Ultrasound validation of predictive model for central cervical lymph node metastasis in papillary thyroid cancer on BRAF

被引：9

作者：

Chen, Jie ^{[1
,2
,3
,4
]}

Li, Xiao-Long ^{[1
,2
,3
]}

Zhang, Yi-Feng ^{[1
,2
,3
]}

Wang, Dan ^{[1
,2
,3
]}

Wang, Qiao ^{[1
,2
,3
]}

Zhao, Chong-Ke ^{[1
,2
,3
]}

Li, Ming-Xu ^{[1
,2
,3
]}

Wei, Qing ^{[5
]}

Ji, Guo ^{[5
]}

Xu, Hui-Xiong ^{[1
,2
,3
]}

机构：

[1] Tongji Univ, Shanghai Peoples Hosp 10, Ultrasound Res & Educ Inst, Dept Med Ultrasound,Sch Med, Shanghai 200072, Peoples R China

[2] Tongji Univ, Thyroid Inst, Sch Med, Shanghai 200072, Peoples R China

[3] Shanghai Ctr Thyroid Dis, Shanghai 200072, Peoples R China

[4] Shanghai Jiao Tong Univ, Shanghai Chest Hosp, Dept Med Ultrasound, Sch Med, Shanghai 200030, Peoples R China

[5] Tongji Univ, Shanghai Peoples Hosp 10, Dept Pathol, Sch Med, Shanghai 200072, Peoples R China

来源：

FUTURE ONCOLOGY | 2020年 / 16卷 / 22期

基金：

中国国家自然科学基金;

关键词：

BRAF(V600E) mutation; central cervical lymph node metastasis; papillary thyroid carcinoma; predictive model; ultrasound; POWER DOPPLER; MICROCARCINOMA; MUTATION; CARCINOMA; NODULES; RISK; OSTEOPONTIN; SYSTEM; ASSOCIATION; DIAGNOSIS;

D O I：

10.2217/fon-2020-0069

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Aim: To compare the value of predictive power of the models for central cervical lymph node metastasis (CLNM) in papillary thyroid carcinomas (PTCs). Patients & methods: 220 PTCs were prospectively enrolled into the study with pathological examination. We established a new risk model with univariate and multivariate analyses and receiver-operating characteristic curves were plotted. Z-test was performed to compare the area under two curves and validated the predictive model for central CLNM in PTCs. The comparison of previous and new predictive model was analyzed. Results: Microcalcification, capsule contact or involvement, internal flow and BRAF(V600E) mutation were four independent risk factors for PTCs with central CLNMs. The area under the curves for the new and the previous model were 0.948 and 0.934 (p = 0.572), respectively. Conclusion: Two predictive models showed strong consistency in predicting central CLNM in PTCs. The predictive model may be helpful in selecting appropriate treatment method in PTCs.

引用

页码：1607 / 1618

页数：12

共 39 条

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