2016
DOI: 10.1016/j.ygyno.2016.01.023
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Comparing the Copenhagen Index (CPH-I) and Risk of Ovarian Malignancy Algorithm (ROMA): Two equivalent ways to differentiate malignant from benign ovarian tumors before surgery?

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Cited by 33 publications
(67 citation statements)
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“…74,75 The FDA has approved the use of HE4 and CA 125 for estimating the risk for ovarian cancer in women with a pelvic mass, however, the NCCN Panel does not currently recommend the use of these biomarkers for determining the status of an undiagnosed pelvic mass. [76][77][78][79] Although no direct evidence exists that chest radiography or CT is necessary, panel members felt that it should be part of the overall evaluation of a patient before surgical staging if clinically indicated. Gastrointestinal tract evaluation should be done for mucinous histology to determine if patients have metastases to the ovary or primary mucinous carcinoma of the ovary (see "Mucinous Carcinomas," page 1152).…”
Section: Recommended Workupmentioning
confidence: 99%
“…74,75 The FDA has approved the use of HE4 and CA 125 for estimating the risk for ovarian cancer in women with a pelvic mass, however, the NCCN Panel does not currently recommend the use of these biomarkers for determining the status of an undiagnosed pelvic mass. [76][77][78][79] Although no direct evidence exists that chest radiography or CT is necessary, panel members felt that it should be part of the overall evaluation of a patient before surgical staging if clinically indicated. Gastrointestinal tract evaluation should be done for mucinous histology to determine if patients have metastases to the ovary or primary mucinous carcinoma of the ovary (see "Mucinous Carcinomas," page 1152).…”
Section: Recommended Workupmentioning
confidence: 99%
“…As a predictive index, CPH-I is calculated which is composed of CA125, HE4, and age of patients who were found with adnexal mass. Karlsen [6] and Yoshida [9] indicated that CPH-I has high AUC for the prediction of ovarian cancer (the AUC of CPH-I is 0.959 and 0.960). However, CPH-I which is a predictive model based on biomarkers and clinical information might only lead to a misdiagnosis when used to differentiate ovarian cancer from benign disease.…”
Section: Discussionmentioning
confidence: 99%
“…However, when all ovarian malignant tumors (epithelial OC, borderline tumors, ovarian metastases and nonepithelial OC) are included in the analysis, the performances of both CPH-I and ROMA result significantly reduced (90).…”
Section: From Single-marker Diagnostics To Multivariate Index Assaysmentioning
confidence: 99%