Dynamic Contrast Enhanced (DCE) MRI is important in tumor diagnosis and management of brain tumors. Several Studies have highlighted the clinical relevance of DCE-MRI in adult tumor population, which includes actual evaluation of perfusion parameters and deciding grade of glioma based on relative measurements of these parameters. Perfusion imaging requires high dose contrast injections with rapid flow which often becomes a technical challenge in case of young and infant patients ¹. Thus very few perfusion studies were reported on pediatric population; that too mostly on Arterial Spin Labeling (ASL) and T2* weighted DSC perfusion ². This study is the first preliminary study which has used DCE MRI in a pediatric brain tumors, to identify the range of values for DCE-MRI perfusion parameters of tumor area as well as normal white matter & gray matter using fast-pass analysis ³. Our study included IRB approved retrospective analysis of 20 tumor patients (7 female and 13 male, 10 month-17year old). Ten patients were histologically confirmed with high and low grade tumors ( 6 patients with high grade and 4 patients with low grade). All patients underwent conventional MRI and DCE-MRI on 3.0T MRI scanner (Ingenia, Philips Healthcare, The Netherlands). Imaging Protocol: DCE-MRI (TR/TE=4.4/2.1ms, 10^o flip angle, 240 ×240 mm² FOV, 128×128 matrix, 12 slice with 6mm thickness, 32 dynamic with 3.9s temporality, contrast dose 0.1 mmol/kg body weight, 1.5- 2 ml/sec injection rate ; depending upon the age of the patient and the size of the intravenous line used; contrast used Gd-BOPTA ), conventional MRI (T1 weighted, post contrast T1 weighted, T2 weighted, FLAIR). Perfusion parameters (CBF, CBV) were quantified using fast-pass analysis ³. Kinetic Parameters (K^trans, K_ep, V_e, V_p and λ^tr) were estimated using Leaky-Tracer Kinetic Model ³. Statistical Analysis was performed to calculate mean values of each perfusion parameter of High and Low grade tumors. Independent samples t-test was performed to check if there is any significant difference in perfusion parameters of High & Low grade tumors.The CBV, CBF & Vp range of patients population for High Grade glioma included in this study were found to be 5.7 ±2.36, 105.04±49.80, .022±.008 respectively. CBV, CBF & Vp range for Low Grade Glioma were found to be 2.41±1.05, 49.87±35.89, .011±.005 respectively. The range of CBV, CBF & Vp for Normal Gray Matter regions for this study population were found to be 2.04±1.52, 25.47±16.34, .009±.005 respectively. Normal White Matter regions show CBV, CBF & Vp range of 1.04± .69, 36.27 ±20.37, .004±.003 respectively for this pediatric population (Figure 1). Significant difference was found in independent sample t-test in CBV (p < 0.020) & Vp (p < 0.036) parameters whereas no significant difference was found in the kinetic parameters between High and Low grade tumors. Example images of pediatric High & Low grade tumor are shown in Figure 2.Our result shows Cerebral Blood Volume and fractional plasma volume, Vp can significantly differentiate between High Grade & Low Grade tumor. This confirms the predictive utility of DCE-MRI parameters in pediatric population for tumor grading & therapeutic planning. One of the limitations of this study was less sample size; i.e. the availability of less number of pediatric patients which influences the standard deviation of the result.The critical analysis of our results also must take into account methodological limitations like the retrospective nature of the study, leading to a strongly heterogeneous population in terms of type of tumor, location and time of the MRI of the patient. This is an ongoing study involving more pediatric cases for further extension of this work.