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构建并验证经典型甲状腺乳头状癌颈淋巴结转移预测列线图。

Construction and validation of a nomogram for predicting cervical lymph node metastasis in classic papillary thyroid carcinoma.

机构信息

Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Rd, Yuzhong Dist, Chongqing, 404100, People's Republic of China.

出版信息

J Endocrinol Invest. 2021 Oct;44(10):2203-2211. doi: 10.1007/s40618-021-01524-5. Epub 2021 Feb 14.

Abstract

PURPOSE

Patients with papillary thyroid carcinoma (PTC) frequently present a relatively poor prognosis when they coexist with cervical lymph node metastasis (LNM). Moreover, it remains controversial whether prophylactic lymph node dissection (LND) should be performed for patients without clinically lymph node metastasis. Thus, we hereby develop a nomogram for predicting the cervical LNM (including central and lateral LNM) in patients with PTC.

METHODS

We retrospectively reviewed the clinical characteristics of adult patients with PTC in the surveillance, epidemiology, and end results (SEER) database between 2010 and 2015 and in our Department of Breast and Thyroid Surgery in the Second Affiliated Hospital of Chongqing Medical University between 2019 and 2020.

RESULT

A total of 21,972 patients in the SEER database and 747 patients in our department who met the inclusion criteria were enrolled in this study. Ultimately, six clinical features including age, gender, race, extrathyroidal invasion, multifocality, and tumor size were identified to be associated with cervical LNM in patients with PTC, which were screened to develop a nomogram. This model had satisfied discrimination with a concordance index (C-index) of 0.733, supported by both internal and external validation with a C-index of 0.731 and 0.716, respectively. A decision curve analysis was subsequently made to evaluate the feasibility of this nomogram for predicting cervical LNM. Besides, a positive correlation between nomogram score and the average number of lymph node metastases was observed in all groups.

CONCLUSION

This visualized multipopulational-based nomogram model was successfully established. We determined that various clinical characteristics were significantly associated with cervical LNM, which would be better helping clinicians make individualized clinical decisions for PTC patients.

摘要

目的

患有甲状腺乳头状癌(PTC)的患者在伴有颈部淋巴结转移(LNM)时通常预后较差。此外,对于无临床淋巴结转移的患者是否应进行预防性淋巴结清扫(LND)仍存在争议。因此,我们在此开发了一个用于预测 PTC 患者颈部 LNM(包括中央和侧部 LNM)的列线图。

方法

我们回顾性分析了 2010 年至 2015 年监测、流行病学和最终结果(SEER)数据库中以及 2019 年至 2020 年重庆医科大学第二附属医院乳腺甲状腺外科中成人 PTC 患者的临床特征。

结果

SEER 数据库中共有 21972 例患者和我们科室符合纳入标准的 747 例患者纳入本研究。最终,年龄、性别、种族、甲状腺外侵犯、多灶性和肿瘤大小 6 个临床特征被确定与 PTC 患者的颈部 LNM 相关,这些特征被筛选用于开发列线图。该模型具有令人满意的判别能力,内部验证的一致性指数(C 指数)为 0.733,外部验证的 C 指数分别为 0.731 和 0.716。随后进行了决策曲线分析以评估该列线图预测颈部 LNM 的可行性。此外,在所有组中,列线图评分与平均淋巴结转移数之间存在正相关关系。

结论

成功建立了可视化多人群列线图模型。我们确定了各种临床特征与颈部 LNM 显著相关,这将有助于临床医生为 PTC 患者做出个体化的临床决策。

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