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A multivariable model of BRAF V600E and ultrasonographic features for predicting the risk of central lymph node metastasis in cN0 papillary thyroid microcarcinoma

机译:BRAF V600E的多变量模型和用于预测CN0乳头状甲状腺微癌中央淋巴结转移的风险的超声型特征

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Background: Prophylactic central lymph node dissection (CLND) in papillary thyroid microcarcinoma (PTMC) patients without clinical evidence of central lymph node metastasis (CLNM) remains controversial. The purpose of our study is to identify preoperative predictive factors for finding CLNM in Chinese PTMC patients, which may allow tailored CLND. Methods: We retrospectively reviewed 182 consecutive Chinese PMTC patients with negative central lymph nodes who underwent total thyroidectomy plus central neck dissection from October 2015 to December 2017. Chi-squared and multivariate analysis were performed to evaluate the association of CLNM with ultrasonographic and clinicopathologic characteristics. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the utility of markers in predicting CLNM. Results: The CLNM was found in 39.0% (71 of 182) of cN0 PTMC patients. In multivariate analysis, tumor size7?mm (OR: 3.636, 95% CI: 1.671–7.914), marked hypoechogenicity (OR: 2.686, 95% CI: 1.080–6.678), multifocality (OR: 4.184, 95% CI: 1.707–10.258) and BRAFsupV600E/sup mutation (OR: 5.339, 95% CI: 2.529–11.272) were independent predictors of CLNM. In ROC analysis integrating these predictors, the sensitivity was 63.4% and specificity was 80.2%, and the area under the ROC (AUC) was 0.755. Conclusion: In conclusion, we found tumor size7?mm, marked hypoechogenicity, multifocality, and BRAFsupV600E/sup mutation were risk factors for CLNM. In term of these preoperative risk factors for CLNM, prophylactic CLND should be cautiously performed in cN0 PTMC patients.
机译:背景:乳头状甲状腺微癌(PTMC)中的预防性中央淋巴结解剖(CLND)没有中央淋巴结转移(CLNM)的临床证据仍存在争议。我们的研究目的是识别用于在中国PTMC患者中寻找CLNM的术前预测因素,可以允许量身定制的CLND。方法:首次回顾性地审查了182名连续的中央淋巴结患者,负中枢性淋巴结,从2015年10月到2017年10月接受了总甲状腺切除术加中央颈部解剖。进行了奇平方和多变量分析,评价CLNM与超声波和临床病理特征的关联。进行接收器操作特征(ROC)曲线分析以评估标记在预测CLNM中的效用。结果:CN0(71个中的182个)CN0 ​​PTMC患者中发现了CLNM。在多变量分析中,肿瘤大小> 7?mm(或:3.636,95%CI:1.671-7.914),标记的乳房原性(或:2.686,95%CI:1.080-6.678),多焦度(或:4.184,95%CI: 1.707-10.258)和BRAF V600E 突变(或:5.339,95%CI:2.529-11.272)是CLNM的独立预测因子。在ROC分析中整合这些预测因子,敏感性为63.4%,特异性为80.2%,ROC(AUC)下的面积为0.755。结论:总之,我们发现肿瘤大小> 7?mm,标记的乳房原性,多焦度和BRAF V600e 突变是Clnm的危险因素。对于CLNM的这些术前危险因素,预防性CLND应在CN0 PTMC患者中致致致力于进行。

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