To study the role of Thyroid Imaging Reporting and Data System (TI-RADS) category in ultrasonic diagnosis of thyroid cancer.
Methods:
A total of 75 patients with thyroid diseases who underwent surgery or fine needle aspiration (FNA) were selected. All the patients underwent thyroid examination with high-frequency color Doppler ultrasonography. According to TI-RADS category
63 patients (81 thyroid lesions) with TI-RADS grade 3-5 were r
ecruited. The characteristics of highfrequency color Doppler ultrasonography in diagnosis of thyroid lesions with different TI-RADS grades were compared with the histopathological results. Then the efficacy of TI-RADS category in the identification of thyroid cancer was assessed.
Results:
In all 63 patients (81 thyroid lesions) confirmed by histopathology
28 lesions were TI-RADS grade 3
in which 23 (82.14%) were benign
5 (17.86%) were malignant; 32 lesions were TI-RADS grade 4
and histopathology confirmed 5 (15.63%) were benign
27 (84.37%) were malignant; 21 lesions were TI-RADS grade 5
and all the lesions were malignant confirmed by histopathology (100%). The sensitivity and specificity were 88.67% and 82.14% respectively in the diagnosis of thyroid cancer by TI-RADS category. Statistical differences were found among thyroid lesions with TI-RADS grades 3
4
5 in A/T
margin
boundary
calcification
vascularity and blood flow and resistance index (RI).
Conclusion:
The sensitivity and specificity of TI-RADS category are high in diagnosing thyroid cancer by high-frequency color Doppler ultrasound.
ATA guidelines, Kwak TI-RADS, ACR TI-RADS, and C TI - RADS are compared for the diagnostic performance of thyroid nodules in children
Value of TI-RADS, BRAF V600E mutation analysis and BSRTC in differential diagnosis of thyroid nodules
Fine-needle aspiration biopsy of thyroid nodules: performances of ACR TI-RADS and ATA guideline
Diagnostic value of acoustic radiation force impulse imaging in thyroid nodules of TI-RADS 4 category
Multivariate analysis of ultrasonographic characteristics for differentiating benign and malignant BethesdaⅢ category thyroid nodules
Related Author
GAO Wenhui
SUN Yinghua
JI Xiangpeng
GUO Man
WEN Baojie
ZHANG Jie
JIN Zhibin
YU Pengli
Related Institution
Department of Ultrasonic Diagnosis, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School
Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Department of Ultrasound, Tibet Autonomous Region People&rsquo
Department of Ultrasound, China-Japan Friendship Hospital
Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College