -- The Stomach -- The Small Bowel -- Overview of CT Colonoscopy -- Approach to Colon Pathologies -- The Appendix -- MRI Evaluation of Rectal Carcinoma -- MRI for Perianal Fistula -- The Peritoneum -- The Extraperitoneal Spaces -- Cross Sectional Imaging of the Abdominal Wall -- Cross Sectional Imaging of the Adrenal Gland -- Prostate Imaging -- The Urinary Tract: Renal Collecting Systems, Ureters, and Urinary Bladder -- Imaging of Liver Transplant -- Imaging of Kidney Transplant -- Imaging of Pancreas Transplant -- Cross Sectional Imaging of the Kidney -- The Scrotum -- Cross Sectional Imaging of the Uterus -- The Adnexa -- The Vagina -- Cross Sectional Imaging of the Female Urethra -- Dual Energy CT and Its Applications in the Abdomen.
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.
Radiology.
Diagnostic Radiology.