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-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-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.