Journal List > Korean J Endocr Surg > v.11(1) > 1060026

M.D., M.D., M.D., M.D., and M.D.: Using Ultrasound Elastography for Making the Differential Diagnosis of Thyroid Nodules

Abstract

Purpose:

Ultrasound (US) elastography is a newly developed imaging technique for assessing tissue stiffness by measuring the degree of the tissue's deformation in response to the application of an external force. This technique has recently been applied for making the diagnosis of nodular thyroid disease. The purpose of this study was to evaluate the diagnostic utility of US elastography for differentiating benign thyroid nodules from malignant thyroid nodules.

Methods:

A total of 63 consecutive patients with thyroid nodules and who were referred for surgical treatment were examined in this study. Seventy-five nodules in these patients were examined by US B-mode, color Doppler US and US elastography. The final diagnosis was obtained from the histologic findings. The tissue stiffness on ultrasound elastography was scored from 1 (elasticity in the whole nodule) to 5 (no elasticity in the nodule and in the posterior shadowing).

Results:

On US elastography, 18 of 32 benign nodules (56.3%) had a score of 1 to 3, whereas 23 of 43 malignant nodules (62.8%) had a score of 4 to 5. With applying a US elastography score of 4-5 as an indicator for malignancy, the sensitivity, specificity, positive predictive value and negative predictive value of US elastography were 65.9%, 52.9%, 62.8% and 56.3%, respectively. Of the 14 follicular tumors, 12 were follicular adenoma and four were follicular carcinoma. The sensitivity and specificity of US elastography for diagnosing follicular carcinoma were 50.0% and 81% (56=69), respectively. The positive and negative predictive values were 55.2% (16=29) and 60.0%, respectively. The accuracy of the technique was 57.1%. The findings of US elastography were not significantly correlated with the histopathologic findings.

Conclusion:

This study has shown that US elastography may be not useful for differentiating between benign and malignant thyroid nodules. Further studies are needed to confirm the usefulness of US elastography for making the differential diagnosis of thyroid nodules.

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Table 1.
Ultrasonographic criteria for thyroid nodules
Category Ultrasonographic findings
Probably benign nodule Simple cyst
 Predominantly cystic nodule
 Comet-tail artifacts with cystic nodule
 Spongiform nodule
Indeterminate nodule
 Isoechoic, hypoechoic or hyperechoic nodule
 Ovoid to round, or irregular shape
 Well-defined smooth or ill-defined
 Rim calcification
Suspicious malignant nodule
 Marked hypoechogenicity
 Spiculated margin
 Taller than wide
 Micro- and macrocalicification
Table 2.
Comparison of ultrasonography and histopathology
Ultrasonography Histopathology Sensitivity Specificity P value
Benign (n=34) Malignant (n=41)
Non-suspicious malignant∗ 27 11 73.2% 79.4% <0.01
Suspicious malignant 7 30      

Non-suspicious malignant includes probable benign and indeterminate nodules in ultrasonography.

Table 3.
Diagnostic value of different ultrasound features for identification of malignant nodules
Feature Benign (n=34) Malignant (n=41) Sensitivity (%) Specificity (%) PPV (%) NPV (%) P value
Hypoechogenicity 13 37 90.2 61.8 74.0 84.0 <0.01
Spiculated margin 7 35 85.4 79.4 83.3 81.8 <0.01
Microcalcification 7 15 36.6 79.4 68.2 50.9 NS
Type III vascularization 11 11 26.8 67.6 50.0 43.4 NS

PPV = positive predictable value; NPV = negative predictable value; NS = not significant.

Table 4.
Elasticity scores in thyroid nodules
Size (cm) Score Benign (n=34) Malignant (n=41) Sensitivity (%) Specificity (%) PPV (%) NPV (%) P value
≤1 1∼3 2 4 73.3 50.0 84.6 33.3 NS
  4∼5 2 11          
>1 1∼3 16 10 61.5 53.3 53.3 61.5 NS
  4∼5 14 16          
All 1∼3 18 14 65.9 52.9 62.8 56.3 NS
  4∼5 16 27          

PPV = positive predictable value; NPV = negative predictable value; NS = not significant.

Table 5.
Elasticity scores in follicular thyroid tumors
  Follicular Follicular      
Score adenoma carcinoma Sensitivity Specificity P value
  (n=10) (n=4)      
2∼3 6 2 50.0% 60.0% NS
4 4 2      
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