ISMRM 24th Annual Meeting & Exhibition • 07-13 May 2016 • Singapore

Scientific Session: Radiogenomics & Radiomics

Tuesday, May 10, 2016
Room 300-302
10:00 - 12:00
Moderators: Seung Hong Choi, Radka Stoyanova

Radiogenomic analysis of glioblastoma using protein-based amide proton transfer (APT) imaging and message RNA expression: A novel correlation in molecular imaging and gene characteristics
Shanshan Jiang1, Xianlong Wang1, Hao Yu1, Jiandong Xi1, Jingwen Wu1, Lisong Liang1, Shilong Lu1, Tianyu Zou1, Jinyuan Zhou2, and Zhibo Wen1
1Department of Radiology, Southern Medical University Zhujiang Hospital, Guangzhou, China, People's Republic of, 2Department of Radiology, Johns Hopkins University, Baltimore, MD, United States
The correlation between endogenous protein-based APT-weighted (APTw) imaging and gene expression in glioblastoma (GBM) was investigated. 16 patients with newly diagnosed GBM were studied. APTw/FLAIR hyperintensity area ratio (AFR), and APTw hyperintensity/gadolinium contrast-enhanced T1w enhancement area ratio (ATR) were calculated. Interoperative paired tumor and adjacent normal tissues were sampled for genomic analysis. BRCA1 and CDK4 were significantly downregulated in the high AFR group (adjusted P= 0.000953 and 0.025187), and SLAMF9 and MIA were significantly downregulated in the high ATR group (adjusted P= 1.08E-11 and 0.00997). APT imaging has great potential for unveiling some special genomic changes in GBM.

Large-scale radiomic profiling of glioblastoma identifies an imaging signature for predicting and stratifying antiangiogenic treatment response.
Philipp Kickingereder1, Michael Götz2, John Muschelli3, Antje Wick4, Ulf Neuberger5, Russell T Shinohara6, Alexander Radbruch7, Heinz-Peter Schlemmer7, Wolfgang Wick4, Martin Bendszus5, Klaus H Maier-Hein2, and David Bonekamp7
1Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany, 2Division Medical and Biological Informatics, DKFZ - German Cancer Research Center, Heidelberg, Germany, 3Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 4Department of Neurology, University of Heidelberg Medical Center, Heidelberg, Germany, 5Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany, 6Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 7Department of Radiology, DKFZ - German Cancer Research Center, Heidelberg, Germany
To analyze the potential of radiomics, an emerging field of research that aims to utilize the full potential of medical Imaging (1,2), for predicting and stratifying treatment response to antiangiogenic therapy in patients with recurrent glioblastoma.  

Low Apparent Diffusion Coefficient Values Correlate with Enhancing Mitosis and Cell Proliferation Expression in glioblastoma using Locus-Specific Radiogenomic Map - Permission Withheld
Cheng-Yu Chen1,2,3, Fei-Ting Hsu1, Hua-Shan Liu1,4, Ping-Huei Tsai1,3, Chia-Feng Lu2,3,5, Yu-Chieh Kao2,3, Li-Chun Hsieh1, and Pen-Yuan Liao1
1Department of Medical Image, Taipei Medical University Hospital, Taipei, Taiwan, 2Translational Imaging Research Center, College of Medicine, Taipei Medical University, Taipei, Taiwan, 3Department of Radiology, School of Medicine, Taipei Medical University, Taipei, Taiwan, 4Graduate Institute of Clinical Medicine, Taipei Medical University, Taipei, Taiwan, 5Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
A new approach to unravel the genomic expression of glioblastoma by advanced MR imaging technique has recently been introduced to improve the prognostic and predictive efficacies of neuroimaging. This imaging method is potentially a valuable tool to link individual differences in the human genome to structure, function and physiology into brain disease, a method referred to as radiogenomics. In this study, we established locus specific radiogenomic map based on MR imaging and Microarray RNA analysis. Our results revealed that apparent diffusion coefficient (ADC) differences were correlated with several biological processes change, including cell proliferation, T cell immunity, immune response, and mitosis. The identification of tumor genotypes by imaging phenotypes will open a new era of therapeutic strategy in high grade gliomas.

Radiomic features on Multi-parametric MRI can help risk categorization of Prostate Cancer patients on Active Surveillance
Ahmad Algohary1, Satish Viswanath1, Sadhna Verma2, and Anant Madabhushi1
1Case Western Reserve University, Cleveland, OH, United States, 2University of Cincinnati, Cincinnati, OH, United States
Active Surveillance (AS) offers an important alternative to radical treatment as more men die with prostate cancer (PCA) than of the disease. In this study, we explore the role of radiomic texture features on a pre-biopsy screening 3 Tesla multi-parametric MRI that can predict which men with elevated PSA will have a cancer-positive or cancer-negative biopsy. The selected texture features correctly identified 14/15 biopsy-negative (compared to 10/15 cases correctly identified by PIRADS) and 23/30 biopsy-positive cases (compared to only 15/30 correctly identified by PIRADS). These features appear to enhance differentiation between biopsy-positive and biopsy-negative prostate cancer patients on Active Surveillance.

