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Radiogenomics

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https://www.readbyqxmd.com/read/28453432/multiregional-radiogenomic-assessment-of-prostate-microenvironments-with-multiparametric-mr-imaging-and-dna-whole-exome-sequencing-of-prostate-glands-with-adenocarcinoma
#1
Neema Jamshidi, Daniel J Margolis, Steven Raman, Jiaoti Huang, Robert E Reiter, Michael D Kuo
Purpose To assess the underlying genomic variation of prostate gland microenvironments of patients with prostate adenocarcinoma in the context of colocalized multiparametric magnetic resonance (MR) imaging and histopathologic assessment of normal and abnormal regions by using whole-exome sequencing. Materials and Methods Six patients with prostate adenocarcinoma who underwent robotic prostatectomy with whole-mount preservation of the prostate were identified, which enabled spatial mapping between preoperative multiparametric MR imaging and the gland...
April 28, 2017: Radiology
https://www.readbyqxmd.com/read/28418819/cancer-genomics-and-important-oncologic-mutations-a-contemporary-guide-for-body-imagers
#2
REVIEW
Veronica L Cox, Priya Bhosale, Gauri R Varadhachary, Nicolaus Wagner-Bartak, Isabella C Glitza, Kathryn A Gold, Johnique T Atkins, Pamela T Soliman, David S Hong, Aliya Qayyum
The field of cancer genomics is rapidly evolving and has led to the development of new therapies. Knowledge of commonly involved cellular pathways and genetic mutations is now essential for radiologists reading oncology cases. Radiogenomics is an emerging area of research that seeks to correlate imaging features with cancer genotypes. Such knowledge may extend the utility of multiparametric imaging to yield information regarding cancer prognosis and likelihood of therapeutic response. To date, only a handful of radiogenomics studies have been performed to evaluate solid tumors of the body, and there is much to explore...
May 2017: Radiology
https://www.readbyqxmd.com/read/28417933/radiogenomic-analysis-of-oncological-data-a-technical-survey
#3
REVIEW
Mariarosaria Incoronato, Marco Aiello, Teresa Infante, Carlo Cavaliere, Anna Maria Grimaldi, Peppino Mirabelli, Serena Monti, Marco Salvatore
In the last few years, biomedical research has been boosted by the technological development of analytical instrumentation generating a large volume of data. Such information has increased in complexity from basic (i.e., blood samples) to extensive sets encompassing many aspects of a subject phenotype, and now rapidly extending into genetic and, more recently, radiomic information. Radiogenomics integrates both aspects, investigating the relationship between imaging features and gene expression. From a methodological point of view, radiogenomics takes advantage of non-conventional data analysis techniques that reveal meaningful information for decision-support in cancer diagnosis and treatment...
April 12, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28266556/integrative-diffusion-weighted-imaging-and-radiogenomic-network-analysis-of-glioblastoma-multiforme
#4
Dieter Henrik Heiland, Carl Philipp Simon-Gabriel, Theo Demerath, Gerrit Haaker, Dietmar Pfeifer, Elias Kellner, Valerij G Kiselev, Ori Staszewski, Horst Urbach, Astrid Weyerbrock, Irina Mader
In the past, changes of the Apparent Diffusion Coefficient in glioblastoma multiforme have been shown to be related to specific genes and described as being associated with survival. The purpose of this study was to investigate diffusion imaging parameters in combination with genome-wide expression data in order to obtain a comprehensive characterisation of the transcriptomic changes indicated by diffusion imaging parameters. Diffusion-weighted imaging, molecular and clinical data were collected prospectively in 21 patients...
March 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28185146/mr-imaging-features-associated-with-distant-metastasis-free-survival-of-patients-with-invasive-breast-cancer-a-case-control-study
#5
Sung Eun Song, Sung Ui Shin, Hyeong-Gon Moon, Han Suk Ryu, Kwangsoo Kim, Woo Kyung Moon
PURPOSE: Preoperative breast magnetic resonance (MR) imaging features of primary breast cancers may have the potential to act as prognostic biomarkers by providing morphologic and kinetic features representing inter- or intra-tumor heterogeneity. Recent radiogenomic studies reveal that several radiologist-annotated image features are associated with genes or signal pathways involved in tumor progression, treatment resistance, and distant metastasis (DM). We investigate whether preoperative breast MR imaging features are associated with worse DM-free survival in patients with invasive breast cancer...
