Literature DB >> 19725777

Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules.

Seon Hyeong Choi1, Eun-Kyung Kim, Jin Young Kwak, Min Jung Kim, Eun Ju Son.   

Abstract

BACKGROUND: Thyroid ultrasound (US) is used as the first diagnostic tool to assess the management of the disease. In spite of its importance, US is a very subjective method and highly dependent on the skill of the performer. There have been few reports evaluating thyroid US performance and even fewer reports of observer variability in US assessment. Therefore, we evaluated inter- and intraobserver variations in US assessment of thyroid nodules and diagnosis among four radiologists and estimated its diagnostic accuracy.
METHODS: A total of 204 thyroid nodules in 144 patients were reviewed. There were 89 benign and 115 malignant cases. Four radiologists with more than 5 years of experience independently reviewed US images twice at 6-week intervals. Echogenicity, composition, margin, shape, calcification, vascularity, and final assessment were evaluated. Inter- and intraobserver variations were determined with Cohen's kappa statistics, and accuracy was calculated.
RESULTS: For interobserver variations, echogenicity showed slight agreement (kappa = 0.34); composition, margin, calcification, and final assessment had fair agreement (kappa = 0.59, 0.42, 0.58, and 0.54, respectively); shape and vascularity showed substantial agreement (kappa = 0.61 and 0.64, respectively). For intraobserver variability, almost all showed substantial agreement (kappa > 0.61). Overall sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for the four radiologists were 88.2%, 78.7%, 76.2%, 89.6%, and 82.8%, respectively.
CONCLUSIONS: Experienced radiologists showed more than a moderate degree of agreement in US assessment of thyroid nodules, and their final assessments were highly accurate.

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Year:  2010        PMID: 19725777     DOI: 10.1089/thy.2008.0354

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.568


  67 in total

1.  Off-site evaluation of three-dimensional ultrasound for the diagnosis of thyroid nodules: comparison with two-dimensional ultrasound.

Authors:  Soo Chin Kim; Ji-Hoon Kim; Seung Hong Choi; Tae Jin Yun; Jae Yeon Wi; Sun Ah Kim; Hye Young Sun; Inseon Ryoo; Sun-Won Park; Chul-Ho Sohn
Journal:  Eur Radiol       Date:  2016-01-22       Impact factor: 5.315

2.  Implications of US radiomics signature for predicting malignancy in thyroid nodules with indeterminate cytology.

Authors:  Jiyoung Yoon; Eunjung Lee; Sang-Wook Kang; Kyunghwa Han; Vivian Youngjean Park; Jin Young Kwak
Journal:  Eur Radiol       Date:  2021-01-18       Impact factor: 5.315

3.  Additional BRAF mutation analysis may have additional diagnostic value in thyroid nodules with "suspicious for malignant" cytology alone even when the nodules do not show suspicious US features.

Authors:  Jae Young Seo; Eun-Kyung Kim; Jin Young Kwak
Journal:  Endocrine       Date:  2014-01-23       Impact factor: 3.633

4.  Ultrasonography scoring systems can rule out malignancy in cytologically indeterminate thyroid nodules.

Authors:  Giorgio Grani; Livia Lamartina; Valeria Ascoli; Daniela Bosco; Francesco Nardi; Ferdinando D'Ambrosio; Antonello Rubini; Laura Giacomelli; Marco Biffoni; Sebastiano Filetti; Cosimo Durante; Vito Cantisani
Journal:  Endocrine       Date:  2016-10-31       Impact factor: 3.633

5.  A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound.

Authors:  Salvatore Gitto; Giorgia Grassi; Chiara De Angelis; Cristian Giuseppe Monaco; Silvana Sdao; Francesco Sardanelli; Luca Maria Sconfienza; Giovanni Mauri
Journal:  Radiol Med       Date:  2018-09-22       Impact factor: 3.469

6.  [Radiologic and nuclear medicine diagnosis and therapy of thyroid disorders. Part 1: Benign thyroid diseases].

Authors:  C M Zechmann; S E Haufe
Journal:  Radiologe       Date:  2012-07       Impact factor: 0.635

7.  Applications of machine learning and deep learning to thyroid imaging: where do we stand?

Authors:  Eun Ju Ha; Jung Hwan Baek
Journal:  Ultrasonography       Date:  2020-07-03

8.  Computer-aided diagnostic system for thyroid nodule sonographic evaluation outperforms the specificity of less experienced examiners.

Authors:  Daniele Fresilli; Giorgio Grani; Maria Luna De Pascali; Gregorio Alagna; Eleonora Tassone; Valeria Ramundo; Valeria Ascoli; Daniela Bosco; Marco Biffoni; Marco Bononi; Vito D'Andrea; Fabrizio Frattaroli; Laura Giacomelli; Yana Solskaya; Giorgia Polti; Patrizia Pacini; Olga Guiban; Raffaele Gallo Curcio; Marcello Caratozzolo; Vito Cantisani
Journal:  J Ultrasound       Date:  2020-04-03

9.  European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults: The EU-TIRADS.

Authors:  Gilles Russ; Steen J Bonnema; Murat Faik Erdogan; Cosimo Durante; Rose Ngu; Laurence Leenhardt
Journal:  Eur Thyroid J       Date:  2017-08-08

10.  Preoperative prediction of central lymph node metastasis in thyroid papillary microcarcinoma using clinicopathologic and sonographic features.

Authors:  Kyung-Eun Kim; Eun-Kyung Kim; Jung Hyun Yoon; Kyung Hwa Han; Hee Jung Moon; Jin Young Kwak
Journal:  World J Surg       Date:  2013-02       Impact factor: 3.352

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