Literature DB >> 20103416

Solitary metastases and high-grade gliomas: radiological differentiation by morphometric analysis and perfusion-weighted MRI.

B Hakyemez1, C Erdogan, G Gokalp, A Dusak, M Parlak.   

Abstract

AIM: To evaluate the value of morphometric analysis and perfusion-weighted magnetic resonance imaging (MRI) in differentiating solitary metastases from high-grade gliomas.
MATERIALS AND METHODS: Forty-eight tumours (22 high-grade gliomas and 26 solitary hemispheric metastases) were evaluated using conventional and perfusion-weighted MRI. T2-weighted, gradient-echo, echo-planar sequences were used for perfusion-weighted MRI. Relative cerebral blood volume (rCBV) ratios were calculated by dividing the rCBV of the intratumoural and peritumoural areas with the average CBV value of the normal white matter areas. Morphometric analysis was carried out by proportioning the area of peritumoural oedema to the mass area. Mann-Whitney U test and ROC curve analysis were applied for statistical analysis. P<0.05 was accepted as statistically significant.
RESULTS: Mean rCBV ratios of intratumoural areas of high-grade gliomas and metastases were 5.02+/-2.47 and 4.62+/-2.46, respectively. No statistically significant difference was found (p=0.515). rCBV ratios of peritumoural oedema were 0.89+/-0.51 in high-grade gliomas and 0.31+/-0.12 in metastases. The difference was statistically significant (p<0.001). According to the results of morphometric analysis, a statistically significant difference was present between the two tumour types (p<0.001).
CONCLUSION: Measuring the oedema: mass and rCBV ratios of the oedema surrounding the tumour prior to operation in solitary masses proved to be useful for differentiating metastases from high-grade gliomas. Copyright 2009 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20103416     DOI: 10.1016/j.crad.2009.09.005

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  22 in total

Review 1.  Clinical applications of dynamic susceptibility contrast perfusion-weighted MR imaging in brain tumours.

Authors:  A Romano; M C Rossi Espagnet; L F Calabria; V Coppola; L Figà Talamanca; V Cipriani; G Minniti; A Pierallini; L M Fantozzi; A Bozzao
Journal:  Radiol Med       Date:  2011-09-02       Impact factor: 3.469

2.  [Towards more precision in the therapy of brain tumors. Possibilities and limits of MRI].

Authors:  A Radbruch; E Hattingen
Journal:  Nervenarzt       Date:  2015-06       Impact factor: 1.214

3.  Meta-analysis of peritumoural rCBV values derived from dynamic susceptibility contrast imaging in differentiating high-grade gliomas from intracranial metastases.

Authors:  Ruofei Liang; Xiang Wang; Mao Li; Yuan Yang; Jiewen Luo; Qing Mao; Yanhui Liu
Journal:  Int J Clin Exp Med       Date:  2014-09-15

Review 4.  Advanced MR Imaging in Neuro-oncology.

Authors:  A Radbruch; M Bendszus
Journal:  Clin Neuroradiol       Date:  2015-07-29       Impact factor: 3.649

Review 5.  Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis.

Authors:  Chong Hyun Suh; Ho Sung Kim; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim
Journal:  Eur Radiol       Date:  2018-04-04       Impact factor: 5.315

6.  Identifying the survival subtypes of glioblastoma by quantitative volumetric analysis of MRI.

Authors:  Zhe Zhang; Haihui Jiang; Xuzhu Chen; Jiwei Bai; Yong Cui; Xiaohui Ren; Xiaolin Chen; Junmei Wang; Wei Zeng; Song Lin
Journal:  J Neurooncol       Date:  2014-05-15       Impact factor: 4.130

Review 7.  Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.

Authors:  Jurgita Usinskiene; Agne Ulyte; Atle Bjørnerud; Jonas Venius; Vasileios K Katsaros; Ryte Rynkeviciene; Simona Letautiene; Darius Norkus; Kestutis Suziedelis; Saulius Rocka; Andrius Usinskas; Eduardas Aleknavicius
Journal:  Neuroradiology       Date:  2016-01-15       Impact factor: 2.804

Review 8.  Advanced magnetic resonance imaging biomarkers of cerebral metastases.

Authors:  S J Mills; G Thompson; A Jackson
Journal:  Cancer Imaging       Date:  2012-08-10       Impact factor: 3.909

9.  Differentiation of glioblastoma multiforme from metastatic brain tumor using proton magnetic resonance spectroscopy, diffusion and perfusion metrics at 3 T.

Authors:  Ioannis Tsougos; Patricia Svolos; Evanthia Kousi; Konstantinos Fountas; Kyriaki Theodorou; Ioannis Fezoulidis; Eftychia Kapsalaki
Journal:  Cancer Imaging       Date:  2012-10-26       Impact factor: 3.909

10.  Imaging of brain metastases.

Authors:  Kathleen R Fink; James R Fink
Journal:  Surg Neurol Int       Date:  2013-05-02
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