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Dataset Information

Evaluation of the diagnostic accuracy of the risk of ovarian malignancy algorithm in women with a pelvic mass.


ABSTRACT:

Objective

It is often difficult to distinguish a benign pelvic mass from a malignancy and tools to help referring physician are needed. The purpose of this study was to validate the Risk of Ovarian Malignancy Algorithm in women presenting with a pelvic mass.

Methods

This was a prospective, multicenter, blinded clinical trial that included women who presented to a gynecologist, a family practitioner, an internist, or a general surgeon with an adnexal mass. Serum HE4 and CA 125 were determined preoperatively. A Risk of Ovarian Malignancy Algorithm score was calculated and classified patients into high-risk and low-risk groups for having a malignancy. The sensitivity, specificity, negative predictive value, and positive predictive value of the Risk of Ovarian Malignancy Algorit

SUBMITTER: Moore RG 

PROVIDER: S-EPMC3594110 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature