Multiple-factor analysis of the first radioactive iodine therapy in post-operative patients with differentiated thyroid cancer for achieving a disease-free status.
Multiple-factor analysis of the first radioactive iodine therapy in post-operative patients with differentiated thyroid cancer for achieving a disease-free status.
复制标题
分化型甲状腺癌术后首次放射性碘治疗达到无病状态的多因素分析
DOI:
10.1038/srep34915
复制
发表时间:
2016-10-10
影响因子:
4.6
通讯作者:
Wang S
中科院分区:
文献类型:
--
作者:
Liu N;Meng Z;Jia Q;Tan J;Zhang G;Zheng W;Wang R;Li X;Hu T;Upadhyaya A;Zhou P;Wang S
131I treatment is an important management method for patients with differentiated thyroid cancer (DTC). Unsuccessful 131I ablation drastically affects the prognosis of the patients. This study aimed to analyze potential predictive factors influencing the achievement of a disease-free status following the first 131I therapy. This retrospective review included 315 DTC patients, and multiple factors were analyzed. Tumor size, pathological tumor stage, lymph node (LN) metastasis, distant metastasis, American Thyroid Association recommended risks, pre-ablation thyroglobulin (Tg), and thyroid stimulating hormone (TSH) displayed significant differences between unsuccessful and successful group. Cutoff values of Tg and TSH to predict a successful outcome were 3.525 ng/mL and 99.700 uIU/ml by receiver operating characteristic curves analysis. Binary logistic regression analysis showed that tumor stage T3 or T4, LN metastasis to N1b station, intermediate and high risks, pre-ablation Tg ≥ 3.525 ng/ml and TSH <99.700 μIU/mL were significantly associated with unsuccessful outcomes. Logistic regression equation for achieving a disease-free status could be rendered as: y (successful treatment) = −0.270–0.503 X1 (LN metastasis) −0.236 X2 (Tg) + 0.015 X3 (TSH). This study demonstrated LN metastasis, pre-ablation Tg and TSH were the most powerful predictors for achieving a disease-free status by the first 131I therapy.
登录
查看更多内容
影响因子:
158.5
作者:
Schlumberger, Martin;Catargi, Bogdan;Benhamou, Ellen
通讯作者:
Benhamou, Ellen
影响因子:
5.8
作者:
Spencer, C.;Petrovic, I.;Fatemi, S.
通讯作者:
Fatemi, S.
影响因子:
6.6
作者:
Rosario, Pedro Weslley;Campos Mineiro Filho, Augusto Flavio;Calsolari, Maria Regina
通讯作者:
Calsolari, Maria Regina
影响因子:
2.5
作者:
Besic, Nikola;Pilko, Gasper;Zgajnar, Janez
通讯作者:
Zgajnar, Janez
影响因子:
6.6
作者:
Chung, Yoo Seung;Kim, Jee Young;Park, Woo-Chan
通讯作者:
Park, Woo-Chan