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Updated: Jul 12, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
International Expert Consensus on US Lexicon for Thyroid Nodules
Cosimo Durante1, Laszlo Hegedüs1, Dong Gyu Na1
1From the Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy (C.D., G.G.); Department of Endocrinology and Metabolism, Odense University Hospital, Odense, Denmark (L.H.); Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Seoul, Republic of Korea (D.G.N.); Department of Endocrinology and Metabolism, Regina Apostolorum Hospital, Rome, Italy (E.P.); Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio (J.A.S.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, Korea (J.H.B.); Endocrinology Unit, Arcispedale S. Maria Nuova IRCCS, Reggio Emilia, Italy (A.F.); Department of Radiology, Keck Hospital of USC, University of Southern California, Los Angeles, Calif (E.G.); Department of Imaging, Universidad del Desarrollo, Clínica Alemana de Santiago, Santiago, Chile (E.H.); Department of Radiology, Johns Hopkins Bayview Medical Center, Baltimore, Md (J.K.H.); Division of Endocrinology, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Perelman Center for Advanced Medicine, Philadelphia, Pa (S.J.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (W.D.M.); Department of Dental Radiological Imaging, Guy's and St Thomas NHS Foundation Trust & King's College London Dental Institute, London, United Kingdom (R.N.); Department of Otolaryngology - Head and Neck Surgery, Stanford Cancer Center, Stanford University School of Medicine, Stanford, Calif (L.A.O.); Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (J.H.S.); Clinic for Endocrinology and Diabetology, Ente Ospedaliero Cantonale, Lugano, Switzerland (P.T.); Department of Radiology, Severance Hospital Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Republic of Korea (J.H.Y.); and Department of Radiology, The University of Alabama at Birmingham Heersink School of Medicine, 619 19th St S, Birmingham, AL 35249 (F.N.T.).
Abstract:
Multiple US-based systems for risk stratification of thyroid nodules are in use worldwide. Unfortunately, the malignancy probability assigned to a nodule varies, and terms and definitions are not consistent, leading to confusion and making it challenging to compare study results and craft revisions. Consistent application of these systems is further hampered by interobserver variability in identifying the sonographic features on which they are founded. In 2018, an international multidisciplinary group of 19 physicians with expertise in thyroid sonography (termed the International Thyroid Nodule Ultrasound Working Group) was convened with the goal of developing an international system, tentatively called the International Thyroid Imaging Reporting and Data System, or I-TIRADS, in two phases: (phase I) creation of a lexicon and atlas of US descriptors of thyroid nodules and (phase II) development of a system that estimates the malignancy risk of a thyroid nodule. This article presents the methods and results of phase I. The purpose herein is to show what has been accomplished thus far, as well as generate interest in and support for this effort in the global thyroid community.
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