Literature DB >> 24332602

On the utility of quantitative diffusion-weighted MR imaging as a tool in differentiation between malignant and benign thyroid nodules.

Lian-Ming Wu1, Xiao-Xi Chen1, Yu-Lai Li1, Jia Hua1, Jie Chen1, Jiani Hu2, Jian-Rong Xu3.   

Abstract

RATIONALE AND
OBJECTIVES: To evaluate the ability of diffusion-weighted magnetic resonance imaging (DWI) in differentiating malignant thyroid nodules from benign lesions with a meta-analysis.
MATERIALS AND METHODS: Articles in English and Chinese language relating to the accuracy of DWI for this utility were retrieved. Pooled estimation and subgroup analysis data were obtained by statistical analysis.
RESULTS: A total of seven studies (17 subsets) with 358 patients, who fulfilled all of the inclusion criteria, were considered for the analysis. No publication bias was found (bias = 7.03, P > .05). Methodological quality was relatively high. DWI sensitivity was 0.91 (95% confidence interval [CI], 0.87-0.94) and specificity was 0.93 (95% CI, 0.86-0.96). Overall, positive likelihood ratio was 12.24 (95% CI, 6.47-23.20) and negative likelihood ratio was 0.99 (95% CI, 0.06-0.15). Diagnostic odds ratio was 123.78 (95% CI, 56.85-269.48). The area under the curve of the summary receiver operating characteristic was 0.94 (95% CI, 0.92-0.96). In patients with high pretest probabilities, DWI enabled confirmation of malignant thyroid lesion; in patients with low pretest probabilities, DWI enabled exclusion of malignant thyroid lesion. Worst-case-scenario (pretest probability, 50%) posttest probabilities were 92% and 9% for positive and negative DWI results, respectively.
CONCLUSIONS: A limited number of small studies suggests that quantitative DWI is a reliable diagnostic method for differentiation between benign and malignant thyroid lesions.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion-weighted imaging; meta-analysis; sensitivity; specificity; thyroid nodule

Mesh:

Year:  2013        PMID: 24332602     DOI: 10.1016/j.acra.2013.10.008

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  11 in total

1.  Preliminary study of diffusion kurtosis imaging in thyroid nodules and its histopathologic correlation.

Authors:  Ruo-Yang Shi; Qiu-Ying Yao; Qin-Yi Zhou; Qing Lu; Shi-Teng Suo; Jun Chen; Wen-Jie Zheng; Yong-Ming Dai; Lian-Ming Wu; Jian-Rong Xu
Journal:  Eur Radiol       Date:  2017-06-14       Impact factor: 5.315

2.  Systematic reviews of diagnostic tests in endocrinology: an audit of methods, reporting, and performance.

Authors:  Gabriela Spencer-Bonilla; Naykky Singh Ospina; Rene Rodriguez-Gutierrez; Juan P Brito; Nicole Iñiguez-Ariza; Shrikant Tamhane; Patricia J Erwin; M Hassan Murad; Victor M Montori
Journal:  Endocrine       Date:  2017-06-05       Impact factor: 3.633

3.  Repeatability Investigation of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging on Thyroid Glands.

Authors:  Yonggang Lu; Vaios Hatzoglou; Suchandrima Banerjee; Hilda E Stambuk; Mithat Gonen; Ajit Shankaranarayanan; Yousef Mazaheri; Joseph O Deasy; Ashok R Shaha; R Michael Tuttle; Amita Shukla-Dave
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

4.  Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values.

Authors:  Pedro Augusto Gondim Teixeira; Frederique Gay; Bailiang Chen; Marie Zins; François Sirveaux; Jacques Felblinger; Alain Blum
Journal:  Skeletal Radiol       Date:  2015-12-01       Impact factor: 2.199

5.  Prognostic value of the primary lesion apparent diffusion coefficient (ADC) in nasopharyngeal carcinoma: a retrospective study of 541 cases.

Authors:  Yuan Zhang; Xu Liu; Yun Zhang; Wen-Fei Li; Lei Chen; Yan-Ping Mao; Jing-Xian Shen; Fan Zhang; Hao Peng; Qing Liu; Ying Sun; Jun Ma
Journal:  Sci Rep       Date:  2015-07-17       Impact factor: 4.379

6.  Role of Diffusion-Weighted Magnetic Resonance (MR) Imaging in Differentiation Between Graves' Disease and Painless Thyroiditis.

Authors:  Ahmed Abdel Khalek Abdel Razek; Sieza Samir Abd Allah; Amr Abd El-Hamid El-Said
Journal:  Pol J Radiol       Date:  2017-09-15

7.  Using Diffusion-Weighted MRI to Predict Central Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Feasibility Study.

Authors:  Heng Zhang; Shudong Hu; Xian Wang; Wenhua Liu; Junlin He; Zongqiong Sun; Yuxi Ge; Weiqiang Dou
Journal:  Front Endocrinol (Lausanne)       Date:  2020-06-12       Impact factor: 5.555

8.  Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis.

Authors:  Lihua Chen; Jian Xu; Jing Bao; Xuequan Huang; Xiaofei Hu; Yunbao Xia; Jian Wang
Journal:  BMJ Open       Date:  2016-01-05       Impact factor: 2.692

9.  Diffusion-Weighted Imaging Using a Readout-Segmented, Multishot EPI Sequence at 3 T Distinguishes between Morphologically Differentiated and Undifferentiated Subtypes of Thyroid Carcinoma-A Preliminary Study.

Authors:  Stefan Schob; Peter Voigt; Lionel Bure; Hans-Jonas Meyer; Claudia Wickenhauser; Curd Behrmann; Annekathrin Höhn; Paul Kachel; Henning Dralle; Karl-Titus Hoffmann; Alexey Surov
Journal:  Transl Oncol       Date:  2016-09-20       Impact factor: 4.243

10.  Serum Unsaturated Free Fatty Acids: A Potential Biomarker Panel for Differentiating Benign Thyroid Diseases from Thyroid Cancer.

Authors:  Yaping Zhang; Ling Qiu; Chengyan He; Yanmin Wang; Yujie Liu; Dan Zhang; Zhili Li
Journal:  J Cancer       Date:  2015-10-20       Impact factor: 4.207

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