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. 2020 Jul 21;30(11):1775–1779. doi: 10.1136/ijgc-2020-001416

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.