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Radiogenomic

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https://www.readbyqxmd.com/read/29311558/radiogenomic-analysis-of-hypoxia-pathway-is-predictive-of-overall-survival-in-glioblastoma
#1
Niha Beig, Jay Patel, Prateek Prasanna, Virginia Hill, Amit Gupta, Ramon Correa, Kaustav Bera, Salendra Singh, Sasan Partovi, Vinay Varadan, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Hypoxia, a characteristic trait of Glioblastoma (GBM), is known to cause resistance to chemo-radiation treatment and is linked with poor survival. There is hence an urgent need to non-invasively characterize tumor hypoxia to improve GBM management. We hypothesized that (a) radiomic texture descriptors can capture tumor heterogeneity manifested as a result of molecular variations in tumor hypoxia, on routine treatment naïve MRI, and (b) these imaging based texture surrogate markers of hypoxia can discriminate GBM patients as short-term (STS), mid-term (MTS), and long-term survivors (LTS)...
January 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29311419/radiogenomics-of-hepatocellular-carcinoma-multiregion-analysis-based-identification-of-prognostic-imaging-biomarkers-by-integrating-gene-data-a-preliminary-study
#2
Wei Xia, Ying Chen, Rui Zhang, Zhuangzhi Yan, Xiaobo Zhou, Bo Zhang, Xin Gao
To identify prognostic imaging biomarkers for hepatocellular carcinoma (HCC) in contrast-enhanced computed tomography (CECT) with biological interpretations by associating imaging features and gene modules. We retrospectively analyzed 371 patients who had gene expression profiles. For the 38 patients with CECT imaging data, automatic intra-tumor partition was performed resulting in three spatially distinct subregions. We extracted totally 37 quantitative imaging features describing intensity, geometry, and texture from each subregion...
January 9, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29290259/radiomics-and-radiogenomics-in-lung-cancer-a-review-for-the-clinician
#3
REVIEW
Rajat Thawani, Michael McLane, Niha Beig, Soumya Ghose, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with delayed detection being perhaps the most significant factor for its high mortality rate. Though the National Lung Screening Trial argues for screening of certain at-risk populations, the practical implementation of these screening efforts has not yet been successful and remains in high demand. Radiomics refers to the computerized extraction of data from radiologic images, and provides unique potential for making lung cancer screening more rapid and accurate using machine learning algorithms...
January 2018: Lung Cancer: Journal of the International Association for the Study of Lung Cancer
https://www.readbyqxmd.com/read/29287972/the-patient-perspective-on-radiogenomics-testing-for-breast-radiation-toxicity
#4
T Rattay, R P Symonds, S Shokuhi, C J Talbot, J B Schnur
AIMS: In the field of radiogenomics, several potential predictive genetic markers have been identified that are associated with individual susceptibility to radiation toxicity. Predictive models of radiation toxicity incorporating radiogenomics and other biomarkers are being developed as part of the ongoing multicentre REQUITE trial. The purpose of this study was to explore patient attitudes towards future predictive radiogenomics testing for breast radiation toxicity. PATIENTS AND METHODS: Twenty-one semi-structured interviews were conducted with breast cancer patients taking part in the REQUITE study at one centre...
December 26, 2017: Clinical Oncology: a Journal of the Royal College of Radiologists
https://www.readbyqxmd.com/read/29229179/clinical-role-of-breast-mri-now-and-going-forward
#5
REVIEW
D Leithner, G J Wengert, T H Helbich, S Thakur, R E Ochoa-Albiztegui, E A Morris, K Pinker
Magnetic resonance imaging (MRI) is a well-established method in breast imaging, with manifold clinical applications, including the non-invasive differentiation between benign and malignant breast lesions, preoperative staging, detection of scar versus recurrence, implant assessment, and the evaluation of high-risk patients. At present, dynamic contrast-enhanced MRI is the most sensitive imaging technique for breast cancer diagnosis, and provides excellent morphological and to some extent also functional information...
December 8, 2017: Clinical Radiology
https://www.readbyqxmd.com/read/29155644/radiogenomics-map-a-novel-approach-for-noninvasive-identification-of-molecular-properties
#6
Sizhe Chen, Zhenyuan Ning, Xiaoshun He, Xiaolong Qi
No abstract text is available yet for this article.
