Comparison of Four Ultrasonography-Based Risk Stratification Systems in Thyroid Nodules with Nondiagnostic/Unsatisfactory Cytology: A Real-World Study.

fine-needle aspiration nondiagnostic reporting and data system (TIRADS) thyroid thyroid imaging unsatisfactory

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
18 Apr 2021
Historique:
received: 11 03 2021
revised: 10 04 2021
accepted: 13 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

We compared American Thyroid Association (ATA) guidelines, Korean (K)-Thyroid Imaging, Reporting and Data Systems (TIRADS), EU-TIRADS, and American College of Radiology (ACR) TIRADS in diagnosing malignancy for thyroid nodules with nondiagnostic/unsatisfactory cytology. Among 1143 nondiagnostic/unsatisfactory aspirations from April 2011 to March 2016, malignancy was detected in 39 of 89 excised nodules. The minimum malignancy rate was 7.82% in EU-TIRADS 5 and 1.87-3.00% in EU-TIRADS 3-4. In the other systems, the minimum malignancy rate was 14.29-16.19% in category 5 and ≤3% in the remaining categories. Although the EU-TIRADS category ≥ 5 exhibited the highest positive likelihood ratio (LR) of only 2.214, category ≥ 5 in the other systems yielded the highest positive LR of >5. Receiver operating characteristic (ROC) curves of all systems to predict malignancy were located statistically above the diagonal nondiscrimination line (P for ROC curve: EU-TIRADS, 0.0022; all others, 0.0001). The areas under the ROC curve (AUCs) were not significantly different among the four systems. The ATA guidelines, K-TIRADS, and ACR TIRADS may be useful to guide management for nondiagnostic/unsatisfactory nodules. The EU-TIRADS, although also useful, exhibited inferior performance in predicting malignancy for nondiagnostic/unsatisfactory nodules in Korea, an iodine-sufficient area.

Identifiants

pubmed: 33919595
pii: cancers13081948
doi: 10.3390/cancers13081948
pmc: PMC8073392
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Radiology. 2015 Jan;274(1):287-95
pubmed: 25133852
Thyroid. 2017 Jul;27(7):953-959
pubmed: 28463597
Head Neck. 2017 Feb;39(2):269-274
pubmed: 27617626
AJR Am J Roentgenol. 2018 Feb;210(2):412-417
pubmed: 29091005
Acta Cytol. 2011;55(1):38-41
pubmed: 21135520
Thyroid. 2019 Jan;29(1):7-26
pubmed: 30484394
Lancet. 2005 Apr 23-29;365(9469):1500-5
pubmed: 15850636
Korean J Radiol. 2016 May-Jun;17(3):370-95
pubmed: 27134526
Biometrics. 1988 Sep;44(3):837-45
pubmed: 3203132
J Clin Endocrinol Metab. 2019 Jan 1;104(1):95-102
pubmed: 30299457
Thyroid. 2014 May;24(5):832-9
pubmed: 24341462
Cancer. 2000 Jul 1;89(1):192-201
pubmed: 10897018
AJR Am J Roentgenol. 2019 Aug;213(2):W76-W84
pubmed: 30917027
Cancer. 2005 Jun 1;103(11):2269-73
pubmed: 15856429
AJR Am J Roentgenol. 2018 May;210(5):1148-1154
pubmed: 29629797
Thyroid. 2017 Dec;27(12):1463-1468
pubmed: 28946821
JAMA Oncol. 2016 Aug 1;2(8):1023-9
pubmed: 27078145
J Clin Endocrinol Metab. 2020 May 1;105(5):
pubmed: 31690937
BMJ. 1994 Jul 9;309(6947):102
pubmed: 8038641
Radiology. 2013 Jul;268(1):274-80
pubmed: 23525204
Endocr Relat Cancer. 2004 Mar;11(1):131-9
pubmed: 15027890
Sci Rep. 2018 Sep 10;8(1):13503
pubmed: 30202035
J Endocrinol Invest. 2017 Feb;40(2):185-191
pubmed: 27619914
Diagnostics (Basel). 2020 Mar 26;10(4):
pubmed: 32225078
Thyroid. 2017 Nov;27(11):1341-1346
pubmed: 29091573
Eur Thyroid J. 2017 Sep;6(5):225-237
pubmed: 29167761
Am J Clin Pathol. 2009 Nov;132(5):658-65
pubmed: 19846805
Acta Cytol. 2012;56(4):333-9
pubmed: 22846422
Radiology. 2018 Jun;287(3):893-900
pubmed: 29465333
Thyroid. 2016 Jan;26(1):1-133
pubmed: 26462967
Thyroid. 2018 Nov;28(11):1532-1537
pubmed: 30311862
Cancer Med. 2016 May;5(5):769-77
pubmed: 26775803
J Am Coll Radiol. 2017 May;14(5):587-595
pubmed: 28372962
Eur J Endocrinol. 2018 Jun;178(6):595-603
pubmed: 29626008
Cancer. 2015 Jan 15;121(2):259-68
pubmed: 25223713

Auteurs

You-Bin Lee (YB)

Samsung Medical Center, Department of Medicine, Division of Endocrinology and Metabolism, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Young-Lyun Oh (YL)

Samsung Medical Center, Department of Pathology, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Jung-Hee Shin (JH)

Samsung Medical Center, Department of Radiology, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Sun-Wook Kim (SW)

Samsung Medical Center, Department of Medicine, Division of Endocrinology and Metabolism, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Jae-Hoon Chung (JH)

Samsung Medical Center, Department of Medicine, Division of Endocrinology and Metabolism, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Yong-Ki Min (YK)

Samsung Medical Center, Department of Medicine, Division of Endocrinology and Metabolism, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Soo-Yeon Hahn (SY)

Samsung Medical Center, Department of Radiology, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Tae-Hyuk Kim (TH)

Samsung Medical Center, Department of Medicine, Division of Endocrinology and Metabolism, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.

Classifications MeSH