Spatial distribution of malignant tissue in gliomas: correlations of 11C-L-methionine positron emission tomography and perfusion- and diffusion-weighted magnetic resonance imaging

Background The prognosis of glioma patients is contingent on precise target selection for stereotactic biopsies and the extent of tumor resection. 11C-L-methionine (MET) positron emission tomography (PET) demonstrates tumor heterogeneity and invasion with high diagnostic accuracy. Purpose To compare the spatial tumor distribution delineated by MET PET with that by perfusion- and diffusion-weighted magnetic resonance imaging (MRI), in order to understand the diagnostic value of these MRI methods, when PET is not available. Material and Methods Presurgical MET PET and MRI, including perfusion- and diffusion-weighted MRI, were acquired in 13 patients (7 high-grade gliomas, 6 low-grade gliomas). A quantitative volume of interest analysis was performed to compare the modalities objectively, supplemented by a qualitative evaluation that assessed the clinical applicability. Results The inaccuracy of conventional MRI was confirmed (area under the curve for predicting voxels with high MET uptake = 0.657), whereas cerebral blood volume (CBV) maps calculated from perfusion data improved accuracy (area under the curve = 0.760). We considered CBV maps diagnostically comparable to MET PET in 5/7 cases of high-grade gliomas, but insufficient in all cases of low-grade gliomas when evaluated subjectively. Cerebral blood flow and apparent diffusion coefficient maps did not contribute to further accuracy. Conclusion Adding perfusion-weighted MRI to the presurgical protocol can increase the diagnostic accuracy of conventional MRI and is a simple and well-established method compared to MET PET. However, the definition of low-grade gliomas with subtle or no alterations on cerebral blood volume maps remains a diagnostic challenge for stand-alone MRI.

[1]  Kim Mouridsen,et al.  Reliable Estimation of Capillary Transit Time Distributions Using DSC-MRI , 2014, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[2]  E. Larsson,et al.  Perfusion and diffusion MRI combined with 11C-methionine PET in the preoperative evaluation of suspected adult low-grade gliomas , 2013, Journal of Neuro-Oncology.

[3]  S. Crozier,et al.  Correlation of MRI-Derived Apparent Diffusion Coefficients in Newly Diagnosed Gliomas with [18F]-Fluoro-L-Dopa PET: What Are We Really Measuring with Minimum ADC? , 2013, American Journal of Neuroradiology.

[4]  Jan Sijbers,et al.  Gliomas: diffusion kurtosis MR imaging in grading. , 2012, Radiology.

[5]  A. Lagares,et al.  The Added Value of Apparent Diffusion Coefficient to Cerebral Blood Volume in the Preoperative Grading of Diffuse Gliomas , 2012, American Journal of Neuroradiology.

[6]  J. Debbins,et al.  Correlations between Perfusion MR Imaging Cerebral Blood Volume, Microvessel Quantification, and Clinical Outcome Using Stereotactic Analysis in Recurrent High-Grade Glioma , 2012, American Journal of Neuroradiology.

[7]  Soonmee Cha,et al.  Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma , 2009, Journal of Neuro-Oncology.

[8]  M Kirkpatrick,et al.  Cerebral Blood Volume Measurements by Perfusion-Weighted MR Imaging in Gliomas: Ready for Prime Time in Predicting Short-Term Outcome and Recurrent Disease? , 2009, American Journal of Neuroradiology.

[9]  K. Schmainda,et al.  Comparison of dynamic susceptibility-weighted contrast-enhanced MR methods: recommendations for measuring relative cerebral blood volume in brain tumors. , 2008, Radiology.

[10]  A. Bjørnerud,et al.  Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps. , 2008, Radiology.

[11]  S. Goldman,et al.  Results of positron emission tomography guidance and reassessment of the utility of and indications for stereotactic biopsy in children with infiltrative brainstem tumors. , 2007, Journal of neurosurgery.

[12]  Wei Chen Clinical Applications of PET in Brain Tumors* , 2007, Journal of Nuclear Medicine.

[13]  M. Chopp,et al.  Treatment of traumatic brain injury in rats with erythropoietin and carbamylated erythropoietin. , 2007, Journal of neurosurgery.

[14]  G. Reifenberger,et al.  Prognostic Value of O-(2-18F-Fluoroethyl)-l-Tyrosine PET and MRI in Low-Grade Glioma , 2007, Journal of Nuclear Medicine.

[15]  M. D. Jenkinson,et al.  Advanced MRI in the management of adult gliomas , 2007, British journal of neurosurgery.

[16]  Isabelle Salmon,et al.  Correlation between dynamic susceptibility contrast perfusion MRI and methionine metabolism in brain gliomas: Preliminary results , 2006, Journal of magnetic resonance imaging : JMRI.

[17]  Karl J. Friston,et al.  Bayesian estimation of cerebral perfusion using a physiological model of microvasculature , 2006, NeuroImage.

[18]  Olivier Dewitte,et al.  Integrated positron emission tomography and magnetic resonance imaging-guided resection of brain tumors: a report of 103 consecutive procedures. , 2006, Journal of neurosurgery.

[19]  W. Koch,et al.  Positron Emission Tomography with O-(2-[18F]fluoroethyl)-l-tyrosine versus Magnetic Resonance Imaging in the Diagnosis of Recurrent Gliomas , 2005, Neurosurgery.

[20]  Kaoru Kurisu,et al.  Apparent diffusion coefficient of human brain tumors at MR imaging. , 2005, Radiology.

[21]  Karl-Josef Langen,et al.  O-(2-[18F]fluoroethyl)-L-tyrosine PET combined with MRI improves the diagnostic assessment of cerebral gliomas. , 2005, Brain : a journal of neurology.

[22]  Karl Herholz,et al.  Delineation of Brain Tumor Extent with [11C]l-Methionine Positron Emission Tomography , 2004, Clinical Cancer Research.

[23]  Michael H Lev,et al.  Dynamic magnetic resonance perfusion imaging of brain tumors. , 2004, The oncologist.

[24]  Michael H Lev,et al.  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]. , 2004, AJNR. American journal of neuroradiology.

[25]  S. Goldman,et al.  Combined Positron Emission Tomography and Magnetic Resonance Imaging for the Planning of Stereotactic Brain Biopsies in Children: Experience in 9 Cases , 2003, Pediatric Neurosurgery.

[26]  Glyn Johnson,et al.  Relative cerebral blood volume measurements in intracranial mass lesions: interobserver and intraobserver reproducibility study. , 2002, Radiology.

[27]  A. Thiel,et al.  11C-methionine PET for differential diagnosis of low-grade gliomas , 1998, Neurology.

[28]  R. Blasberg,et al.  “Facilitated” Amino Acid Transport is Upregulated in Brain Tumors , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[29]  B. Rosen,et al.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results , 1996, Magnetic resonance in medicine.

[30]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .

[31]  E F Halpern,et al.  Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. , 1994, Radiology.

[32]  L. R. Dice Measures of the Amount of Ecologic Association Between Species , 1945 .