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

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

Author information

1
Department of Neurosurgery, University of California, San Francisco, 505 Parnassus Avenue, Room M779, San Francisco, CA 94143-0112, USA.
2
Department of Neurosurgery, Weill Cornell Medical College, 525 East 68th Street, Box 99, New York, NY 10065, USA.
3
Department of Neurosurgery, University of Michigan, 1500 East Medical Center Drive, SPC 5338, Ann Arbor, MI 48109-5338, USA.
4
Department of Neurosurgery, University of California, San Francisco, 505 Parnassus Avenue, Room M779, San Francisco, CA 94143-0112, USA. Electronic address: praveen.mummaneni@ucsf.edu.

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.

KEYWORDS:

Adult spinal deformity; MISDEF; Minimally invasive surgery; Scoliosis

PMID:
29933807
DOI:
10.1016/j.nec.2018.03.007
[Indexed for MEDLINE]

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