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Diagnostic value of ultrasound features and sex of fetuses in female patients with papillary thyroid microcarcinoma

机译:超声特征和胎儿性别对女性甲状腺乳头状癌的诊断价值

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摘要

Little work has been done on the prediction of papillary thyroid microcarcinoma in female patients who have given birth to children, which may be different from other people. We performed a retrospective review of female patients who underwent thyroidectomy, aiming at identifying special predictors of papillary thyroid microcarcinoma in female patients who have given birth to children. Univariate analysis was used to identify potential covariates for the prediction of papillary thyroid microcarcinoma. Multivariable logistic regression analysis was used to identify independent predictors and construct a regression model based on a training cohort (246 patients) and then the regression model was validated using an independent cohort (80 patients). We found that having not more than one boy, taller-than-wide shape, poorly defined margin, marked hypoechogenicity, and microcalcification were independent risk factors for the papillary thyroid microcarcinoma in multivariate analyses. The combined predictive formula had a high predictive effect for papillary thyroid microcarcinoma (AUC = 0.938 for training cohort and 0.929 for validation cohort, respectively). The combined predictive formula has clinical value in the prognosis of papillary thyroid microcarcinoma and it may be simple and effective to ask fertility condition of patients to increase the US diagnosis accuracy of papillary thyroid microcarcinoma.
机译:在已生育孩子的女性患者中,关于甲状腺乳头状微癌的预测工作还很少,这可能与其他人有所不同。我们对接受甲状腺切除术的女性患者进行了回顾性研究,旨在确定在已生育孩子的女性患者中乳头状甲状腺微癌的特殊预测因子。单因素分析用于确定潜在的协变量,用于预测甲状腺乳头状微癌。使用多变量logistic回归分析来确定独立的预测因素,并基于训练队列(246例)构建回归模型,然后使用独立队列(80例)验证回归模型。我们发现,在多变量分析中,不多于一个男孩,身高超过宽大的形状,边缘定义不清,显着的回声性和微钙化是乳头状甲状腺微癌的独立危险因素。组合的预测公式对甲状腺乳头状微癌有较高的预测效果(训练队列的AUC = 0.938,验证队列的AUC = 0.929)。联合预测公式对甲状腺乳头状微癌的预后具有临床价值,询问患者的生育状况可能简单有效,提高甲状腺乳头状微癌的美国诊断准确性。

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