Predictive Factors of Skip Metastasis in Papillary Thyroid Cancer
Autor: | Quan Li, Xiaofen Zhou, Yi-Han Sun, Ouchen Wang, Danrong Ye, Haiguang Liu, Yi-Xiang Jin, Xiaohua Zhang, Wen-Xu Jin, Zhou-Ci Zheng |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Adult
Male medicine.medical_specialty Adolescent 030209 endocrinology & metabolism Metastasis Papillary thyroid cancer 03 medical and health sciences Young Adult 0302 clinical medicine Clinical Research Risk Factors medicine Carcinoma Humans Thyroid Neoplasms Young adult Neoplasm Metastasis Thyroid cancer Lymph node Aged Aged 80 and over business.industry General Medicine Middle Aged medicine.disease Confidence interval Carcinoma Papillary Dissection medicine.anatomical_structure Thyroid Cancer Papillary 030220 oncology & carcinogenesis Lymphatic Metastasis Multivariate Analysis Female Radiology Lymph Nodes business |
Zdroj: | Medical Science Monitor : International Medical Journal of Experimental and Clinical Research |
ISSN: | 1643-3750 1234-1010 |
Popis: | BACKGROUND Skip metastasis is defined as metastasis incident to the lateral compartment without involvement of the central compartment, and is generally unpredictable in papillary thyroid cancer (PTC). The present study aimed to investigate the frequency and predictor value of skip metastasis in PTC patients. MATERIAL AND METHODS A total of 355 patients diagnosed with thyroid cancer who had received a prior complete thyroidectomy with bilateral central neck and ipsilateral lateral neck lymph node dissection were enrolled in this study. The clinicopathological and ultrasound features were analyzed. A univariate and multivariate analysis were performed to identify the risk factors of skip metastasis. RESULTS The frequency of skip metastasis was 12.4% (44/355). The PTC patients with skip metastasis exhibited fewer lymph node metastasis, which was more commonly detected in tumor size ≤1 cm (OR 9.354; p=0.001; 95% confidence interval (CI) 1.865-26.735), tumors located in upper pole (OR 3.822; p |
Databáze: | OpenAIRE |
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