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Simple prediction method of lumbar lordosis for planning of lumbar corrective surgery: radiological analysis in a Korean population

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Abstract

Purpose

This study aimed at deriving a lordosis predictive equation using the pelvic incidence and to establish a simple prediction method of lumbar lordosis for planning lumbar corrective surgery in Asians.

Methods

Eighty-six asymptomatic volunteers were enrolled in the study. The maximal lumbar lordosis (MLL), lower lumbar lordosis (LLL), pelvic incidence (PI), and sacral slope (SS) were measured. The correlations between the parameters were analyzed using Pearson correlation analysis. Predictive equations of lumbar lordosis through simple regression analysis of the parameters and simple predictive values of lumbar lordosis using PI were derived.

Results

The PI strongly correlated with the SS (r = 0.78), and a strong correlation was found between the SS and LLL (r = 0.89), and between the SS and MLL (r = 0.83). Based on these correlations, the predictive equations of lumbar lordosis were found (SS = 0.80 + 0.74 PI (r = 0.78, R 2 = 0.61), LLL = 5.20 + 0.87 SS (r = 0.89, R 2 = 0.80), MLL = 17.41 + 0.96 SS (r = 0.83, R 2 = 0.68). When PI was between 30° to 35°, 40° to 50° and 55° to 60°, the equations predicted that MLL would be PI + 10°, PI + 5° and PI, and LLL would be PI – 5°, PI – 10° and PI – 15°, respectively.

Conclusion

This simple calculation method can provide a more appropriate and simpler prediction of lumbar lordosis for Asian populations. The prediction of lumbar lordosis should be used as a reference for surgeons planning to restore the lumbar lordosis in lumbar corrective surgery.

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No funds were received in support of this work. No benefits in any form have been or will be received of this manuscript.

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Correspondence to Seong Kee Shin.

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Lee, C.S., Chung, S.S., Park, S.J. et al. Simple prediction method of lumbar lordosis for planning of lumbar corrective surgery: radiological analysis in a Korean population. Eur Spine J 23, 192–197 (2014). https://doi.org/10.1007/s00586-013-2895-1

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  • DOI: https://doi.org/10.1007/s00586-013-2895-1

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