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  • "Thyroid nodule image reporting and data systems" x
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Tamas Solymosi Endocrinology and Metabolism Clinic, Bugat Hospital, Gyöngyös, Hungary

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

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Steen Joop Bonnema Department of Endocrinology and Metabolism, 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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Gabor Laszlo Kovacs 1st Department of Medicine, Flohr Ferenc Hospital, Kerepestarcsa, 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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Zsolt Karanyi Division of Endocrinology, Department of Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary

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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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]. Several US thyroid nodule risk-classification systems have been proposed by scientific societies [ 10 - 16 ]. These thyroid nodule image reporting and data systems (TIRADS) aim at providing indications for FNA, based on the combined results of the TIRADS

Article Type:
Research Article
DOI:
https://doi.org/10.1159/000511183
Volume/Issue:
Volume 10: Issue 5
Free 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