Spinal posture and imbalance are known to be related to increased muscle expenditure, with narrow "cone of economy" of muscle effort defining the most comfortable postures. Therefore, it is hypothesized that predicting the posture of the lowest muscle effort available for a patient with a given spinal alignment and body properties will correspond to the posture the patient will most likely assume. Based on established musculoskeletal models, a model application was configured to allow prediction of this optimal posture. This study aims to assess the validity of this approach and the value of using biomechanical modeling for pre-operative planning.
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Difference between model-predicted and observed postural measures - Thoracic Kyphosis (TK)
Timeframe: 3 months
Difference between model-predicted and observed postural measures - Lumbar Lordosis (LL)
Timeframe: 3 Months
Difference between model-predicted and observed postural measures - T1 Pelvic Angle (TPA)
Timeframe: 3 Months
Difference between model-predicted and observed postural measures - Pelvic Incidence-Lumbar Lordosis Mismatch (∆PILL)
Timeframe: 3 Months