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*
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Philip Louie recently joined the Spine Team at the Virginia Mason Neuroscience Institute. He received his Bachelors Degree in Business Administration as well as Molecular, Cellular, and Developmental Biology at the University of Washington. He subsequently completed his Medical Degree (MD) at the University of Washington School of Medicine. Dr. Louie completed his Orthopaedic Surgery Residency at Rush University Medical Center with Midwest Orthopaedics. At which point, he was a founding member of the International Spine Research & Innovation Initiative (ISRII). During his residency, he developed a training simulator focusing on the fundamental skills in spine surgery, and subsequently won the Golden Apple Chief Resident Teaching Award. Dr. Louie completed an Orthopaedic Spine Surgery Fellow at the Hospital for Special Surgery in New York City. He has authored over 100 peer-reviewed publications as well as numerous abstracts, book chapters, and regularly presents research at both national and international conferences.
As one of the leading authorities on spinal surgery, Dr. Howard An has published more than 300 peer-reviewed original articles, 110 chapters and 20 books on spinal surgery and instrumentation. Dr. An has held the inaugural Morton International Endowed Chair position at Rush University Medical Center since 1997, and is the Director of the Spine Surgery Fellowship Program at Rush. He held the position of Director of the Division of Spine Surgery for 14 years. A medical graduate from the Medical College of Ohio in 1982, Dr. An stayed at the school to complete his internship and residency in orthopedic surgery. He followed his internship and residency with a spine surgery fellowship at Rothman Institute-Pennsylvania Hospital and Jefferson Medical College in Philadelphia. Dr. An is a recipient of the 1990 North American Traveling Fellowship from the American Orthopaedic Association, the 1995 Scoliosis Research Society Traveling Fellowship, and the 2011 Kappa Delta Award from Orthopaedic Research Society and American Academy of Orthopaedic Surgeons.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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\* 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. 282 pp. Englisch. N° de réf. du vendeur 9780323761116
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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\* 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. N° de réf. du vendeur 9780323761116
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