We are analyzing https://link.springer.com/article/10.1007/s11910-014-0506-0.

Title:
Radiogenomics and Imaging Phenotypes in Glioblastoma: Novel Observations and Correlation with Molecular Characteristics | Current Neurology and Neuroscience Reports
Description:
Radiogenomics is a provocative new area of research based on decades of previous work examining the association between radiological and histological features. Many generalized associations have been established linking anatomical imaging traits with underlying histopathology, including associations between contrast-enhancing tumor and vascular and tumor cell proliferation, hypointensity on pre-contrast T1-weighted images and necrotic tissue, and associations between hyperintensity on T2-weighted images and edema or nonenhancing tumor. Additionally, tumor location, tumor size, composition, and descriptive features tend to show significant associations with molecular and genomic factors, likely related to the cell of origin and growth characteristics. Additionally, physiologic MRI techniques also show interesting correlations with underlying histology and genomic programs, including associations with gene expression signatures and histological subtypes. Future studies extending beyond simple radiology–histology associations are warranted in order to establish radiogenomic analyses as tools for prospectively identifying patient subtypes that may benefit from specific therapies.
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Keywords {🔍}

pubmed, article, google, scholar, cas, imaging, glioblastoma, central, tumor, brain, cell, oncol, analysis, molecular, ellingson, tumors, med, survival, magn, reson, research, mri, gene, expression, cancer, angeles, magnetic, human, diffusion, resonance, benjamin, radiology, gbm, multiforme, pope, ajnr, neuroradiol, radiogenomics, phenotypes, genomic, studies, study, gliomas, lai, features, mgmt, response, patients, grant, university,

Topics {✒️}

pre-contrast t1-weighted images edema/cellular invasion mri-phenotypes month download article/chapter roche/genentech research grant linking image-derived phenotype contrast-enhanced perfusion mri diffusion-tensor mr images quantitative-diffusion-tensor mri conventional contrast-enhanced mr bmc med genomics o6-methylguanine dna methyltransferase neuro-oncology working group article current neurology p53-null mutant mice low-dose gadopentetate dimeglumine dna-repair gene mgmt diffusion-weighted mri features adc histogram analysis full article pdf treatment-naive glioblastoma correlates t2-weighted images diffusion-weighted imaging magnetic resonance imaging diffusion-weighted mri neuro-oncology access molecular characteristics neuro-oncology neural stem cells magnetic susceptibility effects diffusion mr phenotypes privacy choices/manage cookies mr imaging correlates functional diffusion maps image-guided biopsies simple radiology–histology associations nuclear magnetic resonance cerebral blood volume contrast-enhancing tumor echo-planar technique schold jr sc quantitative volumetric analysis animal subjects performed physiologic mr imaging mr imaging predictors kelly pj t2 relaxation times multifocal tumor phenotype show interesting correlations cerebral blood flow newly diagnosed glioblastoma neuro-oncology rights

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         headline:Radiogenomics and Imaging Phenotypes in Glioblastoma: Novel Observations and Correlation with Molecular Characteristics
         description:Radiogenomics is a provocative new area of research based on decades of previous work examining the association between radiological and histological features. Many generalized associations have been established linking anatomical imaging traits with underlying histopathology, including associations between contrast-enhancing tumor and vascular and tumor cell proliferation, hypointensity on pre-contrast T1-weighted images and necrotic tissue, and associations between hyperintensity on T2-weighted images and edema or nonenhancing tumor. Additionally, tumor location, tumor size, composition, and descriptive features tend to show significant associations with molecular and genomic factors, likely related to the cell of origin and growth characteristics. Additionally, physiologic MRI techniques also show interesting correlations with underlying histology and genomic programs, including associations with gene expression signatures and histological subtypes. Future studies extending beyond simple radiology–histology associations are warranted in order to establish radiogenomic analyses as tools for prospectively identifying patient subtypes that may benefit from specific therapies.
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      headline:Radiogenomics and Imaging Phenotypes in Glioblastoma: Novel Observations and Correlation with Molecular Characteristics
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