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首页> 外文期刊>Journal of Clinical Ultrasound: JCU >Sonographic predictors of ovarian malignancy
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Sonographic predictors of ovarian malignancy

机译：卵巢恶性肿瘤的超声检查预测因子

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Purpose: To identify a combination of sonographic features that best predicts ovarian malignancy. Methods: Subjects included 249 women who had a transvaginal sonogram for a pelvic mass at Brigham and Women's Hospital between December 2005 and February 2010. Subjects underwent surgery for removal of the mass and pathologic diagnosis was available. Images were reviewed retrospectively by one sonologist blinded to diagnosis and clinical information. Twelve sonographic features were scored for each mass. The dataset was divided into training (n = 149) and testing (n = 100) sets. Within the training set, a stepwise logistic regression was used to weigh each variable and combination of features to identify those associated with malignancies. Using the results from the logistic regression analyses, we created a three-level risk stratification that was applied to the sonograms of subjects in the testing set to assess its ability to distinguish benign lesions from invasive and borderline cancers. Results: High risk lesions included all masses with internal vascularity. In our testing set, this feature was present in 9 out of 12 (75%) invasive cancers, 1 out of 6 (16.7%) borderline lesions, and 9 out of 82 (11%) benign masses. The intermediate risk level included lesions with a thick wall or thick septa without internal blood flow. This combination of features identified one additional invasive cancer and 5 out of 6 (83.3%) borderline tumors. Masses with low risk features had a 2/49 (4.0%) incidence of malignancy. Conclusions: In the absence of high or intermediate risk sonographic features, the risk of malignancy is low.
机译：目的：确定最能预测卵巢恶性肿瘤的超声特征的组合。方法：受试者包括249位在2005年12月至2010年2月间在百翰医院和妇女医院接受经阴道超声检查的盆腔肿块的女性。受试者接受了手术以去除肿块并进行病理诊断。一位超声医师对诊断和临床信息不知情，对图像进行了回顾性审查。为每个肿块评分十二个超声检查特征。数据集分为训练（n = 149）和测试（n = 100）集。在训练集中，采用逐步逻辑回归来权衡每个变量和特征组合，以识别与恶性肿瘤相关的特征。使用logistic回归分析的结果，我们创建了一个三级风险分层，将其应用于测试集中的受试者的超声检查图，以评估其区分良性病变与浸润性和边缘性癌症的能力。结果：高危病变包括所有具有内部血管的肿块。在我们的测试集中，这种特征存在于12种（75％）浸润性癌中，9种（16.7％）边缘性病变中以及1种在82个良性肿块中（11％）具有。中度风险级别包括壁厚或隔膜厚而无内部血流的病变。这些特征的组合确定了一种额外的浸润性癌和6种边缘性肿瘤中的5种（83.3％）。具有低风险特征的肿块发生恶性肿瘤的比例为2/49（4.0％）。结论：在没有高或中等风险超声检查特征的情况下，恶性肿瘤的风险较低。

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