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Multi-system Imaging Spectrum associated with Neurologic Diseases (EPUB)

Unlock the Secrets of Multi-System Imaging in Neurologic Diseases

Authored by renowned expert Bo Gao, “Multi-System Imaging Spectrum Associated with Neurologic Diseases” is a comprehensive guide that covers over 200 classic multi-systemic entities associated with neurologic diseases. This invaluable resource is designed to help radiologists, neurologists, and healthcare professionals navigate the complexities of multi-system imaging interpretation.

A Practical Approach to Imaging Pitfalls

This unique book is written from a practical point of view, offering a radiology expert’s thought process in analyzing imaging pitfalls of different organs or systems. Each case is accompanied by detailed discussion, illustrative photos, and annotated images, providing readers with a comprehensive understanding of:

  • Clinical presentation and relevant pathology
  • Anatomy, physiology, and pertinent imaging features of common disease processes

Identifying Clues and Avoiding Misinterpretation

The cases in this book highlight potential pitfalls in multi-system imaging interpretation, providing detailed discussions and clues to avoid misinterpretation. With succinct content, bulleted text, and detailed illustrations, this resource is perfect for quick and easy reference.

By understanding the history and meaning of descriptive or metaphoric signs, readers can improve their diagnostic accuracy and confidence. The book’s focus on practical application makes it an essential tool for radiologists, neurologists, and healthcare professionals seeking to refine their skills in multi-system imaging.

Key Features:

  • Covers over 200 classic multi-systemic entities associated with neurologic diseases
  • Includes detailed discussions and cases highlighting clues and misinterpretation
  • Provides succinct content and bulleted, detailed illustrations and images
  • Helps readers identify potential pitfalls in multi-system imaging interpretation

Product Details:

Publisher: Elsevier Science

Publication Date: August 19, 2023

Language: English

ISBN: 9780323917957, 9780323986267

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