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[Screening of benign and malignant thyroid nodules in 5 196 physical examination population]
1Cancer Prevent Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Abstract:
Objective: To investigate the distribution characteristics of thyroid nodules and thyroid cancer in physical examination population in Tianjin, and report the outcome of ultrasonography in detection of thyroid nodules. Methods: Enrolled all of physical examination population in our hospital from Jan 1, 2014 to Dec 31, 2014 as our study subjects then the thyroid gland lesions were screened by ultrasound diagnostic technique. The risk assessment of benign and malignant thyroid nodules was assessed by ultrasonography and thyroid imaging reporting and data system (TI-RADS), and the individuals were followed up for 1 year. Results: Among the 5 196 cases, the patients with thyroid nodules was 2 068 cases (39.80%). The thyroid nodules was 35.04% in male and 44.78% in female subjects, lower in females than in male cases (P<0.001). 18 cases of thyroid cancer patients were detected (0.35%). The thyroid cancer rate were 0.34% and 0.36% in male and female respectively (P>0.05). Thyroid nodules increased with age, but the thyroid cancer patients were mainly concentrated in the 30 to 39 years old group and 50 to 59 years old group. All of the thyroid cancer patients underwent surgical treatment, better differentiation thyroid papillary carcinoma (17 cases) in major, most were early stage cancer and micro-cancer, possessing relatively low risk of recurrence. The sensitivity, specificity and accuracy of ultrasonography and TI-RADS diagnosis of thyroid cancer was 72.22%, 98.94% and 98.85%. Conclusions: The detection rate of thyroid nodules in our population is close to 40%, and there are differences between sexes and ages. Ultrasonography and TI-RADS association is an efficient method to detect the nodules in thyroid.
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