Integration Of Imaging Data And Genomic Information For Enhancing Personalized Treatment In Glioblastoma Multiforme
A Literature Review
DOI:
https://doi.org/10.58445/rars.1326Keywords:
Imaging Data, Genomic Informatio, glioblastomaAbstract
Glioblastoma Multiforme (GBM) is a highly aggressive and deadly brain tumor with a poor prognosis, featuring a 5-year survival rate of only 7.2%. Current treatment methods, including surgery, chemotherapy, and radiation, offer limited long-term success, particularly due to the tumor's heterogeneity and the presence of glioma-initiating cells that resist treatment. This review explores the potential of integrating imaging techniques, such as MRI and PET, with genomic information to enhance personalized treatment strategies for GBM. MRI, including advanced methods like PWI and MRS, provides detailed anatomical and metabolic insights, while PET imaging assesses tumor activity and hypoxia. Genomic profiling, through technologies like Next-Generation Sequencing (NGS) and gene expression profiling, identifies key genetic alterations in GBM. Combining these imaging and genomic data sets through approaches like radiomics and radiogenomics could improve diagnosis, treatment planning, and prognostication, ultimately leading to more effective and tailored therapies. However, further research and clinical trials are essential to validate and optimize these integrative strategies for clinical application.
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