Authors: Chong Suh Lee Sung Soo Chung Se Jun Park Dong Min Kim Seong Kee Shin
Publish Date: 2013/07/30
Volume: 23, Issue: 1, Pages: 192-197
Abstract
Eightysix 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 derivedThe PI strongly correlated with the SS r = 078 and a strong correlation was found between the SS and LLL r = 089 and between the SS and MLL r = 083 Based on these correlations the predictive equations of lumbar lordosis were found SS = 080 + 074 PI r = 078 R 2 = 061 LLL = 520 + 087 SS r = 089 R 2 = 080 MLL = 1741 + 096 SS r = 083 R 2 = 068 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° respectivelyThis 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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