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Prediction of central lymph node metastasis in papillary thyroid microcarcinoma according to clinicopathologic factors and thyroid nodule sonographic features: a case-control study

机译:根据临床病理因素和甲状腺结节超声特征预测甲状腺乳头状微癌中心淋巴结转移的病例对照研究

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Background: Preoperative diagnosis of central lymph node metastasis (CLNM) poses to be a challenge in clinical node-negative papillary thyroid microcarcinoma (PTMC). This research work aims at investigating the association existing between BRAF mutation, clinicopathological factors, ultrasound characteristics, and CLNM, in addition to establishing a predictive model for CLNM in PTMC. Materials and methods: The study included 673 PTMC patients, already undergone total thyroidectomy or lobectomy with prophylactic central lymph node dissection. The predictor factors were identified through univariate and multivariate analyses. The support vector machine was put to use to develop statistical models, which could predict CLNM on the basis of independent predictors. Results: Tumor size (5 mm), lower location, no well-defined margin, contact of 25% with the adjacent capsule, display of enlarged lymph nodes, and BRAF mutation were independent predictors of CLNM. Through the use of the predictive model, 79.6% of the patients were classified accurately, the sensitivity and specificity amounted to be 85.1% and 75.8%, respectively, and the positive predictive value and negative predictive value stood at 71.6% and 87.6%, respectively. Conclusions: We established a predictive model in order to predict CLNM preoperatively in PTMC when preoperative diagnosis of CLNM was not clear.
机译:背景:术前诊断中心淋巴结转移(CLNM)对临床淋巴结阴性的甲状腺乳头状甲状腺癌(PTMC)构成挑战。这项研究工作旨在调查BRAF突变,临床病理因素,超声特征和CLNM之间存在的关联,以及建立PTMC中CLNM的预测模型。材料和方法:该研究纳入了673例PTMC患者,他们已经接受了全甲状腺切除术或肺叶切除术并进行了预防性中央淋巴结清扫术。通过单因素和多因素分析确定预测因素。支持向量机用于开发统计模型,该模型可以在独立预测变量的基础上预测CLNM。结果:肿瘤大小(> 5 mm),较低的位置,没有明确的切缘,与相邻囊膜的接触> 25%,淋巴结肿大和BRAF突变是CLNM的独立预测因子。通过使用预测模型,准确分类了79.6%的患者,敏感性和特异性分别为85.1%和75.8%,阳性预测值和阴性预测值分别为71.6%和87.6%。 。结论:我们建立了一个预测模型,以在术前对CLNM的诊断尚不清楚的情况下对PTMC的CLNM进行术前预测。

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