Literature DB >> 21505476

T(1)- and T(2)(*)-dominant extravasation correction in DSC-MRI: part II-predicting patient outcome after a single dose of cediranib in recurrent glioblastoma patients.

Kyrre E Emblem1, Atle Bjornerud, Kim Mouridsen, Ronald J H Borra, Tracy T Batchelor, Rakesh K Jain, A Gregory Sorensen.   

Abstract

A 'vascular normalization index' (VNI) based on the changes in the magnetic resonance imaging (MRI) parameters K(trans) and cerebral blood volume (CBV), combined with blood sampling, has been shown to correlate with patient outcome in recurrent glioblastoma after a single dose of antiangiogenic therapy. Here, by applying a novel contrast agent extravasation correction method insensitive to variations in tissue mean transit time, we show that a similar VNI parameter can be derived from a single dynamic susceptibility contrast MR acquisition rather than the three parameters shown previously. Our results show that this new VNI parameter, which combines changes in tumoral CBV and an apparent transfer constant from our leakage correction method, may provide prognostic information in an even simpler manner than prior efforts.

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Year:  2011        PMID: 21505476      PMCID: PMC3208147          DOI: 10.1038/jcbfm.2011.39

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  40 in total

1.  Simultaneous mapping of blood volume and endothelial permeability surface area product in gliomas using iterative analysis of first-pass dynamic contrast enhanced MRI data.

Authors:  K L Li; X P Zhu; D R Checkley; J J L Tessier; V F Hillier; J C Waterton; A Jackson
Journal:  Br J Radiol       Date:  2003-01       Impact factor: 3.039

2.  Aspects on the accuracy of cerebral perfusion parameters obtained by dynamic susceptibility contrast MRI: a simulation study.

Authors:  Linda Knutsson; Freddy Ståhlberg; Ronnie Wirestam
Journal:  Magn Reson Imaging       Date:  2004-07       Impact factor: 2.546

3.  Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts.

Authors:  P S Tofts; A G Kermode
Journal:  Magn Reson Med       Date:  1991-02       Impact factor: 4.668

4.  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

5.  An adiabatic approximation to the tissue homogeneity model for water exchange in the brain: I. Theoretical derivation.

Authors:  K S St Lawrence; T Y Lee
Journal:  J Cereb Blood Flow Metab       Date:  1998-12       Impact factor: 6.200

6.  Response criteria for phase II studies of supratentorial malignant glioma.

Authors:  D R Macdonald; T L Cascino; S C Schold; J G Cairncross
Journal:  J Clin Oncol       Date:  1990-07       Impact factor: 44.544

7.  Taxane-induced apoptosis decompresses blood vessels and lowers interstitial fluid pressure in solid tumors: clinical implications.

Authors:  G Griffon-Etienne; Y Boucher; C Brekken; H D Suit; R K Jain
Journal:  Cancer Res       Date:  1999-08-01       Impact factor: 12.701

8.  Comparison of permeability in high-grade and low-grade brain tumors using dynamic susceptibility contrast MR imaging.

Authors:  James M Provenzale; Gin R Wang; Thomas Brenner; Jeffrey R Petrella; A Gregory Sorensen
Journal:  AJR Am J Roentgenol       Date:  2002-03       Impact factor: 3.959

9.  Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade.

Authors:  Meng Law; Stanley Yang; James S Babb; Edmond A Knopp; John G Golfinos; David Zagzag; Glyn Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2004-05       Impact factor: 3.825

Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

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  18 in total

1.  Permeability measurement using dynamic susceptibility contrast magnetic resonance imaging enhances differential diagnosis of primary central nervous system lymphoma from glioblastoma.

Authors:  Ji Ye Lee; Atle Bjørnerud; Ji Eun Park; Bo Eun Lee; Joo Hyun Kim; Ho Sung Kim
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

2.  On the Use of DSC-MRI for Measuring Vascular Permeability.

Authors:  J T Skinner; P L Moots; G D Ayers; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-01       Impact factor: 3.825

3.  Impact of Software Modeling on the Accuracy of Perfusion MRI in Glioma.

Authors:  L S Hu; Z Kelm; P Korfiatis; A C Dueck; C Elrod; B M Ellingson; T J Kaufmann; J M Eschbacher; J P Karis; K Smith; P Nakaji; D Brinkman; D Pafundi; L C Baxter; B J Erickson
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-10       Impact factor: 3.825

4.  Delayed contrast extravasation MRI: a new paradigm in neuro-oncology.

Authors:  Leor Zach; David Guez; David Last; Dianne Daniels; Yuval Grober; Ouzi Nissim; Chen Hoffmann; Dvora Nass; Alisa Talianski; Roberto Spiegelmann; Galia Tsarfaty; Sharona Salomon; Moshe Hadani; Andrew Kanner; Deborah T Blumenthal; Felix Bukstein; Michal Yalon; Jacob Zauberman; Jonathan Roth; Yigal Shoshan; Evgeniya Fridman; Marc Wygoda; Dror Limon; Tzahala Tzuk; Zvi R Cohen; Yael Mardor
Journal:  Neuro Oncol       Date:  2014-11-30       Impact factor: 12.300

5.  Prognostic Predictions for Patients with Glioblastoma after Standard Treatment: Application of Contrast Leakage Information from DSC-MRI within Nonenhancing FLAIR High-Signal-Intensity Lesions.

Authors:  S H Kim; K H Cho; S H Choi; T M Kim; C K Park; S H Park; J K Won; I H Kim; S T Lee
Journal:  AJNR Am J Neuroradiol       Date:  2019-11-14       Impact factor: 3.825

6.  Lessons from anti-vascular endothelial growth factor and anti-vascular endothelial growth factor receptor trials in patients with glioblastoma.

Authors:  Christine Lu-Emerson; Dan G Duda; Kyrre E Emblem; Jennie W Taylor; Elizabeth R Gerstner; Jay S Loeffler; Tracy T Batchelor; Rakesh K Jain
Journal:  J Clin Oncol       Date:  2015-02-23       Impact factor: 44.544

Review 7.  An Update on the Approach to the Imaging of Brain Tumors.

Authors:  Katherine M Mullen; Raymond Y Huang
Journal:  Curr Neurol Neurosci Rep       Date:  2017-07       Impact factor: 5.081

8.  Evaluation of microvascular permeability with dynamic contrast-enhanced MRI for the differentiation of primary CNS lymphoma and glioblastoma: radiologic-pathologic correlation.

Authors:  P Kickingereder; F Sahm; B Wiestler; M Roethke; S Heiland; H-P Schlemmer; W Wick; A von Deimling; M Bendszus; A Radbruch
Journal:  AJNR Am J Neuroradiol       Date:  2014-04-10       Impact factor: 3.825

9.  CT imaging correlates of genomic expression for oral cavity squamous cell carcinoma.

Authors:  C R Pickering; K Shah; S Ahmed; A Rao; M J Frederick; J Zhang; A K Unruh; J Wang; L E Ginsberg; A J Kumar; J N Myers; J D Hamilton
Journal:  AJNR Am J Neuroradiol       Date:  2013-06-13       Impact factor: 3.825

10.  Pseudo-extravasation rate constant of dynamic susceptibility contrast-MRI determined from pharmacokinetic first principles.

Authors:  Xin Li; Csanad G Varallyay; Seymur Gahramanov; Rongwei Fu; William D Rooney; Edward A Neuwelt
Journal:  NMR Biomed       Date:  2017-09-08       Impact factor: 4.044

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