Ultrasound validation of predictive model for central cervical lymph node metastasis in papillary thyroid cancer on
| Autor: | Ming-Xu Li, Xiao-Long Li, Jie Chen, Hui-Xiong Xu, Chong-Ke Zhao, Guo Ji, Qiao Wang, Yi-Feng Zhang, Dan Wang, Qing Wei |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Adult Male Proto-Oncogene Proteins B-raf Cancer Research medicine.medical_specialty Multivariate analysis endocrine system diseases Lymph node metastasis Papillary thyroid cancer Thyroid carcinoma 03 medical and health sciences 0302 clinical medicine medicine Humans Prospective Studies Thyroid Neoplasms Pathological Aged Ultrasonography business.industry Ultrasound Univariate General Medicine Middle Aged medicine.disease humanities 030104 developmental biology Logistic Models Oncology Thyroid Cancer Papillary 030220 oncology & carcinogenesis Lymphatic Metastasis Mutation Female Microcalcification Radiology medicine.symptom business |
| Zdroj: | Future oncology (London, England). 16(22) |
| ISSN: | 1744-8301 |
| Popis: | 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 BRAFV600E 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. |
| Databáze: | OpenAIRE |
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