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Neuroimaging and genetic influence in treating brain neoplasms
L Celso Hygino da Cruz1, Margareth Kimura2
1MRI Department of Clínica de Diagnostico por Imagem (CDPI) and IRM Ressonância Magnética, Av. das Américas, 4666 Sl 325, Centro Médico Barrashopping, Rio de Janeiro, RJ, Brazil.
Neuroimaging Clinics of North America
|December 6, 2014
Summary
Personalized glioblastoma treatment using genetic insights from MR imaging aims to improve patient survival. This review correlates imaging with genetic alterations for better prognosis and management.
Area of Science:
- Neuroimaging
- Oncology
- Genetics
Background:
- Current glioblastoma (GBM) treatments (surgery, radiation, chemotherapy) offer limited survival benefits.
- Personalized medicine is crucial for enhancing patient management and overall survival in GBM.
- Genetic characterization of high-grade gliomas is a key goal in neuroimaging.
Purpose of the Study:
- To review genetic alterations in high-grade gliomas.
- To explore the implications of these genetic alterations for patient treatment and prognosis.
- To correlate MR imaging features with genetic aspects of GBMs.
Main Methods:
- Review of current literature on glioblastoma genetics and neuroimaging.
- Correlation of MR imaging findings with known genetic alterations in gliomas.
- Analysis of post-treatment phenomena (pseudoprogression, pseudoresponse) in relation to genetic expression.
Main Results:
- Specific genetic alterations in high-grade gliomas impact treatment strategies and patient outcomes.
- MR imaging techniques can provide insights into the genetic landscape of these tumors.
- Understanding genetic expression aids in differentiating true progression from treatment effects like pseudoprogression/pseudoresponse.
Conclusions:
- Integrating genetic information with MR imaging is essential for personalized glioblastoma treatment.
- Advanced neuroimaging techniques are vital for non-invasively characterizing tumor genetics.
- Accurate interpretation of post-treatment changes, guided by genetic data, improves patient management and prognostic accuracy.
Keywords:
Gene expressionGlioblastomaHigh-grade gliomasOutcomePrognosisPseudoprogressionRadiogenomicTreatment response
