Literature DB >> 25762408

High- and low-grade glioma differentiation: the role of percentage signal recovery evaluation in MR dynamic susceptibility contrast imaging.

Italo Aprile1, Giorgia Giovannelli2, Paola Fiaschini3, Marco Muti4, Anna Kouleridou5, Nevia Caputo6.   

Abstract

PURPOSE: Evaluation of cerebral blood volume (CBV) with magnetic resonance (MR) imaging can differentiate low-grade from high-grade gliomas. The percentage of signal recovery (PSR) in the venous phase of perfusion curves is inversely proportional to blood-brain barrier (BBB) permeability. Since even BBB permeability relates to glioma malignancy grade, we carried out a comparative evaluation between CBV and PSR to characterise cerebral gliomas.
MATERIALS AND METHODS: Forty-nine patients with cerebral gliomas were studied with MR perfusion imaging. In all tumours, both maximum CBV and minimum PSR were calculated. The difference between the CBV and PSR mean values among the low-grade and high-grade gliomas was assessed using statistical methods. We also examined whether there was an additional difference between low-grade and grade III gliomas. Finally, CBV and PSR diagnostic sensitivity and specificity in identifying low-grade gliomas compared to all gliomas and low-grade gliomas compared to all gliomas excluding glioblastomas was assessed.
RESULTS: A significant difference between low-grade and high-grade gliomas with both CBV and PSR was demonstrated. Conversely, there was a significant difference between low-grade and grade III gliomas only with PSR, while CBV did not show significant difference. Finally, superior sensitivity and specificity of PSR compared to CBV in identifying low-grade gliomas was demonstrated both compared to all gliomas and all gliomas excluding glioblastomas.
CONCLUSION: The PSR evaluation proved better than CBV for determining the grade of brain and is therefore a useful tool to be considered in the MR evaluation of gliomas.

Entities:  

Keywords:  Glioma; Magnetic resonance; Perfusion imaging; Permeability

Mesh:

Year:  2015        PMID: 25762408     DOI: 10.1007/s11547-015-0511-7

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  28 in total

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Authors:  Soonmee Cha
Journal:  Neurotherapeutics       Date:  2009-07       Impact factor: 7.620

2.  Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity.

Authors:  Janine M Lupo; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

3.  Comparing perfusion metrics obtained from a single compartment versus pharmacokinetic modeling methods using dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade.

Authors:  M Law; R Young; J Babb; M Rad; T Sasaki; D Zagzag; G Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2006-10       Impact factor: 3.825

4.  Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; T Hirai; T Okuda; Y Shigematsu; L Liang; Y Ge; Y Ushio; M Takahashi
Journal:  AJR Am J Roentgenol       Date:  1998-12       Impact factor: 3.959

5.  Extravascular diffusion in normal and neoplastic tissues.

Authors:  L J Nugent; R K Jain
Journal:  Cancer Res       Date:  1984-01       Impact factor: 12.701

6.  Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps.

Authors:  Kyrre E Emblem; Baard Nedregaard; Terje Nome; Paulina Due-Tonnessen; John K Hald; David Scheie; Olivera Casar Borota; Milada Cvancarova; Atle Bjornerud
Journal:  Radiology       Date:  2008-06       Impact factor: 11.105

7.  Differentiation of glioblastoma multiforme and single brain metastasis by peak height and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  S Cha; J M Lupo; M-H Chen; K R Lamborn; M W McDermott; M S Berger; S J Nelson; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2007 Jun-Jul       Impact factor: 3.825

8.  Histologic factors in the grading and prognosis of astrocytoma grade I-IV.

Authors:  E H Rutten; W H Doesburg; J L Slooff
Journal:  J Neurooncol       Date:  1992-07       Impact factor: 4.130

9.  Using relative cerebral blood flow and volume to evaluate the histopathologic grade of cerebral gliomas: preliminary results.

Authors:  Ji Hoon Shin; Ho Kyu Lee; Byung Duk Kwun; Jin-Suh Kim; Weechang Kang; Choong Gon Choi; Dae Chul Suh
Journal:  AJR Am J Roentgenol       Date:  2002-09       Impact factor: 3.959

10.  Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade.

Authors:  H C Roberts; T P Roberts; R C Brasch; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2000-05       Impact factor: 4.966

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  6 in total

Review 1.  Accuracy of percentage of signal intensity recovery and relative cerebral blood volume derived from dynamic susceptibility-weighted, contrast-enhanced MRI in the preoperative diagnosis of cerebral tumours.

Authors:  Ananya Chakravorty; Timothy Steel; Joga Chaganti
Journal:  Neuroradiol J       Date:  2015-10-16

2.  Perfusion and diffusion MRI signatures in histologic and genetic subtypes of WHO grade II-III diffuse gliomas.

Authors:  Kevin Leu; Garrett A Ott; Albert Lai; Phioanh L Nghiemphu; Whitney B Pope; William H Yong; Linda M Liau; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  J Neurooncol       Date:  2017-05-25       Impact factor: 4.130

3.  Alterations of the Blood-Brain Barrier and Regional Perfusion in Tumor Development: MRI Insights from a Rat C6 Glioma Model.

Authors:  Monika Huhndorf; Amir Moussavi; Nadine Kramann; Olga Will; Kirsten Hattermann; Christine Stadelmann; Olav Jansen; Susann Boretius
Journal:  PLoS One       Date:  2016-12-22       Impact factor: 3.240

Review 4.  Clinical Applications of Contrast-Enhanced Perfusion MRI Techniques in Gliomas: Recent Advances and Current Challenges.

Authors:  Junfeng Zhang; Heng Liu; Haipeng Tong; Sumei Wang; Yizeng Yang; Gang Liu; Weiguo Zhang
Journal:  Contrast Media Mol Imaging       Date:  2017-03-20       Impact factor: 3.161

Review 5.  Blood-Brain Barrier Modulation to Improve Glioma Drug Delivery.

Authors:  Huilong Luo; Eric V Shusta
Journal:  Pharmaceutics       Date:  2020-11-12       Impact factor: 6.321

Review 6.  Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.

Authors:  Lelio Guida; Vittorio Stumpo; Jacopo Bellomo; Christiaan Hendrik Bas van Niftrik; Martina Sebök; Moncef Berhouma; Andrea Bink; Michael Weller; Zsolt Kulcsar; Luca Regli; Jorn Fierstra
Journal:  Cancers (Basel)       Date:  2022-03-10       Impact factor: 6.639

  6 in total

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