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  • Thyroid nodule image reporting and data systems x
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Aglaia Kyrilli Department of Endocrinology, Hôpital Universitaire de Bruxelles (H.U.B.)– Hôpital Erasme, Université Libre de Bruxelles (ULB), Route de Lennik 808, Brussels, Belgium

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Nunzia Tacelli Department of Radiology, Hôpital Universitaire de Bruxelles (H.U.B.)– Hôpital Erasme, Université Libre de Bruxelles (ULB), Route de Lennik 808, Brussels, Belgium

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Lucia Russo Department of Medicine, DIMED, Internal Medicine 3, University of Padua, Via Giustiniani 2, 35128, Padova, Italy

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Laetitia Lebrun Department of Pathology, Hôpital Universitaire de Bruxelles (H.U.B.)– Hôpital Erasme, Université Libre de Bruxelles (ULB), Route de Lennik 808, Brussels, Belgium

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Isabelle Salmon Department of Pathology, Hôpital Universitaire de Bruxelles (H.U.B.)– Hôpital Erasme, Université Libre de Bruxelles (ULB), Route de Lennik 808, Brussels, Belgium

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Gilles Russ Thyroid and Endocrine Tumors, Institute of Endocrinology, Pitié Salpêtrière Hospital, Pierre et Marie Curie University, Paris, France

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Rodrigo Moreno-Reyes Department of Nuclear Medicine, Hôpital Universitaire de Bruxelles (H.U.B.)– Hôpital Erasme, Université Libre de Bruxelles (ULB), Route de Lennik, Brussels, Belgium

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Bernard Corvilain Department of Endocrinology, Hôpital Universitaire de Bruxelles (H.U.B.)– Hôpital Erasme, Université Libre de Bruxelles (ULB), Route de Lennik 808, Brussels, Belgium

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1764 – 1771 . ( https://doi.org/10.1056/NEJMcp031436 ) 5 Schenke S Seifert P Zimny M Winkens T Binse I & Görges R . Risk stratification of thyroid nodules using the Thyroid Imaging Reporting and Data System (TIRADS): the omission of

Article Type:
Research Article
Collections:
Goiter and thyroid nodules
DOI:
https://doi.org/10.1530/ETJ-23-0135
Volume/Issue:
Volume 12: Issue 6
Open access
Kristine Z Swan Department of ORL, Head- and Neck Surgery, Aarhus University Hospital, Aarhus, Denmark

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Johnson Thomas Department of Endocrinology, Mercy Hospital, Springfield, Missouri, USA

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Viveque E Nielsen Department of ORL, Head- and Neck Surgery, Odense University Hospital, Odense, Denmark

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Marie Louise Jespersen Department of Pathology, Aarhus University Hospital, Aarhus, Denmark

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Steen J Bonnema Department of Endocrinology, Odense University Hospital, Odense, Denmark

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of seven times ( 1 ). Thus, reducing unnecessary biopsies may have a clinical impact by reducing the number of diagnostic surgical procedures. Systems used to classify thyroid nodules include, for example, Thyroid Imaging Reporting and Data System

Article Type:
Research Article
Collections:
Goiter and thyroid nodules
DOI:
https://doi.org/10.1530/ETJ-21-0129
Volume/Issue:
Volume 11: Issue 2
Open access
Gilles Russ Thyroid and Endocrine Tumors, Institute of Endocrinology, Pitié Salpêtrière Hospital, Pierre and Marie Curie University, Paris, France

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Steen J. Bonnema Department of Endocrinology, Odense University Hospital, Odense, Denmark

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Murat Faik Erdogan Department of Endocrinology and Metabolism, University of Ankara School of Medicine, İbni Sina Hastanesi, Ankara, Turkey

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Cosimo Durante Department of Internal Medicine and Medical Specialties, Sapienza University of Rome, Rome, Italy

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Rose Ngu Head Neck and Thyroid Imaging, Department of Radiology, Guy’s and St Thomas’ Hospitals NHS Foundation Trust, London, United Kingdom

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Laurence Leenhardt Thyroid and Endocrine Tumors, Institute of Endocrinology, Pitié Salpêtrière Hospital, Pierre and Marie Curie University, Paris, France

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on the “classic pattern” concept, a tool for US classification of thyroid nodules was developed by Horvath et al. [ 14 ] in 2009, known as the Thyroid Imaging Reporting and Data System (TIRADS). This is a system similar to the one used for breast

Article Type:
Guideline
DOI:
https://doi.org/10.1159/000478927
Volume/Issue:
Volume 6: Issue 5
Free access
Gilles Russ Thyroid and Endocrine Tumor Unit, Department of Nuclear Medicine, Pitié Salpêtrière Hospital, University Pierre et Marie Curie, Paris, France

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Sophie Leboulleux Department of Nuclear Medicine and Endocrine Oncology, Institut Gustave Roussy, University Paris-Sud, Villejuif, France

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Laurence Leenhardt Thyroid and Endocrine Tumor Unit, Department of Nuclear Medicine, Pitié Salpêtrière Hospital, University Pierre et Marie Curie, Paris, France

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Laszlo Hegedüs Department of Endocrinology and Metabolism, Odense University Hospital, Odense, Denmark

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, the authors named their work either ‘reporting systems' or ‘TIRADS' which is the acronym for ‘thyroid imaging-reporting and data system'. In 2009, Horvath et al. [ 29 ] published the first study using TIRADS in 1,097 nodules (156 carcinomas). The

Article Type:
Review Article
DOI:
https://doi.org/10.1159/000365289
Volume/Issue:
Volume 3: Issue 3
Free access
Roussanka D. Kovatcheva Department of Endocrinology, Medical University of Sofia, Sofia, Bulgaria

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Alexander D. Shinkov Department of Endocrinology, Medical University of Sofia, Sofia, Bulgaria

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Inna D. Dimitrova Department of Endocrinology, Medical University of Sofia, Sofia, Bulgaria

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Ralitsa B. Ivanova Department of Endocrinology, Medical University of Sofia, Sofia, Bulgaria

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Kalin N. Vidinov Department of Endocrinology, Medical University of Sofia, Sofia, Bulgaria

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Radina S. Ivanova Department of Endocrinology, Medical University of Sofia, Sofia, Bulgaria

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, Son EJ , Park SH , et al. Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk . Radiology . 2011 Sep ; 260 ( 3 ): 892 – 9 . 10.1148/radiol.11110206 21771959 0033

Article Type:
Research Article
DOI:
https://doi.org/10.1159/000507575
Volume/Issue:
Volume 9: Issue 6
Free access
Jan Jiskra 3rd Department of Medicine, 1st Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic

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Jiří Horáček 4th Department of Medicine, Faculty of Medicine, Charles University, University Hospital Hradec Králové, Czech Republic

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Sylvie Špitálníková Department of Nuclear Medicine, District Hospital, Havlíčkův Brod, Czech Republic

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Jan Paleček 3rd Department of Medicine, 1st Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic

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Zdeňka Límanová 3rd Department of Medicine, 1st Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic

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Jan Krátký 3rd Department of Medicine, 1st Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic

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Drahomíra Springer Department of Clinical Biochemistry and Laboratory Diagnostics, 1st Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic

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Kristýna Žabková 3rd Department of Medicine, 1st Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic

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Hana Vítková 3rd Department of Medicine, 1st Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic

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investigator retrospectively reviewed medical records about a thyroid US during pregnancy. Any spherical or ellipsoid lesion of size ≥5 mm at least in one dimension was defined as a thyroid nodule and a European Thyroid Imaging and Reporting Data System (EU

Article Type:
Research Article
Collections:
Thyroid and reproduction
DOI:
https://doi.org/10.1530/ETJ-21-0011
Volume/Issue:
Volume 11: Issue 2
Open access
Pi-Ling Chiang Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
Thyroid Head and Neck Ablation Center, Kaohsiung Chang Gung Memorial Hospital, Taiwan

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Sheng-Dean Luo Thyroid Head and Neck Ablation Center, Kaohsiung Chang Gung Memorial Hospital, Taiwan
Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan

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Yen-Hsiang Chang Thyroid Head and Neck Ablation Center, Kaohsiung Chang Gung Memorial Hospital, Taiwan
Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan

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Chen-Kai Chou Thyroid Head and Neck Ablation Center, Kaohsiung Chang Gung Memorial Hospital, Taiwan
Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan

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Shun-Yu Chi Thyroid Head and Neck Ablation Center, Kaohsiung Chang Gung Memorial Hospital, Taiwan
Departments of Surgery, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan

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Yi-Fan Chen Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
Thyroid Head and Neck Ablation Center, Kaohsiung Chang Gung Memorial Hospital, Taiwan

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Wei-Che Lin Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan
Thyroid Head and Neck Ablation Center, Kaohsiung Chang Gung Memorial Hospital, Taiwan
Department of Radiology, Jen-Ai Hospital, Dali Branch, Taichung, Taiwan
School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung City, Taiwan

