CHARACTERISTICS OF ULTRASOUND IMAGING AND CYTOLOGY IN DIAGNOSTIC OF THYROID NODULES TIRADS 3,4,5 AT VIET TIEP FRIENDSHIP HOSPITAL, 2023

Hồng Phúc Nguyễn, Thị Yến Lê, Đức Hạ Hoàng

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Abstract

Objectives: The aims of this study were to describe characteristics of ultrasound of thyroid nodules TIRADS 3.4.5 and comparison ultrasonographic features suggests malignancy with thyroid cytology. Subjects and methods: a descriptive study of the disease cluster in all patients who met the selection criteria during the study period from August 2023 to October 2023 at Viet Tiep Friendship Hospital, Hai Phong. Results and Conclusions: 184 patients, the average age was 54.53. Female/male = 9/1. Most patients with solid nodules (52.7%) and the rate of malignant lesions in this group also had the highest (13.4%). The lesions with marked hypoechogenicity, an irregular or microlobulated margin, microcalcifications, taller than wide shape had an average sensitivity (22.8% - 55,3%) and a high specificity (94.1% - 96.1%). The ultrasonographic features suggested several important malignancy signs such as marked hypoechogenicity, microcalcifications, irregular or microlobulated margin and taller than wide shape.

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References

Nguyễn Tất Giao, Nguyễn Duy Huề. Nghiên cứu giá trị siêu âm trong phân loại Tirads các tổn thương khu trú tuyến giáp. Tạp chí Điện quang Việt Nam 2016; 24(6): 11-18
2. Trần Thị Hậu. Nghiên cứu đặc điểm lâm sàng, cận lâm sàng của bệnh nhân bướu giáp nhân tuyến giáp được phát hiện tình cờ. Luận văn thạc sĩ Y học, Trường Đại học Y Hà Nội; 2020.
3. Nguyễn Thị Thu. Nghiên cứu đặc điểm lâm sàng và cận lâm sàng của bướu nhân tuyến giáp từ TIRADS 4 trở lên theo phân loại EU – TIRADS 2017. Luận văn chuyên khoa cấp II Nội - Nội tiết. Đại học Y Hà Nội; 2020.
4. Koike E, Noguchi S, Yamashita H, et al. Ultra- sonographic characteristics of thyroid nod- ules: prediction of malignancy. Arch Surg 2001; 136(3): 334–337.
5. Kwak J.Y, Han K.H, Yoon J.H. et al. Thyroid Imaging Reporting and Data System for US Features of Nodules: A Step in Establishing Better Stratification of Cancer Risk. Radiological Society of North America 2011; 260 (3): 892 - 899
6. Moifo B, Takoeta EO, Tambe J, et al. Reliability of Thyroid Imaging Reporting and Data System (TIRADS) Classification in Differentiating Benign from Malignant Thyroid Nodules. Open Journal of Radiology. 2013; 3: 103-107.
7. Moon W.J, Jung SL, Lee JH, et al. Benign and malignant thyroid nodules: US differentiation-multicenter retrospective study. Radiology 2008; 247 (3): 762-770.
8. Papini E, Guglielmi R, Bianchini A, et al. Risk of malignancy in nonpalpable thyroid nod- ules: predictive value of ultrasound and color- Doppler features. J Clin Endocrinol Metab 2002; 87(5): 1941–1946.