Differentiation between Benign and Malignant Solid Thyroid Nodules Using an US Classification System

Abstract

OBJECTIVE To evaluate the diagnostic accuracy of a new ultrasound (US) classification system for differentiating between benign and malignant solid thyroid nodules. MATERIALS AND METHODS In this study, we enrolled 191 consecutive patients who received real-time US and subsequent US diagnoses for solid thyroid nodules, and underwent US-guided fine-needle aspiration. Each thyroid nodule was prospectively classified into 1 of 5 diagnostic categories by real-time US: "malignant," "suspicious for malignancy," "borderline," "probably benign," and "benign". We evaluated the diagnostic accuracy of thyroid US and the cut-off US criteria by comparing the US diagnoses of thyroid nodules with cytopathologic results. RESULTS Of the 191 solid nodules, 103 were subjected to thyroid surgery. US categories for these 191 nodules were malignant (n = 52), suspicious for malignancy (n = 16), borderline (n = 23), probably benign (n = 18), and benign (n = 82). A receiver-operating characteristic curve analysis revealed that the US diagnosis for solid thyroid nodules using the 5-category US classification system was very good. The sensitivity, specificity, positive and negative predictive values, and accuracy of US diagnosis were 86%, 95%, 91%, 92%, and 92%, respectively, when benign, probably benign, and borderline categories were collectively classified as benign (negative). CONCLUSION The diagnostic accuracy of thyroid US for solid thyroid nodules is high when the above-mentioned US classification system is applied.

DOI: 10.3348/kjr.2011.12.5.559

Extracted Key Phrases

9 Figures and Tables

020040060020112012201320142015201620172018
Citations per Year

1,261 Citations

Semantic Scholar estimates that this publication has 1,261 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Lee2011DifferentiationBB, title={Differentiation between Benign and Malignant Solid Thyroid Nodules Using an US Classification System}, author={Young Hun Lee and Dong Wook Kim and Hyun Sin In and Ji Sung Park and Sang - Hyo Kim and Jae Wook Eom and B Joon Kim and Eun Joo Lee and Myung Ho Rho}, booktitle={Korean journal of radiology}, year={2011} }