Literature DB >> 24764337

Preoperative assessment of extrathyroidal extension of papillary thyroid carcinoma: comparison of 2- and 3-dimensional sonography.

Hye Mi Gweon1, Eun Ju Son, Ji Hyun Youk, Jeong-Ah Kim, Cheong Soo Park.   

Abstract

OBJECTIVES: The purpose of this study was to evaluate the diagnostic performance and interobserver agreement of 2-dimensional (2D) and 3-dimensional (3D) sonography for evaluating extrathyroidal extension of papillary thyroid carcinoma.
METHODS: A total of 79 papillary thyroid carcinomas in 79 patients who underwent both 2D and 3D sonography for preoperative staging of papillary thyroid carcinoma were included. When the lesion was abutting on the thyroid capsule on 2D sonography, 3D sonography was performed. Three radiologists reviewed 3 data sets: 2D sonography, 3D sonography, and a combined set of both for tumor staging. The diagnostic performance, including sensitivity, specificity, positive predictive value, negative predictive value, and accuracy, for extrathyroidal extension was analyzed. Interobserver agreement of the 3 radiologists was assessed with κ values.
RESULTS: The overall accuracy rates for 2D sonography, 3D sonography, and the combined set in predicting extrathyroidal extension were 60.8%, 66.2%, and 67.9%, respectively. The accuracy of the combined set was significantly higher than that of 2D sonography (P = .016). The interobserver agreement of the 3 reviewers was fair (κ = 0.33) for 2D sonography and moderate for 3D sonography (κ = 0.46) and the combined set (κ = 0.49).
CONCLUSIONS: Adding 3D sonography to 2D sonography could improve the accuracy and interobserver agreement for predicting extrathyroidal extension of papillary thyroid carcinoma.

Entities:  

Keywords:  2-dimensional sonography; 3-dimensional sonography; extrathyroidal extension; papillary thyroid carcinoma; tumor staging; ultrasound

Mesh:

Year:  2014        PMID: 24764337     DOI: 10.7863/ultra.33.5.819

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  13 in total

1.  Dynamic contrast-enhanced MRI model selection for predicting tumor aggressiveness in papillary thyroid cancers.

Authors:  Ramesh Paudyal; Yonggang Lu; Vaios Hatzoglou; Andre Moreira; Hilda E Stambuk; Jung Hun Oh; Kristen M Cunanan; David Aramburu Nunez; Yousef Mazaheri; Mithat Gonen; Alan Ho; James A Fagin; Richard J Wong; Ashok Shaha; R Michael Tuttle; Amita Shukla-Dave
Journal:  NMR Biomed       Date:  2019-11-04       Impact factor: 4.044

2.  Using diffusion-weighted MRI to predict aggressive histological features in papillary thyroid carcinoma: a novel tool for pre-operative risk stratification in thyroid cancer.

Authors:  Yonggang Lu; Andre L Moreira; Vaios Hatzoglou; Hilda E Stambuk; Mithat Gonen; Yousef Mazaheri; Joseph O Deasy; Ashok R Shaha; R Michael Tuttle; Amita Shukla-Dave
Journal:  Thyroid       Date:  2015-04-21       Impact factor: 6.568

3.  Extrathyroidal Extension Prediction of Papillary Thyroid Cancer With Computed Tomography Based Radiomics Nomogram: A Multicenter Study.

Authors:  Pengyi Yu; Xinxin Wu; Jingjing Li; Ning Mao; Haicheng Zhang; Guibin Zheng; Xiao Han; Luchao Dong; Kaili Che; Qinglin Wang; Guan Li; Yakui Mou; Xicheng Song
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-01       Impact factor: 6.055

4.  Efficacy of apparent diffusion coefficient in predicting aggressive histological features of papillary thyroid carcinoma.

Authors:  Bin Song; Hao Wang; Yongqi Chen; Weiyan Liu; Ran Wei; Yi Ding
Journal:  Diagn Interv Radiol       Date:  2018-11       Impact factor: 2.630

5.  Risk prediction and clinical model building for lymph node metastasis in papillary thyroid microcarcinoma.

Authors:  Dao-Zhe Lin; Ning Qu; Rong-Liang Shi; Zhong-Wu Lu; Qing-Hai Ji; Wei-Li Wu
Journal:  Onco Targets Ther       Date:  2016-08-24       Impact factor: 4.147

Review 6.  Updated guidelines on the preoperative staging of thyroid cancer.

Authors:  Hye Jung Kim
Journal:  Ultrasonography       Date:  2017-04-09

7.  Magnetic resonance imaging in the prediction of aggressive histological features in papillary thyroid carcinoma.

Authors:  Bin Song; Hao Wang; Yongqi Chen; Weiyan Liu; Ran Wei; Zedong Dai; Wenjuan Hu; Yi Ding; Lanyun Wang
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

8.  Quantitative Non-Gaussian Intravoxel Incoherent Motion Diffusion-Weighted Imaging Metrics and Surgical Pathology for Stratifying Tumor Aggressiveness in Papillary Thyroid Carcinomas.

Authors:  David Aramburu Núñez; Yonggang Lu; Ramesh Paudyal; Vaios Hatzoglou; Andre L Moreira; Jung Hun Oh; Hilda E Stambuk; Yousef Mazaheri; Mithat Gonen; Ronald A Ghossein; Ashok R Shaha; R Michael Tuttle; Amita Shukla-Dave
Journal:  Tomography       Date:  2019-03

9.  Comparison of two- and three-dimensional sonography for the prediction of the extrathyroidal extension of papillary thyroid carcinomas.

Authors:  Yang Seon Yi; Sang Soo Kim; Won Jin Kim; Min Jung Bae; Ji Hyun Kang; Bo Gwang Choi; Yun Kyung Jeon; Bo Hyun Kim; Byung Joo Lee; Soo Geun Wang; In Joo Kim; Yong Ki Kim
Journal:  Korean J Intern Med       Date:  2015-12-23       Impact factor: 2.884

10.  Radiomics based on multiparametric MRI for extrathyroidal extension feature prediction in papillary thyroid cancer.

Authors:  Ran Wei; Hao Wang; Lanyun Wang; Wenjuan Hu; Xilin Sun; Zedong Dai; Jie Zhu; Hong Li; Yaqiong Ge; Bin Song
Journal:  BMC Med Imaging       Date:  2021-02-09       Impact factor: 1.930

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