Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis
Verburg N, Hoefnagels FWA, Barkhof F, Boellaard R, Goldman S, Guo J, Heimans JJ, Hoekstra OS, Jain R, Kinoshita M, Pouwels PJW, Price SJ, Reijneveld JC, Stadlbauer A, Vandertop WP, Wesseling P, Zwinderman AH, De Witt Hamer PC (2017)
Publication Type: Journal article
Publication year: 2017
Journal
Book Volume: 38
Pages Range: 1884-1891
Journal Issue: 10
DOI: 10.3174/ajnr.A5368
Abstract
BACKGROUND: Brain imaging in diffuse glioma is used for diagnosis, treatment planning, and follow-up. PURPOSE: In this meta-analysis, we address the diagnostic accuracy of imaging to delineate diffuse glioma. DATA SOURCES: We systematically searched studies of adults with diffuse gliomas and correlation of imaging with histopathology. STUDY SELECTION: Study inclusion was based on quality criteria. Individual patient data were used, if available. DATA ANALYSIS: A hierarchic summary receiver operating characteristic method was applied. Low- and high-grade gliomas were analyzed in subgroups. DATA SYNTHESIS: Sixty-one studies described 3532 samples in 1309 patients. The mean Standard for Reporting of Diagnostic Accuracy score (13/25) indicated suboptimal reporting quality. For diffuse gliomas as a whole, the diagnostic accuracy was best with T2-weighted imaging, measured as area under the curve, false-positive rate, true-positive rate, and diagnostic odds ratio of 95.6%, 3.3%, 82%, and 152. For low-grade gliomas, the diagnostic accuracy of T2-weighted imaging as a reference was 89.0%, 0.4%, 44.7%, and 205; and for high-grade gliomas, with T1-weighted gadolinium-enhanced MR imaging as a reference, it was 80.7%, 16.8%, 73.3%, and 14.8. In high-grade gliomas, MR spectroscopy (85.7%, 35.0%, 85.7%, and 12.4) and 11C methionine-PET (85.1%, 38.7%, 93.7%, and 26.6) performed better than the reference imaging. LIMITATIONS: True-negative samples were underrepresented in these data, so false-positive rates are probably less reliable than true-positive rates. Multimodality imaging data were unavailable. CONCLUSIONS: The diagnostic accuracy of commonly used imaging is better for delineation of low-grade gliomas than high-grade gliomas on the basis of limited evidence. Improvement is indicated from advanced techniques, such as MR spectroscopy and PET.
Involved external institutions
Vrije Universiteit Amsterdam (VU) / University Amsterdam
Netherlands (NL)
Addenbrooke's Hospital
United Kingdom (GB)
University of Amsterdam
Netherlands (NL)
Osaka University / 大阪大学
Japan (JP)
Université libre de Bruxelles (ULB) / Free University of Brussels
Belgium (BE)
Fudan University / 复旦大学
China (CN)
New York University (NYU)
United States (USA) (US)
Netherlands (NL)
Addenbrooke's Hospital
United Kingdom (GB)
University of Amsterdam
Netherlands (NL)
Osaka University / 大阪大学
Japan (JP)
Université libre de Bruxelles (ULB) / Free University of Brussels
Belgium (BE)
Fudan University / 复旦大学
China (CN)
New York University (NYU)
United States (USA) (US)
How to cite
APA:
Verburg, N., Hoefnagels, F.W.A., Barkhof, F., Boellaard, R., Goldman, S., Guo, J.,... De Witt Hamer, P.C. (2017). Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis. American Journal of Neuroradiology, 38(10), 1884-1891. https://doi.org/10.3174/ajnr.A5368
MLA:
Verburg, Niels, et al. "Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis." American Journal of Neuroradiology 38.10 (2017): 1884-1891.
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