The New Era of TIRADSs to Stratify the Risk of Malignancy of Thyroid Nodules: Strengths, Weaknesses and Pitfalls.

TI-RADS fine-needle aspiration nodule risk stratification thyroid

Journal

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

Informations de publication

Date de publication:
26 Aug 2021
Historique:
received: 29 06 2021
revised: 22 08 2021
accepted: 23 08 2021
entrez: 10 9 2021
pubmed: 11 9 2021
medline: 11 9 2021
Statut: epublish

Résumé

Since 2009, thyroid imaging reporting and data systems (TI-RADS) have been playing an increasing role in the field of thyroid nodules (TN) imaging. Their common aims are to provide sonologists of varied medical specialties and clinicians with an ultrasound (US) based malignancy risk stratification score and to guide decision making of fine-needle aspiration (FNA). Schematically, all TI-RADSs scores can be classified as either pattern-based or point-based approaches. The main strengths of these systems are their ability (i) to homogenize US TN descriptions among operators, (ii) to facilitate and shorten communication on the malignancy risk of TN between sonologists and clinicians, (iii) to provide quantitative ranges of malignancy risk assessment with high sensitivity and negative predictive values, and (iv) to reduce the number of unnecessary FNAs. Their weaknesses are (i) the remaining inter-observer discrepancies and (ii) their insufficient sensitivity for the diagnosis of follicular cancers and follicular variant of papillary cancers. Most common pitfalls are degenerating shrinking nodules and confusion between individual and coalescent nodules. The benefits of all TI-RADSs far outweigh their shortcomings, explaining their rising use, but the necessity to improve and merge the different existing systems remains.

Identifiants

pubmed: 34503125
pii: cancers13174316
doi: 10.3390/cancers13174316
pmc: PMC8430750
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Références

