Table 1.
Overview of modern algorithms with characteristics
Algorithm* | Components† | Sample‡ | Base rate (%) | Sensitivity (%)§/specificity (%)¶ |
ROMA, 2009 USA7 | CA125, HE4, menopause | 352 Benign 179 OC | 33.7 | 74.7/92.3 |
CPH-I, 2015 International9 | CA125, HE4, age | 809 Benign 246 OC | 23.3 | 95.0/78.4 |
R-OPS, 2016 Thailand10 | CA125, HE4, menopause, ultrasound | 158 Benign 102 OC | 39.2 | 93.9/79.9 |
Benign=benign tumors. OC=Ovarian cancer incl borderline tumors. For CPH-I and R-OPS, the development samples were used.
*Algorithm abbreviation, year of publication, country, and reference.
†Components of the algorithm.
‡Samples of pelvic masses.
§Sensitivity of ovarian cancer identified according to the algorithm.
¶Specificity of benign tumors identified according to the algorithm.
CA125, Cancer antigen 125; CPH-I, Copenhagen Index; HE4, human epididymis protein 4; OC, ovarian cancer, including borderline tumors; ROMA, Risk of Malignancy Algorithm; R-OPS, Rajavithi–Ovarian Predictive Score.