Clinical Report: Development of an Online Nomogram for Thyroid Nodules
Overview
This study presents an online nomogram designed for the preoperative evaluation of cytologically indeterminate thyroid nodules (ITNs), demonstrating strong performance in predicting malignancy risk.
Background
Thyroid nodules are prevalent, with a significant portion being indeterminate in nature, posing challenges in clinical management. Accurate differentiation between benign and malignant nodules is crucial to avoid unnecessary surgeries, particularly given the limitations of fine-needle aspiration (FNA) in providing definitive diagnoses.
Data Highlights
Set
AUC (95% CI)
Training Set
0.907 (0.877-0.931)
External Test Set
0.885 (0.821-0.932)
Prospective Validation Set
0.860 (0.762-0.929)
Key Findings
The nomogram incorporates multimodal imaging features, genetic testing, and elastography levels as key markers for diagnosing ITNs.
It demonstrated an AUC of 0.907 in the training set, indicating strong predictive performance.
In external testing, the AUC was 0.885, and in prospective validation, it was 0.860.
The nomogram outperformed traditional clinical and individual scoring models in terms of performance and calibration.
Clinical Implications
The nomogram provides a valuable tool for clinicians in assessing the malignancy risk of ITNs.
Conclusion
The online nomogram developed in this study offers a promising approach to accurately diagnose ITNs.
