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      Considerable interobserver variation calls for unambiguous definitions of thyroid nodule ultrasound characteristics

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          Abstract

          Objective

          Thyroid nodule ultrasound characteristics are used as an indication for fine-needle aspiration cytology, usually as the basis for Thyroid Imaging Reporting and Data System (TIRADS) score calculation. Few studies on interobserver variation are available, all of which are based on analysis of preselected still ultrasound images and often lack surgical confirmation.

          Methods

          After the blinded online evaluation of video recordings of the ultrasound examinations of 47 consecutive malignant and 76 consecutive benign thyroid lesions, 7 experts from 7 thyroid centers answered 17 TIRADS-related questions. Surgical histology was the reference standard. Interobserver variations of each ultrasound characteristic were compared using Gwet’s AC1 inter-rater coefficients; higher values mean better concordance, the maximum being 1.0.

          Results

          On a scale from 0.0 to 1.0, the Gwet’s AC1 values were 0.34, 0.53, 0.72, and 0.79 for the four most important features in decision-making, i.e. irregular margins, microcalcifications, echogenicity, and extrathyroidal extension, respectively. The concordance in the discrimination between mildly/moderately and very hypoechogenic nodules was 0.17. The smaller the nodule size the better the agreement in echogenicity, and the larger the nodule size the better the agreement on the presence of microcalcifications. Extrathyroidal extension was correctly identified in just 45.8% of the cases.

          Conclusions

          Examination of video recordings, closely simulating the real-world situation, revealed substantial interobserver variation in the interpretation of each of the four most important ultrasound characteristics. In view of the importance for the management of thyroid nodules, unambiguous and widely accepted definitions of each nodule characteristic are warranted, although it remains to be investigated whether this diminishes observer variation.

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          Most cited references51

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          Interrater reliability: the kappa statistic

          The kappa statistic is frequently used to test interrater reliability. The importance of rater reliability lies in the fact that it represents the extent to which the data collected in the study are correct representations of the variables measured. Measurement of the extent to which data collectors (raters) assign the same score to the same variable is called interrater reliability. While there have been a variety of methods to measure interrater reliability, traditionally it was measured as percent agreement, calculated as the number of agreement scores divided by the total number of scores. In 1960, Jacob Cohen critiqued use of percent agreement due to its inability to account for chance agreement. He introduced the Cohen’s kappa, developed to account for the possibility that raters actually guess on at least some variables due to uncertainty. Like most correlation statistics, the kappa can range from −1 to +1. While the kappa is one of the most commonly used statistics to test interrater reliability, it has limitations. Judgments about what level of kappa should be acceptable for health research are questioned. Cohen’s suggested interpretation may be too lenient for health related studies because it implies that a score as low as 0.41 might be acceptable. Kappa and percent agreement are compared, and levels for both kappa and percent agreement that should be demanded in healthcare studies are suggested.
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            2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer.

            Thyroid nodules are a common clinical problem, and differentiated thyroid cancer is becoming increasingly prevalent. Since the American Thyroid Association's (ATA's) guidelines for the management of these disorders were revised in 2009, significant scientific advances have occurred in the field. The aim of these guidelines is to inform clinicians, patients, researchers, and health policy makers on published evidence relating to the diagnosis and management of thyroid nodules and differentiated thyroid cancer.
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              ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee.

              Thyroid nodules are a frequent finding on neck sonography. Most nodules are benign; therefore, many nodules are biopsied to identify the small number that are malignant or require surgery for a definitive diagnosis. Since 2009, many professional societies and investigators have proposed ultrasound-based risk stratification systems to identify nodules that warrant biopsy or sonographic follow-up. Because some of these systems were founded on the BI-RADS(®) classification that is widely used in breast imaging, their authors chose to apply the acronym TI-RADS, for Thyroid Imaging, Reporting and Data System. In 2012, the ACR convened committees to (1) provide recommendations for reporting incidental thyroid nodules, (2) develop a set of standard terms (lexicon) for ultrasound reporting, and (3) propose a TI-RADS on the basis of the lexicon. The committees published the results of the first two efforts in 2015. In this article, the authors present the ACR TI-RADS Committee's recommendations, which provide guidance regarding management of thyroid nodules on the basis of their ultrasound appearance. The authors also describe the committee's future directions.

                Author and article information

                Journal
                Eur Thyroid J
                Eur Thyroid J
                ETJ
                European Thyroid Journal
                Bioscientifica Ltd (Bristol )
                2235-0640
                2235-0802
                24 January 2023
                24 January 2023
                01 April 2023
                : 12
                : 2
                : e220134
                Affiliations
                [1 ]Endocrinology and Metabolism Clinic , Bugat Hospital, Gyöngyös, Hungary
                [2 ]Division of Endocrinology , Department of Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
                [3 ]Department of Endocrinology , Odense University Hospital, Odense, Denmark
                [4 ]Endocrinology Unit of Arcispedale S Maria Nuova , Reggio Emilia, Italy
                [5 ]Department of Radiology , Faculty of Medicine, University of Debrecen, Debrecen, Hungary
                [6 ]1st Department of Medicine , Flohr Ferenc Hospital, Kistarcsa, Hungary
                [7 ]Regina Apostolorum Hospital in Albano , Rome, Italy
                [8 ]1st Department of Medicine , University of Pecs, Pecs, Hungary
                [9 ]Unité Thyroïde et Tumeurs Endocrines – Pr Leenhardt Hôpital La Pitie Salpetriere , Sorbonne Université, Paris, France
                Author notes
                Correspondence should be addressed to E V Nagy; Email: nagy@ 123456belklinika.com
                Author information
                http://orcid.org/0000-0002-9286-6471
                Article
                ETJ-22-0134
                10.1530/ETJ-22-0134
                10083668
                36692389
                e8a94dfb-bea5-4d4a-90c9-a0d6265825ea
                © the author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 15 January 2023
                : 24 January 2023
                Categories
                Research

                thyroid nodule,cytology,thyroid cancer,tirads,ultrasound
                thyroid nodule, cytology, thyroid cancer, tirads, ultrasound

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