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首页> 外文期刊>The Egyptian Journal of Radiology and Nuclear Medicine >Sonographic and Doppler predictors of malignancy in ovarian lesions
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Sonographic and Doppler predictors of malignancy in ovarian lesions

机译:卵巢病变中恶性肿瘤的超声波和多普勒预测因素

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Background:To determine the best sonographic (US) and/or Doppler features that the radiologist can use as predictors or risk factors for ovarian malignancyResultsAmong the examined 156 ovarian lesions, there were 53 malignant and 103 benign lesions. Most of the malignant ovarian lesions were noted in older age than in benign lesions p < 0.001. Majority of the malignant lesions had non-hyperechoic solid component (92.5%); it had the highest sensitivity of 92.5%, specificity of 97%, accuracy of 94.8%, positive predictive value of 94%, negative predictive value of 96%, and AUC of 0.94 in discrimination between benign and malignant ovarian lesions. The presence of papillary projection, the absence of wall definitions and thick wall, and thick septation were noted in 83%, 81%, and 53.8% of the malignant ovarian lesions respectively. Color flow Doppler shows neovascularity in 88.7% of the malignant lesions, 73.6% of them has central blood flow. The multivariate regression analysis revealed that the presence of non-hyperechoic solid component, new vascularity with central location of the blood flow, papillary projection, thick septa, and old age were the most significant parameters in predicting ovarian cancer in decreasing order of frequency according to their odds ratio (19.45, 7.55, 4.56, 3.45, and 1.45, respectively).ConclusionsThe non-hyperechoic solid component, new vascularity with central location of the blood flow, papillary projection, and thick septa were the most significant and consistent US and Doppler predictors of ovarian malignancy in addition to one clinical feature which is the old age ≥ 52 years.
机译:背景:确定放射科医师可以用作卵巢恶性肿瘤的预测因子或危险因素的最佳超声检查和/或多普勒的特征,所以在检查的156个卵巢病变中,有53个恶性和103个良性病变。大多数恶性卵巢病变在老年龄而不是良性病变, p <0.001。大多数恶性病变具有非高清固体组分(92.5%);它具有92.5%的最高敏感性,特异性为97%,精度为94.8%,阳性预测值94%,负预测值为96%,良性和恶性卵巢卵巢病变之间的歧视为0.94的AUC。乳头状突出的存在,壁定义和厚壁的不存在,分别以83%,81%和53.8%的恶性卵巢病变的83%,81%和53.8%注意到。色彩多普勒在88.7%的恶性病变中显示新血管,73.6%有中央血流。多元回归分析表明,非高清固体组分的存在,具有血流中央位置的新血管性,乳头状投影,厚的隔膜和老年人是预测卵巢癌的最重要参数,根据频率下降顺序它们的差距(19.45,7.55,4.56,3.45和1.45分别)。结论非高清固体组分,具有血流,乳头突出和厚隔膜的中央位置的新血管性是最重要的,符合美国和多普勒除了一个临床特征的卵巢恶性肿瘤的预测因素,旧时代≥52岁。

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