The Use of Proton Therapy in the Treatment of Benign or Low-Grade Pediatric Brain Tumors

2014 ◽  
Vol 20 (6) ◽  
pp. 403-408 ◽  
Author(s):  
Bree R. Eaton ◽  
Torunn Yock
Keyword(s):  
Brain Tumors ◽  
Proton Therapy ◽  
Pediatric Brain Tumors ◽  
Low Grade ◽  
Pediatric Brain

scholarly journals Variation in relative biological effectiveness for cognitive structures in proton therapy of pediatric brain tumors

2020 ◽  
pp. 1-8
Author(s):  
Ole Marius Otterlei ◽  
Daniel J. Indelicato ◽  
Laura Toussaint ◽  
Kristian S. Ytre-Hauge ◽  
Sara Pilskog ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Proton Therapy ◽  
Relative Biological Effectiveness ◽  
Pediatric Brain Tumors ◽  
Cognitive Structures ◽  
Biological Effectiveness ◽  
Pediatric Brain

Delayed cognitive, behavioral, and radiological changes related to canial irradiation for pediatric brain tumors

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 20023-20023
Author(s):  
M. M. Abdel Wahab ◽  
H. Hussien ◽  
K. M. Maher
Keyword(s):  
White Matter ◽  
Brain Tumors ◽  
Visual Memory ◽  
Statistical Significance ◽  
Pediatric Brain Tumors ◽  
Low Grade ◽  
White Matter Damage ◽  
Cranial Radiation ◽  
Pediatric Brain

20023 Purpose: To evaluate the delayed adverse changes in neuro-cognitive functions as well as white matter damage in radiated survivors of pediatric brain tumors. Methods: Forty two children (22 males) with primary brain tumors who were only treated with cranial radiation, were recruited. 28 patients were treated for low risk medulloblastoma, 10 patients for low grade astrocytoma, 3 patients for low grade ependymoma, and 1 patient for craniopharyngioma. Their ages ranged from 3 to 18 years (mean 10.3±3.98 years).They were subjected, initially just before radiotherapy and at follow-up 1–2 year after completion of cranial radiation, to serial clinical and neuropsychological assessments including Wechseler Intelligence Scale for Children, Vineland social maturity test, Benton Visual Memory Test, and Revised Behavior Problem Checklist. Magnetic resonance scans were also performed to detect the presence of white matter damage before radiotherapy and at follow up. Results: Initially, after surgery and before radiation, intelligence test scores were below normal scores for age and this was of high statistical significance (Total IQ: t= -3.02, P= 0.006). Visual memory test showed evidence of organicity in all cases. Social maturity showed a statistically significant decline as well (t= -2.11, P= 0.04). Follow-up after radiotherapy showed further decline with high statistical significance (Total IQ t= 3.228, P=0.003; visual memory t= 4.08, P= 0.001); An attentional problem has emerged (t= -6.12, P= 0.00). Both radiation dose and volume of radiation showed negative and statistically significant correlation with IQ. Age at diagnosis correlated positively and significantly with IQ ( r= 0.601, P=0.001). Multiple linear regression showed impaired neurocognitive function which was correlated with the degree of white matter damage. (standardized B= -0.577, P= 0.001) and young age at diagnosis (standardized B= -0.427, P= 0.014). Conclusions: Cranial radiation in pediatric brain tumors is associated with a decline in multiple neurocognitive functions including total IQ, visual memory, and attention; which are related to the toxic effect of cranial radiation on white matter of the brain especially in young age of childhood with high dose and whole cranial radiation. No significant financial relationships to disclose.

scholarly journals Comparison of Diffusion and Perfusion Techniques in Differentiating High Versus Low Grade Pediatric Brain Tumors

2020 ◽  
Vol 3 ◽  
Author(s):  
Eric Chen ◽  
Chang Ho ◽  
Benjamin Gray ◽  
Jason Parker ◽  
Emily Diller ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Tumor Grade ◽  
Pediatric Brain Tumors ◽  
Solid Cancer ◽  
Low Grade ◽  
Dynamic Susceptibility ◽  
High Grade ◽  
Dynamic Contrast Enhancement ◽  
Significant Difference ◽  
Pediatric Brain

