期刊
EUROPEAN RADIOLOGY
卷 22, 期 4, 页码 880-890出版社
SPRINGER
DOI: 10.1007/s00330-011-2331-z
关键词
Indeterminate; Adnexal mass; Ovarian cancer; Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI); Characterisation
To determine whether threshold criteria using semi-quantitative multiphase-dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) can improve prediction of malignancy in complex adnexal masses. MRI features of 70 complex adnexal masses with enhancing components in 63 patients were reviewed and correlated with histopathology (n = 67) or radiological follow-up (n = 3). Masses were categorised as benign (n = 34) or borderline/invasive malignant (n = 36). Borderline lesions (n = 6) were also analysed separately. Using the semi-quantitative breast analysis software, regions of interest were drawn around the most avidly enhancing component of each lesion. Maximum absolute enhancement of signal intensities (SImax), maximum relative enhancement (SIrel) and wash-in rate (WIR) were recorded. Optimal threshold criteria were established to predict borderline/invasive malignancy. There was a significant difference in mean SImax (P < 0.05), SIrel (P < 0.01) and WIR (P < 0.001) between benign and borderline/invasive malignant groups. A cut-off WIR a parts per thousand yen9.5 l/s had a specificity of 88% and positive predictive value of 86% for predicting malignancy, significantly better than conventional MRI (62%, P < 0.01). WIR < 8.2 l/s had a negative predictive value of 94%. Threshold criteria using semi-quantitative multiphase DCE-MRI improves specificity in the prediction of malignancy in complex adnexal masses with enhancing components and is complementary to standard qualitative assessment. aEuro cent Semi-quantitative DCE-MRI threshold criteria are effective for predicting ovarian malignancy aEuro cent The surgical approach may be altered depending on DCE-MRI threshold criteria analysis aEuro cent Borderline tumours demonstrate significant overlap with benign lesions using DCE-MRI threshold criteria.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据