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Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics

  • Diagnostic Neuroradiology
  • Published:
Neuroradiology Aims and scope Submit manuscript

An Erratum to this article was published on 21 May 2016

Abstract

Introduction

To perform a meta-analysis of advanced magnetic resonance imaging (MRI) metrics, including relative cerebral blood volume (rCBV), normalized apparent diffusion coefficient (nADC), and spectroscopy ratios choline/creatine (Cho/Cr) and choline/N-acetyl aspartate (Cho/NAA), for the differentiation of high- and low-grade gliomas (HGG, LGG) and metastases (MTS).

Methods

For systematic review, 83 articles (dated 2000–2013) were selected from the NCBI database. Twenty-four, twenty-two, and eight articles were included respectively for spectroscopy, rCBV, and nADC meta-analysis. In the meta-analysis, we calculated overall means for rCBV, nADC, Cho/Cr (short TE—from 20 to 35 ms, medium—from 135 to 144 ms), and Cho/NAA for the HGG, LGG, and MTS groups. We used random effects model to obtain weighted averages and select thresholds.

Results

Overall means (with 95 % CI) for rCBV, nADC, Cho/Cr (short and medium echo time, TE), and Cho/NAA were: for HGG 5.47 (4.78–6.15), 1.38 (1.16–1.60), 2.40 (1.67–3.13), 3.27 (2.78–3.77), and 4.71 (3.24–6.19); for LGG 2.00 (1.71–2.28), 1.61 (1.36–1.87), 1.46 (1.20–1.72), 1.71 (1.49–1.93), and 2.36 (1.50–3.23); for MTS 5.06 (3.85–6.27), 1.35 (1.06–1.64), 1.89 (1.72–2.06), 3.14 (1.57–4.72), (Cho/NAA was not available). LGG had significantly lower rCBV, Cho/Cr, and Cho/NAA values than HGG or MTS. No significant differences were found for nADC.

Conclusions

Best differentiation between HGG and LGG is obtained from rCBV, Cho/Cr, and Cho/NAA metrics. MTS could not be reliably distinguished from HGG by the methods investigated.

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Authors and Affiliations

  1. National Cancer Institute, Radiology Center, Santariskiu 1, LT-08660, Vilnius, Lithuania

    Jurgita Usinskiene, Jonas Venius, Ryte Rynkeviciene, Simona Letautiene, Darius Norkus, Kestutis Suziedelis & Eduardas Aleknavicius

  2. Faculty of Medicine, Vilnius University, Vilnius, Lithuania

    Agne Ulyte, Simona Letautiene, Saulius Rocka & Eduardas Aleknavicius

  3. Department of Physics, Oslo University Hospital, Oslo, Norway

    Atle Bjørnerud

  4. The Intervention Centre, Oslo University Hospital, Oslo, Norway

    Atle Bjørnerud

  5. General Anti-Cancer and Oncological Hospital “St. Savvas”, Athens, Greece

    Vasileios K. Katsaros

  6. Neuroangiosurgery Center, Faculty of Medicine Vilnius University, Vilnius, Lithuania

    Saulius Rocka

  7. Department of Electronic Systems, Vilnius Gedimino Technical University, Vilnius, Lithuania

    Andrius Usinskas

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  1. Jurgita Usinskiene
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  12. Eduardas Aleknavicius
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Correspondence to Jurgita Usinskiene.

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We declare that this manuscript is a meta-analysis study based on previous published studies and does not contain our original clinical studies or patient data.

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Usinskiene, J., Ulyte, A., Bjørnerud, A. et al. Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics. Neuroradiology 58, 339–350 (2016). https://doi.org/10.1007/s00234-016-1642-9

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  • DOI: https://doi.org/10.1007/s00234-016-1642-9

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