Atlas of Spinal Imaging Phenotypes

Atlas of Spinal Imaging Phenotypes
Author :
Publisher : Elsevier Health Sciences
Total Pages : 283
Release :
ISBN-10 : 9780323761123
ISBN-13 : 0323761127
Rating : 4/5 (23 Downloads)

Book Synopsis Atlas of Spinal Imaging Phenotypes by : Philip K. Louie

Download or read book Atlas of Spinal Imaging Phenotypes written by Philip K. Louie and published by Elsevier Health Sciences. This book was released on 2021-03-23 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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