The MISDEF2 algorithm: an updated algorithm for patient selection in minimally invasive deformity surgery.
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.
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https://hdl.handle.net/10161/19581Published Version (Please cite this version)
10.3171/2019.7.spine181104Publication Info
Mummaneni, 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.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
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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