Diffusion tensor histogram analysis of pediatric diffuse intrinsic pontine glioma.

PURPOSE: To evaluate tumor structure in children with diffuse intrinsic pontine glioma (DIPG) using histogram analyses of mean diffusivity (MD), determine potential treatment and corticosteroid-related effects on MD, and monitor changes in MD distributions over time. MATERIALS AND METHODS: DTI was performed on a 1.5T GE scanner. Regions of interest included the entire FLAIR-defined tumor. MD data were used to calculate histograms. Patterns in MD distributions were evaluated and fitted using a two-normal mixture model. Treatment-related effects were evaluated using the R (2) statistic for linear mixed models and Cox proportional hazards models. RESULTS: 12 patients with DIPG underwent one or more DTI exams. MD histogram distributions varied among patients. Over time, histogram peaks became shorter and broader (P = 0.0443). Two-normal mixture fitting revealed large lower curve proportions that were not associated with treatment response or outcome. Corticosteroid use affected MD histograms and was strongly associated with larger, sharper peaks (R(2) = 0.51, P = 0.0028). CONCLUSIONS: MD histograms of pediatric DIPG show significant interpatient and intratumoral differences and quantifiable changes in tumor structure over time. Corticosteroids greatly affected MD and must be considered a confounding factor when interpreting MD results in the context of treatment response.

Measurements of the pons as a biomarker of progression for pediatric DIPG.

Treatment of pediatric diffuse intrinsic pontine glioma (DIPG) remains challenging, and reliable biomarkers of response are lacking. Radiographic response is a primary endpoint in many investigational studies of brain tumors, but there is no standard method of tumor measurement for DIPG, significant inter-observer variability exists given the invasive nature of these tumors, and tumor measurements are not predictive of outcome. Because DIPGs involve a significant portion of the pons, we evaluated the reliability and prognostic value of one-dimensional (1D) and two-dimensional (2D) pons measurements using anatomical landmarks rather than tumor boundaries. Patients with DIPG (n = 75) were evaluated longitudinally at our institution using MRI. Four readers independently performed 1D and 2D measurements of the pons using FLAIR images. Agreement and inter-reader variability were evaluated using differences among the six reader pairs and the coefficient of variation (CV). Prognostic value of pons measurements was calculated using Cox proportional hazards models, where relative hazard (RH) represents risk of death. Readers evaluated 384 exams. Agreement of readers' 1D and 2D measurements was strong (median difference between reader pairs 3.1 and 5.4%, respectively), with low inter-reader variability (median CV = 3.1% and median CV = 4.8%, respectively). Increases in 1D and 2D pons measurements over time indicated poorer prognosis (RH = 2.29, p = 0.0025 and RH = 1.13, p = 0.0016, respectively), with shorter overall survival. Pons measurements had low inter-reader variability compared to previously reported tumor measurement techniques and correlated with outcome in children with DIPG. Measurements of the pons (as opposed to direct measurements of tumor) are a viable in vivo biomarker for DIPG.

Molecular imaging of pediatric brain tumors: comparison of tumor metabolism using ¹8F-FDG-PET and MRSI.

Magnetic resonance spectroscopic imaging (MRSI) and (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) are non-invasive imaging techniques routinely used to evaluate tumor malignancy in adults with brain tumors. We compared the metabolic activity of pediatric brain tumors using FDG-PET and MRSI. Children (n = 37) diagnosed with a primary brain tumor underwent FDG-PET and MRSI within two weeks of each other. Tumor metabolism was classified as inactive, active or highly active using the maximum choline:N-acetyl-asparate (Cho:NAA) on MRSI and the highest tumor uptake on FDG-PET. A voxel-wise comparison was used to evaluate the area with the greatest abnormal metabolism. Agreement between methods was assessed using the percent agreement and the kappa statistic (κ). Pediatric brain tumors were metabolically heterogeneous on FDG-PET and MRSI studies. Active tumor metabolism was observed more frequently using MRSI compared to FDG-PET, and agreement in tumor classification was weak (κ = 0.16, p = 0.12), with 42 % agreement (95 % CI = 25-61 %). Voxel-wise comparison for identifying the area of greatest metabolic activity showed overlap in the majority (62 %) of studies, though exact agreement between techniques was low (29.4 %, 95 % CI = 15.1-47.5 %). These results indicate that FDG-PET and MRSI detect similar but not always identical regions of tumor activity, and there is little agreement in the degree of tumor metabolic activity between the two techniques.

Single- and multivoxel proton spectroscopy in pediatric patients with diffuse intrinsic pontine glioma.

PURPOSE: To determine the feasibility of two magnetic resonance spectroscopy (MRS) techniques for treating pediatric patients with diffuse intrinsic pontine gliomas (DIPGs) and to evaluate the relationship of metabolic profiles determined by each technique. Utility of each technique for improving patient management is also discussed. METHODS AND MATERIALS: Children with DIPG (n = 36) were evaluated using single-voxel spectroscopy (SVS) and magnetic resonance spectroscopic imaging (MRSI) during the same imaging session. Patients were followed longitudinally (n = 150 total studies). Technical feasibility was defined by sufficient water and lipid suppression for detection of metabolites. Correlation of metabolic data obtained by SVS and MRSI was determined using the Spearman rank method. Metabolite ratios, including choline:N-acetyl-aspartate (Cho:NAA) and Cho:creatine (Cho:Cr), were obtained from SVS and MRSI. RESULTS: SVS and MRSI acquisitions were feasible in >90% of studies. Maximum Cho:NAA and Cho:Cr from MRSI analysis were strongly associated with Cho:NAA and Cho:Cr obtained by SVS (r = 0.67 and 0.76, respectively). MRSI Cho:NAA values were more heterogeneous than Cho:Cr values within the same lesion, and a strong linear relationship between the range and maximum Cho:NAA values was observed. CONCLUSIONS: SVS and MRSI acquisitions were feasible, with a strong correlation in metabolic data. Both techniques may improve diagnostic evaluation and management of DIPG. SVS is recommended for global assessment of tumor metabolism before and after therapy. MRSI showed heterogeneous patterns of metabolic activity within these tumors and is recommended for planning and monitoring targeted therapies and evaluating nearby tissue for tumor invasion.