Literature DB >> 25154323

Prognostic value of blood flow estimated by arterial spin labeling and dynamic susceptibility contrast-enhanced MR imaging in high-grade gliomas.

Mandy Kim Rau1, Christian Braun, Marco Skardelly, Jens Schittenhelm, Frank Paulsen, Benjamin Bender, Ulrike Ernemann, Sotirios Bisdas.   

Abstract

Several studies evaluated the predictive value of dynamic susceptibility contrast enhanced (DSC) imaging and arterial spin labeling (ASL) with regard to histological grade. Yet still less is known about their significance in terms of patients prognosis. Our purpose was to evaluate the agreement between them and the prognostic value of ASL- and DSC-CBF measurements for time-to-recurrence (TTR). Sixty nine cases of WHO Grade 3-4 gliomas underwent both DSC- and ASL-MRI. Normalized ASL and DSC-based cerebral blood flow (CBF) maps as well as DSC-derived cerebral blood volume maps (CBV) were analyzed. Wilcoxon test and Bland-Altman plot analysis were applied in order to compare DSC-rCBF and ASL-rCBF. Spearman's rank correlation coefficients were determined for all perfusion parameters. Receiver operating characteristic (ROC) curve and survival curve analyses were performed. The median values of ASL-rCBF, DSC-rCBF, and DSC-rCBV were 5.3, 6.9, and 8.0, respectively. There was neither significant correlation nor difference between ASL-rCBF and DSC-rCBF. Slight proportional bias was demonstrated in the Bland-Altman plot analysis of ASL-rCBF and DSC-rCBF values. Unlikely to DSC-rCBV, DSC- and ASL-based rCBF parameters demonstrated moderate sensitivity and specifitity for tumor recurrence but no statistical significance regarding their prognostic values for TTR in the Kaplan-Meier analysis. There were neither correlation nor interchangeability between the DSC-rCBF and ASL-rCBF estimations, which demonstrated comparable, though not significant prognostic value for the prediction of TTR. rCBV measurements seem to provide the best sensitivity and specificity to predict tumor recurrence and survival time in these patients.

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Year:  2014        PMID: 25154323     DOI: 10.1007/s11060-014-1586-z

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  44 in total

1.  Comparison of arterial spin-labeling techniques and dynamic susceptibility-weighted contrast-enhanced MRI in perfusion imaging of normal brain tissue.

Authors:  Marc-André Weber; Matthias Günther; Matthias P Lichy; Stefan Delorme; André Bongers; Christoph Thilmann; Marco Essig; Ivan Zuna; Lothar R Schad; Jürgen Debus; Heinz-Peter Schlemmer
Journal:  Invest Radiol       Date:  2003-11       Impact factor: 6.016

2.  Determining the longitudinal relaxation time (T1) of blood at 3.0 Tesla.

Authors:  Hanzhang Lu; Chekesha Clingman; Xavier Golay; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

3.  Regional and voxel-wise comparisons of blood flow measurements between dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) and arterial spin labeling (ASL) in brain tumors.

Authors:  Carissa M White; Whitney B Pope; Taryar Zaw; Joe Qiao; Kourosh M Naeini; Albert Lai; Phioanh L Nghiemphu; J J Wang; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  J Neuroimaging       Date:  2012-06-05       Impact factor: 2.486

4.  Validation study of a pulsed arterial spin labeling technique by comparison to perfusion computed tomography.

Authors:  Adrian M Koziak; Jeff Winter; Ting-Yim Lee; R Terry Thompson; Keith S St Lawrence
Journal:  Magn Reson Imaging       Date:  2007-12-11       Impact factor: 2.546

5.  The theory and applications of the exchange of inert gas at the lungs and tissues.

Authors:  S S KETY
Journal:  Pharmacol Rev       Date:  1951-03       Impact factor: 25.468

6.  Evidence of the limitations of water as a freely diffusible tracer in brain of the rhesus monkey.

Authors:  J O Eichling; M E Raichle; R L Grubb; M M Ter-Pogossian
Journal:  Circ Res       Date:  1974-09       Impact factor: 17.367

7.  Method for improving the accuracy of quantitative cerebral perfusion imaging.

Authors:  Ken E Sakaie; Wanyong Shin; Kenneth R Curtin; Richard M McCarthy; Ty A Cashen; Timothy J Carroll
Journal:  J Magn Reson Imaging       Date:  2005-05       Impact factor: 4.813

8.  Dexamethasone and enhancing solitary cerebral mass lesions: alterations in perfusion and blood-tumor barrier kinetics shown by magnetic resonance imaging.

