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.
구분 | 13시 이전 | 13시 이후 |
---|---|---|
군자도서 | 당일출고 | 1일 추가 |
타사도서 | 1일 ~ 2일 추가 | 2일 ~ 3일 추가 |
고객님께서 급히 필요하신 상품은 별도로 나누어 주문하시면 수령시간이 절약됩니다.
국내에서 재고를 보유한 업체가 없는 경우 해외주문을 해야 하는 상황이 생깁니다.
이 경우 4~5주 안에 공급이 가능하며 현지 출판사 사정에 따라 구입이 어려운 경우 2~3주 안에 공지해 드립니다.
# 재고 유무는 주문 전 사이트 상에서 배송 안내 문구로 구분 가능하며, 필요에 따라 전화 문의 주시면 거래처를 통해 다시 한번 국내재고를 확인해 드립니다.
전자상거래에 의한 소비자보호에 관한 법률에 의거 반품 가능 기간내에는 반품을 요청하실 수 있습니다.
(10881) 경기도 파주시 회동길 338 (서패동 474-1) 군자출판사빌딩 4층