Low-Grade Gliomas: Role of Relative Cerebral Blood Volume in Malignant Transformation

Abstract Background Brain tumors are an important health problem. The preoperative classification of gliomas by non-invasive techniques is a significant problem. Relative cerebral blood volume and spectroscopy have the ability to sample the entire lesion non-invasively. The present study aims to evaluate the combined role of dynamic susceptibility perfusion and spectroscopy in the classification of primary brain tumors. The combination of both provides overall diagnostic accuracy (100%). Relative cerebral blood volume in peritumoral region plays an important additional role in this regard. Results On the basis of histopathology, among 50 patients with brain tumors, high-grade gliomas accounted for 58%, while low-grade gliomas accounted for 42%. The relative cerebral blood volume in the tumor had the best sensitivity, specificity, and accuracy of 96.8%, 95.3%, and 96, respectively. The use of relative cerebral blood volume and choline/N-acetyl Aspartate increased diagnostic accuracy by 100%. Conclusion The combination of magnetic resonance spectroscopy and perfusion can increase sensitivity and positive predictive value to define the degree of glioma.

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Inclusion or Exclusion of Intratumoral Vessels in Relative Cerebral Blood Volume Characterization in Low-Grade Gliomas: Does It Make a Difference?

American Journal of Neuroradiology ◽

10.3174/ajnr.a0993 ◽

2008 ◽

Vol 29 (6) ◽

pp. 1140-1141 ◽

Cited By ~ 17

Author(s):

G. Brasil Caseiras ◽

J.S. Thornton ◽

T. Yousry ◽

C. Benton ◽

J. Rees ◽

...

Keyword(s):

Blood Volume ◽

Cerebral Blood Volume ◽

Low Grade ◽

Low Grade Gliomas ◽

Relative Cerebral Blood Volume

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Relative cerebral blood volume measurements of low-grade gliomas predict patient outcome in a multi-institution setting

European Journal of Radiology ◽

10.1016/j.ejrad.2008.11.005 ◽

2010 ◽

Vol 73 (2) ◽

pp. 215-220 ◽

Cited By ~ 53

Author(s):

Gisele B. Caseiras ◽

Sophie Chheang ◽

James Babb ◽

Jeremy H. Rees ◽

Nicole Pecerrelli ◽

...

Keyword(s):

Patient Outcome ◽

Blood Volume ◽

Cerebral Blood Volume ◽

Low Grade ◽

Low Grade Gliomas ◽

Relative Cerebral Blood Volume ◽

Volume Measurements

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Exploring the role of inflammation in the malignant transformation of low-grade gliomas

Journal of Neuroimmunology ◽

10.1016/j.jneuroim.2016.05.019 ◽

2016 ◽

Vol 297 ◽

pp. 132-140 ◽

Cited By ~ 25

Author(s):

Nicole Michelson ◽

Jordina Rincon-Torroella ◽

Alfredo Quiñones-Hinojosa ◽

Jeffrey P. Greenfield

Keyword(s):

Malignant Transformation ◽

Low Grade ◽

Low Grade Gliomas

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The role of multi-parametric magnetic resonance imaging (MRI) in early prediction of malignant transformation of low-grade Gliomas (A Systematic review)

GSC Advanced Research and Reviews ◽

10.30574/gscarr.2020.5.3.0122 ◽

2020 ◽

Vol 5 (3) ◽

pp. 014-029

Author(s):

Mohammed Danfulani ◽

Shamsuddeen Ahmad Aliyu

Keyword(s):

Malignant Transformation ◽

Large Scale ◽

Reference List ◽

Low Grade ◽

Early Prediction ◽

High Tendency ◽

Hand Search ◽

Low Grade Gliomas ◽

Mri Studies

Introduction: Low-grade gliomas is the most common primary brain tumour, although the presentation may take up to two decades, there is high tendency of early malignant transformation which raise a growing concern. Multi-parametric MRI studies have the potential for predicting the early malignant transformation. Methods: A comprehensive electronic search of various databases was conducted together with forward tracking of the reference list to retrieve relevant qualitative primary studies. Moreover, hand search for journal that was not available electronically was also conducted. Through assessment of the relevant studies was ensured and the included studies were carefully selected. The relevant data was extracted by data extraction form recommended by Cochrane collaborations. Results: The search yielded 1158 which was narrowed down to eight (8) studies that satisfied the inclusion criteria. These studies are assessing the role of different MRI parameters in predicting the early malignant transformation of Low-grade gliomas. The risk of bias and the applicability concern of the included studies are low. Conclusion: Based on the findings of this review; Multi-parametric MRI studies have the potential of predicting the early malignant transformation of low-grade gliomas. There is need for high quality large scale, prospective studies on the role of multi-parametric MRI studies in early prediction of malignant transformation of LGGs and meta-analysis of these studies is highly recommended.

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