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Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.

Authors
 Jin Young Kwak  ;  Kyung Hwa Han  ;  Jung Hyun Yoon  ;  Hee Jung Moon  ;  Eun Ju Son  ;  So Hee Park  ;  Hyun Kyung Jung  ;  Ji Soo Choi  ;  Bo Mi Kim  ;  Eun-Kyung Kim 
Citation
 RADIOLOGY, Vol.260(3) : 892-899, 2011 
Journal Title
RADIOLOGY
ISSN
 0033-8419 
Issue Date
2011
MeSH
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Female ; Humans ; Korea/epidemiology ; Male ; Middle Aged ; Prevalence ; Risk Assessment ; Risk Factors ; Thyroid Neoplasms/diagnostic imaging* ; Thyroid Neoplasms/epidemiology* ; Ultrasonography/statistics & numerical data* ; Young Adult
Abstract
PURPOSE: To develop a practical thyroid imaging reporting and data system (TIRADS) with which to categorize thyroid nodules and stratify their malignant risk.

MATERIALS AND METHODS: The institutional review board approved this retrospective study, and the requirement to obtain informed consent for the review of images and records was waived. From May to December 2008, ultrasonographically (US)-guided fine-needle aspiration biopsy (FNAB) was performed in 3674 focal thyroid nodules in 3414 consecutive patients. The study included the 1658 thyroid nodules (≥1 cm in maximum diameter at US) in 1638 patients (1373 women, 265 men) for which pathologic diagnosis or follow-up findings were available. Univariate and multivariate analyses with generalized estimating equations were performed to investigate the relationship between suspicious US features and thyroid cancer. A score for each significant factor was assigned and multiplied by the β coefficient obtained for each significant factor from multivariate logistic regression analysis. Scores for each significant factor were then added, resulting in an equation that fitted the probability of malignancy in thyroid nodules. The authors evaluated the fitted probability by using a regression equation; the risk of malignancy was determined according to the number of suspicious US features.

RESULTS: The following US features showed a significant association with malignancy: solid component, hypoechogenicity, marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, and taller-than-wide shape. As the number of suspicious US features increased, the fitted probability and risk of malignancy also increased. Positive predictive values according to the number of suspicious US features were significantly different (P < .001).

CONCLUSION: Risk stratification of thyroid malignancy by using the number of suspicious US features allows for a practical and convenient TIRADS
Full Text
http://pubs.rsna.org/doi/full/10.1148/radiol.11110206?pubCode=cgi
DOI
10.1148/radiol.11110206
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kwak, Jin Young(곽진영) ORCID logo https://orcid.org/0000-0002-6212-1495
Kim, Bo Mi(김보미)
Kim, Eun-Kyung(김은경) ORCID logo https://orcid.org/0000-0002-3368-5013
Moon, Hee Jung(문희정) ORCID logo https://orcid.org/0000-0002-5643-5885
Park, So Hee(박소희)
Son, Eun Ju(손은주) ORCID logo https://orcid.org/0000-0002-7895-0335
Yoon, Jung Hyun(윤정현) ORCID logo https://orcid.org/0000-0002-2100-3513
Jung, Hyun Kyung(정현경)
Choi, Ji Soo(최지수)
Han, Kyung Hwa(한경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/94500
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