Ultrasonic Feature Prediction of Large-Number Central Lymph Node Metastasis in Clinically Node-Negative Solitary Papillary Thyroid Carcinoma

被引:2
|
作者
Xiao, Weihan [1 ]
Hu, Xiaomin [1 ]
Zhang, Chaoxue [2 ,3 ]
Qin, Xiachuan [1 ,2 ,4 ]
机构
[1] North Sichuan Med Coll, Nanchong Cent Hosp, Clin Med Coll 2, Dept Ultrasound, Nanchong, Sichuan, Peoples R China
[2] Anhui Med Univ, Affiliated Hosp 1, Dept Ultrasound, Hefei, Anhui, Peoples R China
[3] Anhui Med Univ, Affiliated Hosp 1, Dept Ultrasound, Hefei 230022, Anhui, Peoples R China
[4] North Sichuan Med Coll, Nanchong Cent Hosp, Clin Med Coll 2, Dept Ultrasound, Nanchong 637000, Sichuan, Peoples R China
关键词
Large-number central lymph node metastasis; negative clinical lymph nodes; preoperative prediction; single thyroid papillary carcinoma; PROGNOSTIC-SIGNIFICANCE; MICROCARCINOMA; CANCER; RISK; SIZE; CALCIFICATION; SURVIVAL; SYSTEM; FORCE; MODEL;
D O I
10.1080/07435800.2023.2249090
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundThe purpose of this study was to investigate the preoperative prediction of large-number central lymph node metastasis (CLNM) in single thyroid papillary carcinoma (PTC) with negative clinical lymph nodes.MethodsA total of 634 patients with clinically lymph node-negative single PTC who underwent thyroidectomy and central lymph node dissection at the First Affiliated Hospital of Anhui Medical University and the Nanchong Central Hospital between September 2018 and September 2021 were analyzed retrospectively. According to the CLNM status, the patients were divided into two groups: small-number (& LE;5 metastatic lymph nodes) and large-number (>5 metastatic lymph nodes). Univariate and multivariate analyses were used to determine the independent predictors of large-number CLNM. Simultaneously, a nomogram based on risk factors was established to predict large-number CLNM.ResultsThe incidence of large-number CLNM was 7.7%. Univariate and multivariate analyses showed that age, tumor size, and calcification were independent risk factors for predicting large-number CLNM. The combination of the three independent predictors achieved an AUC of 0.806. Based on the identified risk factors that can predict large-number CLNM, a nomogram was developed. The analysis of the calibration map showed that the nomogram had good performance and clinical application.ConclusionIn patients with single PTC with negative clinical lymph nodes large-number CLNM is related to age, size, and calcification in patients with a single PTC with negative clinical lymph nodes. Surgeons and radiologists should pay more attention to patients with these risk factors. A nomogram can help guide the surgical decision for PTC.
引用
收藏
页码:112 / 119
页数:8
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