Table 3.
Diagnostic models using multiple ultrasound metrics for the detection of polycystic ovary syndrome (PCOS).
| Model | AIC | R2 (%) |
AUC (95% CI) | Diagnostic Equation† | Se (%) |
Sp (%) |
|---|---|---|---|---|---|---|
| FNPO + SI | 55.69 | 74 | 0.978 (0.959, 0.997) | 0.73 ≤ 0.35(FNPO) − 5.87(SI) | 94 | 93 |
| FNPO + S:A | 56.79 | 73 | 0.980 (0.963, 0.998) | 13.82 ≤ 0.35(FNPO) + 9.21(S:A) | 91 | 93 |
| OV + FNPS | 85.82 | 55 | 0.941 (0.901, 0.981) | 6.75 ≤ 0.31(OV) + 0.47(FNPS) | 89 | 93 |
| FNPS + FDP + SA | 106.70 | 47 | 0.919 (0.873, 0.965) | 4.97 ≤ 51(FNPS) ± 1.15(FDP)‡ + 0.78(SA) | 84 | 81 |
| FNPS + FDP + OA | 106.82 | 47 | 0.921 (0.877, 0.965) | 5.54 ≤ 46(FNPS) ± 1.00(FDP)‡ + 0.62(OA) | 82 | 86 |
| FNPS + FDP + SI | 109.89 | 46 | 0.913 (0.868, 0.959) | −1.06 ≤ 0.62(FNPS) ± 1.27(FDP)‡ − 3.46(SI) | 82 | 76 |
| FNPS + OA | 111.72 | 44 | 0.910 (0.861, 0.959) | 6.85 ≤ 0.48(FNPS) + 0.69(OA) | 88 | 79 |
| FNPS + FDP | 112.54 | 43 | 0.900 (0.766, 0.906) | 3.27 ≤ 58(FNPS) ± 1.16(FDP)‡ | 82 | 83 |
| FNPS + SA | 112.82 | 43 | 0.906 (0.855, 0.958) | 6.31 ≤ 0.56(FNPS) + 0.82(SA) | 85 | 83 |
| FNPS + SI | 117.80 | 41 | 0.897 (0.847, 0.948) | 0.90 ≤ 66(FNPS) − 2.84(SI) | 81 | 78 |
Diagnostic potential was evaluated via logistic regression and ROC curve analysis. AIC, Akaike Information Criterion; AUC, Area under Receiver Operating Characteristic curve; FNPO, follicle number per ovary; SI, stromal index; FNPS, follicle number per cross-section; FDP, follicle distribution pattern; SA, stromal area; OA, ovarian area; S:A, stromal to ovarian area ratio; Se, sensitivity; Sp, specificity.
P<.05 compared with chance alone.
Classification equations are written so that a positive diagnosis is obtained when the equation is true.
When follicles are peripherally distributed add the constant, when they are not, subtract the constant.