Literature DB >> 29181988

Diagnostic performances and interobserver agreement according to observer experience: a comparison study using three guidelines for management of thyroid nodules.

Jieun Koh1,2, Soo-Yeon Kim3, Hye Sun Lee4, Eun-Kyung Kim1, Jin Young Kwak1, Hee Jung Moon1, Jung Hyun Yoon1.   

Abstract

Background The differences regarding categorization of thyroid nodules among different guidelines may affect the diagnostic performances and agreement among observers. Purpose To compare the diagnostic performances and agreements between observers with various degree of experience when applying different guidelines for stratifying thyroid nodules using suspicious ultrasonography (US) features. Material and Methods This retrospective study included 370 thyroid nodules (≥10 mm). Four observers, grouped as experienced and inexperienced, evaluated the US features and made final assessments according to the Kim criteria, Thyroid Imaging Reporting and Data System (TIRADS) by Kwak et al., and the 2015 American Thyroid Association (ATA) guideline. Diagnostic performances and agreements among the two groups were compared. Results The Kim criteria shows higher specificity with significantly lower sensitivity when compared to TIRADS and the 2015 ATA guideline (all P < 0.001), regardless of the level of experience. The experienced group showed significantly higher specificity with the Kim criteria and the 2015 ATA guideline compared to the inexperienced group ( P < 0.001), and the inexperienced group showed significantly higher sensitivity using the Kim criteria ( P = 0.002). The experienced group showed significantly higher agreement than the inexperienced group when using TIRADS while higher agreement was seen when using the 2015 ATA guideline for the inexperienced group. Agreement was not significantly different for the Kim criteria according to observer experience. Conclusion The diagnostic performances and agreements show significant differences in risk stratification of thyroid nodules according to the three guidelines using suspicious US features and the level of experience of the observer.

Keywords:  Thyroid nodules; agreement; diagnosis; guideline; ultrasonography

Mesh:

Year:  2017        PMID: 29181988     DOI: 10.1177/0284185117744001

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  7 in total

1.  Comparison and preliminary discussion of the reasons for the differences in diagnostic performance and unnecessary FNA biopsies between the ACR TIRADS and 2015 ATA guidelines.

Authors:  Xiao-Li Wu; Jia-Rui Du; Hui Wang; Chun-Xiang Jin; Guo-Qing Sui; Dong-Yan Yang; Yuan-Qiang Lin; Qiang Luo; Ping Fu; He-Qun Li; Deng-Ke Teng
Journal:  Endocrine       Date:  2019-03-04       Impact factor: 3.633

2.  Comparison among TIRADS (ACR TI-RADS and KWAK- TI-RADS) and 2015 ATA Guidelines in the diagnostic efficiency of thyroid nodules.

Authors:  Luying Gao; Xuehua Xi; Yuxin Jiang; Xiao Yang; Ying Wang; Shenling Zhu; Xingjian Lai; Xiaoyan Zhang; Ruina Zhao; Bo Zhang
Journal:  Endocrine       Date:  2019-01-18       Impact factor: 3.633

3.  Interobserver agreement and efficacy of consensus reading in Kwak-, EU-, and ACR-thyroid imaging recording and data systems and ATA guidelines for the ultrasound risk stratification of thyroid nodules.

Authors:  Philipp Seifert; Rainer Görges; Michael Zimny; Michael C Kreissl; Simone Schenke
Journal:  Endocrine       Date:  2019-11-18       Impact factor: 3.633

4.  British Thyroid Association 2014 classification ultrasound scoring of thyroid nodules in predicting malignancy: Diagnostic performance and inter-observer agreement.

Authors:  Alexander Weller; Ban Sharif; Mohammad H Qarib; Dominic St Leger; Hakkini Sl De Silva; Ravi K Lingam
Journal:  Ultrasound       Date:  2019-08-01

5.  Use of the ultrasound-based total malignancy score in the management of thyroid nodules.

Authors:  Giovanni Guido Pompili; Silvia Tresoldi; Anna Ravelli; Alessandra Primolevo; Giovanni Di Leo; Gianpaolo Carrafiello
Journal:  Ultrasonography       Date:  2018-01-06

6.  Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network.

Authors:  Jieun Koh; Eunjung Lee; Kyunghwa Han; Eun-Kyung Kim; Eun Ju Son; Yu-Mee Sohn; Mirinae Seo; Mi-Ri Kwon; Jung Hyun Yoon; Jin Hwa Lee; Young Mi Park; Sungwon Kim; Jung Hee Shin; Jin Young Kwak
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

7.  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
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.