Elsevier

Atlas of Spinal Imaging Phenotypes: Classifications and Radiographic Measurements

Edition: 1st Edition
Subjects: Medicine, Orthopaedics & fractures
ISBN13: 9780323761116
Published: 23 Mar 2021

Format -
By Philip K. Louie, Howard S. An, Dino Samartzis

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Regular price A$149.24
Sale price A$149.24 Regular price A$153.86

Atlas of Spinal Imaging Phenotypes: Classifications and Radiographic Measurements

Regular price A$149.24
Sale price A$149.24 Regular price A$153.86
Product description
Spine-related pain is the world’s leading disabling condition, affecting every population and a frequent reason for seeking medical consultation and obtaining imaging studies. Numerous spinal phenotypes (observations/traits) and their respective measurements performed on various spine imaging have been shown to directly correlate and predict clinical outcomes. Atlas of Spinal Imaging Phenotypes: Classifications and Radiographic Measurements is a comprehensive visual resource that highlights various spinal phenotypes on imaging, describes their clinical and pathophysiological relevance, and discusses and illustrates their respective measurement techniques and classifications.
  • Helps readers better understanding spinal phenotypes and their imaging, and how today’s knowledge will facilitate new targeted drug discovery, novel diagnostics and biomarker discovery, and outcome predictions.

  • Features step-by-step instructions on performing the radiographic measurements with examples of normal and pathologic images to demonstrate the various presentations.

  • Presents clinical correlation of the phenotypes as well as the radiographic measurements with landmark references.

  • Includes validated classification systems that complement the phenotypes and radiographic measurements.

  • Complies the knowledge and expertise of Dr. Dino Samartzis, the preeminent global authority on spinal phenotypes who has discovered and proposed new phenotypes and classification schemes; Dr. Howard S. An, a leading expert in patient management and at the forefront of 3D imaging of various spinal phenotypes; and Dr. Philip Louie, a prolific surgeon who is involved in one of the largest machine learning initiatives of spinal phenotyping.

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