Atlas Of Spinal Imaging Phenotypes

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Atlas of Spinal Imaging Phenotypes

Author: Philip K. Louie
language: en
Publisher: Elsevier Health Sciences
Release Date: 2021-03-23
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.
Atlas of Spinal Imaging

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.
Spine Phenotypes

The era of big data and personalized spine care has arrived. Within that, imaging and clinical phenotypes are key in establishing personalized algorithms for patient care. This is particularly important in developing novel diagnostics and therapeutics as well as predicting outcomes and establishing preventative measures for various spinal disorders. Spine Phenotypes is a comprehensive resource that outlines phenotype descriptions, their imaging measurements and classifications, and provides an in-depth discussion regarding spine pathology and its clinical relevance. Multiauthored, with multidisciplinary contributions from world leaders in the field of imaging, spine research, and clinical practice, each chapter is rich in visual depiction of imaging phenotypes, providing examples of some established phenotypic measurements with a range of normal and pathologic images and their clinical implications. Spine Phenotypes will be a first of its kind reference for spine researchers, clinicians, and industry. - Book chapters devoted to specific imaging phenotypes with discussion of their clinical correlates - Imaging phenotypes provided with examples of established phenotypic measurements and a range of normal and pathologic images - Multiauthor, multidisciplinary contributions comprising world leaders in the field of spine imaging, research, and clinical practice