1. ASNR 2012 Methodology for Imaging Genomics of Gliomas
Rivka R. Colen, M.D.1, Bhanu Mahajan, M.B.B.S.1, Arpad Kovacs, M.D.1, Pascal O. Zinn, M.D.2, Ferenc A. Jolesz, M.D.1
1 Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
2 M.D. Anderson Cancer Center, Houston, TX, USA.
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Disclosures
No Disclosures.
R25 CA089017(RRC)
P41 RR (FAJ)
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Imaging Genomics
Imaging Genomics has emerged as a new field which links gene expression profiles with MRI phenotypes.
MRI (radio) phenotypes( necrosis, edema/tumor infiltration, contrast enhancement, perfusion, diffusion) correlated with underlying genomic composition (genes, microRNAs, etc)
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Imaging Genomics
Quantitative image analysis results in more precise and reproducible results and can then be correlated with genomics.
In imaging genomics, tumor volumetrics has the potential to uncover genomic targets for subsequent development into cancer therapeutics.
This was first described by Zinn et al in 2011 where an invasive gene and microRNA was uncovered using the FLAIR volume as an MRI biomarker (radiophenotype).
Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, Jolesz FA, Colen RR. Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme. PLoS One. 2011;6(10):e25451
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Purpose
In this study, we seek demonstrate the methodology for imaging genomic brain tumor volumetric analysis and its feasibility.
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Imaging Genomics
Here, we demonstrate the methodology and feasibility for the first comprehensive radiogenomic analysis using quantitative MRI volumetrics and large-scale gene- and microRNA expression profiling in Glioblastoma Multiforme (GBM).
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Methods and Materials
Retrospective study of 78 treatment naïve GBM patients
Image data used in this research were obtained from The Cancer Imaging Archive ( sponsored by the Cancer Imaging Program, DCTD/NCI/NIH.
Imaging was correlated with Gene- and micoRNA- expression profiles obtained from The Cancer Genome Atlas (TCGA)
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Methods and Materials
T2/FLAIR was rigidly aligned and registered to the post- contrast T1WI.
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9. Methods and Materials Segmentation Slicer 3.6 (slicer.org)
Volumes were obtained using the segmentation module of Slicer
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Methods and Materials
Volumetric segmentation was performed in a simple hierarchical model of anatomy, proceeding from peripheral to central.
Edema
Contrast Enhancement
Necrosis
Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, Jolesz FA, Colen RR. Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme. PLoS One. 2011;6(10):e25451
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Methods and Materials
This results in 3 distinct structures being segmented:
Edema/invasion
Enhancing tumor
Necrosis
Tumor Segmentation. 65 year old male patient with a right temporal GBM. Segmentation of tumor edema (blue), enhancement (yellow) and necrosis (red) was performed and edema volume was obtained.
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Methods and Materials
Fluid-attenuated inversion recovery (FLAIR) was used for segmentation of the edema
Edema
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Methods and Materials
Post contrast T1-weighted imaging (T1W1) for segmentation of enhancement(tumor) and necrosis
Necrosis
Contrast enhancement
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Methods and Materials
Slicer Model Making Module for Volume calculations
Models (Volumes) of Edema, Tumor and Necrosis were generated from previously performed segmentations.
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Methods and Materials
Volumes of each radiophenotype ( edema/tumor infiltration, enhancing tumor, and necrosis) were then correlated with the genomic findings.
Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, Jolesz FA, Colen RR. Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme. PLoS One. 2011;6(10):e25451
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Results
In most scans, image registration was almost 100%
Scans where complex rotational modifications and registration were required, registration was deemed adequate when error was 2mm or less.
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Results
Quantitative volumes of edema/invasion, enhancement and necrosis were in high correlation with biologically concordant functional genomic targets.
MRI-FLAIR radiophenotype readily and noninvasively detected key cancer genomic components responsible for cellular migration and invasion in GBM.
Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, Jolesz FA, Colen RR. Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme. PLoS One. 2011;6(10):e25451
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Conclusion
Quantitative imaging genomic analysis is simple.
Imaging surrogates/ biomarkers using conventional MRI radiophenotypes of necrosis, enhancing tumor and edema/tumor infiltration reflect specific genomic composition in GBM.
Quantitative imaging genomic analysis allow for predictions of key genetic events.
Quantitative imaging genomic analysis can screen for novel genomic targets for possible subsequent development of targeted therapeutics.
Stratify patients based on their genetic/molecular makeup into responders versus non-responders to a particular treatment.
The ability to determine uncover genomic targets from routine clinical MRI examinations and thus subsequently determine if a patient is a candidate for that genomic therapy is a major step towards personalized medicine.
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19. Thank you for your interest!
Conclusion
Thank you for your interest!
Acknowledgements: This work was supported by NIH grant R25 CA A2 (RRC).
Any questions please
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