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Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis
OBJECTIVES: To perform a meta-analysis to evaluate the diagnostic efficacy of diffusion-weighted imaging (DWI) in differentiating malignant from benign thyroid nodules. DESIGN: A meta-analysis. DATA SOURCES AND STUDY SELECTION: Medical and scientific literature databases were searched for original a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716219/ https://www.ncbi.nlm.nih.gov/pubmed/26733564 http://dx.doi.org/10.1136/bmjopen-2015-008413 |
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author | Chen, Lihua Xu, Jian Bao, Jing Huang, Xuequan Hu, Xiaofei Xia, Yunbao Wang, Jian |
author_facet | Chen, Lihua Xu, Jian Bao, Jing Huang, Xuequan Hu, Xiaofei Xia, Yunbao Wang, Jian |
author_sort | Chen, Lihua |
collection | PubMed |
description | OBJECTIVES: To perform a meta-analysis to evaluate the diagnostic efficacy of diffusion-weighted imaging (DWI) in differentiating malignant from benign thyroid nodules. DESIGN: A meta-analysis. DATA SOURCES AND STUDY SELECTION: Medical and scientific literature databases were searched for original articles published up to August 2015. Studies were selected if they (1) included diagnostic DWI for differentiating malignant from benign thyroid lesions, (2) included patients who later underwent biopsy and (3) presented sufficient data to enable the construction of contingency tables. DATA SYNTHESIS: For each study, the true-positive, false-positive, true-negative and false-negative values were extracted or derived, and 2×2 contingency tables were constructed. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) instrument. The heterogeneity test, threshold effect test, subgroup analyses and publication bias analyses were performed. RESULTS: From the 113 identified search results, 15 studies, representing a total of 765 lesions, were included in the meta-analysis. We detected heterogeneity between studies but found no evidence of publication bias. The methodological quality was moderate. The pooled weighted sensitivity was 0.90 (95% CI 0.85 to 0.93); the specificity was 0.95 (95% CI 0.88 to 0.98); the positive likelihood ratio was 16.49 (95% CI 7.37 to 36.86); the negative likelihood ratio was 0.11 (95% CI 0.08 to 0.16); and the diagnostic OR was 150.73 (95% CI 64.96 to 349.75). The area under the receiver operator characteristic curve was 0.95 (95% CI 0.93 to 0.97). CONCLUSIONS: Quantitative DWI may be a non-invasive, non-radiative and accurate method of distinguishing malignant from benign thyroid nodules. Nevertheless, large-scale trials are necessary to assess its clinical value and to establish standards regarding b values and cut-off values for DWI-based diagnosis. |
format | Online Article Text |
id | pubmed-4716219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47162192016-01-31 Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis Chen, Lihua Xu, Jian Bao, Jing Huang, Xuequan Hu, Xiaofei Xia, Yunbao Wang, Jian BMJ Open Radiology and Imaging OBJECTIVES: To perform a meta-analysis to evaluate the diagnostic efficacy of diffusion-weighted imaging (DWI) in differentiating malignant from benign thyroid nodules. DESIGN: A meta-analysis. DATA SOURCES AND STUDY SELECTION: Medical and scientific literature databases were searched for original articles published up to August 2015. Studies were selected if they (1) included diagnostic DWI for differentiating malignant from benign thyroid lesions, (2) included patients who later underwent biopsy and (3) presented sufficient data to enable the construction of contingency tables. DATA SYNTHESIS: For each study, the true-positive, false-positive, true-negative and false-negative values were extracted or derived, and 2×2 contingency tables were constructed. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) instrument. The heterogeneity test, threshold effect test, subgroup analyses and publication bias analyses were performed. RESULTS: From the 113 identified search results, 15 studies, representing a total of 765 lesions, were included in the meta-analysis. We detected heterogeneity between studies but found no evidence of publication bias. The methodological quality was moderate. The pooled weighted sensitivity was 0.90 (95% CI 0.85 to 0.93); the specificity was 0.95 (95% CI 0.88 to 0.98); the positive likelihood ratio was 16.49 (95% CI 7.37 to 36.86); the negative likelihood ratio was 0.11 (95% CI 0.08 to 0.16); and the diagnostic OR was 150.73 (95% CI 64.96 to 349.75). The area under the receiver operator characteristic curve was 0.95 (95% CI 0.93 to 0.97). CONCLUSIONS: Quantitative DWI may be a non-invasive, non-radiative and accurate method of distinguishing malignant from benign thyroid nodules. Nevertheless, large-scale trials are necessary to assess its clinical value and to establish standards regarding b values and cut-off values for DWI-based diagnosis. BMJ Publishing Group 2016-01-05 /pmc/articles/PMC4716219/ /pubmed/26733564 http://dx.doi.org/10.1136/bmjopen-2015-008413 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Radiology and Imaging Chen, Lihua Xu, Jian Bao, Jing Huang, Xuequan Hu, Xiaofei Xia, Yunbao Wang, Jian Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis |
title | Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis |
title_full | Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis |
title_fullStr | Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis |
title_full_unstemmed | Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis |
title_short | Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis |
title_sort | diffusion-weighted mri in differentiating malignant from benign thyroid nodules: a meta-analysis |
topic | Radiology and Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716219/ https://www.ncbi.nlm.nih.gov/pubmed/26733564 http://dx.doi.org/10.1136/bmjopen-2015-008413 |
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