Cargando…
Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis
OBJECTIVE: Treatment response assessment in high-grade gliomas uses contrast enhanced T1-weighted MRI, but is unreliable. Novel advanced MRI techniques have been studied, but the accuracy is not well known. Therefore, we performed a systematic meta-analysis to assess the diagnostic accuracy of anato...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579204/ https://www.ncbi.nlm.nih.gov/pubmed/28332014 http://dx.doi.org/10.1007/s00330-017-4789-9 |
_version_ | 1783260664156913664 |
---|---|
author | van Dijken, Bart R. J. van Laar, Peter Jan Holtman, Gea A. van der Hoorn, Anouk |
author_facet | van Dijken, Bart R. J. van Laar, Peter Jan Holtman, Gea A. van der Hoorn, Anouk |
author_sort | van Dijken, Bart R. J. |
collection | PubMed |
description | OBJECTIVE: Treatment response assessment in high-grade gliomas uses contrast enhanced T1-weighted MRI, but is unreliable. Novel advanced MRI techniques have been studied, but the accuracy is not well known. Therefore, we performed a systematic meta-analysis to assess the diagnostic accuracy of anatomical and advanced MRI for treatment response in high-grade gliomas. METHODS: Databases were searched systematically. Study selection and data extraction were done by two authors independently. Meta-analysis was performed using a bivariate random effects model when ≥5 studies were included. RESULTS: Anatomical MRI (five studies, 166 patients) showed a pooled sensitivity and specificity of 68% (95%CI 51–81) and 77% (45–93), respectively. Pooled apparent diffusion coefficients (seven studies, 204 patients) demonstrated a sensitivity of 71% (60–80) and specificity of 87% (77–93). DSC-perfusion (18 studies, 708 patients) sensitivity was 87% (82–91) with a specificity of 86% (77–91). DCE-perfusion (five studies, 207 patients) sensitivity was 92% (73–98) and specificity was 85% (76–92). The sensitivity of spectroscopy (nine studies, 203 patients) was 91% (79–97) and specificity was 95% (65–99). CONCLUSION: Advanced techniques showed higher diagnostic accuracy than anatomical MRI, the highest for spectroscopy, supporting the use in treatment response assessment in high-grade gliomas. KEY POINTS: • Treatment response assessment in high-grade gliomas with anatomical MRI is unreliable • Novel advanced MRI techniques have been studied, but diagnostic accuracy is unknown • Meta-analysis demonstrates that advanced MRI showed higher diagnostic accuracy than anatomical MRI • Highest diagnostic accuracy for spectroscopy and perfusion MRI • Supports the incorporation of advanced MRI in high-grade glioma treatment response assessment ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-017-4789-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5579204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-55792042017-09-18 Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis van Dijken, Bart R. J. van Laar, Peter Jan Holtman, Gea A. van der Hoorn, Anouk Eur Radiol Magnetic Resonance OBJECTIVE: Treatment response assessment in high-grade gliomas uses contrast enhanced T1-weighted MRI, but is unreliable. Novel advanced MRI techniques have been studied, but the accuracy is not well known. Therefore, we performed a systematic meta-analysis to assess the diagnostic accuracy of anatomical and advanced MRI for treatment response in high-grade gliomas. METHODS: Databases were searched systematically. Study selection and data extraction were done by two authors independently. Meta-analysis was performed using a bivariate random effects model when ≥5 studies were included. RESULTS: Anatomical MRI (five studies, 166 patients) showed a pooled sensitivity and specificity of 68% (95%CI 51–81) and 77% (45–93), respectively. Pooled apparent diffusion coefficients (seven studies, 204 patients) demonstrated a sensitivity of 71% (60–80) and specificity of 87% (77–93). DSC-perfusion (18 studies, 708 patients) sensitivity was 87% (82–91) with a specificity of 86% (77–91). DCE-perfusion (five studies, 207 patients) sensitivity was 92% (73–98) and specificity was 85% (76–92). The sensitivity of spectroscopy (nine studies, 203 patients) was 91% (79–97) and specificity was 95% (65–99). CONCLUSION: Advanced techniques showed higher diagnostic accuracy than anatomical MRI, the highest for spectroscopy, supporting the use in treatment response assessment in high-grade gliomas. KEY POINTS: • Treatment response assessment in high-grade gliomas with anatomical MRI is unreliable • Novel advanced MRI techniques have been studied, but diagnostic accuracy is unknown • Meta-analysis demonstrates that advanced MRI showed higher diagnostic accuracy than anatomical MRI • Highest diagnostic accuracy for spectroscopy and perfusion MRI • Supports the incorporation of advanced MRI in high-grade glioma treatment response assessment ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00330-017-4789-9) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-03-22 2017 /pmc/articles/PMC5579204/ /pubmed/28332014 http://dx.doi.org/10.1007/s00330-017-4789-9 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Magnetic Resonance van Dijken, Bart R. J. van Laar, Peter Jan Holtman, Gea A. van der Hoorn, Anouk Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis |
title | Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis |
title_full | Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis |
title_fullStr | Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis |
title_full_unstemmed | Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis |
title_short | Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis |
title_sort | diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis |
topic | Magnetic Resonance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579204/ https://www.ncbi.nlm.nih.gov/pubmed/28332014 http://dx.doi.org/10.1007/s00330-017-4789-9 |
work_keys_str_mv | AT vandijkenbartrj diagnosticaccuracyofmagneticresonanceimagingtechniquesfortreatmentresponseevaluationinpatientswithhighgradegliomaasystematicreviewandmetaanalysis AT vanlaarpeterjan diagnosticaccuracyofmagneticresonanceimagingtechniquesfortreatmentresponseevaluationinpatientswithhighgradegliomaasystematicreviewandmetaanalysis AT holtmangeaa diagnosticaccuracyofmagneticresonanceimagingtechniquesfortreatmentresponseevaluationinpatientswithhighgradegliomaasystematicreviewandmetaanalysis AT vanderhoornanouk diagnosticaccuracyofmagneticresonanceimagingtechniquesfortreatmentresponseevaluationinpatientswithhighgradegliomaasystematicreviewandmetaanalysis |