The MISDEF2 algorithm: an updated algorithm for patient selection in minimally invasive deformity surgery.
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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.
Published Version (Please cite this version)10.3171/2019.7.spine181104
Publication InfoMummaneni, Praveen V; Park, Paul; Shaffrey, Christopher I; Wang, Michael Y; Uribe, Juan S; Fessler, Richard G; ... International Spine Study Group (ISSG) (2019). The MISDEF2 algorithm: an updated algorithm for patient selection in minimally invasive deformity surgery. Journal of neurosurgery. Spine. pp. 1-8. 10.3171/2019.7.spine181104. Retrieved from https://hdl.handle.net/10161/19581.
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Christopher Ignatius Shaffrey
Professor of Orthopaedic Surgery
I have more than 25 years of experience treating patients of all ages with spinal disorders. I have had an interest in the management of spinal disorders since starting my medical education. I performed residencies in both orthopaedic surgery and neurosurgery to gain a comprehensive understanding of the entire range of spinal disorders. My goal has been to find innovative ways to manage the range of spinal conditions, straightforward to complex. I have a focus on managing patients with complex s
Khoi Duc Than
Associate Professor of Neurosurgery
I chose to pursue neurosurgery as a career because of my fascination with the human nervous system. In medical school, I developed a keen interest in the diseases that afflict the brain and spine and gravitated towards the only field where I could help treat these diseases with my own hands. I focus on disorders of the spine where my first goal is to help patients avoid surgery if at all possible. If surgery is needed, I treat patients using the most advanced minimally invasive techniques availa
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