Verlag: Thames & Hudson, 2016., 2016
Anbieter: Sainsbury's Books Pty. Ltd., Camberwell, VIC, Australien
Landscape 8vo, 191pp. Colour illustrations. A very good hardback copy. Contains 2 CDs.
Sprache: Englisch
Verlag: Australian Scholarly Publishing, North Melbourne, 2012
ISBN 10: 1921875623 ISBN 13: 9781921875625
Anbieter: Lost and Found Books, Healesville, VIC, Australien
Erstausgabe
soft cover. Zustand: Very Good. No Jacket. 1st edition. Illustrated with colour photographs, includes an audio CD. 26 cm. IX, 115 pages VG. Very good condition with light shelf wear to covers, top corner of title page clipped.
Sprache: Englisch
Verlag: Thames & Hudson, Port Melbourne, 2016
ISBN 10: 0500500665 ISBN 13: 9780500500668
Anbieter: Arapiles Mountain Books - Mount of Alex, Castlemaine, VIC, Australien
Erstausgabe
Hard Cover. Zustand: F. First Edition. Oblong 4to. original pictorial laminated boards; pp. 192, with illustrations + 2 CDs. Heavy item (1.25 kg), additional postage may be required for international delivery. A fine copy.
Sprache: Englisch
Verlag: Thames and Hudson (Australia) Pty Ltd, Port Melbourne, 2016
ISBN 10: 0500500665 ISBN 13: 9780500500668
Anbieter: A Small Bookshop, ELMHURST, VIC, Australien
Erstausgabe
Pictorial Cover. Zustand: Near Fine. 1st Edition. Full colour photographs throughout. Includes 2 CDs. Format: Oblong. 19 x 24.5 cm. 191 pp.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 85,80
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 262 pages. 9.00x7.50x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Elsevier - Health Sciences Division, 2021
ISBN 10: 0323761119 ISBN 13: 9780323761116
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 100,17
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
Sprache: Englisch
Verlag: Elsevier Health Sciences Mär 2021, 2021
ISBN 10: 0323761119 ISBN 13: 9780323761116
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.