Differentiation between Benign and Malignant Solid Thyroid Nodules Using an US Classification System.
10.3348/kjr.2011.12.5.559
- Author:
Young Hun LEE
1
;
Dong Wook KIM
;
Hyun Sin IN
;
Ji Sung PARK
;
Sang Hyo KIM
;
Jae Wook EOM
;
Bomi KIM
;
Eun Joo LEE
;
Myung Ho RHO
Author Information
1. Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan 614-725, Korea. dwultra@lycos.co.kr
- Publication Type:Original Article ; Research Support, Non-U.S. Gov't
- Keywords:
Thyroid nodule;
Solid, Ultrasound;
Fine-needle aspiration;
Classification;
Malignancy
- MeSH:
Biopsy, Fine-Needle;
Cytodiagnosis;
Diagnosis, Differential;
Female;
Humans;
Male;
Middle Aged;
Predictive Value of Tests;
Sensitivity and Specificity;
Thyroid Neoplasms/classification/congenital/pathology/*ultrasonography;
Thyroid Nodule/classification/pathology/*ultrasonography;
Ultrasonography, Interventional
- From:Korean Journal of Radiology
2011;12(5):559-567
- CountryRepublic of Korea
- Language:English
-
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.
