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Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms

OBJECTIVES: To investigate the ability of the currently used ultrasound-based malignancy risk stratification systems for thyroid neoplasms (ATA, AACE/ACE/AME, K-TIRADS, EU-TIRADS, ACR-TIRADS and C-TIRADS) in distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA). Add...

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Autores principales: Lin, Yinghe, Lai, Shuiqing, Wang, Peiqing, Li, Jinlian, Chen, Zhijiang, Wang, Long, Guan, Haixia, Kuang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122875/
https://www.ncbi.nlm.nih.gov/pubmed/34973102
http://dx.doi.org/10.1007/s00330-021-08450-3
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author Lin, Yinghe
Lai, Shuiqing
Wang, Peiqing
Li, Jinlian
Chen, Zhijiang
Wang, Long
Guan, Haixia
Kuang, Jian
author_facet Lin, Yinghe
Lai, Shuiqing
Wang, Peiqing
Li, Jinlian
Chen, Zhijiang
Wang, Long
Guan, Haixia
Kuang, Jian
author_sort Lin, Yinghe
collection PubMed
description OBJECTIVES: To investigate the ability of the currently used ultrasound-based malignancy risk stratification systems for thyroid neoplasms (ATA, AACE/ACE/AME, K-TIRADS, EU-TIRADS, ACR-TIRADS and C-TIRADS) in distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA). Additionally, we evaluated the ability of these systems in correctly determining the indication for biopsy. METHODS: Three hundred twenty-nine follicular neoplasms with definitive postoperative histopathology were included. The nodules were categorized according to each of six stratification systems, based on ultrasound findings. We dichotomized nodules into the positive predictive group of FTC (high and intermediate risk) and negative group of FTC based on the classification results. Missed biopsy was defined as neoplasms that were diagnosed as FTCs but for which biopsy was not indicated based on lesion classification. Unnecessary biopsy was defined as neoplasms that were diagnosed as FTAs but for whom biopsy was considered indicated based on classification. The diagnostic performance and missed and unnecessary biopsy rates were evaluated for each stratification system. RESULTS: The area under the curve of each system for distinguishing follicular neoplasms was < 0.700 (range, 0.511–0.611). The missed biopsy rates were 9.0–22.4%. The missed biopsy rates for lesions ≤ 4 cm and lesions sized 2–4 cm were 16.2–35.1% and 0–20.0%, respectively. Unnecessary biopsy rates were 65.3–93.1%. In ≤ 4 cm group, the unnecessary biopsy rates were 62.2–89.7%. CONCLUSION: The malignancy risk stratification systems can select appropriate nodules for biopsy in follicular neoplasms, while they have limitations in distinguishing follicular neoplasms and reducing unnecessary biopsy. Specific stratification systems and recommendations should be established for follicular neoplasms. KEY POINTS: • Current ultrasound-based malignancy risk stratification systems of thyroid nodules had low efficiency in the characterization of follicular neoplasms. • The adopted stratification systems showed acceptable performance for selecting FTC for biopsy but unsatisfactory performance for reducing unnecessary biopsy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08450-3.
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spelling pubmed-91228752022-05-22 Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms Lin, Yinghe Lai, Shuiqing Wang, Peiqing Li, Jinlian Chen, Zhijiang Wang, Long Guan, Haixia Kuang, Jian Eur Radiol Head and Neck OBJECTIVES: To investigate the ability of the currently used ultrasound-based malignancy risk stratification systems for thyroid neoplasms (ATA, AACE/ACE/AME, K-TIRADS, EU-TIRADS, ACR-TIRADS and C-TIRADS) in distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA). Additionally, we evaluated the ability of these systems in correctly determining the indication for biopsy. METHODS: Three hundred twenty-nine follicular neoplasms with definitive postoperative histopathology were included. The nodules were categorized according to each of six stratification systems, based on ultrasound findings. We dichotomized nodules into the positive predictive group of FTC (high and intermediate risk) and negative group of FTC based on the classification results. Missed biopsy was defined as neoplasms that were diagnosed as FTCs but for which biopsy was not indicated based on lesion classification. Unnecessary biopsy was defined as neoplasms that were diagnosed as FTAs but for whom biopsy was considered indicated based on classification. The diagnostic performance and missed and unnecessary biopsy rates were evaluated for each stratification system. RESULTS: The area under the curve of each system for distinguishing follicular neoplasms was < 0.700 (range, 0.511–0.611). The missed biopsy rates were 9.0–22.4%. The missed biopsy rates for lesions ≤ 4 cm and lesions sized 2–4 cm were 16.2–35.1% and 0–20.0%, respectively. Unnecessary biopsy rates were 65.3–93.1%. In ≤ 4 cm group, the unnecessary biopsy rates were 62.2–89.7%. CONCLUSION: The malignancy risk stratification systems can select appropriate nodules for biopsy in follicular neoplasms, while they have limitations in distinguishing follicular neoplasms and reducing unnecessary biopsy. Specific stratification systems and recommendations should be established for follicular neoplasms. KEY POINTS: • Current ultrasound-based malignancy risk stratification systems of thyroid nodules had low efficiency in the characterization of follicular neoplasms. • The adopted stratification systems showed acceptable performance for selecting FTC for biopsy but unsatisfactory performance for reducing unnecessary biopsy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-021-08450-3. Springer Berlin Heidelberg 2022-01-01 2022 /pmc/articles/PMC9122875/ /pubmed/34973102 http://dx.doi.org/10.1007/s00330-021-08450-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Head and Neck
Lin, Yinghe
Lai, Shuiqing
Wang, Peiqing
Li, Jinlian
Chen, Zhijiang
Wang, Long
Guan, Haixia
Kuang, Jian
Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
title Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
title_full Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
title_fullStr Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
title_full_unstemmed Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
title_short Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
title_sort performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms
topic Head and Neck
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122875/
https://www.ncbi.nlm.nih.gov/pubmed/34973102
http://dx.doi.org/10.1007/s00330-021-08450-3
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