Literature DB >> 24199813

Advanced MR imaging techniques in the evaluation of nonenhancing gliomas: perfusion-weighted imaging compared with proton magnetic resonance spectroscopy and tumor grade.

Neslin Sahin1, Elias R Melhem, Sumei Wang, Jaroslaw Krejza, Harish Poptani, Sanjeev Chawla, Gaurav Verma.   

Abstract

A significant number of nonenhancing (NE) gliomas are reported to be malignant. The purpose of this study was to compare the value of advanced MR imaging techniques, including T2*-dynamic susceptibility contrast PWI (DSC-PWI) and proton magnetic resonance spectroscopy ((1)HMRS) in the evaluation of NE gliomas. Twenty patients with NE gliomas underwent MRI including DSC-PWI and (1)HMRS. The relative CBV (rCBV) measurements were obtained from regions of maximum perfusion. The peak ratios of choline/creatine (Cho/Cr) and myo-inositol/creatine (mIns/Cr) were measured at a TE of 30 ms. Demographic features, tumor volumes, and PWI- and (1)HMRS-derived measures were compared between low-grade gliomas (LGGs) and high-grade gliomas (HGGs). In addition, the association of initial rCBV ratio with tumor progression was evaluated in LGGs. No significant difference was noted in age, sex or tumor size between LGGs and HGGs. Cho/Cr ratios were significantly higher in HGGs (1.7±0.63) than in LGGs (1.2±0.38). The receiver operating characteristic analysis demonstrated that a Cho/Cr ratio with a cutoff value of 1.3 could differentiate between LGG and HGG with a specificity of 100% and a sensitivity of 71.4%. There was no significant difference in the rCBV ratio and the mIns/Cr ratio between LGG and HGG. However, higher rCBV ratios were observed with more rapid progressions in LGGs. The results imply that Cho/Cr ratios are useful in distinguishing NE LGG from HGG and can be helpful in preoperative grading and biopsy guidance. On the other hand, rCBV ratios do not help in the distinction.

Entities:  

Keywords:  MR spectroscopy; nonenhancing glioma; perfusion MRI

Mesh:

Year:  2013        PMID: 24199813      PMCID: PMC4202829          DOI: 10.1177/197140091302600506

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  24 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.  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.  Perfusion magnetic resonance imaging predicts patient outcome as an adjunct to histopathology: a second reference standard in the surgical and nonsurgical treatment of low-grade gliomas.

Authors:  Meng Law; Sarah Oh; Glyn Johnson; James S Babb; David Zagzag; John Golfinos; Patrick J Kelly
Journal:  Neurosurgery       Date:  2006-06       Impact factor: 4.654

4.  MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.

Authors:  Xiang Liu; Wei Tian; Balasubramanya Kolar; Gabrielle A Yeaney; Xing Qiu; Mahlon D Johnson; Sven Ekholm
Journal:  Neuro Oncol       Date:  2011-02-04       Impact factor: 12.300

Review 5.  Advanced MR imaging techniques in the diagnosis of intraaxial brain tumors in adults.

Authors:  Riyadh N Al-Okaili; Jaroslaw Krejza; Sumei Wang; John H Woo; Elias R Melhem
Journal:  Radiographics       Date:  2006-10       Impact factor: 5.333

6.  1H NMR detection of cerebral myo-inositol.

Authors:  S Cerdàn; R Parrilla; J Santoro; M Rico
Journal:  FEBS Lett       Date:  1985-07-22       Impact factor: 4.124

7.  The contribution of magnetic resonance spectroscopy and echoplanar perfusion-weighted MRI in the initial assessment of brain tumours.

Authors:  Nicolás Fayed; Pedro J Modrego
Journal:  J Neurooncol       Date:  2005-05       Impact factor: 4.130

8.  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

9.  Low-grade gliomas: do changes in rCBV measurements at longitudinal perfusion-weighted MR imaging predict malignant transformation?

Authors:  Nasuda Danchaivijitr; Adam D Waldman; Daniel J Tozer; Christopher E Benton; Gisele Brasil Caseiras; Paul S Tofts; Jeremy H Rees; H Rolf Jäger
Journal:  Radiology       Date:  2008-04       Impact factor: 11.105

10.  Role of proton magnetic resonance spectroscopy in differentiating oligodendrogliomas from astrocytomas.

Authors:  Sanjeev Chawla; Laura Oleaga; Sumei Wang; Jaroslaw Krejza; Ronald L Wolf; John H Woo; Donald M O'Rourke; Kevin D Judy; Michael S Grady; Elias R Melhem; Harish Poptani
Journal:  J Neuroimaging       Date:  2010-01       Impact factor: 2.486

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  19 in total

Review 1.  'Low grade glioma': an update for radiologists.

Authors:  Jennifer Larsen; Steve B Wharton; Fiona McKevitt; Charles Romanowski; Caroline Bridgewater; Hesham Zaki; Nigel Hoggard
Journal:  Br J Radiol       Date:  2016-12-07       Impact factor: 3.039

Review 2.  The diagnostic performance of magnetic resonance spectroscopy in differentiating high-from low-grade gliomas: A systematic review and meta-analysis.

Authors:  Qun Wang; Hui Zhang; JiaShu Zhang; Chen Wu; WeiJie Zhu; FangYe Li; XiaoLei Chen; BaiNan Xu
Journal:  Eur Radiol       Date:  2015-10-15       Impact factor: 5.315

3.  Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging.

Authors:  Yashar Moharamzad; Morteza Sanei Taheri; Farhad Niaghi; Elham Shobeiri
Journal:  Neuroradiol J       Date:  2017-11-17

4.  Advanced MRI may complement histological diagnosis of lower grade gliomas and help in predicting survival.

Authors:  Valeria Cuccarini; A Erbetta; M Farinotti; L Cuppini; F Ghielmetti; B Pollo; F Di Meco; M Grisoli; G Filippini; G Finocchiaro; M G Bruzzone; M Eoli
Journal:  J Neurooncol       Date:  2016-01       Impact factor: 4.130

5.  Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.

Authors:  G Ranjith; R Parvathy; V Vikas; Kesavadas Chandrasekharan; Suresh Nair
Journal:  Neuroradiol J       Date:  2015-04-28

6.  Usefulness of quantitative peritumoural perfusion and proton spectroscopic magnetic resonance imaging evaluation in differentiating brain gliomas from solitary brain metastases.

Authors:  Gianvincenzo Sparacia; Judith A Gadde; Alberto Iaia; Benedetta Sparacia; Massimo Midiri
Journal:  Neuroradiol J       Date:  2016-03-17

7.  Glioma grading by dynamic susceptibility contrast perfusion and 11C-methionine positron emission tomography using different regions of interest.

Authors:  Cornelia Brendle; Johann-Martin Hempel; Jens Schittenhelm; Marco Skardelly; Gerald Reischl; Benjamin Bender; Ulrike Ernemann; Christian la Fougère; Uwe Klose
Journal:  Neuroradiology       Date:  2018-02-20       Impact factor: 2.804

Review 8.  Therapeutic decision making in patients with newly diagnosed low grade glioma.

Authors:  Adesh Tandon; David Schiff
Journal:  Curr Treat Options Oncol       Date:  2014-12

Review 9.  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

10.  Multivariable non-invasive association of isocitrate dehydrogenase mutational status in World Health Organization grade II and III gliomas with advanced magnetic resonance imaging T2 mapping techniques.

Authors:  Maike Kern; Timo A Auer; Uli Fehrenbach; Yasemin Tanyildizi; Thomas Picht; Martin Misch; Edzard Wiener
Journal:  Neuroradiol J       Date:  2020-01-19
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