abstract: External Validation of Diagnostic Models to Estimate the Risk of Malignancy in Adnexal Masses (in research)

Purpose: To externally validate and compare the performance of previously published diagnostic models developed to predict malignancy in adnexal masses.

Results: Seven hundred and forty-two (74%) benign and 255 (26%) malignant masses were included. ........ The superior performance of the IOTA models was most pronounced in premenopausal patients but was also observed in postmenopausal patients. IOTA models were better able to detect stage I ovarian cancer.

Conclusion: External validation shows that the IOTA models outperform other models, including the current reference test RMI, for discriminating between benign and malignant adnexal masses

Comparison of a novel multiple marker assay vs the Risk of Malignancy Index for the prediction of epithelial ovarian cancer in patients with a pelvic

"CONCLUSION: The dual marker algorithm utilizing HE4 and CA125 to calculate a ROMA value achieves a significantly higher sensitivity for identifying women with EOC than does RMI."

Increasing the Effectiveness of Referral of Ovarian Masses From Cancer Unit to Cancer Center by Using a Higher Referral Value of the Risk of Malig.........

Increasing the Effectiveness of Referral of Ovarian Masses From Cancer Unit to Cancer Center by Using a Higher Referral Value of the Risk of Malignancy Index
Hypothesis

Higher risk of malignancy index (RMI) with multidisciplinary approach will reduce the number of referrals of ovarian masses, thus reducing the stress for patients and workload at the cancer center.
Conclusions: A higher RMI with multidisciplinary approach to refer patients with pelvic masses has the potential to reduce the numbers of benign cases, thus reducing stress for patients and reducing workload at centers.