Literature DB >> 18388221

Inclusion or exclusion of intratumoral vessels in relative cerebral blood volume characterization in low-grade gliomas: does it make a difference?

G Brasil Caseiras1, J S Thornton, T Yousry, C Benton, J Rees, A D Waldman, H R Jäger.   

Abstract

We assessed the influence of inclusion (method 1) and exclusion (method 2) of intratumoral vessels when determining maximum relative cerebral blood volume (rCBVmax) in 3 types of low-grade gliomas (LGGs): astrocytomas, oligoastrocytomas, and oligodendrogliomas. Method 1 yielded significantly higher mean rCBVmax than method 2. However, only method 2 demonstrated a significant (P = .026) association between rCBVmax and membership of a differently ranked histologic category. Exclusion of intratumoral vessels appears, therefore, preferable when determining rCBVmax in LGGs.

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Year:  2008        PMID： 18388221      PMCID： PMC8118810          DOI： 10.3174/ajnr.A0993

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


  10 in total

1.  Relative cerebral blood volume measurements in intracranial mass lesions: interobserver and intraobserver reproducibility study.

Authors:  Stephan G Wetzel; Soonmee Cha; Glyn Johnson; Peter Lee; Meng Law; David L Kasow; Sean D Pierce; Xiaonan Xue
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

2.  Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging--prediction of patient clinical response.

Authors:  Meng Law; Sarah Oh; James S Babb; Edwin Wang; Matilde Inglese; David Zagzag; Edmond A Knopp; Glyn Johnson
Journal:  Radiology       Date:  2006-01-05       Impact factor: 11.105

3.  Cerebral blood volume measurements and proton MR spectroscopy in grading of oligodendroglial tumors.

Authors:  M Vittoria Spampinato; J Keith Smith; Lester Kwock; Matthew Ewend; John D Grimme; Daniel L A Camacho; Mauricio Castillo
Journal:  AJR Am J Roentgenol       Date:  2007-01       Impact factor: 3.959

4.  High-grade and low-grade gliomas: differentiation by using perfusion MR imaging.

Authors:  B Hakyemez; C Erdogan; I Ercan; N Ergin; S Uysal; S Atahan
Journal:  Clin Radiol       Date:  2005-04       Impact factor: 2.350

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

Authors:  T Sugahara; Y Korogi; M Kochi; Y Ushio; M Takahashi
Journal:  AJNR Am J Neuroradiol       Date:  2001-08       Impact factor: 3.825

6.  Differentiation of low-grade oligodendrogliomas from low-grade astrocytomas by using quantitative blood-volume measurements derived from dynamic susceptibility contrast-enhanced MR imaging.

Authors:  Soonmee Cha; Tarik Tihan; Forrest Crawford; Nancy J Fischbein; Susan Chang; Andrew Bollen; Sarah J Nelson; Michael Prados; Mitchel S Berger; William P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2005-02       Impact factor: 3.825

7.  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

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.  Cerebral gliomas: prospective comparison of multivoxel 2D chemical-shift imaging proton MR spectroscopy, echoplanar perfusion and diffusion-weighted MRI.

Authors:  D Yang; Y Korogi; T Sugahara; M Kitajima; Y Shigematsu; L Liang; Y Ushio; M Takahashi
Journal:  Neuroradiology       Date:  2002-06-29       Impact factor: 2.804

10.  Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.

Authors:  Meng Law; Stanley Yang; Hao Wang; James S Babb; Glyn Johnson; Soonmee Cha; Edmond A Knopp; David Zagzag
Journal:  AJNR Am J Neuroradiol       Date:  2003 Nov-Dec       Impact factor: 3.825
  10 in total
  7 in total

1.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

2.  Signal intensity in T2' magnetic resonance imaging is related to brain glioma grade.

Authors:  Laura Saitta; Oliver Heese; Ann-Freya Förster; Jakob Matschke; Susanne Siemonsen; Lucio Castellan; Manfred Westphal; Jens Fiehler; Einar Goebell
Journal:  Eur Radiol       Date:  2010-11-11       Impact factor: 5.315

3.  Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma.

Authors:  Valentina Kouwenberg; Lusien van Santwijk; Frederick J A Meijer; Dylan Henssen
Journal:  Cancer Imaging       Date:  2022-06-17       Impact factor: 5.605

4.  Semi-automated and automated glioma grading using dynamic susceptibility-weighted contrast-enhanced perfusion MRI relative cerebral blood volume measurements.

Authors:  S N Friedman; P J Bambrough; C Kotsarini; N Khandanpour; N Hoggard
Journal:  Br J Radiol       Date:  2012-12       Impact factor: 3.039

5.  Correlation of MR relative cerebral blood volume measurements with cellular density and proliferation in high-grade gliomas: an image-guided biopsy study.

Authors:  S J Price; H A L Green; A F Dean; J Joseph; P J Hutchinson; J H Gillard
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-16       Impact factor: 3.825

6.  Perfusion and diffusion MRI combined with ¹¹C-methionine PET in the preoperative evaluation of suspected adult low-grade gliomas.

Authors:  Shala Ghaderi Berntsson; Anna Falk; Irina Savitcheva; Andrea Godau; Maria Zetterling; Göran Hesselager; Irina Alafuzoff; Elna-Marie Larsson; Anja Smits
Journal:  J Neurooncol       Date:  2013-06-16       Impact factor: 4.130

7.  Physiological MRI Biomarkers in the Differentiation Between Glioblastomas and Solitary Brain Metastases.

Authors:  Elisabeth Heynold; Max Zimmermann; Nirjhar Hore; Michael Buchfelder; Arnd Doerfler; Andreas Stadlbauer; Natalia Kremenevski
Journal:  Mol Imaging Biol       Date:  2021-04-23       Impact factor: 3.488
  7 in total

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