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KẾT QUẢ ÁP DỤNG PHÂN LOẠI TIRADS (AI-2019) TRONG SIÊU ÂM CHẨN ĐOÁN TỔN THƯƠNG NHÂN TUYẾN GIÁP TẠI VIỆN Y HỌC PHÓNG XẠ VÀ U BƯỚU QUÂN ĐỘI
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Abstract
SUMMARY
Objective: Evaluating the role of TIRADS (AI 2019) classification in ultrasound of thyroid nodule lesions. Subjects and methods: A prospective, cross-sectional study on 134 patients, with 171 thyroid nodules coming for examination and surgical treatment at the Military Institute of Radiation Medicine and Oncology, from August 2023 to May 2024. Results: TIRADS 3, TIRADS 4 and TIRADS 5 thyroid nodules on ultrasound had a cancer risk of 22.2%, 65.0% and 95.2%, respectively. TIRADS ≥4 thyroid nodules had a higher cancer rate than TIRADS <4 thyroid nodules, with OR: 125.96 (95%CI: 26.76 – 592.83). Se, Sp, PPV, NPV and Acc were 98.50%, 65.79%, 90.97%, 92.59% and 91.23%, respectively. ROC curve analysis of TIRADS score in diagnosing thyroid nodule lesions: at the cutoff point of 5.5 (TIRADS 4) with an area under the ROC curve of 0.945, Se, Sp, PPV, NPV and Acc were respectively 93.23%, 84.21%, 95.38%, 78.05% and 91.23%. Conclusion: The higher the TIRADS of thyroid nodules, the higher the risk of thyroid cancer.
Keywords: Ultrasound, thyroid cancer, TIRADS AI-2019.
Article Details
Keywords
Ultrasound, thyroid cancer, TIRADS AI-2019
References
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