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. 2026 Feb 5;16:1733312. doi: 10.3389/fonc.2026.1733312

Table 2.

Model performance across immobilization methods (Isolation Forest, N = 7,539).

Immobilization method N AUC (95% CI) FDR-adjusted P ΔAUC vs Overall Remark
Neck-Thorax Mask + Vacuum Cushion 41 1.000 (1.000 – 1.000) – 0.04 Best performance; ideal stability
Neck-Thorax Mask + Thermoplastic Pad 1,131 0.995 (0.990 – 1.000) 0.3 0.03 Excellent stability; consistent with SRT dual-layer mask
SRT Dual-Layer Mask 388 0.994 (0.987 – 1.000) 0.32 0.03 Excellent stability and reproducibility
Head-Neck-Shoulder Mask + Shaping Pad 2,431 0.971 (0.968 – 0.974) 0.41 0.01 Mainstream fixation; consistent results
Neck-Thorax Mask + Shaping Pad 237 0.971 (0.963 – 0.979) 0.45 0.01 Comparable to head-neck-shoulder pad
SBRT Fixation Frame 51 0.952 (0.931 – 0.972) 0.18 –0.01 Small sample; high precision
Head-Neck-Shoulder Mask 293 0.944 (0.933 – 0.956) 0.22 –0.02 Stable but less constrained
Head-Neck-Shoulder Mask + Vacuum Cushion 369 0.943 (0.934 – 0.952) 0.2 –0.02 Stable hybrid fixation
Head-Neck-Shoulder Mask + Thermoplastic Pad 164 0.933 (0.921 – 0.945) 0.26 –0.03 Moderate variability
Vacuum Cushion 2,225 0.930 (0.927 – 0.933) 0.33 –0.03 Less restrictive; robust overall
U-Mask 173 0.925 (0.912 – 0.938) 0.29 –0.04 Acceptable performance; higher variability
Abdominal Mask + Shaping Pad 30 0.918 (0.900 – 0.936) 0.37 –0.05 Limited sample; larger motion range
Abdominal Mask + Vacuum Cushion 6 0.912 (0.872 – 0.952) 0.44 –0.05 Minimal sample; highest variability
Total 7 539 0.962 (0.959 – 0.965) – – Overall average performance

Overall mean AUC (Isolation Forest, full dataset), 0.962 (0.959 – 0.965). FDR-adjusted P values derived from Kruskal–Wallis tests with Benjamini–Hochberg correction. Positive ΔAUC values indicate higher discrimination relative to the overall model; negative values indicate marginally lower performance. All fixation methods maintained AUC ≥ 0.92, indicating robust generalization across clinical conditions.Subgroups with N < 50 were retained for completeness but should be interpreted as underpowered, and their near-perfect AUC estimates are likely influenced by sampling variability rather than true performance.