Literature DB >> 15767107

High-grade and low-grade gliomas: differentiation by using perfusion MR imaging.

B Hakyemez1, C Erdogan, I Ercan, N Ergin, S Uysal, S Atahan.   

Abstract

AIM: Relative cerebral blood volume (rCBV) is a commonly used perfusion magnetic resonance imaging (MRI) technique for the evaluation of tumour grade. Relative cerebral blood flow (rCBF) has been less studied. The goal of our study was to determine the usefulness of these parameters in evaluating the histopathological grade of the cerebral gliomas.
METHODS: This study involved 33 patients (22 high-grade and 11 low-grade glioma cases). MRI was performed for all tumours by using a first-passage gadopentetate dimeglumine T2*-weighted gradient-echo single-shot echo-planar sequence followed by conventional MRI. The rCBV and rCBF were calculated by deconvolution of an arterial input function. The rCBV and rCBF ratios of the lesions were obtained by dividing the values obtained from the normal white matter of the contralateral hemisphere. For statistical analysis Mann-Whitney testing was carried out. A p value of less than 0.05 indicated a statistically significant difference. Receiver operating characteristic curve (ROC) analysis was performed to assess the relationship between the rCBV and rCBF ratios and grade of gliomas. Their cut-off value permitting discrimination was calculated. The correlation between rCBV and CBF ratios and glioma grade was assessed using Pearson correlation analysis.
RESULTS: In high-grade gliomas, rCBV and rCBF ratios were measured as 6.50+/-4.29 and 3.32+/-1.87 (mean+/-SD), respectively. In low-grade gliomas, rCBV and rCBF ratios were 1.69+/-0.51 and 1.16+/-0.38, respectively. The rCBV and rCBF ratios for high-grade gliomas were statistically different from those of low-grade gliomas (p < 0.001). The rCBV and CBF ratios were significantly matched with respect to grade, but difference between the two areas was not significant (ROC analysis, p > 0.05). The cut-off value was taken as 1.98 in the rCBV ratio and 1.25 in the rCBF ratio. There was a strong correlation between the rCBV and CBF ratios (Pearson correlation = 0.830, p < 0.05).
CONCLUSION: Perfusion MRI is useful in the preoperative assessment of the histopathologicalal grade of gliomas; the rCBF ratio in addition to the rCBV ratio can be incorporated in MR perfusion analysis for the evaluation.

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Year:  2005        PMID: 15767107     DOI: 10.1016/j.crad.2004.09.009

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


  65 in total

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Authors:  P Darvishi; P P Batchala; J T Patrie; L M Poisson; M-B Lopes; R Jain; C E Fadul; D Schiff; S H Patel
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-23       Impact factor: 3.825

2.  Comparative study of pulsed-continuous arterial spin labeling and dynamic susceptibility contrast imaging by histogram analysis in evaluation of glial tumors.

Authors:  Atsuko Arisawa; Yoshiyuki Watanabe; Hisashi Tanaka; Hiroto Takahashi; Chisato Matsuo; Takuya Fujiwara; Masahiro Fujiwara; Yasunori Fujimoto; Noriyuki Tomiyama
Journal:  Neuroradiology       Date:  2018-04-29       Impact factor: 2.804

3.  Comparison of dynamic susceptibility-weighted contrast-enhanced MR methods: recommendations for measuring relative cerebral blood volume in brain tumors.

Authors:  Eric S Paulson; Kathleen M Schmainda
Journal:  Radiology       Date:  2008-09-09       Impact factor: 11.105

4.  A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.

Authors:  A Hilario; J M Sepulveda; A Perez-Nuñez; E Salvador; J M Millan; A Hernandez-Lain; V Rodriguez-Gonzalez; A Lagares; A Ramos
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-23       Impact factor: 3.825

5.  Developmental Venous Anomalies Mimicking Neoplasm on 11C-Methionine PET and DSC Perfusion MRI.

Authors:  Julie H Harreld; Mikhail Doubrovin; Elizabeth R Butch; Angela Edwards; Barry Shulkin
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6.  Survival analysis in patients with newly diagnosed primary glioblastoma multiforme using pre- and post-treatment peritumoral perfusion imaging parameters.

Authors:  Asim K Bag; Phillip C Cezayirli; Jake J Davenport; Santhosh Gaddikeri; Hassan M Fathallah-Shaykh; Alan Cantor; Xiaosi S Han; Louis B Nabors
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7.  High- and low-grade glioma differentiation: the role of percentage signal recovery evaluation in MR dynamic susceptibility contrast imaging.

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8.  Intravascular contrast agent T2* relaxivity in brain tissue.

Authors:  Vishal Patil; Jens H Jensen; Glyn Johnson
Journal:  NMR Biomed       Date:  2012-12-06       Impact factor: 4.044

9.  Inclusion or exclusion of intratumoral vessels in relative cerebral blood volume characterization in low-grade gliomas: does it make a difference?

Authors:  G Brasil Caseiras; J S Thornton; T Yousry; C Benton; J Rees; A D Waldman; H R Jäger
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-03       Impact factor: 3.825

10.  Malignant glioblastomatous transformation of a low-grade glioma in a child.

Authors:  Ekrem Unal; Yavuz Koksal; Omer Cimen; Yahya Paksoy; Lema Tavli
Journal:  Childs Nerv Syst       Date:  2008-10-01       Impact factor: 1.475

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