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Ultrasound May Better Classify Ovarian Tumors

Nov. 14, 2007 — Experts examining patterns in ultrasound images can more accurately classify ovarian tumors as benign or malignant than can pre-surgical blood tests, according to a study published online in the Nov. 13 Journal of the National Cancer Institute.


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An elevated level of the protein CA-125 in blood is considered an indicator of whether an ovarian tumor is benign or malignant. This measure, however, can often be inaccurate. Another option is an ultrasound examination of the tumor. An experienced ultrasound examiner can often accurately classify an ovarian tumor using a method of pattern recognition.

Dirk Timmerman, M.D., Ph.D., of Katholieke Universiteit Leuven in Belgium and colleagues conducted a prospective study of 1,066 women to compare the ability of these two methods to discriminate between benign and malignant ovarian tumors. All of the women had an ultrasound examination within 120 days of their surgery to remove the tumor. Of these women, 809 had given blood samples before their surgery, and these samples were later analyzed for CA-125.

They found that experienced ultrasound examiners correctly classified 93 percent of the tumors as benign or malignant, while CA-125 levels correctly classified 83 percent of tumors at best.

"We hope our results will encourage responsible parties to expend more effort and more resources to educate and train those who perform gynecologic ultrasound examinations, so that the potential of the ultrasound technique can be maximized," the authors write.

Citations: Van Calster B, Timmerman D, Bourne T, Testa AC, et al. Discrimination Between Benign and Malignant Adnexal Masses by Specialist Ultrasound Examination Versus Serum CA-125. J Natl Cancer Inst 2007; 99: 1706-1714

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The above story is reprinted from materials provided by Journal of the National Cancer Institute, via EurekAlert!, a service of AAAS.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.


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