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What is the success of ultrasonography of benign adnexal masses?

机译:超声对良性附件肿块的成功之处是什么?

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Aim: To assess the diagnostic accuracy of the ultrasonographic discrimination of benign adnexal masses. Methods: This was a prospective study, evaluating 245 consecutive cases using real-time gray-scale ultrasonography in a tertiary education hospital. Results: Diagnostic accuracy was high for simple cysts and solid masses as κ-values of 0.824 and 0.816 and accuracy was moderate for endometriomas, dermoid cysts and cystadenomas as κ-values of 0.758, 0.689 and 0.627, respectively, and low for hemorrhagic cysts as a κ-value of 0.587. A logistic regression model was developed using ultrasonographic characteristics of the adnexal masses. Irregularity at lining of the inner wall, presence of solid component, papillary projections and echogenicity were shown to have a strong impact on the diagnosis of benign masses. Conclusion: Although ultrasonography is a useful technique for the diagnosis of benign adnexal masses, it is limited in diagnostic accuracy. Pattern recognition is the most favored method for ultrasonographic diagnosis. Logistic regression analysis can contribute to diagnostic accuracy.
机译:目的:评估超声诊断良性附件包块的准确性。方法:这是一项前瞻性研究,在一家三级教育医院中使用实时灰度超声检查评估了245例连续病例。结果:简单囊肿和实性肿块的诊断准确度较高,κ值为0.824和0.816,子宫内膜瘤,皮样囊肿和囊腺瘤的准确度分别为0.758、0.689和0.627,中等,而出血性囊肿的准确度较低。 κ值为0.587。利用附件肿块的超声特征开发了逻辑回归模型。内壁衬里的不规则性,固体成分的存在,乳头状突起和回声被证明对良性肿块的诊断有很大影响。结论:尽管超声检查是诊断良性附件包块的有用技术,但其诊断准确性受到限制。模式识别是超声诊断中最受欢迎的方法。 Logistic回归分析可以提高诊断准确性。

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