Association of Radiomics and Metabolic Tumor Volumes in Radiation Treatment of Glioblastoma Multiforme - Permission Withheld
christopher lopez1, Natalya Nagornaya2, Nestor Parra2, Deukwoo Kwon2, Fazilat Ishkanian2, Arnold Markoe2, Andrew Maudsley2, and Radka Stoyanova2
1Radiation Oncology, University of Miami, Miami, FL, United States, 2University of Miami, Miami, FL, United States
To investigate the importance of metabolites of N-acetyl aspartate and choline derived from MRSI and the correlation of image features from localized radiation therapy volumes determined from MRI and CT defined tumor volumes. Also to replace subjective categorical image features with calculated objective features. Results suggest that radiation therapy planning can be more accurate by adding metabolic information.

Relationship of invivo MR parameters to molecular characteristics of non-enhancing lower-grade gliomas
Tracy L Luks1, Tracy Richmond McKnight1, Aurelia Williams1, Evan Neill1, Khadjia Lobo1, Anders Persson2, Arie Perry3, Joanna Phillips3, Annette Molinaro4, Susan Chang4, and Sarah J Nelson1
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurology, University of California San Francisco, San Francisco, CA, United States, 3Pathology, University of California San Francisco, San Francisco, CA, United States, 4Neurosurgery, University of California San Francisco, San Francisco, CA, United States
Invivo MR anatomy, diffusion, perfusion, and spectroscopy profiles from non-enhancing grade 2 and grade 3 gliomas were examined by histologic and molecular characteristics associated with clinical outcome. Patients underwent a pre-surgical 3T MR exam including IRSPGR, FSE, FLAIR, DWI, MRSI and DSC. For surgical biopsies, histological sub-type, grade, cleaved caspase-3, MIB-1, Ki67, IDH1R132H, ATRX, p53, and co-deletion of 1p19q were determined. Overall, molecular characteristics associated with worse clinical outcome were associated with higher ADC and lower FA, lower nCBV and nPH, and higher Recov, and higher nLAC.

Radiomic features from the necrotic region on post-treatment Gadolinium T1w MRI appear to differentiate pseudo-progression from true tumor progression in primary brain tumors
Prateek Prasanna1, Raymond Huang2, Andrew Rose1, Gagandeep Singh1, Anant Madabhushi1, and Pallavi Tiwari1
1Case Western Reserve University, Cleveland, OH, United States, 2Brigham and Women's Hospital, Boston, MA, United States
Pseudoprogression is an early-delayed inflammatory response to chemoradiotherapy typically appearing up to 3 months post-treatment in brain tumors. On routine MRI, pseudoprogression closely mimics the appearance of true progression, thereby making their visual identification challenging. Early diagnosis of pseudoprogression has implications in management of treatment effects and subsequently survival. We present initial results of using a newly developed radiomic descriptor, CoLlAGE, in distinguishing the two pathologies. We report that CoLlAGe measurements when captured from the necrotic region as opposed to just the enhancing region on MRI can reliably distinguish psuedo-progression from true progression with 100% accuracy (n=17)

Combined assessment of tumor oxygen metabolism and angiogenesis in glioma patients
Andreas Stadlbauer1, Max Zimmermann1, Karl Rössler1, Stefan Oberndorfer2, Arnd Dörfler3, Michael Buchfelder1, and Gertraud Heinz4
1Department of Neurosurgery, University of Erlangen, Erlangen, Germany, 2Department of Neurology, University Clinic of St. Pölten, St. Pölten, Austria, 3Department of Neuroradiology, University of Erlangen, Erlangen, Germany, 4Department of Radiology, University Clinic of St. Pölten, St. Pölten, Austria
Reprogramming energy metabolism and inducing angiogenesis are part of the hallmarks of cancer. Thirty-five patients with untreated or recurrent glioma were examined using vascular architecture mapping (VAM) and the multiparametric quantitative BOLD (mp-qBOLD) technique for combined exanimation of oxygen metabolism and angiogenesis in gliomas. Maps of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2) as well as of the vascular architecture MRI biomarkers microvessel radius (RU), density (NU), and type indicator (MTI) were calculated. Low-grade glioma showed increased OEF. Glioblastomas showed significantly increased CMRO2 and NU. MTI demonstrated widespread areas draining venous microvasculature in high-grade gliomas.

Radiogenomics by Proton Magnetic Resonance Spectroscopy: Integrative Analysis of Metabolites and Genome-wide Expression in Glioblastomas
Dieter Henrik Heiland1, Thomas Lange2, Ralf Schwarzwald3, Dietmar Pfeifer4, Karl Egger3, Horst Urbach3, Astrid Weyerbrock1, and Irina Mader3
1Dept. of Neurosurgery, University Medical Center Freiburg, Freiburg, Germany, 2Dept. MR Physics, Dept. of Radiology, University Medical Center Freiburg, Freiburg, Germany, 3Dept. of Neuroradiology, University Medical Center Freiburg, Freiburg, Germany, 4Department of Hematology, Oncology and Stem Cell Transplantation, University Medical Center Freiburg, Freiburg, Germany
The purpose of this work was to search for a connection between metabolites observed by proton magnetic resonance spectroscopy of glioblastomas and tumor genetics. Two specific pathways could be identified, one belonging to NAA and discriminating an astroglial versus oligo/neural subgroup. Another one was related to Cr also distinguishing between two subgroups, one attributed to apoptosis and another one to the PI3K-AKT-mTOR signaling cascade.

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