Predictive model for selection of upper treated vertebra using a machine learning approach

R Lafage, B Ang, BS Alshabab, J Elysee, F Lovecchio… - World neurosurgery, 2021 - Elsevier
Objective To train and validate an algorithm mimicking decision making of experienced
surgeons regarding upper instrumented vertebra (UIV) selection in surgical correction of
thoracolumbar adult spinal deformity. Methods A retrospective review was conducted of
patients with adult spinal deformity who underwent fusion of at least the lumbar spine (UIV>
L1 to pelvis) during 2013–2018. Demographic and radiographic data were collected. The
sample was stratified into 3 groups: training (70%), validation (15%) and performance …

P84. Predictive model for selection of upper treated vertebra using a machine learning approach

R Lafage, BS Alshabab, J Elysee, FC Lovecchio… - The Spine Journal, 2020 - Elsevier
BACKGROUND CONTEXT Adult Spinal Deformity is a complex pathology; its surgical
treatment requires experience to determine the surgical strategy to adopt. One of the aspects
mainly debated is the selection of the Upper Instrumented Vertebra. To date, there is no
consensus on the optimal upper instrumented vertebra in surgical correction of
thoracolumbar adult spinal deformity and expert opinion is often requested when evaluating
different options. PURPOSE The purpose of the current study was to train and validate an …
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