Background/Objective: Brain tumors are the most common solid cancer in children and cause significant mortality and morbidity. We compare the effectiveness of different parameters in predicting tumor grade between dynamic contrast enhancement (DCE), intravoxel incoherent motion (IVIM), dynamic susceptibility contrast (DSC) perfusion and diffusion weighted imaging (DWI).    Methods: A retrospective blinded review of pediatric brain tumors with DCE, IVIM, DWI, and DSC was performed. Parametric maps were registered to T2 weighted images. Volumetric regions of interest (ROI) were manually segmented from solid tumor components for each patient by a neuroradiologist (CH), neuroradiology fellow (BG), and medical student (EC). Resulting mean values for parameters from DCE (Ktrans, Kep, Ve, Vp,), IVIM (D, D*, f), DSC (rCBV) and DWI (ADC) were compared using Student’s t-test for high- and low-grade tumor groups based on WHO grading from pathology. For significant parameters, receiver operating characteristic (ROC) analysis with area under curve (AUC) was performed.     Results: 20 subjects were included with 9 low grade and 11 high grade tumors. Significant differences between low versus high grade were demonstrated for D (10−3 mm2/s) (1.4±0.4 vs 0.9±0.2, p=0.01), f (0.04±0.02 vs 0.07±0.02, p=0.02), ADC (10−3 mm2/s) (1.4±0.4 vs 0.9±0.3, p=0.009) and rCBV (2.2±0.9 vs 4.7±2.1, p=0.003). No significant difference was found for D* or any DCE parameter. AUC from ROC was similar for all significant parameters [D (0.81, p=0.003); f (0.80, p=0.003); ADC (0.83, p=0.001); rCBV (0.83, p=0.0005)].    Conclusion: D and f parameters from IVIM can significantly differentiate high versus low grade pediatric brain tumors similar to ADC and rCBV. Conversely, no DCE parameter was significant.    Scientific Implications: The results will assist the selection of MRI sequences that best predict tumor grade, as well as guide tumor biopsy for the most aggressive tumor portions. Further study of these techniques may correlate with molecular profiling and predict outcome. 

scholarly journals LG-07 * MOSAIC GENETIC PROGRESSION MODELS OF LOW GRADE PEDIATRIC BRAIN TUMORS REVEAL UNIQUE FEATURES OF TUMOR EVOLUTION

2015 ◽  
Vol 17 (suppl 3) ◽  
pp. iii19-iii19
Author(s):  
C. D. Antonuk ◽  
R. Levy ◽  
J. Molina ◽  
M. Danielpour ◽  
A. Akhtar ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Tumor Evolution ◽  
Low Grade ◽  
Pediatric Brain

scholarly journals Detection of human herpesvirus-6 variants in pediatric brain tumors: Association of viral antigen in low grade gliomas

2009 ◽  
Vol 46 (1) ◽  
pp. 37-42 ◽  
Author(s):  
John R. Crawford ◽  
Maria R. Santi ◽  
Halldora K. Thorarinsdottir ◽  
Robert Cornelison ◽  
Elisabeth J. Rushing ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Viral Antigen ◽  
Human Herpesvirus ◽  
Pediatric Brain Tumors ◽  
Low Grade ◽  
Human Herpesvirus 6 ◽  
Low Grade Gliomas ◽  
Herpesvirus 6 ◽  
Pediatric Brain

Differentiating high and low grade pediatric brain tumors using diffusional kurtosis imaging

2015 ◽  
Vol 02 (04) ◽  
pp. 301-305
Author(s):  
Jens Jensen ◽  
Vitria Adisetiyo ◽  
Els Fieremans ◽  
Joseph Helpern ◽  
Matthias Karajannis ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Low Grade ◽  
Diffusional Kurtosis Imaging ◽  
Pediatric Brain

scholarly journals Do Intratumoral And Peritumoral Apparent Diffusion Coefficient (ADC) Values Have A Role In The Diagnosis Of Pediatric Brain Tumors?

2020 ◽  
Author(s):  
Güleç Mert Doğan ◽  
Ahmet Sığırcı ◽  
Sevgi Taşolar ◽  
Aslınur Cengiz ◽  
Hilal Er Ulubaba ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Brain Tumors ◽  
Magnetic Resonance Image ◽  
Pediatric Patients ◽  
Pediatric Brain Tumors ◽  
Low Grade ◽  
High Grade ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Pediatric Brain

INTRODUCTION: The motion of water particles within biological tissues, which is called random Brownian motion, is detected at the microscopic level by Diffusion-Weighted Imaging (DWI) sequence of Magnetic Resonance Image technique. The Apparent Diffusion Coefficient (ADC) calculated on DWI has been used for tumor diagnosis and grading. The purpose of this study was to evaluate of ADC values in the differential diagnosis of supratentorial and infratentorial pediatric brain tumors and to reveal the difference of peritumoral ADC measurements of pediatric patients from adult patients. METHODS: All of the 56 pediatric patients included in this retrospective study had lesions >1 cm in diameter on magnetic resonance image and all of the diagnosies were confirmed by histopathology. Intratumoral and peritumoral ADC values and ratios were measured in diffusion weighted Magnetic Resonance Image. RESULTS: The 58.9% (n=33) of these tumors were supratentorial and 41.1% (n=23) were infratentorial. ADC values and ADC ratios were significantly lower in high-grade tumors than low-grade tumors (p<0.05). Peritumoral ADC values in high-grade tumors were lower than low grade tumors (p<0.05). The cut-off value of the ADC ratio between these two groups was 1 and the ADC cut-off value was 1.1*10-3 mm2/s. DISCUSSION AND CONCLUSION: In the differentiation of low and high-grade pediatric brain tumors, cut-off values of 1.1*10_3mm2/s for ADC Value and 1.0 for ADC Ratio may be useful. Although, peritumoral ADC values differ in children compared to the adult group, both intratumoral and peritumoral ADC values can help for grading pediatric brain tumors.

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