Table 1 Mean femoral and tibial torsion as determined by the Lee and ellipses methods.

From: Artificial intelligence-based automatic assessment of lower limb torsion on MRI

 

Method

Reader

p-values

Post-hoc test details

R1

R2

Alg

Alg vs R1

Alg vs R2

R1 vs R2

Femoral torsion

Lee

16.1 (11.6; 20.6)

18.0 (13.2; 22.9)

15.8 (11.0; 20.6)

 < 0.001

0.859

 < 0.001

 < 0.001

Tibial torsion

Ellipses

33.9 (30.8; 37.0)

34.3 (30.7; 37.9)

35.2 (31.7; 38.6)

0.311

0.212

0.622

0.877

  1. Readers are radiologist 1 (R1), radiologist 2 (R2), and the algorithm (Alg). Means (95% confidence intervals) [°]. Statistical analysis was performed by repeated measures ANOVA followed by pair-wise Tukey's post-hoc test. Results of the other methods of determining femoral (according to the Reikeras, Tomczak, and Murphy methods) and tibial torsion (according to the bimalleolar and talus methods) are detailed in Supplementary Table 2. Adjusted p-values with significant differences indicated in bold type.
Back to article page