Atlas of Spinal Imaging Phenotypes Phenotypes, Measurements and Classification Systems
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Form:Einzelkauf Download
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Sprache:Englisch
71,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
23.03.2021
Herausgeber
Philip K. Louie MD + weitereVerlag
Elsevier HealthScience ENSeitenzahl
282 (Printausgabe)
Dateigröße
75874 KB
Sprache
Englisch
EAN
9780323761123
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.
- 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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