Phenotypes, Measurements and Classification Systems
Authors :
Philip K. Louie & Howard S. An & Dino Samartzis
Date of Publication: 03/2021
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 me
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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, Measurements and Classification Systems 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. 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 young surgeon who is involved in one of the largest machine learning initiatives of spinal phenotyping.
*Includes a Foreword by renowed spine surgeons Alexander Vaccaro and Max Aebi*
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, Measurements and Classification Systems 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. 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 young surgeon who is involved in one of the largest machine learning initiatives of spinal phenotyping.
*Includes a Foreword by renowed spine surgeons Alexander Vaccaro and Max Aebi*
Key Features
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.
Author Information
Edited by Philip K. Louie, MD, Orthopaedic Spine Surgeon, Department of Neurosurgery, Neuroscience Institute, Virginia Mason Medical Center; Howard S. An, MD, Professor and Morton International Endowed Chair, Director of Spine Fellowship Program, Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois and Dino Samartzis, Director, International Spine Research and Innovation Initiative (ISRII), Associate Professor, Department of Orthopedic Surgery, Rush Medical College, Chicago, Illinois
https://www.eu.elsevierhealth.com/atlas-of-spinal-imaging-9780323761116.html167603Atlas of Spinal Imaginghttps://www.eu.elsevierhealth.com/media/catalog/product/9/7/9780323761116_3.jpg63.7484.99EURInStock/Health Professions/Radiography/Medicine and Surgery/Orthopaedics & Orthopaedic Surgery/Medicine and Surgery/Surgery/Orthopaedics & Orthopaedic Surgery/Medicine and Surgery/Surgery/Books98969830983298315255039<p>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. <b>Atlas of Spinal Imaging: Phenotypes, Measurements and Classification Systems </b>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. 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 young surgeon who is involved in one of the largest machine learning initiatives of spinal phenotyping.</p>
<P>*Includes a Foreword by renowed spine surgeons Alexander Vaccaro and Max Aebi*</p> <p>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. <b>Atlas of Spinal Imaging: Phenotypes, Measurements and Classification Systems </b>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. 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 young surgeon who is involved in one of the largest machine learning initiatives of spinal phenotyping.</p>
<P>*Includes a Foreword by renowed spine surgeons Alexander Vaccaro and Max Aebi*</p>00add-to-cart97803237611162021ProfessionalEdited by Philip K. Louie, MD, Howard S. An, MD and Dino Samartzis20221Book191w x 235hElsevier28224 Mar 2021PRINT ON DEMAND - DELIVERY CAN TAKE UP TO 10 DAYSEdited by <STRONG>Philip K. Louie</STRONG>, MD, Orthopaedic Spine Surgeon, Department of Neurosurgery, Neuroscience Institute, Virginia Mason Medical Center; <STRONG>Howard S. An</STRONG>, MD, Professor and Morton International Endowed Chair, Director of Spine Fellowship Program, Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois and <STRONG>Dino Samartzis</STRONG>, Director, International Spine Research and Innovation Initiative (ISRII), Associate Professor, Department of Orthopedic Surgery, Rush Medical College, Chicago, IllinoisBooksNoNoNoNoPlease SelectPlease SelectPlease Select
