Radiology of the Abdomen and Pelvis A Case-Based Guide

A succinct account of various routinely experienced pathologies and suitable images has been enlisted as approximately162 case studies. The cases are structured into thematic chapters with an integrated approach to basic learning. Each case study follows a similar format with a brief clinical presentation, relevant imaging findings, discussion with differential diagnosis, management, and suggested readings. This book focuses on the pointwise description of cases routinely encountered in abdominopelvic imaging that help students, trainees and radiologists to write certificate examinations.

• Key Features:
• Presents chapters in the form of case studies, along with a brief illustrative description of normal anatomy and abnormal findings.
• Uses image-based quizzes for easy comprehension for trainees, residents and practising radiologists.
• Incorporates the pivotal cases from the hepatobiliary, pancreatic, genitourinary and gastrointestinal systems in a single book.

1. HEPATOBILIARY-LIENO-PANCREATIC SYSTEM. 2. GASTROINTESTINAL TRACT. 3. URINARY SYSTEM. 4. ADRENAL GLANDS. 5. FEMALE PELVIC SYSTEM (UTERUS AND OVARIES) 6. MALE PELVIC SYSTEM 7. AORTA AND IVC. 8. DIAPHRAGM, PERITONEUM, RETROPERITONEUM & ANTERIOR ABDOMINAL WALL 9. ABDOMINAL TUBERCULOSIS & ROLE OF AI IN ABDOMINOPELVIC RADIOLOGY 10. IMAGE-BASED MCQs; Answers to MCQs

Dr Swati Goyal, an Associate Professor of Radiodiagnosis at GMC Bhopal, has been keenly involved in academics, research, and public health work. She has three international books to her credit: two as an author— Neuroradiology- A Case-Based Guide and Essentials of Abdomino- Pelvic Sonography. published by CRC Press, Taylor & Francis Group —and one as an editor, Clinical Sonography: A Practical Guide SAE published by Wolters Kluwers. She is also the author of a non-academic book, What A Non-medico Must Know- The Quintessential Guide to Family Health and Wellness, addressing public health issues pertaining to lifestyle ailments. She earned a Ph.D. in Medicine for her work on machine learning in medical imaging, and her papers on the topic have been accepted at multiple prestigious international conferences. She is a coordinator of a ational AI committee, IRFIA and AI course coordinator, ICRI. She is also a recipient of the President's Appreciation Award by the Indian Radiology and Imaging Association (IRIA) 2022.