February 9, 2017: Breast Cancer Research and Treatment
https://www.readbyqxmd.com/read/28139704/predictive-radiogenomics-modeling-of-egfr-mutation-status-in-lung-cancer
#6
Olivier Gevaert, Sebastian Echegaray, Amanda Khuong, Chuong D Hoang, Joseph B Shrager, Kirstin C Jensen, Gerald J Berry, H Henry Guo, Charles Lau, Sylvia K Plevritis, Daniel L Rubin, Sandy Napel, Ann N Leung
Molecular analysis of the mutation status for EGFR and KRAS are now routine in the management of non-small cell lung cancer. Radiogenomics, the linking of medical images with the genomic properties of human tumors, provides exciting opportunities for non-invasive diagnostics and prognostics. We investigated whether EGFR and KRAS mutation status can be predicted using imaging data. To accomplish this, we studied 186 cases of NSCLC with preoperative thin-slice CT scans. A thoracic radiologist annotated 89 semantic image features of each patient's tumor...
January 31, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28079715/from-k-space-to-nucleotide-insights-into-the-radiogenomics-of-brain-tumors
#7
Nabil Elshafeey, Islam Hassan, Pascal O Zinn, Rivka R Colen
Radiogenomics is a relatively new and exciting field within radiology that links different imaging features with diverse genomic events. Genomics advances provided by the Cancer Genome Atlas and the Human Genome Project have enabled us to harness and integrate this information with noninvasive imaging phenotypes to create a better 3-dimensional understanding of tumor behavior and biology. Beyond imaging-histopathology, imaging genomic linkages provide an important layer of complexity that can help in evaluating and stratifying patients into clinical trials, monitoring treatment response, and enhancing patient outcomes...
February 2017: Topics in Magnetic Resonance Imaging: TMRI
https://www.readbyqxmd.com/read/28079712/a-comprehensive-review-of-genomics-and-noncoding-rna-in-gliomas
#8
Ahmed Hassan, Jennifer Mosley, Sanjay Singh, Pascal Olivier Zinn
Glioblastoma (GBM) is the most malignant primary adult brain tumor. In spite of our greater understanding of the biology of GBMs, clinical outcome of GBM patients remains poor, as their median survival with best available treatment is 12 to 18 months. Recent efforts of The Cancer Genome Atlas (TCGA) have subgrouped patients into 4 molecular/transcriptional subgroups: proneural, neural, classical, and mesenchymal. Continuing efforts are underway to provide a comprehensive map of the heterogeneous makeup of GBM to include noncoding transcripts, genetic mutations, and their associations to clinical outcome...
February 2017: Topics in Magnetic Resonance Imaging: TMRI
https://www.readbyqxmd.com/read/28048816/mo-de-207b-05-predicting-gene-mutations-in-renal-cell-carcinoma-based-on-ct-imaging-features-validation-using-tcga-tcia-datasets
#9
X Chen, Z Zhou, K Thomas, J Wang
PURPOSE: The goal of this work is to investigate the use of contrast enhanced computed tomographic (CT) features for the prediction of mutations of BAP1, PBRM1, and VHL genes in renal cell carcinoma (RCC). METHODS: For this study, we used two patient databases with renal cell carcinoma (RCC). The first one consisted of 33 patients from our institution (UT Southwestern Medical Center, UTSW). The second one consisted of 24 patients from the Cancer Imaging Archive (TCIA), where each patient is connected by a unique identi?er to the tissue samples from the Cancer Genome Atlas (TCGA)...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048692/mo-fg-207b-01-thorax-lung
#10
H Aerts
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048236/su-f-r-01-preclinical-radioimmunogenomics-study-to-design-personalized-radiotherapy
#11
H Abdollahi
PURPOSE: Radiogenomics is an active area of research to find clinical correlation between genomics and radiotherapy outcomes. In this era, many different biological issues should be taken into account. In this study we aimed to introduce "Radioimmunogenomics" as a new approach to study immunogetics issue regard to radiotherapy induced clinical manifestations. METHODS: We studied different immunological pathways and signaling molecules which underling radiation response of normal and malignant tissues...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048031/mo-fg-207b-02-breast
#12
H Li
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047352/mo-fg-207b-03-brain
#13
P Tiwari
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047293/tu-b-207b-00-challenges-in-radiomics-and-big-data
#14
Karen Drukker