Eur J Endocrinol. 2013 Apr 15;168(5):649-55
pubmed: 23416955
Cancer Cytopathol. 2020 Apr;128(4):250-259
pubmed: 31899594
AJR Am J Roentgenol. 2021 Jan;216(1):38-47
pubmed: 32603229
J Clin Endocrinol Metab. 2018 Apr 1;103(4):1359-1368
pubmed: 29408952
Eur Radiol. 2021 Jul;31(7):5189-5197
pubmed: 33409792
Radiology. 2017 May;283(2):560-569
pubmed: 27805843
J Clin Endocrinol Metab. 2019 Jan 1;104(1):95-102
pubmed: 30299457
Ultrasound. 2020 Feb;28(1):4-13
pubmed: 32063989
Thyroid. 2017 Aug;27(8):1077-1082
pubmed: 28657511
AJNR Am J Neuroradiol. 2013 Sep;34(9):1812-7
pubmed: 23557957
Korean J Radiol. 2016 Sep-Oct;17(5):811-21
pubmed: 27587972
Pathologe. 2003 Sep;24(5):348-56
pubmed: 12961023
Endocrine. 2021 Apr;72(1):157-170
pubmed: 32852733
Cochrane Database Syst Rev. 2020 Mar 16;3:CD010159
pubmed: 32176812
AJR Am J Roentgenol. 2019 Aug;213(2):W76-W84
pubmed: 30917027
J Am Coll Radiol. 2015 Dec;12(12 Pt A):1272-9
pubmed: 26419308
AJR Am J Roentgenol. 2017 Jun;208(6):1331-1341
pubmed: 28402167
AJR Am J Roentgenol. 2020 May;214(5):1152-1157
pubmed: 32097031
J Exp Clin Cancer Res. 2014 Oct 25;33:87
pubmed: 25344474
AJR Am J Roentgenol. 2018 May;210(5):1148-1154
pubmed: 29629797
Eur Thyroid J. 2020 Jul;9(4):172-185
pubmed: 32903999
Head Neck. 2016 Feb;38(2):309-15
pubmed: 25244250
Endocrine. 2020 Jan;67(1):143-154
pubmed: 31741167
Endocrine. 2019 May;64(2):299-307
pubmed: 30474824
J Ultrasound Med. 2015 Apr;34(4):689-96
pubmed: 25792585
Endocrine. 2019 Jul;65(1):121-131
pubmed: 30830584
Thyroid. 2020 Feb;30(2):237-242
pubmed: 31952456
Cancers (Basel). 2021 Jun 01;13(11):
pubmed: 34205994
J Clin Endocrinol Metab. 2020 May 1;105(5):
pubmed: 31690937
Front Endocrinol (Lausanne). 2018 May 08;9:223
pubmed: 29867759
Radiology. 2011 Sep;260(3):892-9
pubmed: 21771959
Radiology. 2019 Jul;292(1):112-119
pubmed: 31112088
Radiographics. 2017 Nov-Dec;37(7):1994-2017
pubmed: 29131761
Radiology. 2018 Apr;287(1):185-193
pubmed: 29498593
Eur Radiol. 2017 Jun;27(6):2619-2628
pubmed: 27718080
Can Assoc Radiol J. 2019 Feb;70(1):68-73
pubmed: 30691566
J Clin Endocrinol Metab. 2009 May;94(5):1748-51
pubmed: 19276237
Eur J Endocrinol. 2020 Nov;183(5):521-528
pubmed: 32841935
Clin Radiol. 2020 Jun;75(6):466-473
pubmed: 32184000
Eur J Nucl Med Mol Imaging. 2020 Jun;47(6):1518-1526
pubmed: 32152666
J Nucl Med. 2019 Mar;60(3):342-347
pubmed: 30097501
Clin Endocrinol (Oxf). 2019 May;90(5):737-743
pubmed: 30740757
Eur Radiol. 2019 Sep;29(9):4871-4878
pubmed: 30715590
Endocrine. 2018 Sep;61(3):398-402
pubmed: 29744655
AJR Am J Roentgenol. 2016 Apr;206(4):837-45
pubmed: 27003052
Endocr Pract. 2016 May;22(5):622-39
pubmed: 27167915
Einstein (Sao Paulo). 2016 Apr-Jun;14(2):119-23
pubmed: 27462883
J Ultrasound Med. 2018 Apr;37(4):1007-1014
pubmed: 29044641
Ultrasonography. 2016 Apr;35(2):153-8
pubmed: 26760848
Korean J Radiol. 2020 Jan;21(1):108-116
pubmed: 31920034
Thyroid. 2020 Aug;30(8):1159-1168
pubmed: 32303153
Clin Endocrinol (Oxf). 2014 Jul;81 Suppl 1:1-122
pubmed: 24989897
J Thyroid Res. 2017;2017:8135415
pubmed: 28744392
Eur Thyroid J. 2021 Apr;10(2):161-167
pubmed: 33981620
Medicine (Baltimore). 2020 Dec 18;99(51):e23846
pubmed: 33371167
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
Diagn Pathol. 2020 Jan 3;15(1):1
pubmed: 31900180
Clin Endocrinol (Oxf). 2020 Jul;93(1):67-75
pubmed: 32319108
J Clin Endocrinol Metab. 2019 Nov 1;104(11):5665-5672
pubmed: 31310316
Radiology. 2018 Jun;287(3):893-900
pubmed: 29465333
Thyroid. 2016 Jan;26(1):1-133
pubmed: 26462967
Clin Endocrinol (Oxf). 2019 Aug;91(2):340-347
pubmed: 31002419
Korean J Radiol. 2016 May-Jun;17(3):370-95
pubmed: 27134526
Eur Radiol. 2020 Mar;30(3):1653-1663
pubmed: 31732777
Clin Endocrinol (Oxf). 2015 Feb;82(2):280-5
pubmed: 25047365
Korean J Radiol. 2019 Jun;20(6):947-955
pubmed: 31132820
J Am Coll Radiol. 2017 May;14(5):587-595
pubmed: 28372962
Endocrine. 2020 Nov;70(2):256-279
pubmed: 32827126
Eur J Endocrinol. 2020 Sep;183(3):255-264
pubmed: 32544875
Thyroid. 2018 Nov;28(11):1532-1537
pubmed: 30311862

Auteurs

Gilles Russ (G)

Groupe de Recherche Clinique n°16 Tumeurs Thyroïdiennes, Thyroid and Endocrine Tumors Unit, Institute of Endocrinology, Pitié-Salpêtrière Hospital, Sorbonne University, F-75013 Paris, France.

Pierpaolo Trimboli (P)

Clinic for Endocrinology and Diabetology, Lugano Regional Hospital, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland.
Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), 6900 Lugano, Switzerland.

Camille Buffet (C)

Groupe de Recherche Clinique n°16 Tumeurs Thyroïdiennes, Thyroid and Endocrine Tumors Unit, Institute of Endocrinology, Pitié-Salpêtrière Hospital, Sorbonne University, F-75013 Paris, France.

Classifications MeSH