The MISDEF2 algorithm: an updated algorithm for patient selection in minimally invasive deformity surgery.

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Mummaneni, Praveen V

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Park, Paul

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Shaffrey, Christopher I

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Wang, Michael Y

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Uribe, Juan S

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Fessler, Richard G

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Chou, Dean

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Kanter, Adam S

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Okonkwo, David O

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Mundis, Gregory M

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Eastlack, Robert K

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Nunley, Pierce D

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Anand, Neel

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Virk, Michael S

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Lenke, Lawrence G

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Than, Khoi D

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Robinson, Leslie C

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Fu, Kai-Ming

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International Spine Study Group (ISSG)

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2019-12-15T16:56:27Z

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2019-12-15T16:56:27Z

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2019-10-25

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2019-12-15T16:56:26Z

dc.description.abstract

OBJECTIVE:Minimally invasive surgery (MIS) can be used as an alternative or adjunct to traditional open techniques for the treatment of patients with adult spinal deformity. Recent advances in MIS techniques, including advanced anterior approaches, have increased the range of candidates for MIS deformity surgery. The minimally invasive spinal deformity surgery (MISDEF2) algorithm was created to provide an updated framework for decision-making when considering MIS techniques in correction of adult spinal deformity. METHODS:A modified algorithm was developed that incorporates a patient's preoperative radiographic parameters and leads to one of 4 general plans ranging from basic to advanced MIS techniques to open deformity surgery with osteotomies. The authors surveyed 14 fellowship-trained spine surgeons experienced with spinal deformity surgery to validate the algorithm using a set of 24 cases to establish interobserver reliability. They then re-surveyed the same surgeons 2 months later with the same cases presented in a different sequence to establish intraobserver reliability. Responses were collected and analyzed. Correlation values were determined using SPSS software. RESULTS:Over a 3-month period, 14 fellowship-trained deformity surgeons completed the surveys. Responses for MISDEF2 algorithm case review demonstrated an interobserver kappa of 0.85 for the first round of surveys and an interobserver kappa of 0.82 for the second round of surveys, consistent with substantial agreement. In at least 7 cases, there was perfect agreement between the reviewing surgeons. The mean intraobserver kappa for the 2 surveys was 0.8. CONCLUSIONS:The MISDEF2 algorithm was found to have substantial inter- and intraobserver agreement. The MISDEF2 algorithm incorporates recent advances in MIS surgery. The use of the MISDEF2 algorithm provides reliable guidance for surgeons who are considering either an MIS or an open approach for the treatment of patients with adult spinal deformity.

dc.identifier

2019.7.SPINE181104

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1547-5654

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1547-5646

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https://hdl.handle.net/10161/19581

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eng

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Journal of Neurosurgery Publishing Group (JNSPG)

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Journal of neurosurgery. Spine

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10.3171/2019.7.spine181104

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International Spine Study Group (ISSG)

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The MISDEF2 algorithm: an updated algorithm for patient selection in minimally invasive deformity surgery.

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Journal article

duke.contributor.orcid

Shaffrey, Christopher I|0000-0001-9760-8386

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1

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8

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School of Medicine

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Duke

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Orthopaedics

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Clinical Science Departments

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Neurosurgery

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