Summary of meta-analyses of studies involving TIRADS classifications (EU-TIRADS, ACR-TIRADS, and K-TIRADS) in evaluating the malignant potential of focal lesions of the thyroid gland
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Ginat DT, Butani D, Giampoli EJ, Patel N, Dogra V: Pearls and pitfalls of thyroid nodule sonography and fine-needle aspiration. Ultrasound Q 2010; 26: 171–178.GinatDTButaniDGiampoliEJPatelNDograVPearls and pitfalls of thyroid nodule sonography and fine-needle aspirationUltrasound Q20102617117810.1097/RUQ.0b013e3181efa71020823751Search in Google Scholar
Remonti LR, Kramer CK, Leitão CB, Pinto LCF, Gross JL: Thyroid ultrasound features and risk of carcinoma: a systematic review and meta-analysis of observational studies. Thyroid 2015; 25: 538–550.RemontiLRKramerCKLeitãoCBPintoLCFGrossJLThyroid ultrasound features and risk of carcinoma: a systematic review and meta-analysis of observational studiesThyroid20152553855010.1089/thy.2014.0353444713725747526Search in Google Scholar
Horvath E, Majlis S, Rossi R, Franco C, Niedmann JP, Castro A et al.: An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab 2009; 94: 1748–1751.HorvathEMajlisSRossiRFrancoCNiedmannJPCastroAet alAn ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical managementJ Clin Endocrinol Metab2009941748175110.1210/jc.2008-172419276237Search in Google Scholar
Russ G, Bonnema SJ, Erdogan MF, Durante C, Ngu R, Leenhardt L: European Thyroid Association guidelines for ultrasound malignancy risk stratification of thyroid nodules in adults: the EU-TIRADS. Eur Thyroid J 2017; 6: 225–237.RussGBonnemaSJErdoganMFDuranteCNguRLeenhardtLEuropean Thyroid Association guidelines for ultrasound malignancy risk stratification of thyroid nodules in adults: the EU-TIRADSEur Thyroid J2017622523710.1159/000478927565289529167761Search in Google Scholar
Yoon JH, Han K, Kim E-K, Moon HJ, Kwak JY: Diagnosis and management of small thyroid nodules: a comparative study with six guidelines for thyroid nodules. Radiology 2017; 283: 560–569.YoonJHHanKKimE-KMoonHJKwakJYDiagnosis and management of small thyroid nodules: a comparative study with six guidelines for thyroid nodulesRadiology201728356056910.1148/radiol.201616064127805843Search in Google Scholar
Skowrońska A, Milczarek-Banach J, Wiechno W, Chudziński W, Żach M, Mazurkiewicz M et al.: Accuracy of the European Thyroid Imaging Reporting and Data System (EU-TIRADS) in the valuation of thyroid nodule malignancy in reference to the post-surgery histological results. Pol J Radiol 2018; 83: e579–586.SkowrońskaAMilczarek-BanachJWiechnoWChudzińskiWŻachMMazurkiewiczMet alAccuracy of the European Thyroid Imaging Reporting and Data System (EU-TIRADS) in the valuation of thyroid nodule malignancy in reference to the post-surgery histological resultsPol J Radiol201883e57958610.5114/pjr.2018.81556638439930800196Search in Google Scholar
Dobruch-Sobczak K, Adamczewski Z, Szczepanek-Parulska E, Migda B, Woliński K, Krauze A et al.: Histopathological verification of the diagnostic performance of the EU-TIRADS classification of thyroid nodules-results of a multicenter study performed in a previously iodine-deficient region. J Clin Med 2019; 8: E1781.Dobruch-SobczakKAdamczewskiZSzczepanek-ParulskaEMigdaBWolińskiKKrauzeAet alHistopathological verification of the diagnostic performance of the EU-TIRADS classification of thyroid nodules-results of a multicenter study performed in a previously iodine-deficient regionJ Clin Med20198E178110.3390/jcm8111781691267131731455Search in Google Scholar
Szczepanek-Parulska E, Wolinski K, Dobruch-Sobczak K, Antosik P, Ostalowska A, Krauze A et al.: S-Detect Software vs. EU-TIRADS Classification: a dual-center validation of diagnostic performance in differentiation of thyroid nodules. J Clin Med 2020; 9: E2495.Szczepanek-ParulskaEWolinskiKDobruch-SobczakKAntosikPOstalowskaAKrauzeAet alS-Detect Software vsEU-TIRADS Classification: a dual-center validation of diagnostic performance in differentiation of thyroid nodules. J Clin Med20209E249510.3390/jcm9082495746471032756510Search in Google Scholar
