TABLE 7.
Subgroup performance of the proposed CorrFABR approach.
| # cases (indolent/aggressive) | AUC | ||
|---|---|---|---|
|
| |||
| Overall | 74 (37/37) | 0.855 ± 0.005 | |
| Gender | |||
| Male | 47 (20/27) | 0.799 ± 0.012 | |
| Female | 27 (17/10) | 0.895 ± 0.015 | |
| Diameter (cm) | |||
| ≤ 2.8 | 18 (12/6) | 0.903 ± 0.040 | |
| 2.9–4.3 | 19 (15/4) | 0.943 ± 0.015 | |
| 4.4–6 | 19 (8/11) | 0.950 ± 0.038 | |
| ≥ 6.1 | 18 (2/16) | 0.419 ± 0.084 | |
| Age (years) | |||
| ≤ 50 | 15 (10/5) | 0.788 ± 0.046 | |
| 51–60 | 21 (12/9) | 0.874 ± 0.024 | |
| 61–70 | 22 (10/12) | 0.822 ± 0.013 | |
| ≥ 71 | 16 (5/11) | 0.927 ± 0.022 | |
Abbreviation: CorrFABR, correlated feature aggregation by region.