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Sung Kim, C. Park, S. Jung, B. Kang, Jee-Young Kim, Jae Choi, Ye Kim, Jin Oh, J. Oh, Hanna Kim, S. Jeong, H. Yim (2010)
Observer Variability and the Performance between Faculties and Residents: US Criteria for Benign and Malignant Thyroid NodulesKorean Journal of Radiology, 11
Ali Tahvildari, L. Pan, C. Kong, T. Desser (2016)
Sonographic‐Pathologic Correlation for Punctate Echogenic Reflectors in Papillary Thyroid CarcinomaJournal of Ultrasound in Medicine, 35
F. Tessler, W. Middleton, E. Grant, J. Hoang, L. Berland, S. Teefey, J. Cronan, M. Beland, T. Desser, M. Frates, L. Hammers, U. Hamper, J. Langer, C. Reading, L. Scoutt, A. Stavros (2018)
ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee.Journal of the American College of Radiology : JACR, 14 5
J. Kwak, Kyunghwa Han, J. Yoon, H. Moon, E. Son, So Park, H. Jung, J. Choi, Bo Kim, Eun-Kyung Kim (2011)
Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.Radiology, 260 3
J. Wienke, W. Chong, J. Fielding, K. Zou, C. Mittelstaedt (2003)
Sonographic Features of Benign Thyroid NodulesJournal of Ultrasound in Medicine, 22
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E. Horvath, S. Majlis, Ricardo Rossi, C. Franco, J. Niedmann, A. Castro, M. Domínguez (2009)
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The measurement of observer agreement for categorical data.Biometrics, 33 1
Seo-Jin Park, Sung-Tae Park, Yoon Choi, Dong-Wook Kim, E. Son, Hye Lee, J. Yoon, Eun-Kyung Kim, H. Moon, J. Kwak (2012)
Interobserver Variability and Diagnostic Performance in US Assessment of Thyroid Nodule According to SizeUltraschall in der Medizin, 33
J. Hoang, W. Middleton, Alfredo Farjat, S. Teefey, Nicole Abinanti, F. Boschini, Abraham Bronner, Nirvikar Dahiya, B. Hertzberg, Justin Newman, Daniel Scanga, R. Vogler, F. Tessler (2018)
Interobserver Variability of Sonographic Features Used in the American College of Radiology Thyroid Imaging Reporting and Data System.AJR. American journal of roentgenology, 211 1
C. Park, Sung Kim, S. Jung, B. Kang, Jee Kim, Jae Choi, M. Sung, H. Yim, S. Jeong (2010)
Observer variability in the sonographic evaluation of thyroid nodulesJournal of Clinical Ultrasound, 38
Ji-Young Park, Hui-Joong Lee, H. Jang, Ho Kim, J. Yi, Wonho Lee, S. Kim (2009)
A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma.Thyroid : official journal of the American Thyroid Association, 19 11
Kosma Woliński, Małgorzata Szkudlarek, Ewelina Szczepanek-Parulska, M. Ruchała (2014)
Usefulness of different ultrasound features of malignancy in predicting the type of thyroid lesions: a meta-analysis of prospective studies.Polskie Archiwum Medycyny Wewnetrznej, 124 3
S. Choi, Eun-Kyung Kim, J. Kwak, Min Kim, E. Son (2010)
Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules.Thyroid : official journal of the American Thyroid Association, 20 2
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J. Koh, Soo-Yeon Kim, Hye Lee, Eun-Kyung Kim, J. Kwak, H. Moon, J. Yoon (2018)
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Benign and malignant thyroid nodules: US differentiation--multicenter retrospective study.Radiology, 247 3
E. Grant, F. Tessler, J. Hoang, J. Langer, M. Beland, L. Berland, J. Cronan, T. Desser, M. Frates, U. Hamper, W. Middleton, C. Reading, L. Scoutt, A. Stavros, S. Teefey (2015)
Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee.Journal of the American College of Radiology : JACR, 12 12 Pt A
Abstract The aim of this study is to evaluate the variability of selecting the ultrasound features used in American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) and in assigning the ACR-TIRADS level in a single center among radiologists and radiology residents. The study cohort consisted of 108 thyroid nodules in 102 patients who had definite cytology results after thyroid fine needle aspiration biopsy (Bethesda category II, VI) or surgery. Seven observers including 3 radiologists and 4 radiology residents evaluated the nodules according to 5 ultrasound feature categories. The evaluation process was performed after a joint meeting session, in which the “white papers” of the ACR-TIRADS committee were discussed regarding the thyroid ultrasound reporting lexicon, and final TIRADS system. Variability of ultrasound features and assigning ACR-TIRADS level was measured using Fleiss kappa statistics. Agreement for ultrasound features was “substantial” to “almost perfect” among all observers, with composition (κ = 0.86), macrocalcification (κ = 0.89) and peripheral calcification (κ = 0.92) at the highest level of agreement. The level of agreement for large comet tail artifacts and punctate echogenic foci was “moderate” in residents, whereas in radiologists, that level was “substantial.” The agreement for assigning ACR-TIRADS level was moderate in resident as well as in radiologist subgroup. Agreement of thyroid ultrasound features was “substantial to almost perfect” among all observers. Although the level of agreement among resident group decreased to “moderate” level, ACR-TIRADS is a useful system in thyroid nodule management.
Ultrasound Quarterly – Wolters Kluwer Health
Published: Dec 1, 2021
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