Słowińska-Klencka D, Wysocka-Konieczna K, Klencki M, Popowicz B: Usability of EU-TIRADS in the diagnostics of Hürthle cell thyroid nodules with equivocal cytology. J Clin Med 2020; 9: E3410.Słowińska-KlenckaDWysocka-KoniecznaKKlenckiMPopowiczBUsability of EU-TIRADS in the diagnostics of Hürthle cell thyroid nodules with equivocal cytologyJ Clin Med20209E341010.3390/jcm9113410769084933114341Search in Google Scholar
Skubisz K, Januszkiewicz-Caulier J, Cybula P, Bakuła-Zalewska E, Goryca K, Paziewska A et al.: Higher EU-TIRADS-score correlated with BRAF V600E positivity in the early stage of papillary thyroid carcinoma. J Clin Med 2021; 10: 2304.SkubiszKJanuszkiewicz-CaulierJCybulaPBakuła-ZalewskaEGorycaKPaziewskaAet alHigher EU-TIRADS-score correlated with BRAF V600E positivity in the early stage of papillary thyroid carcinomaJ Clin Med202110230410.3390/jcm10112304819920534070605Search in Google Scholar
Rozenbaum A, Buffet C, Bigorgne C, Royer B, Rouxel A, Bienvenu M et al.: Outcomes of active surveillance of EU-TIRADS 5 thyroid nodules. Eur J Endocrinol 2021; 184: 677–686.RozenbaumABuffetCBigorgneCRoyerBRouxelABienvenuMet alOutcomes of active surveillance of EU-TIRADS 5 thyroid nodulesEur J Endocrinol202118467768610.1530/EJE-20-148133667192Search in Google Scholar
Trimboli P, Ngu R, Royer B, Giovanella L, Bigorgne C, Simo R et al.: A multicentre validation study for the EU-TIRADS using histological diagnosis as a gold standard. Clin Endocrinol 2019; 91: 340–347.TrimboliPNguRRoyerBGiovanellaLBigorgneCSimoRet alA multicentre validation study for the EU-TIRADS using histological diagnosis as a gold standardClin Endocrinol20199134034710.1111/cen.1399731002419Search in Google Scholar
Castellana M, Grani G, Radzina M, Guerra V, Giovanella L, Deandrea M et al.: Performance of EU-TIRADS in malignancy risk stratification of thyroid nodules: a meta-analysis. Eur J Endocrinol 2020; 183: 255–264.CastellanaMGraniGRadzinaMGuerraVGiovanellaLDeandreaMet alPerformance of EU-TIRADS in malignancy risk stratification of thyroid nodules: a meta-analysisEur J Endocrinol202018325526410.1530/EJE-20-020432544875Search in Google Scholar
Yeste Fernández D, Vega Amenabar E, Coma Muñoz A, Arciniegas Vallejo L, Clemente León M, Planes-Conangla M et al.: Ultrasound criteria (EU-TIRADS) to identify thyroid nodule malignancy risk in adolescents. Correlation with cyto-histological findings. Endocrinol Diabetes Nutr (Engl Ed) 2021; S2530-0164(21)00078-1.YesteFernández DVegaAmenabar EComaMuñoz AArciniegasVallejo LClementeLeón MPlanes-ConanglaMet alUltrasound criteria (EU-TIRADS) to identify thyroid nodule malignancy risk in adolescentsCorrelation with cyto-histological findings. Endocrinol Diabetes Nutr (Engl Ed)2021S2530-0164(21)00078-1Search in Google Scholar
Kovatcheva RD, Shinkov AD, Dimitrova ID, Ivanova RB, Vidinov KN, Ivanova RS: Evaluation of the diagnostic performance of EU-TIRADS in discriminating benign from malignant thyroid nodules: a prospective study in one referral center. Eur Thyroid J 2021; 9: 304–312.KovatchevaRDShinkovADDimitrovaIDIvanovaRBVidinovKNIvanovaRSEvaluation of the diagnostic performance of EU-TIRADS in discriminating benign from malignant thyroid nodules: a prospective study in one referral centerEur Thyroid J2021930431210.1159/000507575792390233718254Search in Google Scholar
Trimboli P, Paone G, Treglia G, Virili C, Ruberto T, Ceriani L et al.: Fine-needle aspiration in all thyroid incidentalomas at 18 F-FDG PET/ CT: Can EU-TIRADS revise the dogma? Clin Endocrinol 2018; 89: 642–648.TrimboliPPaoneGTregliaGViriliCRubertoTCerianiLet alFine-needle aspiration in all thyroid incidentalomas at 18 F-FDG PET/ CT: Can EU-TIRADS revise the dogma?Clin Endocrinol20188964264810.1111/cen.1381930019402Search in Google Scholar
Tessler FN, Middleton WD, Grant EG, Hoang JK, Berland LL, Teefey SA et al.: ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. J Am Coll Radiol 2017; 14: 587–595.TesslerFNMiddletonWDGrantEGHoangJKBerlandLLTeefeySAet alACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS CommitteeJ Am Coll Radiol20171458759510.1016/j.jacr.2017.01.04628372962Search in Google Scholar
Vanel D: The American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS): a step towards a universal radiological language? Eur J Radiol 2007; 61: 183.VanelDThe American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS): a step towards a universal radiological language?Eur J Radiol20076118310.1016/j.ejrad.2006.08.03017164078Search in Google Scholar
