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Value of 2017 thyroid imaging reporting and data system in diagnosis of benign and malignant thyroid nodules / 中国介入影像与治疗学
Chinese Journal of Interventional Imaging and Therapy ; (12): 162-166, 2019.
Article in Chinese | WPRIM | ID: wpr-862162
ABSTRACT
Objective To explore the value of 2017 thyroid imaging reporting and data system (TI-RADS) suggested by American College of Radiology in diagnosis of benign and malignant thyroid nodules. Methods According to 2017 TI-RADS, the sonographic features of 1 109 pathologically diagnosed thyroid nodules in 1 039 patients were retrospectively analyzed. Taken coarse needle biopsy or surgical pathology as the gold standards, the diagnostic efficacy of 2017 TI-RADS for different types of nodules was analyzed. Results Of 1 109 nodules, 551 were benign and 558 were malignant. The composition, echogenicity, aspect ratio, boundary and calcification were statistically different between benign and malignant nodules (all P<0.05). The probability of malignancy in nodules with a classification of TI-RADS 2, 3, 4 and 5 was 0, 5.45% (3/55), 22.29% (39/175) and 58.84% (516/877), respectively, which had statistical difference (P<0.001). When TI-RADS classification were larger than 4, the diagnostic sensitivity, specificity, accuracy, positive predictive value and negative predictive value was 99.46% (555/558), 9.80% (54/551), 54.91% (609/1 109), 52.76% (555/1 052) and 94.74% (54/57), respectively. Conclusion 2017 TI-RADS classification is based on the morphology and maximum diameter management of thyroid nodules, demonstrating clinical application value in evaluating malignant nodules, but the specificity is low, therefore needing further improvement.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline Language: Chinese Journal: Chinese Journal of Interventional Imaging and Therapy Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline Language: Chinese Journal: Chinese Journal of Interventional Imaging and Therapy Year: 2019 Type: Article