Table 5 Results of the agreement analyses
From: Evaluation of a deep learning software for automated measurements on full-leg standing radiographs
Lengths and angles | Sample size (N) | ICC between AI and GT [95% CI] | Intra-reader reliability [95% CI] | ICC between radiologists [95% CI] |
|---|---|---|---|---|
HKA | 331 |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |  > 0.99 [0.99, 1] |
Pelvic obliquity | 150 | 0.97 [0.96, 0.98] | 0.98 [0.95, 0.99] | 0.99 [0.98, 0.99] |
Top leg length | 309 |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |  > 0.99 [0.95, 1] |
Center leg length | 331 |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |
Top femoral length | 312 |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |
Center femoral length | 334 |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |
Tibial length | 344 |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |  > 0.99 [> 0.99, 1] |