Authors:  Iain D Wilkinson; David A Jellineck; David Levy; Frederik L Giesel; Charles A J Romanowski; Barbara-Ann Miller; Paul D Griffiths
Journal:  Neurosurgery       Date:  2006-04       Impact factor: 4.654

9.  Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

Authors:  Michael H Lev; Yelda Ozsunar; John W Henson; Amjad A Rasheed; Glenn D Barest; Griffith R Harsh; Markus M Fitzek; E Antonio Chiocca; James D Rabinov; Andrew N Csavoy; Bruce R Rosen; Fred H Hochberg; Pamela W Schaefer; R Gilberto Gonzalez
Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

10.  Early changes measured by magnetic resonance imaging in cerebral blood flow, blood volume, and blood-brain barrier permeability following dexamethasone treatment in patients with brain tumors.

Authors:  L Ostergaard; F H Hochberg; J D Rabinov; A G Sorensen; M Lev; L Kim; R M Weisskoff; R G Gonzalez; C Gyldensted; B R Rosen
Journal:  J Neurosurg       Date:  1999-02       Impact factor: 5.115

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  9 in total

1.  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

2.  3D Pseudocontinuous Arterial Spin-Labeling MR Imaging in the Preoperative Evaluation of Gliomas.

Authors:  Q Zeng; B Jiang; F Shi; C Ling; F Dong; J Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2017-07-20       Impact factor: 3.825

3.  Simultaneous evaluation of brain tumour metabolism, structure and blood volume using [(18)F]-fluoroethyltyrosine (FET) PET/MRI: feasibility, agreement and initial experience.

Authors:  Otto M Henriksen; Vibeke A Larsen; Aida Muhic; Adam E Hansen; Henrik B W Larsson; Hans S Poulsen; Ian Law
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-09-12       Impact factor: 9.236

4.  Pediatric astrocytic tumor grading: comparison between arterial spin labeling and dynamic susceptibility contrast MRI perfusion.

Authors:  Giovanni Morana; Domenico Tortora; Serena Staglianò; Paolo Nozza; Samantha Mascelli; Mariasavina Severino; Gianluca Piatelli; Alessandro Consales; Maarten Lequin; Maria Luisa Garrè; Andrea Rossi
Journal:  Neuroradiology       Date:  2018-02-16       Impact factor: 2.804

5.  3D pseudo-continuous arterial spin labeling-MRI (3D PCASL-MRI) in the differential diagnosis between glioblastomas and primary central nervous system lymphomas.

Authors:  A I Batalov; R M Afandiev; N E Zakharova; E L Pogosbekyan; A A Shulgina; G L Kobyakov; A A Potapov; I N Pronin
Journal:  Neuroradiology       Date:  2022-02-03       Impact factor: 2.995

6.  Automatic determination of the arterial input function in dynamic susceptibility contrast MRI: comparison of different reproducible clustering algorithms.

Authors:  Jiandong Yin; Jiawen Yang; Qiyong Guo
Journal:  Neuroradiology       Date:  2015-01-30       Impact factor: 2.804

7.  3D pCASL-perfusion in preoperative assessment of brain gliomas in large cohort of patients.

Authors:  A I Batalov; N E Zakharova; I N Pronin; A Yu Belyaev; E L Pogosbekyan; S A Goryaynov; A E Bykanov; A N Tyurina; A M Shevchenko; K D Solozhentseva; P V Nikitin; A A Potapov
Journal:  Sci Rep       Date:  2022-02-08       Impact factor: 4.379

8.  Association of dynamic susceptibility magnetic resonance imaging at initial tumor diagnosis with the prognosis of different molecular glioma subtypes.

Authors:  Cornelia Brendle; Uwe Klose; Johann-Martin Hempel; Jens Schittenhelm; Marco Skardelly; Ghazaleh Tabatabai; Ulrike Ernemann; Benjamin Bender
Journal:  Neurol Sci       Date:  2020-05-28       Impact factor: 3.307

9.  Perfusion magnetic resonance imaging provides additional information as compared to anatomical imaging for decision-making in vestibular schwannoma.

Authors:  M C Kleijwegt; A G L van der Mey; F T Wiggers-deBruine; M J A Malessy; M J P van Osch
Journal:  Eur J Radiol Open       Date:  2016-06-15
  9 in total

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