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Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology

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Pain Imaging - A Clinical-Radiological Approach to Pain Diagnosis (Hardcover, 1st ed. 2019) Loot Price: R2,246
Discovery Miles 22 460
You Save: R368 (14%)
Pain Imaging - A Clinical-Radiological Approach to Pain Diagnosis (Hardcover, 1st ed. 2019): Maria Assunta Cova, Fulvio Stacul

Pain Imaging - A Clinical-Radiological Approach to Pain Diagnosis (Hardcover, 1st ed. 2019)

Maria Assunta Cova, Fulvio Stacul

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List price R2,614 Loot Price R2,246 Discovery Miles 22 460 | Repayment Terms: R210 pm x 12* You Save R368 (14%)

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This book addresses all pain imaging aspects related to both the central nervous system and the body (thorax, abdomen and pelvis), thus updating the international literature on the topic. By adopting a clinical-radiological approach and offering a comprehensive differential diagnosis for a number of painful syndromes (many of which can mimic one other), the work aims to support and enhance the diagnostic management of these patients, suggesting the most appropriate diagnostic algorithm. The book is divided into separate sections for each anatomical macro-area, and the chapters cover the respective topics from both clinical and radiological perspectives. Further, the book includes extensive electronic supplementary material. As such, it offers an invaluable tool for radiologists, neuroradiologists and clinicians working in internal medicine, surgery and neurology, and could also be used in residency programs for these groups.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: March 2019
First published: 2019
Editors: Maria Assunta Cova • Fulvio Stacul
Dimensions: 254 x 178mm (L x W)
Format: Hardcover
Pages: 498
Edition: 1st ed. 2019
ISBN-13: 978-3-319-99821-3
Categories: Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology
Books > Medicine > Other branches of medicine > Anaesthetics > Pain & pain management
Books > Medicine > Other branches of medicine > Medical imaging > Radiology
LSN: 3-319-99821-8
Barcode: 9783319998213

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