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The value of the eu-tirads and acr-tirads in the diagnostic efficiency of thyroid nodules
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Abstract
SUMMARY
Objective: Characteristic of thyroid nodules according to EU-TIRADS
2017 and ACR-TIRADS 2017 classification. Comparison among EUTIRADS and ACR-TIRADS in the diagnostic efficiency of thyroid nodules.
Subject and methods: descriptive cross-sectional study was performed on 233 patients with thyroid nodule who were diagnosed with ultrasound and performed FNA at Dien Quang Center, Bach Mai Hospital from 8/2019 to 8/2020.
Results: 233 patients in study with 233 thyroid nodules, 79 nodules with malignant cells (33.9%), 154 nodules had no malignant cells (66.1%). Malignant nodule are mainly solid nodule (97.5%), 100% sponges and
follicles do not have malignant cells. Hypoechoic solid and irregular margins had high sensitivity and specificity (>70%) in diagnosing malignancies. Very hypoechoic solid and microcalcification has a 100%
specificity in diagnosing malignancies. There is a statistically significant
difference in malignancy between the nuclear group of thyroid with height> = width and height <width. ACR-TIRADS classification has sensitivity 96.2%, specificity 53.9%, PPV 51.7%, NPV 96.5%, accuracy
68.2% . EU-TIRADS classification sensitivity 87.3%, specificity 71.4%,
PPV61.1%, NPV 91.7%, accuracy 76.8%.
Conclusion: ACR-TIRADS and EU-TIRADS classification are well diagnostic efficiency in the diagnosis of malignant and benign thyroid nodules. The ACR-TIRADS classification has a higher sensitivity but less specificity than the EU-TIRADS classification.
Article Details
Keywords
thyroid ultrasound, EU-TIRADS classification, ACRTIRADS classification
References
1. Ezzat S, Sarti DA and Cain DR (1994), Thyroid incidentalomas. Prevalence by palpation and ultrasonography, PubMed, 154(16), 1838-40.
2. Nguyễn Bá Đức (2007), Chẩn đoán và điều trị bệnh ung thư, 152-161.
3. MD Jin Young Kwak , MS Kyung Hwa Han and MD Jung Hyun Yoon (2011), Thyroid Imaging Reporting and Data System for US Features of Nodules : A Step in Establishing Better Stratifi cation of Cancer Risk, Radiology, 260(3), 892-99
4. Alper Ozel, Sukru Mehmet Erturk, Alkin Ercan et al (2012), “The diagnostic efficiency of ultrasound in characterization for thyroid nodules: how many criteria are required to predict malignancy, Med Ultrason, 14(1), 24-28.
5. Boniface Moifo, Emmanuel Oben Takoeta, Joshua Tambe et al (2013), “Reliability of Thyroid Imaging Reporting and Data System (TIRADS) Classification in Differentiating Benign from Malignant Thyroid Nodules, Open Journal of Radiology, 3, 103-107.
6. Moon HJ, Kwak JY and Kim MJ (2010), Can vascularity at power Doppler US help predict thyroid malignancy?, Radiology, 255, 260-9.
7. Luying Gao, Xuehua Xi, Bo Zhang (2019), Comparison among TIRADS (ACR TI-RADS and KWAK- TI-RADS) and 2015 ATA Guidelines in the diagnostic efficiency of thyroid nodules, Pubmed, 64(1):90-96.
8. Nguyễn Thị Thu Thảo (2018), Nghiên cứu giá trị chẩn đoán ung thư tuyến giáp của phân loại EU-TIRADS 2017, Tạp chí điện quang, 33, 12-18.