Displaying all 2 publications

Abstract:
Sort:
  1. Kuan YC, Tan FH
    QJM, 2014 Jun;107(6):475-6.
    PMID: 24106316 DOI: 10.1093/qjmed/hct204
    Matched MeSH terms: Thyroid Nodule/diagnosis*
  2. Tan L, Tan YS, Tan S
    Clin Imaging, 2020 Sep;65:133-137.
    PMID: 32470834 DOI: 10.1016/j.clinimag.2020.04.029
    BACKGROUND: Thyroid Imaging Reporting Data System (TI-RADS) is used to characterize thyroid nodules while reducing unnecessary FNAC. Over the years, several versions of TI-RADS have been developed but there is no consensus on which TI-RADS is the best system. This study aimed to compare the diagnostic accuracy and ability of ACR TI-RADS, EU TI-RADS, K TI-RADS, AI TI-RADS to eliminate unnecessary FNAC.

    METHODS: In this prospective study, thyroid nodules were characterized by using the four TI-RADS systems and US-guided FNAC was done for nodule with the highest ACR TI-RADS score. Correlation between TI-RADS and FNAC results were analyzed.

    RESULTS: Out of 244 thyroid nodules, 100 nodules with either size <1 cm (43 nodules) non-diagnostic or inconclusive FNAC results (57 nodules) were excluded. Seven nodules (4.9%) were confirmed to be malignant on FNAC. K TI-RADS showed 100% sensitivity and NPV but the lowest specificity (40.2%). EU TI-RADS had the highest specificity (83.2%) but the lowest sensitivity (57.1%) and NPV (97.4%). ACR TI-RADS had an average sensitivity (85.7%) and NPV (98.6%). The specificity of ACR TI-RADS (51.1%) was lower than EU TI-RADS but higher than K TI-RADS. AI TI-RADS showed higher specificity (61.8% vs 51.1%, p thyroid could be prevented by applying AI TI-RADS.

    Matched MeSH terms: Thyroid Nodule/diagnosis
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links