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https://www.readbyqxmd.com/read/28723484/update-on-radiogenomics-of-clear-cell-renal-cell-carcinoma
#1
Francesco Alessandrino, Katherine M Krajewski, Atul B Shinagare
The goal of radiogenomics is to associate imaging features with gene expression pattern and correlate these features with clinical outcomes. Radiogenomics, by overcoming the histologic heterogeneity of clear cell renal cell carcinoma, has the potential to reflect tumor biology and predict prognosis.
December 15, 2016: European Urology Focus
https://www.readbyqxmd.com/read/28723287/advanced-renal-cell-carcinoma-role-of-the-radiologist-in-the-era-of-precision-medicine
#2
Atul B Shinagare, Katherine M Krajewski, Marta Braschi-Amirfarzan, Nikhil H Ramaiya
For the past decade, advanced renal cell carcinoma (RCC) has been at the forefront of oncologic innovation. Our rapidly evolving understanding of the molecular and genetic basis of RCC has revolutionized the management of advanced RCC; 10 novel molecular targeted agents and immune checkpoint inhibitor have received U.S. Food and Drug Administration approval for treatment of advanced RCC in a little over a decade. Amid this progress, imaging has assumed a central role in metastatic surveillance and follow-up of advanced RCC...
August 2017: Radiology
https://www.readbyqxmd.com/read/28723281/imaging-correlates-of-adult-glioma-genotypes
#3
Marion Smits, Martin J van den Bent
Primary brain tumors, most commonly gliomas, are histopathologically typed and graded as World Health Organization (WHO) grades I-IV according to increasing degrees of malignancy. These grades provide prognostic information and guidance on treatment such as radiation therapy and chemotherapy after surgery. Despite the confirmed value of the WHO grading system, results of a multitude of studies and prospective interventional trials now indicate that tumors with identical morphologic criteria can have highly different outcomes...
August 2017: Radiology
https://www.readbyqxmd.com/read/28717412/diffusion-magnetic-resonance-imaging-a-molecular-imaging-tool-caught-between-hope-hype-and-the-real-world-of-personalized-oncology
#4
REVIEW
Abhishek Mahajan, Sneha S Deshpande, Meenakshi H Thakur
"Personalized oncology" is a multi-disciplinary science, which requires inputs from various streams for optimal patient management. Humongous progress in the treatment modalities available and the increasing need to provide functional information in addition to the morphological data; has led to leaping progress in the field of imaging. Magnetic resonance imaging has undergone tremendous progress with various newer MR techniques providing vital functional information and is becoming the cornerstone of "radiomics/radiogenomics"...
June 28, 2017: World Journal of Radiology
https://www.readbyqxmd.com/read/28708462/heterogeneous-enhancement-patterns-of-tumor-adjacent-parenchyma-at-mr-imaging-are-associated-with-dysregulated-signaling-pathways-and-poor-survival-in-breast-cancer
#5
Jia Wu, Bailiang Li, Xiaoli Sun, Guohong Cao, Daniel L Rubin, Sandy Napel, Debra M Ikeda, Allison W Kurian, Ruijiang Li
Purpose To identify the molecular basis of quantitative imaging characteristics of tumor-adjacent parenchyma at dynamic contrast material-enhanced magnetic resonance (MR) imaging and to evaluate their prognostic value in breast cancer. Materials and Methods In this institutional review board-approved, HIPAA-compliant study, 10 quantitative imaging features depicting tumor-adjacent parenchymal enhancement patterns were extracted and screened for prognostic features in a discovery cohort of 60 patients. By using data from The Cancer Genome Atlas (TCGA), a radiogenomic map for the tumor-adjacent parenchymal tissue was created and molecular pathways associated with prognostic parenchymal imaging features were identified...
July 14, 2017: Radiology
https://www.readbyqxmd.com/read/28687979/-radio-oncomics-the-potential-of-radiomics-in-radiation-oncology
#6
Jan Caspar Peeken, Fridtjof Nüsslin, Stephanie E Combs
INTRODUCTION: Radiomics, a recently introduced concept, describes quantitative computerized algorithm-based feature extraction from imaging data including computer tomography (CT), magnetic resonance imaging (MRT), or positron-emission tomography (PET) images. For radiation oncology it offers the potential to significantly influence clinical decision-making and thus therapy planning and follow-up workflow. METHODS: After image acquisition, image preprocessing, and defining regions of interest by structure segmentation, algorithms are applied to calculate shape, intensity, texture, and multiscale filter features...
