Score based on contrast-enhanced ultrasound predict central lymph node metastasis in papillary thyroid cancer

被引:0
|
作者
He, Lin [1 ]
Chen, Xiao [1 ]
Hu, Jiayin [1 ]
Meng, Yun [1 ]
Zhang, Yan [1 ]
Chen, Wei [1 ]
Fan, Yuhong [1 ]
Li, Tao [1 ]
Fang, Jingqin [1 ]
机构
[1] Army Med Univ, Daping Hosp, Dept Ultrasound, Chongqing, Peoples R China
来源
关键词
papillary thyroid cancer; contrast-enhanced ultrasound; central lymph node; metastasis; predict; score; METAANALYSIS; DIAGNOSIS; FEATURES; NODULES; SYSTEM;
D O I
10.3389/fendo.2024.1336787
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives To investigate the association between contrast-enhanced ultrasound (CEUS) features of PTC and central lymph node metastasis (CLNM) and to develop a predictive model for the preoperative identification of CLNM. Methods This retrospective study evaluated 750 consecutive patients with PTC from August 2020 to April 2023. Conventional ultrasound and qualitative CEUS features were analyzed for the PTC with or without CLNM using univariate and multivariate logistic regression analysis. A nomogram integrating the predictors was constructed to identify CLNM in PTC. The predictive nomogram was validated using a validation cohort. Results A total of 684 patients were enrolled. The 495 patients in training cohort were divided into two groups according to whether they had CLNM (pCLNM, n= 191) or not (nCLNM, n= 304). There were significant differences in terms of tumor size, shape, echogenic foci, enhancement direction, peak intensity, and score based on CEUS TI-RADS between the two groups. Independent predictive US features included irregular shape, larger tumor size (>= 1.0cm), and score. Nomogram integrating these predictive features showed good discrimination and calibration in both training and validation cohort with an AUC of 0.72 (95% CI: 0.68, 0.77) and 0.79 (95% CI: 0.72, 0.85), respectively. In the subgroup with larger tumor size, age <= 35 years, irregular shape, and score > 6 were independent risk factors for CLNM. Conclusion The score based on preoperative CEUS features of PTC may help to identify CLNM. The nomogram developed in this study provides a convenient and effective tool for clinicians to determine an optimal treatment regimen for patients with PTC.
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页数:10
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