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微创脊柱畸形手术算法的演变:一种基于证据的畸形矫正手术策略。

Evolution of the Minimally Invasive Spinal Deformity Surgery Algorithm: An Evidence-Based Approach to Surgical Strategies for Deformity Correction.

机构信息

Department of Neurosurgery, University of California, San Francisco, 505 Parnassus Avenue, Room M779, San Francisco, CA 94143-0112, USA.

Department of Neurosurgery, Weill Cornell Medical College, 525 East 68th Street, Box 99, New York, NY 10065, USA.

出版信息

Neurosurg Clin N Am. 2018 Jul;29(3):399-406. doi: 10.1016/j.nec.2018.03.007.

Abstract

Minimally invasive surgery (MIS) is an alternative to open surgery for adult spinal deformity correction. However, not all patients are ideal candidates for MIS correction. The minimally invasive spinal deformity surgery algorithm is a systematic and reproducible decision-making framework for surgeons to identify patients appropriate for deformity correction by MIS techniques. Key spinopelvic parameters including sagittal vertical axis, pelvic tilt, pelvic incidence to lumbar lordosis mismatch, and coronal Cobb angle are used to guide surgeons toward three treatment classes ranging from MIS to traditional open approaches. This article updates the minimally invasive spinal deformity surgery algorithm and presents representative cases.

摘要

微创脊柱畸形手术算法是一种系统的、可重复的决策框架,用于指导外科医生确定适合通过微创技术进行畸形矫正的患者。关键的脊柱骨盆参数包括矢状垂直轴、骨盆倾斜度、骨盆入射角与腰椎前凸不匹配以及冠状 Cobb 角,用于指导外科医生选择从微创到传统开放手术的三种治疗类别。本文更新了微创脊柱畸形手术算法,并展示了代表性病例。

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