Literature DB >> 19263367

Dynamic contrast-enhanced susceptibility-weighted perfusion imaging of intracranial tumors: a study using a 3T MR scanner.

Senem Sentürk1, Kader Karli Oğuz, Ayşenur Cila.   

Abstract

PURPOSE: To determine whether there are statistically significant differences in cerebral blood volume (CBV) and cerebral blood flow (CBF) of brain tumors of different histopathologic types including primary and secondary benign and malignant lesions. To determine whether these measurements relate to tumor grade.
MATERIALS AND METHODS: Forty-five patients with brain tumors, age 2 to 79 years, underwent dynamic contrast-enhanced susceptibility- weighted echo-planar perfusion magnetic resonance imaging (MRI) using a 3T MR scanner. The lesions were evaluated by measurements of relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF). The Mann-Whitney U test was used to compare rCBV and rCBF measurements of tumor groups -- 13 low-grade and 13 high-grade neuroepithelial (NE) tumors, five metastases, 10 meningiomas, and four others. Peritumoral rCBV and rCBF measurements of high grade NE tumors and metastases were also compared. The relationship between rCBV and rCBF measurements was evaluated by Spearman rank correlation.
RESULTS: Measurements of rCBV and rCBF were statistically significantly higher (P < 0.05) in high-grade NE tumors than in low-grade NE tumors. The difference was not statistically significant in comparing high-grade NE tumors with metastases and meningiomas. Peritumoral rCBV of high-grade NE tumors was significantly higher than peritumoral rCBV of metastases (P < 0.05). There was a strong correlation between rCBV and rCBF values.
CONCLUSION: CBV and CBF measurements provided by 3T perfusion MRI can help to predict NE tumor grading preoperatively, and differentiate between primary brain tumors and metastases.

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Year:  2009        PMID: 19263367

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  15 in total

1.  Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.

Authors:  Andrés Server; Tone E Døli Orheim; Bjørn A Graff; Roger Josefsen; Theresa Kumar; Per H Nakstad
Journal:  Neuroradiology       Date:  2010-07-13       Impact factor: 2.804

2.  The effect of 3 T MRI on microleakage of amalgam restorations.

Authors:  S Yilmaz; M Misirlioglu
Journal:  Dentomaxillofac Radiol       Date:  2013-05-14       Impact factor: 2.419

Review 3.  Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques.

Authors:  Evangelia Tsolaki; Evanthia Kousi; Patricia Svolos; Efthychia Kapsalaki; Kyriaki Theodorou; Constastine Kappas; Ioannis Tsougos
Journal:  World J Radiol       Date:  2014-04-28

Review 4.  Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.

Authors:  Jill M Abrigo; Daniel M Fountain; James M Provenzale; Eric K Law; Joey Sw Kwong; Michael G Hart; Wilson Wai San Tam
Journal:  Cochrane Database Syst Rev       Date:  2018-01-22

5.  Relative percentage signal intensity recovery of perfusion metrics—an efficient tool for differentiating grades of glioma.

Authors:  K A Smitha; A K Gupta; R S Jayasree
Journal:  Br J Radiol       Date:  2015-05-27       Impact factor: 3.039

6.  Relative cerebral blood volume from dynamic susceptibility contrast perfusion in the grading of pediatric primary brain tumors.

Authors:  Chang Y Ho; Jeremy S Cardinal; Aaron P Kamer; Stephen F Kralik
Journal:  Neuroradiology       Date:  2014-12-13       Impact factor: 2.804

7.  Perfusion MRI of brain tumours: a comparative study of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast imaging.

Authors:  Hanna Järnum; Elena G Steffensen; Linda Knutsson; Ernst-Torben Fründ; Carsten Wiberg Simonsen; Søren Lundbye-Christensen; Ajit Shankaranarayanan; David C Alsop; Finn Taagehøj Jensen; Elna-Marie Larsson
Journal:  Neuroradiology       Date:  2009-10-20       Impact factor: 2.804

Review 8.  Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis.

Authors:  Chong Hyun Suh; Ho Sung Kim; Seung Chai Jung; Choong Gon Choi; Sang Joon Kim
Journal:  Eur Radiol       Date:  2018-04-04       Impact factor: 5.315

Review 9.  Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.

Authors:  Jurgita Usinskiene; Agne Ulyte; Atle Bjørnerud; Jonas Venius; Vasileios K Katsaros; Ryte Rynkeviciene; Simona Letautiene; Darius Norkus; Kestutis Suziedelis; Saulius Rocka; Andrius Usinskas; Eduardas Aleknavicius
Journal:  Neuroradiology       Date:  2016-01-15       Impact factor: 2.804

Review 10.  The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectives.

Authors:  Patricia Svolos; Evanthia Kousi; Eftychia Kapsalaki; Kyriaki Theodorou; Ioannis Fezoulidis; Constantin Kappas; Ioannis Tsougos
Journal:  Cancer Imaging       Date:  2014-04-29       Impact factor: 3.909

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