Prediction of classical versus non classical papillary thyroid carcinoma subtypes from cytology of nodules classified according to TIRADS

Abstract

Purpose

Our purposes were: 1) to estimate the prediction performance (PP) of cytology in identifying papillary thyroid carcinoma (PTC) subtypes; 2) to explore how the PTC subtypes distribute among the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) categories.

Methods

Nodules were included if both the histology with the PTC subtype report and the cytology report with the possible PTC subtype were available. The PP was calculated by making the proportion of True positives/False positives+false negatives.

Results

309 cytologically “suspicious for malignancy” and “malignant” thyroid nodules with PTC histology were evaluated. ACR TI-RADS categorization for classical PTC was significantly different from non-classical PTC (p-value 0.02). For the whole cohort the PP of cytologically classical cases was 0.74, while that of cytologically non classical cases was 0.41. ACR TI-RADS categorization was not significantly different for aggressive vs non-aggressive PTC subtypes (p-value 0.1). When considering only aggressive or non-aggressive PTC subtypes, the PP of cytologically classical cases was respectively 0.86 and 0.87, while that of cytologically non classical cases was respectively 0.27 and 0.22. The PP of cytologically classical cases was 0.73 and 0.79, respectively for macroPTCs and microPTCs, while that of cytologically non classical cases was 0.55 and 0.33, respectively for macroPTCs and microPTCs.

Conclusion

Cytology examination reliably performed in predicting classical PTC versus non classical PTC subtypes. ACR TI-RADS categorization was significantly different among classical PTC versus non classical PTC subtypes.

Overview publication

TitlePrediction of classical versus non classical papillary thyroid carcinoma subtypes from cytology of nodules classified according to TIRADS
DateNovember 25th, 2023
Issue nameEndocrine
Issue numberv84.2 p560-570
DOI10.1007/s12020-023-03604-3
AuthorsScappaticcio L, Trimboli P, Bellastella G, Ferrazzano P, Clery E, Cozzolino I, Montella M, Fasano M, Pirozzi M, Ferrandes S, Docimo G, Ciardiello F, Franco R & Esposito K
MTGsMTG8
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