AI Article Synopsis

  • The study evaluated whether the size of thyroid nodules can predict malignancy as effectively as other factors like composition, echogenicity, and shape, in line with ACR guidelines for fine-needle aspiration biopsy (FNAB).
  • Conducted on 86 patients, the research involved categorizing nodules based on size and calculating diagnostic metrics like sensitivity, specificity, and predictive values across different sub-classes.
  • Findings indicated no significant difference in the prediction of malignancy based on size categories, suggesting that the importance of size may not be as clear-cut as the ACR guidelines imply in standardized thyroid assessments.

Article Abstract

We investigated if thyroid nodule size has a predictive value of malignancy on a par with composition, echogenicity, shape, margin, and echogenic foci, and what would be the consequence of observing the rule of the American College of Radiology (ACR) to perform a fine-needle aspiration biopsy (FNAB). We conducted a retrospective real-life observational study on 86 patients who underwent surgery after a standardized diagnostic protocol. We divided the TR3, TR4, and TR5 classes into sub-classes according to the size threshold indicating FNAB (a: up to the threshold for no FNAB; b: over the threshold for FNAB suggested). We computed sensitivity, specificity, and positive (PPV) and negative predictive value (NPV) for the different sub-classes and Youden's index (Y) for the different possible cutoffs. Each sub-class showed the following PPV (0.67, 0.68, 0.70, 0.78, 0.72), NPV (0.56, 0.54, 0.51, 0.52, 0.59), and Y (0.20, 0.20, 0.22, 0.31, 0.30). In this real-life series, we did not find a significant difference in prediction of malignancy between the sub-categories according to the size threshold. All nodules have a pre-evaluation likelihood of being malignant, and the impact and utility of size thresholds may be less clear than suggested by the ACR TIRADS guidelines in patients undergoing standardized thyroid work up.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298589PMC
http://dx.doi.org/10.3390/healthcare11121673DOI Listing

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