Literature DB >> 30415880

Inter-observer Variability in the American College of Radiology Thyroid Imaging Reporting and Data System: In-Depth Analysis and Areas for Improvement.

Malak Itani1, Richard Assaker2, Mariam Moshiri3, Theodore J Dubinsky3, Manjiri K Dighe3.   

Abstract

The American College of Radiology (ACR) introduced a new standardized system for management of thyroid nodules, the Thyroid Imaging Reporting and Data System (TI-RADS). The purpose of this retrospective study is to evaluate the inter-observer variability in applying TI-RADS in clinical practice without prior dedicated training. We evaluated a total of 180 nodules constituting all consecutive thyroid aspirations performed in the radiology department between January 1, 2014 and June 30, 2014, with exclusion of histologically inadequate samples. Four radiologists, blinded to each other's evaluation and to final pathology results, evaluated all of the nodules based on the TI-RADS lexicon. TI-RADS score and management recommendations were then deduced from the inputted features. Statistical analysis was performed to determine inter-observer agreement among all readers, as well as between each two readers, in all TI-RADS sonographic features and for recommended management per TI-RADS score with multi-user Cohen's κ (Light's κ) and percentage agreement using R. There was fair-to-moderate inter-observer agreement in nodule composition (two-reader κ range: 0.327-0.533) and presence of calcifications (κ range: 0.229-0.527), but poor-to-fair agreement in echogenicity (κ range: 0.141-0.355), shape (κ range: 0.0729-0.513) and margins (κ range: 0.176-0.283). There was fair inter-observer agreement regarding management recommendations (κ range: 0.242-0.359).
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Agreement; American College of Radiology Thyroid Imaging Reporting and Data System; Inter-observer; Management; Thyroid nodule; Variability

Mesh:

Year:  2018        PMID: 30415880     DOI: 10.1016/j.ultrasmedbio.2018.09.026

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  10 in total

1.  Learnability and reproducibility of ACR Thyroid Imaging, Reporting and Data System (TI-RADS) in postgraduate freshmen.

Authors:  Dengke Teng; Ping Fu; Wenjia Li; Feng Guo; Hui Wang
Journal:  Endocrine       Date:  2020-01-09       Impact factor: 3.633

2.  Ultrasound malignancy risk stratification of thyroid nodules based on the degree of hypoechogenicity and echotexture.

Authors:  Ji Ye Lee; Dong Gyu Na; So Jin Yoon; Hye Yun Gwon; Wooyul Paik; Taeeun Kim; Jin Yub Kim
Journal:  Eur Radiol       Date:  2019-11-15       Impact factor: 5.315

3.  Software-Based Analysis of the Taller-Than-Wide Feature of High-Risk Thyroid Nodules.

Authors:  Ming-Hsun Wu; Kuen-Yuan Chen; Argon Chen; Chiung-Nien Chen
Journal:  Ann Surg Oncol       Date:  2021-01-03       Impact factor: 5.344

4.  Systematic Review and Meta-Analysis of American College of Radiology TI-RADS Inter-Reader Reliability for Risk Stratification of Thyroid Nodules.

Authors:  Wei Li; Yuan Sun; Haibing Xu; Wenwen Shang; Anding Dong
Journal:  Front Oncol       Date:  2022-05-13       Impact factor: 5.738

5.  Clinician Agreement on the Classification of Thyroid Nodules Ultrasound Features: A Survey of 2 Endocrine Societies.

Authors:  Nydia Burgos; Jing Zhao; Juan P Brito; Jenny K Hoang; Fabian Pitoia; Spyridoula Maraka; M Regina Castro; Ji-Hyun Lee; Naykky Singh Ospina
Journal:  J Clin Endocrinol Metab       Date:  2022-07-14       Impact factor: 6.134

6.  2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS.

Authors:  JianQiao Zhou; LiXue Yin; Xi Wei; Sheng Zhang; YanYan Song; BaoMing Luo; JianChu Li; LinXue Qian; LiGang Cui; Wen Chen; ChaoYang Wen; YuLan Peng; Qin Chen; Man Lu; Min Chen; Rong Wu; Wei Zhou; EnSheng Xue; YingJia Li; LiChun Yang; ChengRong Mi; RuiFang Zhang; Gang Wu; GuoQing Du; DaoZhong Huang; WeiWei Zhan
Journal:  Endocrine       Date:  2020-08-21       Impact factor: 3.633

7.  Tips for improving consistency of thyroid nodule interpretation with ACR TI-RADS.

Authors:  Gavin Low; Meredith Bara; Yang Du; Prayash Katlariwala; Roger Croutze; Katrin Resch; Jonathan Porter; Medica Sam; Mitchell Wilson
Journal:  J Ultrason       Date:  2022-02-08

8.  Summary of Meta-analyses of Studies Considering Lesion Size Cut-off Thresholds for The Assessment of Eligibility for FNAB and Sonoelastography and Inter- and Intra-observer Agreement in Estimating the Malignant Potential of Focal Lesions of The Thyroid Gland.

Authors:  Katarzyna Dobruch-Sobczak; Zbigniew Adamczewski; Marek Dedecjus; Andrzej Lewiński; Bartosz Migda; Marek Ruchała; Anna Skowrońska-Szcześniak; Ewelina Szczepanek-Parulska; Klaudia Zajkowska; Agnieszka Żyłka
Journal:  J Ultrason       Date:  2022-04-27

9.  The value of ultrasound grayscale ratio in the diagnosis of papillary thyroid microcarcinomas and benign micronodules in patients with Hashimoto's thyroiditis: A two-center controlled study.

Authors:  Na Feng; Peiying Wei; Xiangkai Kong; Jingjing Xu; Jincao Yao; Fang Cheng; Di Ou; Liping Wang; Dong Xu; Zhijiang Han
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-12       Impact factor: 6.055

10.  Ultrasound-based radiomics nomogram combined with clinical features for the prediction of central lymph node metastasis in papillary thyroid carcinoma patients with Hashimoto's thyroiditis.

Authors:  Peile Jin; Jifan Chen; Yiping Dong; Chengyue Zhang; Yajun Chen; Cong Zhang; Fuqiang Qiu; Chao Zhang; Pintong Huang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-19       Impact factor: 6.055

  10 in total

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