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Evaluation of the Diagnostic Performance of Magnetic Resonance Spectroscopy in Brain Tumors: A Systematic Review and Meta-Analysis

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  • Wenzhi Wang
  • Yumin Hu
  • Peiou Lu
  • Yingci Li
  • Yunfu Chen
  • Mohan Tian
  • Lijuan Yu

Abstract

Object: The aim of this study was to determine the suitability of magnetic resonance spectroscopy (MRS) for screening brain tumors, based on a systematic review and meta-analysis of published data on the diagnostic performance of MRS. Methods: The PubMed and PHMC databases were systematically searched for relevant studies up to December 2013. The sensitivities and specificities of MRS in individual studies were calculated and the pooled diagnostic accuracies, with 95% confidence intervals (CI), were assessed under a fixed-effects model. Results: Twenty-four studies were included, comprising a total of 1013 participants. Overall, no heterogeneity of diagnostic effects was observed between studies. The pooled sensitivity and specificity of MRS were 80.05% (95% CI = 75.97%–83.59%) and 78.46% (95% CI: 73.40%–82.78%), respectively. The area under the summary receiver operating characteristic curve was 0.78. Stratified meta analysis showed higher sensitivity and specificity in child than adult. CSI had higher sensitivity and SV had higher specificity. Higher sensitivity and specificity were obtained in short TE value. Conclusion: Although the qualities of the studies included in the meta-analysis were moderate, current evidence suggests that MRS may be a valuable adjunct to magnetic resonance imaging for diagnosing brain tumors, but requires selection of suitable technique and TE value.

Suggested Citation

  • Wenzhi Wang & Yumin Hu & Peiou Lu & Yingci Li & Yunfu Chen & Mohan Tian & Lijuan Yu, 2014. "Evaluation of the Diagnostic Performance of Magnetic Resonance Spectroscopy in Brain Tumors: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-11, November.
    • Handle: RePEc:plo:pone00:0112577
    DOI: 10.1371/journal.pone.0112577
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    1. Yongshuai Jiang & Ruijie Zhang & Jiajia Zheng & Panpan Liu & Guoping Tang & Hongchao Lv & Lanying Zhang & Zhenwei Shang & Yuanbo Zhan & Wenhua Lv & Miao Shi & Ruimin Zhang, 2012. "Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    2. Kristian Thorlund & Georgina Imberger & Bradley C Johnston & Michael Walsh & Tahany Awad & Lehana Thabane & Christian Gluud & P J Devereaux & Jørn Wetterslev, 2012. "Evolution of Heterogeneity (I2) Estimates and Their 95% Confidence Intervals in Large Meta-Analyses," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-8, July.
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