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An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors
BACKGROUND: Differentiation of high-grade gliomas (HGGs) and low-grade gliomas (LGGs) is an important clinical problem because treatment strategies vary greatly. This study was performed to investigate the potential diagnostic value of incoherent intravoxel motion imaging (IVIM) to distinguish HGG f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6250525/ https://www.ncbi.nlm.nih.gov/pubmed/30407363 http://dx.doi.org/10.1097/MD.0000000000013217 |
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author | Li, Wen-fei Niu, Chen Shakir, Tahir Mehmood Chen, Tao Zhang, Ming Wang, Zhanqiu |
author_facet | Li, Wen-fei Niu, Chen Shakir, Tahir Mehmood Chen, Tao Zhang, Ming Wang, Zhanqiu |
author_sort | Li, Wen-fei |
collection | PubMed |
description | BACKGROUND: Differentiation of high-grade gliomas (HGGs) and low-grade gliomas (LGGs) is an important clinical problem because treatment strategies vary greatly. This study was performed to investigate the potential diagnostic value of incoherent intravoxel motion imaging (IVIM) to distinguish HGG from LGG by meta-analysis. METHODS: A computerized search of the literature was performed using the free-access PubMed database, Web of Science, and Chinese biomedical database, and relevant articles until September 18, 2018 that used IVIM to distinguish HGG from LGG were included. All analyses were performed using Review Manager 5.3 and Stata. Mean difference (MD) at 95% confidence interval (CI) of the apparent diffusion coefficient (ADC), diffusion coefficient value (D), perfusion fraction value (f), and perfusion coefficient value (D∗) were summarized. RESULTS: Nine studies were used for general data pooling. In the tumor parenchyma (TP) regions, subgroup analysis revealed D∗ in HGG is higher than in LGG (MD = 1.19, P = .002), and D in HGG is lower than in LGG (MD = −1.06, P = .001). However, no significant difference in f (MD = 0.89, P = .056) was detected between HGG and LGG. In the white matter regions, HGG had higher D∗ (MD = 0.76, P = .04) compared with LGG, while no marked differences between the D value (P = .07) and f (P = .09) values. CONCLUSION: The present meta-analysis shows that the ADC, D, and D∗ values derived from IVIM may be useful in differentiating HGG from LGG. Considering the small sample of this study, we need to be cautious when interpreting the results of this study. Other prospective and large-sample randomized controlled trials were needed to establish the value of IVIM in differentiating HGG from LGG. |
format | Online Article Text |
id | pubmed-6250525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-62505252018-12-10 An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors Li, Wen-fei Niu, Chen Shakir, Tahir Mehmood Chen, Tao Zhang, Ming Wang, Zhanqiu Medicine (Baltimore) Research Article BACKGROUND: Differentiation of high-grade gliomas (HGGs) and low-grade gliomas (LGGs) is an important clinical problem because treatment strategies vary greatly. This study was performed to investigate the potential diagnostic value of incoherent intravoxel motion imaging (IVIM) to distinguish HGG from LGG by meta-analysis. METHODS: A computerized search of the literature was performed using the free-access PubMed database, Web of Science, and Chinese biomedical database, and relevant articles until September 18, 2018 that used IVIM to distinguish HGG from LGG were included. All analyses were performed using Review Manager 5.3 and Stata. Mean difference (MD) at 95% confidence interval (CI) of the apparent diffusion coefficient (ADC), diffusion coefficient value (D), perfusion fraction value (f), and perfusion coefficient value (D∗) were summarized. RESULTS: Nine studies were used for general data pooling. In the tumor parenchyma (TP) regions, subgroup analysis revealed D∗ in HGG is higher than in LGG (MD = 1.19, P = .002), and D in HGG is lower than in LGG (MD = −1.06, P = .001). However, no significant difference in f (MD = 0.89, P = .056) was detected between HGG and LGG. In the white matter regions, HGG had higher D∗ (MD = 0.76, P = .04) compared with LGG, while no marked differences between the D value (P = .07) and f (P = .09) values. CONCLUSION: The present meta-analysis shows that the ADC, D, and D∗ values derived from IVIM may be useful in differentiating HGG from LGG. Considering the small sample of this study, we need to be cautious when interpreting the results of this study. Other prospective and large-sample randomized controlled trials were needed to establish the value of IVIM in differentiating HGG from LGG. Wolters Kluwer Health 2018-11-09 /pmc/articles/PMC6250525/ /pubmed/30407363 http://dx.doi.org/10.1097/MD.0000000000013217 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Research Article Li, Wen-fei Niu, Chen Shakir, Tahir Mehmood Chen, Tao Zhang, Ming Wang, Zhanqiu An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors |
title | An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors |
title_full | An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors |
title_fullStr | An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors |
title_full_unstemmed | An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors |
title_short | An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors |
title_sort | evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6250525/ https://www.ncbi.nlm.nih.gov/pubmed/30407363 http://dx.doi.org/10.1097/MD.0000000000013217 |
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