The general learning objectives are to get a better understanding of • The pitfalls along the radiomics/radiogenomics (imaging genomics) pipeline • The crucial role of statistics in the design and evaluation of radiomics/radiogenomics phenotypes and systems • The special challenges associated with big data 1. Introduction a. Basic statistical concepts b. Association, correlation, and causality c. Know when your numbers are significant 2. Reproducibility a. Replication studies i. The extent of the problem ii...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046682/mo-fg-207b-04-respond-to-therapy
#15
W Lu
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046637/mo-fg-207b-00-state-of-the-art-in-radiomics-in-radiology-and-radiation-oncology
#16
Maryellen Giger, Joseph Deasy
State-of-the-Art in Radiomics in Radiology and Radiation Oncology Radiomics is the science of converting medical images into mineable data, data that are descriptive of "phenotypes," which may provide diagnostic, prognostic, or therapeutic information. Genomics is the science of sequencing and analyzing the function and structure of genomes; the complete set of DNA in a single cell of an organism. In turn, imaging genomics (or radiogenomics) is concerned with the correlation between image-based features, as determined by radiomics, and gene expression, as determined by genomics...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046620/tu-b-207b-01-challenges-in-radiomics-and-big-data
#17
K Drukker
The general learning objectives are to get a better understanding of • The pitfalls along the radiomics/radiogenomics (imaging genomics) pipeline • The crucial role of statistics in the design and evaluation of radiomics/radiogenomics phenotypes and systems • The special challenges associated with big data 1. Introduction a. Basic statistical concepts b. Association, correlation, and causality c. Know when your numbers are significant 2. Reproducibility a. Replication studies i. The extent of the problem ii...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28012356/radiogenomic-evaluation-of-lung-cancer-are-there-imaging-characteristics-associated-with-lung-adenocarcinomas-harboring-braf-mutations
#18
Darragh F Halpenny, Andrew Plodkowski, Gregory Riely, Junting Zheng, Anya Litvak, Chaya Moscowitz, Michelle S Ginsberg
INTRODUCTION: We studied computed tomography (CT) features associated with BRAF mutated lung cancer. MATERIALS AND METHODS: CT features of BRAF mutated lung cancers were compared to stage matched lesions without BRAF mutation. RESULTS: 47 (25%) patients with BRAF mutation and 141 (75%) without BRAF mutation were included. BRAF lesions were most frequently solid 37 (84%), spiculated 22 (50%), and peripheral 37 (84%). No feature of the primary tumor was significantly different between BRAF and non-BRAF groups...
March 2017: Clinical Imaging
https://www.readbyqxmd.com/read/27979370/optimal-design-and-patient-selection-for-interventional-trials-using-radiogenomic-biomarkers-a-requite-and-radiogenomics-consortium-statement
#19
REVIEW
Dirk De Ruysscher, Gilles Defraene, Bram L T Ramaekers, Philippe Lambin, Erik Briers, Hilary Stobart, Tim Ward, Søren M Bentzen, Tjeerd Van Staa, David Azria, Barry Rosenstein, Sarah Kerns, Catharine West
The optimal design and patient selection for interventional trials in radiogenomics seem trivial at first sight. However, radiogenomics do not give binary information like in e.g. targetable mutation biomarkers. Here, the risk to develop severe side effects is continuous, with increasing incidences of side effects with higher doses and/or volumes. In addition, a multi-SNP assay will produce a predicted probability of developing side effects and will require one or more cut-off thresholds for classifying risk into discrete categories...
December 2016: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/27742114/shedding-light-on-the-2016-world-health-organization-classification-of-tumors-of-the-central-nervous-system-in-the-era-of-radiomics-and-radiogenomics
#20
REVIEW
Rivka R Colen, Islam Hassan, Nabil Elshafeey, Pascal O Zinn
The new World Health Organization classification of brain tumors depends on combining the histologic light microscopy features of central nervous system (CNS) tumors with canonical genetic alterations. This integrated diagnosis is redrawing the pedigree chart of brain tumors with rearrangement of tumor groups on the basis of geno-phenotypical behaviors into meaningful groups. Multiple radiogenomic studies provide a bridge between imaging features and tumor microenvironment. An overlap that can be integrated within the genophenotypical classification of CNS tumors for a better understanding of different clinically relevant entities...
November 2016: Magnetic Resonance Imaging Clinics of North America
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