Spectroscopic and perfusion magnetic resonance imaging predictors of progression in pediatric brain tumors

Cancer ◽  
2004 ◽  
Vol 100 (6) ◽  
pp. 1246-1256 ◽  
Author(s):  
A. Aria Tzika ◽  
Loukas G. Astrakas ◽  
Maria K. Zarifi ◽  
David Zurakowski ◽  
Tina Young Poussaint ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Perfusion Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Pediatric Brain

Perfusion magnetic resonance imaging in pediatric brain tumors

2017 ◽  
Vol 59 (11) ◽  
pp. 1143-1153 ◽  
Author(s):  
F. Dallery ◽  
R. Bouzerar ◽  
D. Michel ◽  
C. Attencourt ◽  
V. Promelle ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Perfusion Magnetic Resonance Imaging ◽  
Resonance Imaging ◽  
Pediatric Brain

Susceptibility-weighted magnetic resonance imaging of cerebrovascular sequelae after radiotherapy for pediatric brain tumors

2018 ◽  
Vol 127 (2) ◽  
pp. 280-286 ◽  
Author(s):  
Marie A. Neu ◽  
Yasemin Tanyildizi ◽  
Arthur Wingerter ◽  
Nicole Henninger ◽  
Khalifa El Malki ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Resonance Imaging ◽  
Weighted Magnetic Resonance Imaging ◽  
Pediatric Brain

The role of diffusion-weighted magnetic resonance imaging in pediatric brain tumors

2006 ◽  
Vol 22 (11) ◽  
pp. 1435-1439 ◽  
Author(s):  
Peter Kan ◽  
James K. Liu ◽  
Gary Hedlund ◽  
Douglas L. Brockmeyer ◽  
Marion L. Walker ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Resonance Imaging ◽  
Diffusion Weighted ◽  
Weighted Magnetic Resonance Imaging ◽  
Pediatric Brain

scholarly journals Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
James T. Grist ◽  
Stephanie Withey ◽  
Christopher Bennett ◽  
Heather E. L. Rose ◽  
Lesley MacPherson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Survival Analysis ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Supervised Machine Learning ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Pediatric Brain

AbstractBrain tumors represent the highest cause of mortality in the pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due to the relatively low numbers of individual tumor types. 69 children with biopsy-confirmed brain tumors were recruited into this study. All participants had perfusion and diffusion weighted imaging performed at diagnosis. Imaging data were processed using conventional methods, and a Bayesian survival analysis performed. Unsupervised and supervised machine learning were performed with the survival features, to determine novel sub-groups related to survival. Sub-group analysis was undertaken to understand differences in imaging features. Survival analysis showed that a combination of diffusion and perfusion imaging were able to determine two novel sub-groups of brain tumors with different survival characteristics (p < 0.01), which were subsequently classified with high accuracy (98%) by a neural network. Analysis of high-grade tumors showed a marked difference in survival (p = 0.029) between the two clusters with high risk and low risk imaging features. This study has developed a novel model of survival for pediatric brain tumors. Tumor perfusion plays a key role in determining survival and should be considered as a high priority for future imaging protocols.

833 The Use of Intraoperative Magnetic Resonance Imaging for the Treatment of Pediatric Brain Tumors

Neurosurgery ◽  
2000 ◽  
Vol 47 (2) ◽  
pp. 538-538
Author(s):  
Mark R. Proctor ◽  
Elizabeth A. Eldredge ◽  
Ferenc A. Jolesz ◽  
Liliana Goumnerova ◽  
R. Michael Scott ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Pediatric Brain Tumors ◽  
Resonance Imaging ◽  
Intraoperative Magnetic Resonance Imaging ◽  
Pediatric Brain

Clinical relevance of diffusion and perfusion magnetic resonance imaging in assessing intra-axial brain tumors

2006 ◽  
Vol 48 (3) ◽  
pp. 150-159 ◽  
Author(s):  
N. Rollin ◽  
J. Guyotat ◽  
N. Streichenberger ◽  
J. Honnorat ◽  
V.-A. Tran Minh ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Tumors ◽  
Clinical Relevance ◽  
Perfusion Magnetic Resonance Imaging ◽  
Resonance Imaging
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