[Multiple linear regression and ROC curve analysis of the factors of lumbar spine XXXX ].

@entity79 @entity170 @entity1386
OBJECTIVE: To investigate the correlation between the lumbar vertebra @entity79 ( @entity79 ) and age, gender, height, weight, body mass index, waistline, hipline, bone marrow and abdomen fat, and to explore the key factor affecting the @entity79 . METHODS: A total of 72 cases were randomly recruited. All the subjects underwent a spectroscopic examination of the third lumber vertebra with single-voxel method in 1.5T MR. Lipid fractions (FF%) were measured. Quantitative CT were also performed to get the @entity79 of L3 and the corresponding abdomen @entity1386 ( @entity1386 ) and @entity1386 ( @entity1386 ). The statistical analysis were performed by SPSS 19.0. RESULTS: Multiple linear regression showed except the age and FF% showed significant difference (P<0.05) , the gender, height, weight, BMI, waistline, hipline, @entity1386 and @entity1386 showed no significant difference (P>0.05). The correlation of age and FF% with @entity79 was statistically negatively significant (r=-0.830, -0.521, P<0.05). The ROC curve analysis showed that the sensitivety and specificity of predicting @entity170 were 81.8% and 86.9%, with a threshold of 58.5 years old. And it showed that the sensitivety and specificity of predicting @entity170 were 90.9% and 55.7%, with a threshold of 52.8% for FF%. CONCLUSION: The lumbar vertebra @entity79 was significantly and negatively correlated with age and bone marrow FF%, but it was not significantly correlated with gender, height, weight, BMI, waistline, hipline, @entity1386 and @entity1386 . And age was the critical factor.