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thyroid nodules in accordance with the American College of Radiology’s Thyroid Imaging Reporting and Data System (ACR TI-RADS) ( 14 ). The ACR TI-RADS is a point-based system which considers five US categories: composition, echogenicity, shape, margin, and

Article Type:
Research Article
Collections:
Goiter and thyroid nodules
DOI:
https://doi.org/10.1530/ETJ-23-0105
Volume/Issue:
Volume 12: Issue 6
Open access
Tamas Solymosi Endocrinology and Metabolism Clinic, Bugat Hospital, Gyöngyös, Hungary
Division of Endocrinology, Department of Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary

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Laszlo Hegedűs Department of Endocrinology, Odense University Hospital, Odense, Denmark

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Steen J Bonnema Department of Endocrinology, Odense University Hospital, Odense, Denmark

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Andrea Frasoldati Endocrinology Unit of Arcispedale S Maria Nuova, Reggio Emilia, Italy

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Laszlo Jambor Department of Radiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary

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Zsolt Karanyi Division of Endocrinology, Department of Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary

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Gabor L Kovacs 1st Department of Medicine, Flohr Ferenc Hospital, Kistarcsa, Hungary

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Enrico Papini Regina Apostolorum Hospital in Albano, Rome, Italy

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Karoly Rucz 1st Department of Medicine, University of Pecs, Pecs, Hungary

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Gilles Russ Unité Thyroïde et Tumeurs Endocrines – Pr Leenhardt Hôpital La Pitie Salpetriere, Sorbonne Université, Paris, France

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Endre V Nagy Division of Endocrinology, Department of Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary

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extension (ETE) ( 4 , 5 , 6 ). Several US thyroid nodule risk-classification systems have been proposed by scientific societies ( 6 , 7 , 8 , 9 , 10 , 11 ). These thyroid nodule image reporting and data systems (TIRADS) aim at providing indications

Article Type:
Research Article
Collections:
Goiter and thyroid nodules
DOI:
https://doi.org/10.1530/ETJ-22-0134
Volume/Issue:
Volume 12: Issue 2
Open access
Andrea Leoncini Clinic for Radiology, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland

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Chiara Camponovo Thyroid Unit, Clinic for Endocrinology and Diabetology, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland

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Gaetano Paone Clinic of Nuclear Medicine, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland
Faculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland

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Elena Gamarra Thyroid Unit, Clinic for Endocrinology and Diabetology, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland

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Giorgio Treglia Clinic of Nuclear Medicine, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland
Faculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland
Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland

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Pierpaolo Trimboli Thyroid Unit, Clinic for Endocrinology and Diabetology, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland
Faculty of Biomedical Sciences, Università Della Svizzera Italiana, Lugano, Switzerland

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. Autonomously functioning thyroid nodules present intermediate malignancy risk according to European Thyroid Imaging Reporting and Data System (EU-TIRADS) and yield indeterminate cytology results . European Thyroid Journal 2023 12 e230135 . ( https://doi.org/10

Article Type:
Research Article
Collections:
Thyroid cancer - clinical
DOI:
https://doi.org/10.1530/ETJ-24-0123
Volume/Issue:
Volume 13: Issue 4
Open access
Tommaso Piticchio Endocrinology Section, Department of Clinical and Experimental Medicine, Garibaldi Nesima Hospital, University of Catania, Catania, Italy
Servizio di Endocrinologia e Diabetologia, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland

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Gilles Russ Department of Thyroid and Endocrine Tumor Diseases, La Pitie-Salpetriere Hospital, 83 Bd de l’Hopital, Paris, France

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Maija Radzina Riga Stradins University, Radiology Research Laboratory, Riga, Latvia
University of Latvia, Faculty of Medicine, Riga, Latvia

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Francesco Frasca Endocrinology Section, Department of Clinical and Experimental Medicine, Garibaldi Nesima Hospital, University of Catania, Catania, Italy

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Cosimo Durante Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy

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Pierpaolo Trimboli Servizio di Endocrinologia e Diabetologia, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
Facoltà di Scienze Biomediche, Università della Svizzera Italiana (USI), Lugano, Switzerland

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proposed US risk stratification systems (RSSs), commonly known as Thyroid Imaging Reporting and Data Systems (TIRADSs) ( 6 ). TIRADSs were specifically developed to (1) establish a standard lexicon; (2) define US features associated with specific malignancy

Article Type:
Review Article
Collections:
Goiter and thyroid nodules
DOI:
https://doi.org/10.1530/ETJ-23-0242
Volume/Issue:
Volume 13: Issue 2
Open access