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Spine Imaging E-Book

by Alfonso Rivera , Brian C. Bowen , Efrat Saraf-Lavi

๐Ÿ“– The Scoop

This volume in the best-selling "Case Review" series uses nearly 200 case studies to challenge your knowledge on a full range of topics in spine imaging. Each case includes a set of 1 to 4 unknown images and four self-test questions, accompanied by answers, supporting literature references, and a commentary to help you gain a better understanding of how the correct diagnosis was reached. The discussion addresses the most important imaging, pathological, and clinical features of the case. This unique case-based format - coupled with an easy-access organization and high-quality images - equips you with the guidance you need to master the material, pass certification exams, and succeed in practice.

  • Serves as a useful preparation tool for certification review with its unique case-based format that mimics the actual exam.
  • Illustrates many nondegenerative diseases of the spine, such as congenital, vascular, neoplastic, inflammatory/infectious, and traumatic cases, including abnormal imaging findings.
  • Covers diseases involving spinal nerves and paraspinal plexuses, facilitating recognition of entities such as hereditary peripheral neuropathies and the perineural spread of neoplastic disease.
  • Offers more than 400 high-quality, state-of-the-art images - most new to this edition - representing a wide range of clinical situations encountered in the field.
  • Features cases at three different levels of difficulty: Opening Round, Fair Game, and Challenge to test the knowledge of any practitioners, regardless of degree or experience.
  • Presents new and expanded coverage of vascular lesions ยท vetebral lesions ยท lesions of spinal/peripheral nerves ยท MR/CT techniques ยท and more.
  • Features completely new figures as part of 120 new and existing cases.
  • Includes cross references of every case to Grossman & Yousem text, Neuroradiology: The Requisites, 2nd Edition.

Genre: Medical / Radiology, Radiotherapy & Nuclear Medicine (fancy, right?)

๐Ÿค–Next read AI recommendation

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