2022
DOI: 10.3389/fendo.2022.899575
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Validating and Comparing C-TIRADS, K-TIRADS and ACR-TIRADS in Stratifying the Malignancy Risk of Thyroid Nodules

Abstract: The thyroid imaging reporting and data system (TIRADS) was proposed by experts for optimal ultrasound evaluation of malignancy risk of thyroid focal lesions. There are several versions of TIRADS, some of them have been validated sufficiently, and the others have not been well assessed. In this study, a recently launched Chinese version of TIRADS (C-TIRADS) for malignancy risk stratification of thyroid nodules was validated, and the performance was compared to that of the Korean TIRADS (K-TIRADS) and American C… Show more

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Cited by 16 publications
(9 citation statements)
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“…In this study, the sensitivity of the four TIRADS ranged from 81.4 to 91.6%, specificity from 80.9 to 91.1%, and AUC 0.863 to 0.884, which indicates that all TIRADS have a good diagnostic performance. C-TIRADS has the highest sensitivity, while ACR-TIRADS has the highest specificity, consistent with the results of previous studies [ 16 18 ]. The classification screening results corroborated our hypothesis that the partially inconsistently diagnosed results of the four TIRADS for some nodules are precisely the reason for their differential diagnostic performance.…”
Section: Discussionsupporting
confidence: 92%
“…In this study, the sensitivity of the four TIRADS ranged from 81.4 to 91.6%, specificity from 80.9 to 91.1%, and AUC 0.863 to 0.884, which indicates that all TIRADS have a good diagnostic performance. C-TIRADS has the highest sensitivity, while ACR-TIRADS has the highest specificity, consistent with the results of previous studies [ 16 18 ]. The classification screening results corroborated our hypothesis that the partially inconsistently diagnosed results of the four TIRADS for some nodules are precisely the reason for their differential diagnostic performance.…”
Section: Discussionsupporting
confidence: 92%
“…Higher DOR values (ranging from 0 to infinity) indicated better diagnostic performance. The SROC approach is considered the best method for meta-analysis and generates paired sensitivity and specificity estimates [ 6 , 11 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ]. As the discriminatory power of a test increases, the SROC curve more closely approaches the top left corner of the receiver operating characteristic curve (ROC) space (i.e., the point where sensitivity and specificity both equal 1 (100%)) [ 56 ].…”
Section: Methodsmentioning
confidence: 99%
“…After meta-analysis, in the best risk category threshold TR5 of Eu-TIRADS, sensitivity ranged from 66% to 82%; specificity ranged from 75% to 87%; and accuracy ranged from 74% to 82%. 13 studies evaluated C-TIRADS ( 20 , 69 , 70 , 72 , 80 , 87 , 120 , 137 142 ), with sensitivity ranging from 70% (C-TIRADS TR4c) to 95% (C-TIRADS TR4a); specificity ranging from 54% (C-TIRADS TR4a) to 92% (C-TIRADS TR4c); and accuracy ranging from 75% (C-TIRADS TR4a) to 88% (C-TIRADS TR4b). 12 studies evaluated S-Detect ( 45 , 46 , 65 , 112 , 114 , 133 , 134 , 143 – 147 ), with sensitivity ranging from 73% to 88%; specificity ranging from 66% to 86%; accuracy ranging from 72% to 83%.…”
Section: Evidence Synthesismentioning
confidence: 99%