Literature DB >> 11498419

Perfusion-sensitive MR imaging of gliomas: comparison between gradient-echo and spin-echo echo-planar imaging techniques.

T Sugahara1, Y Korogi, M Kochi, Y Ushio, M Takahashi.   

Abstract

BACKGROUND AND
PURPOSE: The different sensitivities to vessel size of gradient-echo echo-planar imaging (GE-EPI) and spin-echo EPI (SE-EPI) might indicate the relative cerebral blood volumes (rCBVs) of different tumor sizes. The techniques of GE-EPI and SE-EPI were compared for detecting low- versus high-grade gliomas.
METHODS: Six patients with low-grade gliomas and 19 patients with high-grade gliomas underwent two perfusion-sensitive MR procedures, one produced by a GE- and the other by an SE-EPI technique. Maximum rCBV ratios normalized with rCBV of contralateral white matter were calculated for evaluation. P <.05 was considered statistically significant.
RESULTS: Maximum rCBV ratios of high-grade gliomas obtained with the GE-EPI technique (mean, 5.0 +/- 2.9) were significantly higher than those obtained with the SE-EPI technique (mean, 2.9 +/- 2.3) (P =.02). Maximum rCBV ratios of low-grade gliomas obtained with the GE-EPI technique (mean, 1.2 +/- 0.7) were almost equal to those obtained with the SE-EPI technique (mean, 1.2 +/- 0.6), and there was no significant difference (P =.66). The difference in the maximum rCBV ratios between the low- and high-grade gliomas reached significance when obtained with the GE-EPI technique (P =.01).
CONCLUSION: The GE-EPI technique seems more useful for detecting low- versus high-grade gliomas than the SE-EPI technique.

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Mesh:

Year:  2001        PMID: 11498419      PMCID: PMC7975222     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  23 in total

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2.  NMR imaging of changes in vascular morphology due to tumor angiogenesis.

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Authors:  A Villringer; B R Rosen; J W Belliveau; J L Ackerman; R B Lauffer; R B Buxton; Y S Chao; V J Wedeen; T J Brady
Journal:  Magn Reson Med       Date:  1988-02       Impact factor: 4.668

4.  Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model.

Authors:  S Ogawa; R S Menon; D W Tank; S G Kim; H Merkle; J M Ellermann; K Ugurbil
Journal:  Biophys J       Date:  1993-03       Impact factor: 4.033

5.  MR contrast due to intravascular magnetic susceptibility perturbations.

Authors:  J L Boxerman; L M Hamberg; B R Rosen; R M Weisskoff
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

6.  Intravascular susceptibility contrast mechanisms in tissues.

Authors:  R P Kennan; J Zhong; J C Gore
Journal:  Magn Reson Med       Date:  1994-01       Impact factor: 4.668

7.  Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis.

Authors:  L Axel
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8.  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

9.  The vasculature of experimental brain tumours. Part 3. Permeability studies.

Authors:  B R Deane; M I Papp; P L Lantos
Journal:  J Neurol Sci       Date:  1984-07       Impact factor: 3.181

10.  Vascular permeability and microcirculation of gliomas and mammary carcinomas transplanted in rat and mouse cranial windows.

Authors:  F Yuan; H A Salehi; Y Boucher; U S Vasthare; R F Tuma; R K Jain
Journal:  Cancer Res       Date:  1994-09-01       Impact factor: 12.701

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  43 in total

1.  Quantification of cerebral perfusion using the "bookend technique": an evaluation in CNS tumors.

Authors:  Timothy J Carroll; Sandra Horowitz; Wanyong Shin; Jessy Mouannes; Rahul Sawlani; Saad Ali; Jeffrey Raizer; Stephen Futterer
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2.  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
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3.  High-resolution steady-state cerebral blood volume maps in patients with central nervous system neoplasms using ferumoxytol, a superparamagnetic iron oxide nanoparticle.

Authors:  Csanad G Varallyay; Eric Nesbit; Rongwei Fu; Seymur Gahramanov; Brendan Moloney; Eric Earl; Leslie L Muldoon; Xin Li; William D Rooney; Edward A Neuwelt
Journal:  J Cereb Blood Flow Metab       Date:  2013-03-13       Impact factor: 6.200

4.  Comparison of first-pass and second-bolus dynamic susceptibility perfusion MRI in brain tumors.

Authors:  M Vittoria Spampinato; Caroline Wooten; Margaret Dorlon; Nada Besenski; Zoran Rumboldt
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5.  Perfusion MRI in the evaluation of the relationship between tumour growth, necrosis and angiogenesis in glioblastomas and grade 1 meningiomas.

Authors:  M Principi; M Italiani; A Guiducci; I Aprile; M Muti; G Giulianelli; P Ottaviano
Journal:  Neuroradiology       Date:  2003-03-05       Impact factor: 2.804

6.  Functional response of tumor vasculature to PaCO2: determination of total and microvascular blood volume by MRI.

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7.  Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma.

Authors:  Kathleen M Schmainda; Melissa Prah; Jennifer Connelly; Scott D Rand; Raymond G Hoffman; Wade Mueller; Mark G Malkin
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8.  Inclusion or exclusion of intratumoral vessels in relative cerebral blood volume characterization in low-grade gliomas: does it make a difference?

Authors:  G Brasil Caseiras; J S Thornton; T Yousry; C Benton; J Rees; A D Waldman; H R Jäger
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-03       Impact factor: 3.825

9.  Distinction between glioma progression and post-radiation change by combined physiologic MR imaging.

Authors:  Eiji Matsusue; James R Fink; Jason K Rockhill; Toshihide Ogawa; Kenneth R Maravilla
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10.  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

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