Literature DB >> 27790544

Diagnostic Accuracy of B-mode USG and Doppler Scan for Ovarian Lesions.

Mamta Goyal1, Vinish Kumar Agarwal2.   

Abstract

INTRODUCTION: Ultrasonography (USG) is considered as the primary imaging modality for confirmation of ovarian mass and to differentiate them in to benign or malignant. AIM: The present study was conducted with the aim to evaluate accuracy of B- mode USG and Doppler scan (Colour Doppler + Spectral Doppler) for ovarian lesions.
MATERIALS AND METHODS: The patients included in the study were from those referred with either palpable adnexal mass or incidentally detected adnexal masses. Total 250 women were evaluated by USG, Doppler scan. Only fifty patients who had true ovarian mass intraoperatively and on histopathology were included in study, rest masses were excluded. Study parameters were morphological indexing on B- Mode USG, flow study, vessel arrangement, and vessel morphology and vessel location in Colour Doppler and resistive index and pulsatility index in spectral Doppler.
RESULTS: Total 50 women were included in present study. Out of these 46% were pre-menopausal while 54% were menopaused women, 66.7% of post-menopausal women had malignant ovarian masses compared to 8.7% of premenopausal. Sensitivity, specificity, positive predictive value and negative predictive value of B-Mode USG for ovarian masses were 94.44%, 48.15%, 54.84% and 92.86% respectively, with p-value = 0.007, while sensitivity, specificity, positive predictive value and negative predictive value of Doppler scan were 85%, 90%, 85% and 90% respectively, with p-value = 0.0001.
CONCLUSION: USG and its different techniques are accepted as the primary imaging modality for early stage diagnosis of an ovarian malignancy. Statistical analysis suggests that Doppler Scan (Colour + Spectral) was more accurate (88%) than B-Mode USG (67%), but author is in view that both of these modalities should be used in conjunction to screen the ovarian lesions.

Entities:  

Keywords:  Adnexal mass; Histopathology; Menopause; Pulsatility index; Resistive index

Year:  2016        PMID: 27790544      PMCID: PMC5072044          DOI: 10.7860/JCDR/2016/20619.8446

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  16 in total

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10.  Multicentre external validation of IOTA prediction models and RMI by operators with varied training.

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