Applicational value of 2017 ACR TI-RADS stratification in diagnosing thyroid nodules

To summarize and evaluate the value of applying the thyroid imaging reporting and data system (TI-RADS) released by American College of Radiology (ACR) in 2017 of the thyroid classification, and to propose an optimized classification method based on the result to facilitate more accurate and precise...

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Veröffentlicht in:Beijing da xue xue bao. Journal of Peking University. Yi xue ban 2019-12, Vol.51 (6), p.1067-1070
Hauptverfasser: Fu, P, Chen, W, Cui, L G, Ge, H Y, Wang, S M
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Sprache:chi
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Zusammenfassung:To summarize and evaluate the value of applying the thyroid imaging reporting and data system (TI-RADS) released by American College of Radiology (ACR) in 2017 of the thyroid classification, and to propose an optimized classification method based on the result to facilitate more accurate and precise risk stratification of thyroid nodules. In the study, 342 thyroid nodules assessed by 2017 ACR TI-RADS were retrospectively analyzed. Each nodule had a score, and all the scores of nodules were compared with the pathological results. The proportion of malignant nodules in different scoring ranges was obtained. The diagnostic efficacy of all nodules, nodules above 1 cm and less than or equal to 1 cm was evaluated by ROC curve, respectively. The AUC of all nodules, nodules above 1 cm and less than or equal to 1 cm were 0.907, 0.936 and 0.717, respectively. With the increase of the scores, the proportion of benign nodules decreased gradually, and the proportion of malignant nodules increased, especially nodules of 4-
ISSN:1671-167X