Algorithmic Patient Selection for Minimally Invasive Versus Open Lumbar Interbody Fusion Surgery

Jacob L Goldberg; Ibrahim Hussain; Kai-Ming Fu; Michael S Virk

doi:10.1016/j.nec.2023.06.007

Algorithmic Patient Selection for Minimally Invasive Versus Open Lumbar Interbody Fusion Surgery

Neurosurg Clin N Am. 2023 Oct;34(4):599-607. doi: 10.1016/j.nec.2023.06.007. Epub 2023 Jul 26.

Authors

Jacob L Goldberg¹, Ibrahim Hussain¹, Kai-Ming Fu¹, Michael S Virk²

Affiliations

¹ Department of Nerosurgery, Weill Cornell Medical Center, New York Presbyterian Hospital, 525 E 68th Street, Box 99, New York, NY 10065, USA.
² Department of Nerosurgery, Weill Cornell Medical Center, New York Presbyterian Hospital, 525 E 68th Street, Box 99, New York, NY 10065, USA. Electronic address: virkm1@gmail.com.

PMID: 37718106
DOI: 10.1016/j.nec.2023.06.007

Abstract

Evidenced-based data-driven decision-making algorithms guide patient and approach selection for adult spinal deformity surgery. Algorithms are continually refined as surgical goals and intraoperative technology evolve.

Keywords: Minimally invasive spine surgery; Selection algorithm; Spine deformity.

Publication types

Review

MeSH terms

Adult
Algorithms*
Humans
Lumbosacral Region
Neurosurgical Procedures*
Patient Selection