Literature DB >> 20857284

Measurements of diagnostic examination performance and correlation analysis using microvascular leakage, cerebral blood volume, and blood flow derived from 3T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in glial tumor grading.

Andrés Server1, Bjørn A Graff, Tone E Døli Orheim, Till Schellhorn, Roger Josefsen, Øystein B Gadmar, Per H Nakstad.   

Abstract

INTRODUCTION: To assess the diagnostic accuracy of microvascular leakage (MVL), cerebral blood volume (CBV) and blood flow (CBF) values derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging (DSC-MR imaging) for grading of cerebral glial tumors, and to estimate the correlation between vascular permeability/perfusion parameters and tumor grades.
METHODS: A prospective study of 79 patients with cerebral glial tumors underwent DSC-MR imaging. Normalized relative CBV (rCBV) and relative CBF (rCBF) from tumoral (rCBVt and rCBFt), peri-enhancing region (rCBVe and rCBFe), and the value in the tumor divided by the value in the peri-enhancing region (rCBVt/e and rCBFt/e), as well as MVL, expressed as the leakage coefficient K(2) were calculated. Hemodynamic variables and tumor grades were analyzed statistically and with Pearson correlations. Receiver operating characteristic (ROC) curve analyses were also performed for each of the variables.
RESULTS: The differences in rCBVt and the maximum MVL (MVL(max)) values were statistically significant among all tumor grades. Correlation analysis using Pearson was as follows: rCBVt and tumor grade, r = 0.774; rCBFt and tumor grade, r = 0.417; MVL(max) and tumor grade, r = 0.559; MVL(max) and rCBVt, r = 0.440; MVL(max) and rCBFt, r = 0.192; and rCBVt and rCBFt, r = 0.605. According to ROC analyses for distinguishing tumor grade, rCBVt showed the largest areas under ROC curve (AUC), except for grade III from IV.
CONCLUSION: Both rCBVt and MVL(max) showed good discriminative power in distinguishing all tumor grades. rCBVt correlated strongly with tumor grade; the correlation between MVL(max) and tumor grade was moderate.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20857284     DOI: 10.1007/s00234-010-0770-x

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  54 in total

1.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

2.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

3.  Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.

Authors:  Andrés Server; Tone E Døli Orheim; Bjørn A Graff; Roger Josefsen; Theresa Kumar; Per H Nakstad
Journal:  Neuroradiology       Date:  2010-07-13       Impact factor: 2.804

Review 4.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

Review 5.  Imaging angiogenesis: applications and potential for drug development.

Authors:  Janet C Miller; Homer H Pien; Dushyant Sahani; A Gregory Sorensen; James H Thrall
Journal:  J Natl Cancer Inst       Date:  2005-02-02       Impact factor: 13.506

6.  Reduction of vascular and permeable regions in solid tumors detected by macromolecular contrast magnetic resonance imaging after treatment with antiangiogenic agent TNP-470.

Authors:  Zaver M Bhujwalla; Dmitri Artemov; Kshama Natarajan; Meiyappan Solaiyappan; Peggy Kollars; Paul E G Kristjansen
Journal:  Clin Cancer Res       Date:  2003-01       Impact factor: 12.531

7.  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

8.  Microvascular adaptive changes in experimental endogenous brain gliomas.

Authors:  S Bulnes; J Bilbao; J V Lafuente
Journal:  Histol Histopathol       Date:  2009-06       Impact factor: 2.303

9.  Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas.

Authors:  M Law; R Young; J Babb; E Pollack; G Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

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

View more
  17 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.  Glioma grading by dynamic susceptibility contrast perfusion and 11C-methionine positron emission tomography using different regions of interest.

Authors:  Cornelia Brendle; Johann-Martin Hempel; Jens Schittenhelm; Marco Skardelly; Gerald Reischl; Benjamin Bender; Ulrike Ernemann; Christian la Fougère; Uwe Klose
Journal:  Neuroradiology       Date:  2018-02-20       Impact factor: 2.804

3.  Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma.

Authors:  M A Prah; S M Stufflebeam; E S Paulson; J Kalpathy-Cramer; E R Gerstner; T T Batchelor; D P Barboriak; B R Rosen; K M Schmainda
Journal:  AJNR Am J Neuroradiol       Date:  2015-06-11       Impact factor: 3.825

4.  Assessment of brain tumors by magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging and computed tomography perfusion: a comparison study.

Authors:  Elisa Scola; Ilaria Desideri; Andrea Bianchi; Davide Gadda; Giorgio Busto; Alessandro Fiorenza; Tommaso Amadori; Sara Mancini; Vittorio Miele; Enrico Fainardi
Journal:  Radiol Med       Date:  2022-04-20       Impact factor: 6.313

5.  Differentiation of primary central nervous system lymphomas and glioblastomas: comparisons of diagnostic performance of dynamic susceptibility contrast-enhanced perfusion MR imaging without and with contrast-leakage correction.

Authors:  C H Toh; K-C Wei; C-N Chang; S-H Ng; H-F Wong
Journal:  AJNR Am J Neuroradiol       Date:  2013-01-24       Impact factor: 3.825

6.  Integrating diffusion kurtosis imaging, dynamic susceptibility-weighted contrast-enhanced MRI, and short echo time chemical shift imaging for grading gliomas.

Authors:  Sofie Van Cauter; Frederik De Keyzer; Diana M Sima; Anca Croitor Sava; Felice D'Arco; Jelle Veraart; Ronald R Peeters; Alexander Leemans; Stefaan Van Gool; Guido Wilms; Philippe Demaerel; Sabine Van Huffel; Stefan Sunaert; Uwe Himmelreich
Journal:  Neuro Oncol       Date:  2014-07       Impact factor: 12.300

7.  Differentiation of edema and glioma infiltration: proposal of a DTI-based probability map.

Authors:  Friso W A Hoefnagels; Philip De Witt Hamer; Ernesto Sanz-Arigita; Sander Idema; Joost P A Kuijer; Petra J W Pouwels; Frederik Barkhof; W Peter Vandertop
Journal:  J Neurooncol       Date:  2014-07-31       Impact factor: 4.130

8.  In Vivo Molecular Profiling of Human Glioma : Cross-Sectional Observational Study Using Dynamic Susceptibility Contrast Magnetic Resonance Perfusion Imaging.

Authors:  Johann-Martin Hempel; Jens Schittenhelm; Uwe Klose; Benjamin Bender; Georg Bier; Marco Skardelly; Ghazaleh Tabatabai; Salvador Castaneda Vega; Ulrike Ernemann; Cornelia Brendle
Journal:  Clin Neuroradiol       Date:  2018-02-21       Impact factor: 3.156

9.  Differentiation of brain abscesses from glioblastomas and metastatic brain tumors: comparisons of diagnostic performance of dynamic susceptibility contrast-enhanced perfusion MR imaging before and after mathematic contrast leakage correction.

Authors:  Cheng Hong Toh; Kuo-Chen Wei; Chen-Nen Chang; Shu-Hang Ng; Ho-Fai Wong; Ching-Po Lin
Journal:  PLoS One       Date:  2014-10-17       Impact factor: 3.240

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.