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This book systematically covers MRI imaging findings of a spectrum of gynaecological diseases, including ovarian cysts, uterine fibroids, cervical cancer, and endometrial cancer, etc. All chapters are arranged in the same format: simply clinical history is firstly presented in order to help readers mimic the real clinical scenario, and then untypical features in many common diseases and typical features in many uncommon diseases are interpreted. In the end of each chapter, tips in differential diagnosis were summarized by analysing a class of cases with similar imaging performance. All cases…mehr

Produktbeschreibung
This book systematically covers MRI imaging findings of a spectrum of gynaecological diseases, including ovarian cysts, uterine fibroids, cervical cancer, and endometrial cancer, etc. All chapters are arranged in the same format: simply clinical history is firstly presented in order to help readers mimic the real clinical scenario, and then untypical features in many common diseases and typical features in many uncommon diseases are interpreted. In the end of each chapter, tips in differential diagnosis were summarized by analysing a class of cases with similar imaging performance. All cases in the book have the detailed pathological results, and the pathological specimens are also shown in some cases. It will be an ideal reference for physicians involved in the diagnosis and treatment of gynaecological diseases.
Autorenporträt
Guofu Zhang is a Professor and Director at Department of Radiology, Obstetrics & Gynecology Hospital affiliated to Fudan University, Shanghai, China
Rezensionen
"This book is a fairly decent attempt at bringing together the complex world of gynecological disease interpretation on MRI scans. It covers a lot of ground and, while some of the images could be of better quality along with the inclusion of arrows to better highlight the abnormalities on the MR images, this book would be good for radiology trainees and general radiologists looking to get a basic knowledge of gynecological diseases on MR imaging. " (Chukwumobi Ihezue, RAD Magazine, March, 2025)