Thyroid imaging ultrasound combined with Bethesda classification of cytology in thyroid nodule diagnosis

  • Tưởng Thị Hồng Hạnh Bệnh viện Trung ương Quân đội 108
  • Nguyễn Huy Hoàng Bệnh viện Trung ương Quân đội 108
  • Vũ Thị Hoa Bệnh viện Trung ương Quân đội 108
  • Vũ Quang Tiệp Bệnh viện Trung ương Quân đội 108
  • Lê Hồng Vân Bệnh viện Trung ương Quân đội 108
  • Đặng Minh Phương Bệnh viện Trung ương Quân đội 108
  • Vũ Thị Thu Lan Bệnh viện Trung ương Quân đội 108
  • Đỗ Văn Quyền Bệnh viện Trung ương Quân đội 108

Main Article Content

Keywords

Combined Bethesda grading and TI-RADS system to diagnosis thyroid nodules

Abstract

Objective: To study the value of the combined use of high-resolution ultrasound thyroid imaging reporting and data system (TI-RADS) classification and thyroidfine needle aspiration cytology (Bethesda classification) for the qualitative diagnosis of benign and malignant thyroid nodules. Subject and method: This study included 497 patients with 512 thyroid nodules confirmed by histopathology, from September 2019 to August 2020. All patients were evaluated by ultrasound with US machine (GE Logiq S8, US) and cytology with result using Bethesda classification 2017. Result: Of 512 thyroid nodules, 23 nodules with Bethesda 1 (4.5%), 83 nodules with Bethesda 2 (16.2%), 62 nodules with Bethesda 3 (12.1%), 13 nodules with Bethesda 4 (3.1%), 310 nodules with Bethesda 5 (60.6%), 18 nodules with Bethesda 6 (3.5%). The ACR TIRADS (2017) classification included 16 nodules of Tirads 2 (3.1%), 60 nodules of Tirads 3 (11.7%), 122 nodules of Tirads 4 (23.8%), 314 nodules of Tirads 2 (31.3%). The FNA diagnostic value for thyroid cancer with the sensitivity, specificity and accuracy were 78.4%; 59.6%, and 74.6%. The combined diagnostic method of Bethesda and Tirads systems with the sensitivity, specificity, and accuracy were 95.3%, 67.3%, and 89.6%. Conclusion: The combination of US-FNAC (Bethesda classification) and ultrasonography (ACR TIRADS classification) can improve the accuracy of malignant thyroid nodules diagnosis with the sensitivity, specificity, and accuracy were 95.3%, 67.3%, and 89.6%.

Article Details

References

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