Abstract
Purpose
Accurate preoperative diagnosis of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remains an unsolved problem. This study aimed to construct a nomogram and scoring system for predicting LNM based on the clinical characteristics of patients with PTC.
Methods
1400 patients with PTC who underwent thyroidectomy and lymph node dissection at the First Affiliated Hospital of Sun Yat-sen University were retrospectively enrolled and randomly divided into training and internal testing sets. Furthermore, 692 patients with PTC from three other medical centers were collected as external testing sets. Least absolute shrinkage and selection operator (LASSO) was used to screen the predictors, and a nomogram was constructed. In addition, a scoring system was constructed using 10-fold cross-validation. The performances of the two models were verified among datasets and compared with preoperative ultrasound (US).
Results
Six independent predictors were included in the multivariate logistic model: age, sex, US diagnosis of LNM, tumor diameter, location, and thyroid peroxidase antibody level. The areas under the receiver operating characteristic curve (AUROC) (95% confidence interval) of this nomogram in the training, internal testing, and three external testing sets were 0.816 (0.791–0.840), 0.782 (0.727–0.837), 0.759 (0.699–0.819), 0.749 (0.667–0.831), and 0.777 (0.726–0.828), respectively. The AUROC of the scoring system were 0.810 (0.785–0.835), 0.772 (0.718–0.826), 0.736 (0.675–0.798), 0.717 (0.635–0.799) and 0.756 (0.704–0.808), respectively. The prediction performances were both significantly superior to those of preoperative US (P < 0.001).
Conclusion
The nomogram and scoring system performed well in different datasets and significantly improved the preoperative prediction of LNM than US alone.
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Author contributions
X.C., Z.Y. and J.L. supervised the study. X.C., Y.L. and B.L. designed the study. S.L., F.L. and R.L. helped to organize the study. Y.H., W.C., J.Z., X.L., T.X. and Y.H. collected the data. R.L., B.L. and J.L. did the data analysis. S.L., F.L., R.L., B.L. and Y.L. wrote the draft report. X.C. performed critical revision on the manuscript. All authors contributed to the analysis and interpretation of data. All authors approved the final version before submission. The manuscript has been read and approved by all the authors. The requirements for authorship as stated in ICMJE Recommendations have been met. Each author believes that the manuscript represents honest work.
Funding
This study was funded by National Natural Science Foundation of China (82372047, 82271776 and 82103035), Guangzhou Science and Technology Project (2022342), and Research Fund of Medical Science and Technology of Guangdong Province (A2023093).
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This study was approved by the Research Ethics Committee of the FAHSYSU. The requirement for informed consent was waived due to the retrospective nature of the study.
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Luo, S., Lai, F., Liang, R. et al. Clinical prediction models for cervical lymph node metastasis of papillary thyroid carcinoma. Endocrine 84, 646–655 (2024). https://doi.org/10.1007/s12020-023-03632-z
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DOI: https://doi.org/10.1007/s12020-023-03632-z