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一种新型列线图,整合了消融前刺激甲状腺球蛋白和甲状腺球蛋白/促甲状腺激素比值,用于预测中高危分化型甲状腺癌患者的治疗反应:一项双中心回顾性研究。

A novel nomogram integrated with preablation stimulated thyroglobulin and thyroglobulin/thyroid-stimulating hormone ratio to predict the therapeutic response of intermediate‑ and high‑risk differentiated thyroid cancer patients: a bi-center retrospective study.

机构信息

Department of Nuclear Medicine, First Affiliated Hospital of Soochow University, Suzhou, China.

Department of Nuclear Medicine, Suzhou Science and Technology Town Hospital, Suzhou, China.

出版信息

Endocrine. 2024 Jun;84(3):989-998. doi: 10.1007/s12020-023-03625-y. Epub 2023 Dec 12.

Abstract

PURPOSE

To investigate the factors influencing the outcome of radioactive iodine (RAI) treatment in intermediate- to high-risk patients with differentiated thyroid carcinoma (DTC).

METHODS

We enrolled 553 DTC patients who underwent total thyroidectomy and categorized them into two groups according to their response to RAI therapy: excellent response (ER) and non-ER groups. Clinical and pathological characteristics of the patients were collected and retrospectively analyzed using univariate and multivariate binary logistic regression. Receiver operating characteristic (ROC) curves and diagnostic cutoff values were analyzed to assess the predictive value of important quantitative influences on I treatment outcomes. A new nomogram model was developed based on the above independent risk factors. R software was used to develop nomograms with all the independent prognostic factors included.

RESULTS

The multivariate analysis showed that lymph node metastasis (LNM), stimulated thyroglobulin (sTg), thyroglobulin antibodies (TgAb), and sTg/thyroid-stimulating hormone (TSH) were significantly associated with non-ER of DTC patients. In the training set, the consistency index (C-index) of the new column line graph was 0.868 (95% CI 0.865-0.871).

CONCLUSION

We proposed a new nomogram to predict non-ER for DTC with excellent discrimination and calibration.

摘要

目的

探讨影响中高危分化型甲状腺癌(DTC)患者放射性碘(RAI)治疗效果的因素。

方法

我们纳入了 553 例接受全甲状腺切除术的 DTC 患者,并根据他们对 RAI 治疗的反应将其分为两组:完全缓解(ER)组和非 ER 组。收集患者的临床和病理特征,并使用单因素和多因素二项逻辑回归进行回顾性分析。分析受试者工作特征(ROC)曲线和诊断截断值,以评估对 I 治疗结果有重要影响的定量因素的预测价值。基于上述独立危险因素建立了新的列线图模型。使用 R 软件开发包含所有独立预后因素的列线图。

结果

多因素分析显示,淋巴结转移(LNM)、刺激甲状腺球蛋白(sTg)、甲状腺球蛋白抗体(TgAb)和 sTg/促甲状腺激素(TSH)与 DTC 患者的非 ER 显著相关。在训练集中,新列线图的一致性指数(C 指数)为 0.868(95%CI 0.865-0.871)。

结论

我们提出了一种新的列线图,可以预测 DTC 的非 ER,具有良好的区分度和校准度。

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