Table 1 Characteristics of patients included in the dataset
From: Evaluation of a deep learning software for automated measurements on full-leg standing radiographs
Patients | Radiographs | |
|---|---|---|
Sample size (n) | 167 | 175 |
Age | ||
Mean ± SD (years) | 49.9 ± 23.6 | |
Range (years) | [3.1–89.0] | |
Number of children | 26 | |
Sex | ||
Women (%) | 103 (61.7%) | 107 (61.1%) |
Men (%) | 64 (38.3%) | 68 (38.9%) |
Imaging modality | ||
Conventional radiography (%) | 121 (72.5%) | 129 (73.7%) |
EOS (%) | 46 (27.5%) | 46 (26.3%) |
Orthopedic implant | ||
Hip prosthesis (%) | 22 (13.2%) | 24 (13.7%) |
Knee prosthesis (%) | 38 (22.8%) | 38 (21.7%) |
Malalignment | ||
Unilateral genu varum (%) | 45 (26.9%) | 48 (27.4%) |
Bilateral genu varum (%) | 38 (22.8%) | 39 (22.3%) |
Unilateral genu valgum (%) | 16 (9.6%) | 17 (9.7%) |
Bilateral genu valgum (%) | 4 (2.4%) | 4 (2.3%) |
Leg length discrepancy (%) | 22 (13.2%) | 22 (12.6%) |