Tumor size interpretation for predicting cervical lymph node metastasis using a differentiated thyroid cancer risk model

• DOI: 10.2147/ott.s107187
• Publication Date: 2016-08-14T23:54:52Z
• Authors: Ning Qu; Rong-liang Shi; Shu-wen Yang; Ben Ma; Zhong-wu Lu; Duo Wen; Guo-hua Sun; Yu Wang; Qing-hai Ji
• Keywords: 03 medical and health sciences; 0302 clinical medicine; OncoTargets and Therapy; Original Research; 3. Good health

Lymph node metastasis (LNM) is common in differentiated thyroid cancer (DTC), but management of clinically negative DTC controversial. This study evaluated primary tumor size as a predictor LNM. Multivariate logistic regression analysis was used for patients who were treated with surgery between 2002 and 2012 the Surveillance, Epidemiology, End Results (SEER) database, to determine association at 10 mm increments A predictive model then developed estimate risk LNM DTC, using other clinicopathological characteristics identified from multivariate analysis. We 80,565 eligible SEER database. Final histology confirmed 9,896 (12.3%) cases affected N1a disease 8,194 (10.2%) N1b disease. After classified into subgroups by size, we found that percentages male sex, white race, follicular histology, gross extrathyroidal extension, lateral lymph metastasis, distant gradually increased size. In analysis, significant independent prognostic factor LNM; particular, odds ratio continued increase relative 1-10 baseline. The coefficient waŝ0.20, indicating extra change log(odds ratio) 0.2 per unit increment conclusion, larger tumors are likely have aggressive features metastasize cervical compartment. Multistratification could provide more precise estimates likelihood before surgery.