Literature DB >> 15956514

Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity.

Janine M Lupo1, Soonmee Cha, Susan M Chang, Sarah J Nelson.   

Abstract

BACKGROUND AND
PURPOSE: The advent of new anti-angiogenic therapies has created the need for better defining regions of abnormal vascularity in order to add specificity to the classification of high-grade gliomas. This study investigated MR imaging parameters corresponding to the peak height and percent recovery of the T2* relaxivity curve to characterize angiogenesis and microvascular leakage within the T2 and contrast-enhancing abnormalities in high-grade gliomas.
METHODS: Dynamic susceptibility-weighted MR imaging was performed in 41 patients with untreated high-grade glioma during the first pass and recirculation phase of a gadolinium bolus injection. Normalized peak height and percent recovery of the post-bolus signal were calculated on a voxel by voxel basis within the T2 and contrast-enhancing lesions (T2L, CEL) and compared between grade III and grade IV gliomas.
RESULTS: Grade IV gliomas showed significantly larger volumes of abnormal peak height and recovery compared to grade III patients (P < .01). Within the CEL, grade IV gliomas exhibited significantly higher peak height values than grade III patients (P < .05). Enhancing grade III patients (n = 7) demonstrated higher minimum values of percent recovery within both regions compared to grade IV patients. Non-enhancing grade III gliomas (n = 11) had significantly elevated minimum percent recovery values when compared to the T2L-CEL region in grade IV patients (n = 23; P < .05).
CONCLUSION: Direct measurement of the spatial distribution of tumor microvasculature characteristics has shown considerable heterogeneity within different regions of grade III and grade IV gliomas. Peak height and percent recovery parameters help to improve the specificity for characterization of the degree of angiogenesis and microvascular leakage in these tumors and may be useful in evaluating response to treatment.

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Year:  2005        PMID: 15956514      PMCID: PMC8149056     

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


  43 in total

1.  Abnormalities of the contrast re-circulation phase in cerebral tumors demonstrated using dynamic susceptibility contrast-enhanced imaging: a possible marker of vascular tortuosity.

Authors:  A Kassner; D J Annesley; X P Zhu; K L Li; I D Kamaly-Asl; Y Watson; A Jackson
Journal:  J Magn Reson Imaging       Date:  2000-02       Impact factor: 4.813

2.  Simultaneous quantitative cerebral perfusion and Gd-DTPA extravasation measurement with dual-echo dynamic susceptibility contrast MRI.

Authors:  E P Vonken; M J van Osch; C J Bakker; M A Viergever
Journal:  Magn Reson Med       Date:  2000-06       Impact factor: 4.668

3.  Nonrigid registration using free-form deformations: application to breast MR images.

Authors:  D Rueckert; L I Sonoda; C Hayes; D L Hill; M O Leach; D J Hawkes
Journal:  IEEE Trans Med Imaging       Date:  1999-08       Impact factor: 10.048

4.  High-grade gliomas and solitary metastases: differentiation by using perfusion and proton spectroscopic MR imaging.

Authors:  Meng Law; Soonmee Cha; Edmond A Knopp; Glyn Johnson; John Arnett; Andrew W Litt
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

5.  Dynamic, contrast-enhanced perfusion MRI in mouse gliomas: correlation with histopathology.

Authors:  Soonmee Cha; Glyn Johnson; Youssef Zaim Wadghiri; Olivier Jin; Jim Babb; David Zagzag; Daniel H Turnbull
Journal:  Magn Reson Med       Date:  2003-05       Impact factor: 4.668

6.  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

7.  Reproducibility of quantitative dynamic contrast-enhanced MRI in newly presenting glioma.

Authors:  A Jackson; G C Jayson; K L Li; X P Zhu; D R Checkley; J J L Tessier; J C Waterton
Journal:  Br J Radiol       Date:  2003-03       Impact factor: 3.039

Review 8.  The role of angiogenesis in tumor growth.

Authors:  J Folkman
Journal:  Semin Cancer Biol       Date:  1992-04       Impact factor: 15.707

9.  Localized in vivo 1H magnetic resonance spectroscopy and in vitro analyses of heterogeneous brain tumors.

Authors:  L Chang; D McBride; B L Miller; M Cornford; R A Booth; S D Buchthal; T M Ernst; D Jenden
Journal:  J Neuroimaging       Date:  1995-07       Impact factor: 2.486

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

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  66 in total

1.  Value of perfusion weighted magnetic resonance imaging in the diagnosis of supratentorial anaplastic astrocytoma.

Authors:  Kyung Mi Lee; Eui Jong Kim; Geon-Ho Jahng; Bong Jin Park
Journal:  J Korean Neurosurg Soc       Date:  2014-09-30

2.  Percentage signal recovery derived from MR dynamic susceptibility contrast imaging is useful to differentiate common enhancing malignant lesions of the brain.

Authors:  R Mangla; B Kolar; T Zhu; J Zhong; J Almast; S Ekholm
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-21       Impact factor: 3.825

3.  Differentiation of primary central nervous system lymphomas from high-grade gliomas by rCBV and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  Z Xing; R X You; J Li; Y Liu; D R Cao
Journal:  Clin Neuroradiol       Date:  2013-08-31       Impact factor: 3.649

4.  Assessment of perfusion MRI-derived parameters in evaluating and predicting response to antiangiogenic therapy in patients with newly diagnosed glioblastoma.

Authors:  Emma Essock-Burns; Janine M Lupo; Soonmee Cha; Mei-Yin Polley; Nicholas A Butowski; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2010-10-29       Impact factor: 12.300

Review 5.  Update on brain tumor imaging: from anatomy to physiology.

Authors:  S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2006-03       Impact factor: 3.825

6.  High- and low-grade glioma differentiation: the role of percentage signal recovery evaluation in MR dynamic susceptibility contrast imaging.

Authors:  Italo Aprile; Giorgia Giovannelli; Paola Fiaschini; Marco Muti; Anna Kouleridou; Nevia Caputo
Journal:  Radiol Med       Date:  2015-03-12       Impact factor: 3.469

7.  Differentiation of hemangioblastomas from pilocytic astrocytomas using 3-T magnetic resonance perfusion-weighted imaging and MR spectroscopy.

Authors:  D J She; Z Xing; Z Zeng; X Y Shang; D R Cao
Journal:  Neuroradiology       Date:  2014-12-07       Impact factor: 2.804

8.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

9.  Multi-center prediction of hemorrhagic transformation in acute ischemic stroke using permeability imaging features.

Authors:  Fabien Scalzo; Jeffry R Alger; Xiao Hu; Jeffrey L Saver; Krishna A Dani; Keith W Muir; Andrew M Demchuk; Shelagh B Coutts; Marie Luby; Steven Warach; David S Liebeskind
Journal:  Magn Reson Imaging       Date:  2013-04-13       Impact factor: 2.546

10.  Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade.

Authors:  R Jain; S K Ellika; L Scarpace; L R Schultz; J P Rock; J Gutierrez; S C Patel; J Ewing; T Mikkelsen
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-17       Impact factor: 3.825

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