December 2017: Radiology
https://www.readbyqxmd.com/read/29150191/-big-data-generalities-and-integration-in-radiotherapy
#7
C Le Fèvre, L Poty, G Noël
The many advances in data collection computing systems (data collection, database, storage), diagnostic and therapeutic possibilities are responsible for an increase and a diversification of available data. Big data offers the capacities, in the field of health, to accelerate the discoveries and to optimize the management of patients by combining a large volume of data and the creation of therapeutic models. In radiotherapy, the development of big data is attractive because data are very numerous et heterogeneous (demographics, radiomics, genomics, radiogenomics, etc...
November 14, 2017: Cancer Radiothérapie: Journal de la Société Française de Radiothérapie Oncologique
https://www.readbyqxmd.com/read/29095543/background-current-role-and-potential-applications-of-radiogenomics
#8
Katja Pinker, Fuki Shitano, Evis Sala, Richard K Do, Robert J Young, Andreas G Wibmer, Hedvig Hricak, Elizabeth J Sutton, Elizabeth A Morris
With the genomic revolution in the early 1990s, medical research has been driven to study the basis of human disease on a genomic level and to devise precise cancer therapies tailored to the specific genetic makeup of a tumor. To match novel therapeutic concepts conceived in the era of precision medicine, diagnostic tests must be equally sufficient, multilayered, and complex to identify the relevant genetic alterations that render cancers susceptible to treatment. With significant advances in training and medical imaging techniques, image analysis and the development of high-throughput methods to extract and correlate multiple imaging parameters with genomic data, a new direction in medical research has emerged...
November 2, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29056576/development-of-a-patient-specific-tumor-mold-using-mri-and-3d-printing-technology-for-targeted-tissue-procurement-and-radiomics-analysis-of-renal-masses
#9
Durgesh Kumar Dwivedi, Yonatan Chatzinoff, Yue Zhang, Qing Yuan, Michael Fulkerson, Rajiv Chopra, James Brugarolas, Jeffrey A Cadeddu, Payal Kapur, Ivan Pedrosa
OBJECTIVE: To implement a platform for co-localization of in vivo quantitative multi-parametric magnetic resonance imaging (mpMRI) features with ex vivo surgical specimens of patients with renal masses using patient-specific 3D-printed tumor molds, which may aid in targeted tissue procurement and radiomics/radiogenomic analyses. METHODS: Volumetric segmentation of 6 renal masses was performed with 3D Slicer (http://www.slicer.org) to create a three-dimensional (3D) tumor model...
October 19, 2017: Urology
https://www.readbyqxmd.com/read/29042619/diffusion-tensor-image-features-predict-idh-genotype-in-newly-diagnosed-who-grade-ii-iii-gliomas
#10
Paul Eichinger, Esther Alberts, Claire Delbridge, Stefano Trebeschi, Alexander Valentinitsch, Stefanie Bette, Thomas Huber, Jens Gempt, Bernhard Meyer, Juergen Schlegel, Claus Zimmer, Jan S Kirschke, Bjoern H Menze, Benedikt Wiestler
We hypothesized that machine learning analysis based on texture information from the preoperative MRI can predict IDH mutational status in newly diagnosed WHO grade II and III gliomas. This retrospective study included in total 79 consecutive patients with a newly diagnosed WHO grade II or III glioma. Local binary pattern texture features were generated from preoperative B0 and fractional anisotropy (FA) diffusion tensor imaging. Using a training set of 59 patients, a single hidden layer neural network was then trained on the texture features to predict IDH status...
October 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28981352/imaging-genetic-heterogeneity-in-glioblastoma-and-other-glial-tumors-review-of-current-methods-and-future-directions
#11
Daniel Chow, Peter Chang, Brent D Weinberg, Daniela A Bota, Jack Grinband, Christopher G Filippi
OBJECTIVE: The purpose of this review is to summarize advances in the molecular analysis of gliomas, the role genetics plays in MRI features, and how machine-learning approaches can be used to survey the tumoral environment. CONCLUSION: The genetic profile of gliomas influences the course of treatment and clinical outcomes. Though biopsy is the reference standard for determining tumor genetics, it can suffer diagnostic delays due to surgical planning and pathologic assessment...
