Cargando…

Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?

BACKGROUND: There is controversy about the accuracy of the fine-needle aspiration (FNA) cytology results in large sized thyroid nodules. Our aim was to evaluate the false-negative rate of FNA for large thyroid nodules and the usefulness of the Thyroid Imaging Reporting and Data System (TIRADS) in pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Nam, Se Jin, Kwak, Jin Young, Moon, Hee Jung, Yoon, Jung Hyun, Kim, Eun-Kyung, Koo, Ja Seung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5638398/
https://www.ncbi.nlm.nih.gov/pubmed/29023564
http://dx.doi.org/10.1371/journal.pone.0186242
_version_ 1783270731054841856
author Nam, Se Jin
Kwak, Jin Young
Moon, Hee Jung
Yoon, Jung Hyun
Kim, Eun-Kyung
Koo, Ja Seung
author_facet Nam, Se Jin
Kwak, Jin Young
Moon, Hee Jung
Yoon, Jung Hyun
Kim, Eun-Kyung
Koo, Ja Seung
author_sort Nam, Se Jin
collection PubMed
description BACKGROUND: There is controversy about the accuracy of the fine-needle aspiration (FNA) cytology results in large sized thyroid nodules. Our aim was to evaluate the false-negative rate of FNA for large thyroid nodules and the usefulness of the Thyroid Imaging Reporting and Data System (TIRADS) in predicting false-negative cytology for large thyroid nodules with benign cytology. METHODS: 632 thyroid nodules larger than or equal to 3cm in size with subsequent benign cytology on US-guided FNA were included. US features of internal composition, echogenicity, margin, calcifications, and shape were evaluated, and nodules were classified according to TIRADS. TIRADS category 3 included nodules without any of the following suspicious features:solidity, hypoechogenicity or marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, and taller-than-wide shape. Category 4a, 4b, 4c, and 5 were assigned to nodules showing one, two, three or four, or five suspicious US features, respectively. US features associated with malignancy for these lesions were analyzed and malignancy risk according to TIRADS was calculated. RESULTS: Of the 632 lesions, 23 lesions(3.6%) were malignant and 609(96.4%) were benign, suggesting a 3.6% false-negative rate for FNA cytology. Of the 23 malignant lesions, final pathology was mainly follicular carcinoma minimally invasive(65.2%, 15/23) and the follicular variant of papillary carcinoma(26.1%, 6/23). The malignancy risks of categories 3, 4a, 4b, and 4c nodules were 0.9%, 4.6%, 10.0%, and 11.8%, respectively. CONCLUSION: Large thyroid nodules with benign cytology had a relatively high false-negative risk of 3.6% and TIRADS was helpful in predicting false-negative cytology for these lesions.
format Online
Article
Text
id pubmed-5638398
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-56383982017-10-20 Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology? Nam, Se Jin Kwak, Jin Young Moon, Hee Jung Yoon, Jung Hyun Kim, Eun-Kyung Koo, Ja Seung PLoS One Research Article BACKGROUND: There is controversy about the accuracy of the fine-needle aspiration (FNA) cytology results in large sized thyroid nodules. Our aim was to evaluate the false-negative rate of FNA for large thyroid nodules and the usefulness of the Thyroid Imaging Reporting and Data System (TIRADS) in predicting false-negative cytology for large thyroid nodules with benign cytology. METHODS: 632 thyroid nodules larger than or equal to 3cm in size with subsequent benign cytology on US-guided FNA were included. US features of internal composition, echogenicity, margin, calcifications, and shape were evaluated, and nodules were classified according to TIRADS. TIRADS category 3 included nodules without any of the following suspicious features:solidity, hypoechogenicity or marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, and taller-than-wide shape. Category 4a, 4b, 4c, and 5 were assigned to nodules showing one, two, three or four, or five suspicious US features, respectively. US features associated with malignancy for these lesions were analyzed and malignancy risk according to TIRADS was calculated. RESULTS: Of the 632 lesions, 23 lesions(3.6%) were malignant and 609(96.4%) were benign, suggesting a 3.6% false-negative rate for FNA cytology. Of the 23 malignant lesions, final pathology was mainly follicular carcinoma minimally invasive(65.2%, 15/23) and the follicular variant of papillary carcinoma(26.1%, 6/23). The malignancy risks of categories 3, 4a, 4b, and 4c nodules were 0.9%, 4.6%, 10.0%, and 11.8%, respectively. CONCLUSION: Large thyroid nodules with benign cytology had a relatively high false-negative risk of 3.6% and TIRADS was helpful in predicting false-negative cytology for these lesions. Public Library of Science 2017-10-12 /pmc/articles/PMC5638398/ /pubmed/29023564 http://dx.doi.org/10.1371/journal.pone.0186242 Text en © 2017 Nam et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nam, Se Jin
Kwak, Jin Young
Moon, Hee Jung
Yoon, Jung Hyun
Kim, Eun-Kyung
Koo, Ja Seung
Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
title Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
title_full Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
title_fullStr Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
title_full_unstemmed Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
title_short Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology?
title_sort large (≥3cm) thyroid nodules with benign cytology: can thyroid imaging reporting and data system (tirads) help predict false-negative cytology?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5638398/
https://www.ncbi.nlm.nih.gov/pubmed/29023564
http://dx.doi.org/10.1371/journal.pone.0186242
work_keys_str_mv AT namsejin large3cmthyroidnoduleswithbenigncytologycanthyroidimagingreportinganddatasystemtiradshelppredictfalsenegativecytology
AT kwakjinyoung large3cmthyroidnoduleswithbenigncytologycanthyroidimagingreportinganddatasystemtiradshelppredictfalsenegativecytology
AT moonheejung large3cmthyroidnoduleswithbenigncytologycanthyroidimagingreportinganddatasystemtiradshelppredictfalsenegativecytology
AT yoonjunghyun large3cmthyroidnoduleswithbenigncytologycanthyroidimagingreportinganddatasystemtiradshelppredictfalsenegativecytology
AT kimeunkyung large3cmthyroidnoduleswithbenigncytologycanthyroidimagingreportinganddatasystemtiradshelppredictfalsenegativecytology
AT koojaseung large3cmthyroidnoduleswithbenigncytologycanthyroidimagingreportinganddatasystemtiradshelppredictfalsenegativecytology