Table 4.
Linear regression models | r | R2 | β SE |
---|---|---|---|
LSA = 95.174 − 0.391L5S + 0.667 SS + 0.392 LL − 0.713 T9SO | 0.812 | 0.660 | Cst : 13.124 L5S : 0.114 SS : 0.172 LL : 0.123 T9SO : 0.288 |
L5S = 121.351 − 0.713 LSA | 0.692 | 0.479 | Cst : 8.35 LSA : 0.116 |
These linear regression models describe the reciprocal relationship between these angular parameters through mathematical equations
β SE Beta coefficient standard error, Cst Constant, L5S L5 anterior slipping, SS Sacral slope, LL L1L5 lumbar lordosis, T9SO T9 sagittal offset, LSA Lumbosacral angle