Garber JR, Papini E, Frasoldati A, Lupo MA, Harrell RM, Parangi S et al.: American Association of Clinical Endocrinology and Associazione Medici Endocrinologi Thyroid Nodule Algorithmic Tool. Endocr Pract 2021; 27: 649–660.GarberJRPapiniEFrasoldatiALupoMAHarrellRMParangiSet alAmerican Association of Clinical Endocrinology and Associazione Medici Endocrinologi Thyroid Nodule Algorithmic ToolEndocr Pract20212764966010.1016/j.eprac.2021.04.00734090820Search in Google Scholar
Li W, Wang Y, Wen J, Zhang L, Sun Y: Diagnostic performance of American College of Radiology TI-RADS: a systematic review and meta-analysis. AJR Am J Roentgenol 2021; 216: 38–47.LiWWangYWenJZhangLSunYDiagnostic performance of American College of Radiology TI-RADS: a systematic review and meta-analysisAJR Am J Roentgenol2021216384710.2214/AJR.19.2269132603229Search in Google Scholar
Shin JH, Baek JH, Chung J, Ha EJ, Kim J-H, Lee YH et al.: Ultrasonography diagnosis and imaging-based management of thyroid nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations. Korean J Radiol 2016; 17: 370–395.ShinJHBaekJHChungJHaEJKimJ-HLeeYHet alUltrasonography diagnosis and imaging-based management of thyroid nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and RecommendationsKorean J Radiol20161737039510.3348/kjr.2016.17.3.370484285727134526Search in Google Scholar
Kim PH, Chung SR, Choi SH, Kim KW: Accuracy of thyroid imaging reporting and data system category 4 or 5 for diagnosing malignancy: a systematic review and meta-analysis. Eur Radiol 2020; 30: 5611–5624.KimPHChungSRChoiSHKimKWAccuracy of thyroid imaging reporting and data system category 4 or 5 for diagnosing malignancy: a systematic review and meta-analysisEur Radiol2020305611562410.1007/s00330-020-06875-w32356157Search in Google Scholar
Kim PH, Suh CH, Baek JH, Chung SR, Choi YJ, Lee JH: Diagnostic performance of four ultrasound risk stratification systems: a systematic review and meta-analysis. Thyroid 2020; 30: 1159–1168.KimPHSuhCHBaekJHChungSRChoiYJLeeJHDiagnostic performance of four ultrasound risk stratification systems: a systematic review and meta-analysisThyroid2020301159116810.1089/thy.2019.081232303153Search in Google Scholar
Kim PH, Suh CH, Baek JH, Chung SR, Choi YJ, Lee JH: Unnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysis. Eur Radiol 2021; 31: 2877–2885.KimPHSuhCHBaekJHChungSRChoiYJLeeJHUnnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysisEur Radiol2021312877288510.1007/s00330-020-07384-633057762Search in Google Scholar
Ha SM, Baek JH, Na DG, Suh CH, Chung SR, Choi YJ et al.: Diagnostic performance of practice guidelines for thyroid nodules: thyroid nodule size versus biopsy rates. Radiology 2019; 291: 92–99.HaSMBaekJHNaDGSuhCHChungSRChoiYJet alDiagnostic performance of practice guidelines for thyroid nodules: thyroid nodule size versus biopsy ratesRadiology2019291929910.1148/radiol.201918172330777805Search in Google Scholar
Yang R, Zou X, Zeng H, Zhao Y, Ma X: Comparison of diagnostic performance of five different ultrasound TI-RADS classification guidelines for thyroid nodules. Front Oncol 2020; 10: 598225.YangRZouXZengHZhaoYMaXComparison of diagnostic performance of five different ultrasound TI-RADS classification guidelines for thyroid nodulesFront Oncol20201059822510.3389/fonc.2020.598225771796533330093Search in Google Scholar
Liu H, Ma A-L, Zhou Y-S, Yang D-H, Ruan J-L, Liu X-D et al.: Variability in the interpretation of grey-scale ultrasound features in assessing thyroid nodules: a systematic review and meta-analysis. Eur J Radiol 2020; 129: 109050.LiuHMaA-LZhouY-SYangD-HRuanJ-LLiuX-Det alVariability in the interpretation of grey-scale ultrasound features in assessing thyroid nodules: a systematic review and meta-analysisEur J Radiol202012910905010.1016/j.ejrad.2020.10905032447147Search in Google Scholar
Castellana M, Castellana C, Treglia G, Giorgino F, Giovanella L, Russ G et al.: Performance of five ultrasound risk stratification systems in selecting thyroid nodules for FNA. J Clin Endocrinol Metab 2020; 105: dgz170.CastellanaMCastellanaCTregliaGGiorginoFGiovanellaLRussGet alPerformance of five ultrasound risk stratification systems in selecting thyroid nodules for FNAJ Clin Endocrinol Metab2020105dgz17010.1210/clinem/dgz17031690937Search in Google Scholar
