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. 2016:2016:8215834.
doi: 10.1155/2016/8215834. Epub 2016 May 19.

Thyroid Hormones, Autoantibodies, Ultrasonography, and Clinical Parameters for Predicting Thyroid Cancer

Affiliations

Thyroid Hormones, Autoantibodies, Ultrasonography, and Clinical Parameters for Predicting Thyroid Cancer

Lin-Zheng He et al. Int J Endocrinol. 2016.

Abstract

Our objective was to evaluate thyroid nodule malignancy prediction using thyroid function tests, autoantibodies, ultrasonographic imaging, and clinical data. We conducted a retrospective cohort study in 1400 patients with nodular thyroid disease (NTD). The thyroid stimulating hormone (TSH) concentration was significantly higher in patients with differentiated thyroid cancer (DTC) versus benign thyroid nodular disease (BTND) (p = 0.004). The receiver operating characteristic curve of TSH showed an AUC of 0.58 (95% CI 0.53-0.62, p = 0.001), sensitivity of 74%, and specificity of 57% at a cut-off of 1.59 mIU/L. There was an incremental increase in TSH concentration along with the increasing tumor size (p < 0.001). Thyroglobulin antibody (TgAb) concentration was associated with an increased risk of malignancy (p = 0.029), but this association was lost when the effect of TSH was taken into account (p = 0.11). Thyroid ultrasonographic characteristics, including fewer than three nodules, hypoechoic appearance, solid component, poorly defined margin, intranodular or peripheral-intranodular flow, and punctate calcification, can be used to predict the risk of thyroid cancer. In conclusion, our study suggests that preoperative serum TSH concentration, age, and ultrasonographic features can be used to predict the risk of malignancy in patients with NTD.

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Figures

Figure 1
Figure 1
Prevalence of malignancy relative to patient age. Significant increases in the prevalence of malignancy were detected in patients who were younger than 40 years of age (p < 0.001, compared with the 40–49-year group) and in those older than 70 years (p = 0.036, compared with the 60–69-year group).
Figure 2
Figure 2
ROC curve for cancer prediction in a model for preoperative TSH testing.
Figure 3
Figure 3
The distribution of patients based on TSH range and historical diagnosis.
Figure 4
Figure 4
Association of serum TSH concentration and clinicopathological characteristics in differentiated thyroid cancer.

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