Literature DB >> 12322845

Color Doppler ultrasonography for prediction of malignant ovarian tumors.

Mongkol Benjapibal1, Prasert Sunsaneevitayakul, Dittakarn Boriboonhirunsarn, Anuwat Sutanthavibul, Manoch Chakorngowit.   

Abstract

The purpose of this cross-sectional study was to evaluate whether the pulsatility index determined by the color Doppler sonography could be used to distinguish between benign and malignant ovarian tumors. A total of 120 patients who had their ovarian tumors removed surgically at the Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University were included in the study. Each patient had color Doppler sonography performed prior to laparotomy. The Doppler results were compared to the histological diagnosis of the ovarian tumors. Of the 113 patients whose intratumoral blood flow could be evaluated, the pulsatility index was significantly lower in malignant lesions than in benign lesions (0.85 +/- 0.46 vs 1.63 +/- 0.64, p<0.001). The sensitivity, specificity, and accuracy of the pre-operative pulsatility index (< or = 1.0) in detecting malignant ovarian tumors were 82.9 per cent, 80.8 per cent, and 81.4 per cent, respectively; with 65.9 per cent positive predictive value, 91.3 per cent negative predictive value, 19.2 per cent false positive rate, and 17.1 per cent false negative rate. The present results suggest that color Doppler sonography may be a useful clinical tool in the pre-operative evaluation of ovarian masses. However, the pulsatility indexes showed considerable overlap between benign and malignant lesions, indicating that color Doppler sonography has limitations in the differentiation of benign from malignant ovarian masses. The cost of the equipment and experience requirement also limits its use in general gynecologic practice.

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Year:  2002        PMID: 12322845

Source DB:  PubMed          Journal:  J Med Assoc Thai        ISSN: 0125-2208


  1 in total

1.  Clinical value of TV-CDS combined with serum tumor markers in diagnosis of ovarian cancer.

Authors:  Chunying Yu; Ting Dou; Yun Liu; Ruirong Liu
Journal:  Oncol Lett       Date:  2020-06-05       Impact factor: 2.967

  1 in total

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