Does bethesda category predict aggressive features in malignant thyroid nodules? Academic Article uri icon

Overview

abstract

  • BACKGROUND: It has been speculated that the Bethesda Classification System for thyroid fine-needle aspirate (FNA) may be used to predict aggressive features among histologically proven malignancies. We sought to evaluate whether malignancies that were characterized as Bethesda category V or VI have more aggressive features than malignancies that were category III or IV. METHODS: A prospectively maintained database was reviewed to identify thyroid malignancies treated at a single center from 2004 to 2009. Only cancers that could be definitively matched to a preoperative FNA were included. Associations between Bethesda category, patient demographics, histopathologic findings, and outcomes were examined. RESULTS: A total of 360 cancers were analyzed: 73 (20 %) were Bethesda category III or IV and 287 (80 %) were category V or VI. The majority of Bethesda III and IV cancers were follicular variants of papillary thyroid carcinoma (fvPTC), whereas the majority of Bethesda V and VI cancers were classic PTC (52 and 67 %, respectively, p < 0.01). Extrathyroidal extension (30 vs. 16 %, p = 0.02), lymph node metastases (50 vs. 31 %, p = 0.05), and multifocality (51 vs. 37 %, p = 0.03) were more common among Bethesda V and VI nodules. However, when Bethesda III or IV classic PTC and fvPTC were compared to Bethesda V or VI cancers of the same histologic subtype, there were no differences in any features. Recurrence and overall survival were the same in all groups. CONCLUSIONS: Bethesda category may help to predict the most likely histologic subtype of thyroid cancer, but it does not have any prognostic significance once the histologic diagnosis is known.

publication date

  • June 28, 2013

Research

keywords

  • Carcinoma, Papillary, Follicular
  • Thyroid Neoplasms
  • Thyroid Nodule

Identity

PubMed Central ID

  • PMC4025924

Scopus Document Identifier

  • 84883789284

Digital Object Identifier (DOI)

  • 10.1245/s10434-013-3076-5

PubMed ID

  • 23812773

Additional Document Info

volume

  • 20

issue

  • 11