July 7, 2017: Strahlentherapie und Onkologie: Organ der Deutschen Röntgengesellschaft ... [et Al]
https://www.readbyqxmd.com/read/28657906/radiogenomics-and-radiotherapy-response-modeling
#7
Issam El Naqa, Sarah L Kerns, James Coates, Yi Luo, Corey Speers, Catharine M L West, Barry S Rosenstein, Randall K Ten Haken
Advances in patient-specific information and biotechnology have contributed to a new era of computational medicine. Radiogenomics has emerged as a new field that investigates the role of genetics in treatment response to radiation therapy. Radiation oncology is currently attempting to embrace these recent advances and add to its rich history by maintaining its prominent role as a quantitative leader in oncologic response modeling. Here, we provide an overview of radiogenomics starting with genotyping, data aggregation, and application of different modeling approaches based on modifying traditional radiobiological methods or application of advanced machine learning techniques...
June 28, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28641043/radiogenomics-of-high-grade-serous-ovarian-cancer-multireader-multi-institutional-study-from-the-cancer-genome-atlas-ovarian-cancer-imaging-research-group
#8
Hebert Alberto Vargas, Erich P Huang, Yulia Lakhman, Joseph E Ippolito, Priya Bhosale, Vincent Mellnick, Atul B Shinagare, Maria Anello, Justin Kirby, Brenda Fevrier-Sullivan, John Freymann, C Carl Jaffe, Evis Sala
Purpose To evaluate interradiologist agreement on assessments of computed tomography (CT) imaging features of high-grade serous ovarian cancer (HGSOC), to assess their associations with time-to-disease progression (TTP) and HGSOC transcriptomic profiles (Classification of Ovarian Cancer [CLOVAR]), and to develop an imaging-based risk score system to predict TTP and CLOVAR profiles. Materials and Methods This study was a multireader, multi-institutional, institutional review board-approved, HIPAA-compliant retrospective analysis of 92 patients with HGSOC (median age, 61 years) with abdominopelvic CT before primary cytoreductive surgery available through the Cancer Imaging Archive...
June 22, 2017: Radiology
https://www.readbyqxmd.com/read/28596154/3d-printed-pathological-sectioning-boxes-to-facilitate-radiological-pathological-correlation-in-hepatectomy-cases
#9
Andrew T Trout, Matthew R Batie, Anita Gupta, Rachel M Sheridan, Gregory M Tiao, Alexander J Towbin
Radiogenomics promises to identify tumour imaging features indicative of genomic or proteomic aberrations that can be therapeutically targeted allowing precision personalised therapy. An accurate radiological-pathological correlation is critical to the process of radiogenomic characterisation of tumours. An accurate correlation, however, is difficult to achieve with current pathological sectioning techniques which result in sectioning in non-standard planes. The purpose of this work is to present a technique to standardise hepatic sectioning to facilitateradiological-pathological correlation...
June 8, 2017: Journal of Clinical Pathology
https://www.readbyqxmd.com/read/28470431/radiogenomics-of-lower-grade-glioma-algorithmically-assessed-tumor-shape-is-associated-with-tumor-genomic-subtypes-and-patient-outcomes-in-a-multi-institutional-study-with-the-cancer-genome-atlas-data
#10
Maciej A Mazurowski, Kal Clark, Nicholas M Czarnek, Parisa Shamsesfandabadi, Katherine B Peters, Ashirbani Saha
Recent studies identified distinct genomic subtypes of lower-grade gliomas that could potentially be used to guide patient treatment. This study aims to determine whether there is an association between genomics of lower-grade glioma tumors and patient outcomes using algorithmic measurements of tumor shape in magnetic resonance imaging (MRI). We analyzed preoperative imaging and genomic subtype data from 110 patients with lower-grade gliomas (WHO grade II and III) from The Cancer Genome Atlas. Computer algorithms were applied to analyze the imaging data and provided five quantitative measurements of tumor shape in two and three dimensions...
May 3, 2017: Journal of Neuro-oncology
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
#11
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...
July 2017: Radiology
https://www.readbyqxmd.com/read/28418819/cancer-genomics-and-important-oncologic-mutations-a-contemporary-guide-for-body-imagers
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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