J Korean Soc Ultrasound Med.  2007 Dec;26(4):175-182.

Feasibility of an Ultrasonographic Categorical Reporting System for Thyroid Incidentaloma

Affiliations
  • 1Department of Radiology, Kyungpook National University Hospital, Korea. knuhrad@yahoo.co.kr
  • 2Department of Pathology, Kyungpook National University Hospital, Korea.
  • 3Department of Radiology, Daegu Veterans Hospital, Korea.

Abstract

PURPOSE: To evaluate the feasibility of an ultrasonographic category system for the proper management of incidentally found thyroid nodules.
MATERIALS and METHODS
We retrospectively evaluated 2,688 patients who had thyroid nodules and underwent ultrasonography-guided fine needle aspiration biopsy. We made an ultrasonographic categorical reporting system by logistic regression analysis for comparison with the pathologic results of cytology and biopsy.
RESULTS
The distribution of malignancy probability for benign nodules was 0.07 to 0.23 and for malignant nodules was 0.37 to 0.91 (95% confidence intervals). We stratified the distribution of the probability of malignancy of each nodule into 6 categories (category 0, no nodule; 1, highly suggestive of benignancy; 2, probably benign; 3, indeterminate; 4, probably malignant; and 5, highly suggestive of malignancy) and summarized the representative US findings. We compared the category of each nodule with the pathological results. In nodules with surgically proven pathologic diagnoses, benign lesions were 96.1% (348/361) in category 1 and malignant lesions were 98.6% (139/141) in category 5.
CONCLUSION
We suggest that the ultrasonographic category system for thyroid incidentaloma may provide optimal strategies to manage incidentally found thyroid nodules.

Keyword

Thyroid, neoplasms; Thyroid, US

MeSH Terms

Biopsy
Biopsy, Fine-Needle
Diagnosis
Humans
Logistic Models
Retrospective Studies
Thyroid Gland*
Thyroid Nodule
Full Text Links
  • JKSUM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr