Literature DB >> 27284331

Differentiation between recurrent gliomas and radiation necrosis using arterial spin labeling perfusion imaging.

Jing Ye1, Santosh Kumar Bhagat1, Hongmei Li1, Xianfu Luo1, Buhai Wang2, Liqin Liu2, Guomei Yang1.   

Abstract

Arterial spin labeling (ASL) magnetic resonance (MR) perfusion imaging has been proposed as an effective method to measure brain tumor perfusion. The aim of the present study was to evaluate the utility of this technique in the differentiation of recurrent gliomas from radiation necrosis. Twenty-one patients with surgically treated primary gliomas, including 16 cases of recurrent glioma and 5 of radiation necrosis were examined using 3.0T MR imaging (MRI). ASL and dynamic susceptibility contrast-weighted (DSC) perfusion MRI scans were performed. Maps of normalized cerebral blood flow (CBF) in ASL imaging and cerebral blood volume (CBV) in DSC imaging were computed and analyzed in the regions of interest. In cases of glioma recurrence, the normalized ASL-CBF ratio (4.45±2.72) was higher than that in cases of radiation injury (1.22±0.61) (P<0.01). The normalized DSC-relative CBV ratio was also significantly higher in glioma recurrence (3.38±2.08) than it was in radiation injury (1.09±0.55) (P<0.05). A close linear correlation was found between the ASL and DSC MRI techniques (linear regression coefficient, R=0.85; P=0.005) in the differentiation of recurrent glioma from radiation injury. The results indicate that ASL perfusion is an accurate method of distinguishing between glioma recurrence and radiation necrosis.

Entities:  

Keywords:  glioma; magnetic resonance imaging; radiation injuries; recurrence

Year:  2016        PMID: 27284331      PMCID: PMC4887822          DOI: 10.3892/etm.2016.3225

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


  27 in total

Review 1.  Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging.

Authors:  Soonmee Cha; Edmond A Knopp; Glyn Johnson; Stephan G Wetzel; Andrew W Litt; David Zagzag
Journal:  Radiology       Date:  2002-04       Impact factor: 11.105

2.  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

3.  Radiation necrosis versus glioma recurrence: conventional MR imaging clues to diagnosis.

Authors:  Mark E Mullins; Glenn D Barest; Pamela W Schaefer; Fred H Hochberg; R Gilberto Gonzalez; Michael H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2005-09       Impact factor: 3.825

Review 4.  Arterial spin-labeled perfusion MRI in basic and clinical neuroscience.

Authors:  John A Detre; Jiongjiong Wang; Ze Wang; Hengyi Rao
Journal:  Curr Opin Neurol       Date:  2009-08       Impact factor: 5.710

5.  Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging measurements.

Authors:  L S Hu; L C Baxter; K A Smith; B G Feuerstein; J P Karis; J M Eschbacher; S W Coons; P Nakaji; R F Yeh; J Debbins; J E Heiserman
Journal:  AJNR Am J Neuroradiol       Date:  2008-12-04       Impact factor: 3.825

6.  A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.

Authors:  Atle Bjørnerud; Kyrre E Emblem
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

Review 7.  Applications of arterial spin labeled MRI in the brain.

Authors:  John A Detre; Hengyi Rao; Danny J J Wang; Yu Fen Chen; Ze Wang
Journal:  J Magn Reson Imaging       Date:  2012-01-13       Impact factor: 4.813

8.  Perfusion MRI (dynamic susceptibility contrast imaging) with different measurement approaches for the evaluation of blood flow and blood volume in human gliomas.

Authors:  H Thomsen; E Steffensen; E-M Larsson
Journal:  Acta Radiol       Date:  2011-11-23       Impact factor: 1.990

9.  Comparison of MRI, F-18 FDG, and 11C-choline PET/CT for their potentials in differentiating brain tumor recurrence from brain tumor necrosis following radiotherapy.

Authors:  Haibo Tan; Limin Chen; Yihui Guan; Xiangtong Lin
Journal:  Clin Nucl Med       Date:  2011-11       Impact factor: 7.794

10.  Radiation effects on cerebral white matter: MR evaluation.

Authors:  J S Tsuruda; K E Kortman; W G Bradley; D C Wheeler; W Van Dalsem; T P Bradley
Journal:  AJR Am J Roentgenol       Date:  1987-07       Impact factor: 3.959

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  11 in total

1.  Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa El-Serougy; Mohamed Abdelsalam; Gada Gaballa; Mona Talaat
Journal:  Neuroradiology       Date:  2017-12-07       Impact factor: 2.804

Review 2.  Arterial spin labeling for the measurement of cerebral perfusion and angiography.

Authors:  Peter Jezzard; Michael A Chappell; Thomas W Okell
Journal:  J Cereb Blood Flow Metab       Date:  2017-11-23       Impact factor: 6.200

3.  Spatial discrimination of glioblastoma and treatment effect with histologically-validated perfusion and diffusion magnetic resonance imaging metrics.

Authors:  Melissa A Prah; Mona M Al-Gizawiy; Wade M Mueller; Elizabeth J Cochran; Raymond G Hoffmann; Jennifer M Connelly; Kathleen M Schmainda
Journal:  J Neurooncol       Date:  2017-09-12       Impact factor: 4.130

Review 4.  Diagnostic Performance of PET and Perfusion-Weighted Imaging in Differentiating Tumor Recurrence or Progression from Radiation Necrosis in Posttreatment Gliomas: A Review of Literature.

Authors:  N Soni; M Ora; N Mohindra; Y Menda; G Bathla
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-27       Impact factor: 3.825

5.  Pseudo-continuous arterial spin labelling shows high diagnostic performance in the detection of postoperative residual lesion in hyper-vascularised adult brain tumours.

Authors:  Clara Cohen; Bruno Law-Ye; Didier Dormont; Delphine Leclercq; Laurent Capelle; Marc Sanson; Damien Galanaud; Nadya Pyatigorskaya
Journal:  Eur Radiol       Date:  2020-01-21       Impact factor: 5.315

6.  Perfusion of surgical cavity wall enhancement in early post-treatment MR imaging may stratify the time-to-progression in glioblastoma.

Authors:  Ji Eun Park; Kyoung Hwa Ryu; Ho Sung Kim; Hyo Won Kim; Woo Hyun Shim; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim; Jeong Hoon Kim
Journal:  PLoS One       Date:  2017-07-21       Impact factor: 3.240

7.  Pseudoprogression of brain tumors.

Authors:  Stefanie C Thust; Martin J van den Bent; Marion Smits
Journal:  J Magn Reson Imaging       Date:  2018-05-07       Impact factor: 4.813

8.  Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma.

Authors:  Nabil Elshafeey; Aikaterini Kotrotsou; Ahmed Hassan; Nancy Elshafei; Islam Hassan; Sara Ahmed; Srishti Abrol; Anand Agarwal; Kamel El Salek; Samuel Bergamaschi; Jay Acharya; Fanny E Moron; Meng Law; Gregory N Fuller; Jason T Huse; Pascal O Zinn; Rivka R Colen
Journal:  Nat Commun       Date:  2019-07-18       Impact factor: 14.919

Review 9.  Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors.

Authors:  Wynton B Overcast; Korbin M Davis; Chang Y Ho; Gary D Hutchins; Mark A Green; Brian D Graner; Michael C Veronesi
Journal:  Curr Oncol Rep       Date:  2021-02-18       Impact factor: 5.075

Review 10.  Glioma surveillance imaging: current strategies, shortcomings, challenges and outlook.

Authors:  Gehad Abdalla; Ahmed Hammam; Mustafa Anjari; Dr Felice D'Arco; Dr Sotirios Bisdas
Journal:  BJR Open       Date:  2020-06-23
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