January 2018: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/28945781/radiogenomics-of-neuroblastomas-relationships-between-imaging-phenotypes-tumor-genomic-profile-and-survival
#12
Hervé J Brisse, Thomas Blanc, Gudrun Schleiermacher, Véronique Mosseri, Pascale Philippe-Chomette, Isabelle Janoueix-Lerosey, Gaelle Pierron, Eve Lapouble, Michel Peuchmaur, Paul Fréneaux, Louise Galmiche, Nathalie Algret, Matthieu Peycelon, Jean Michon, Olivier Delattre, Sabine Sarnacki
PURPOSE: This study investigated relationships between neuroblastomas (NBs) imaging phenotypes, tumor genomic profile and patient outcome. PATIENTS AND METHODS: This IRB-approved retrospective observational study included 133 NB patients (73 M, 60 F; median age 15 months, range 0-151) treated in a single institution between 1998 and 2012. A consensus review of imaging (CT-scan, MRI) categorized tumors according to both the primarily involved compartment (i.e., neck, chest, abdomen or pelvis) and the sympathetic anatomical structure the tumors rose from (i...
2017: PloS One
https://www.readbyqxmd.com/read/28915902/development-and-clinical-application-of-radiomics-in-lung-cancer
#13
REVIEW
Bojiang Chen, Rui Zhang, Yuncui Gan, Lan Yang, Weimin Li
Since the discovery of X-rays at the end of the 19th century, medical imageology has progressed for 100 years, and medical imaging has become an important auxiliary tool for clinical diagnosis. With the launch of the human genome project (HGP) and the development of various high-throughput detection techniques, disease exploration in the post-genome era has extended beyond investigations of structural changes to in-depth analyses of molecular abnormalities in tissues, organs and cells, on the basis of gene expression and epigenetics...
September 15, 2017: Radiation Oncology
https://www.readbyqxmd.com/read/28889246/the-preliminary-radiogenomics-association-between-mr-perfusion-imaging-parameters-and-genomic-biomarkers-and-their-predictive-performance-of-overall-survival-in-patients-with-glioblastoma
#14
Xiang Liu, Rajiv Mangla, Wei Tian, Xing Qiu, Dongmei Li, Kevin A Walter, Sven Ekholm, Mahlon D Johnson
The radiogenomics association of neovascularization is important for overall survival (OS) in glioblastoma patients and remains unclear. The purpose of this study is to assess the association between MR perfusion imaging derived parameters and genomic biomarkers of glioblastoma, and to evaluate their prognostic value. This retrospective study enrolled 41 patients with newly diagnosed glioblastoma. The mean and maximal relative cerebral blood volume (rCBV) ratio (rCBVmean and rCBVmax), derived from MR perfusion weighted imaging, of the enhancing tumor, as well as maximal rCBV ratio of peri-enhancing tumor area (rCBVperi-tumor) were measured...
September 9, 2017: Journal of Neuro-oncology
https://www.readbyqxmd.com/read/28885890/qualitative-radiogenomics-association-between-oncotype-dx-test-recurrence-score-and-bi-rads-mammographic-and-breast-mr-imaging-features
#15
Genevieve A Woodard, Kimberly M Ray, Bonnie N Joe, Elissa R Price
Purpose To evaluate the association between Breast Imaging Reporting and Data System (BI-RADS) mammographic and magnetic resonance (MR) imaging features and breast cancer recurrence risk in patients with estrogen receptor-positive breast cancer who underwent the Oncotype DX assay. Materials and Methods In this institutional review board-approved and HIPAA-compliant protocol, 408 patients diagnosed with invasive breast cancer between 2004 and 2013 who underwent the Oncotype DX assay were identified. Mammographic and MR imaging features were retrospectively collected according to the BI-RADS lexicon...
September 8, 2017: Radiology
https://www.readbyqxmd.com/read/28872634/advancing-the-cancer-genome-atlas-glioma-mri-collections-with-expert-segmentation-labels-and-radiomic-features
#16
Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello, Martin Rozycki, Justin S Kirby, John B Freymann, Keyvan Farahani, Christos Davatzikos
Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies, including radiomic and radiogenomic analyses. Towards this end, we release segmentation labels and radiomic features for all pre-operative multimodal magnetic resonance imaging (MRI) (n=243) of the multi-institutional glioma collections of The Cancer Genome Atlas (TCGA), publicly available in The Cancer Imaging Archive (TCIA)...
September 5, 2017: Scientific Data
https://www.readbyqxmd.com/read/28865512/radiogenomics-identification-of-genomic-predictors-for-radiation-toxicity
#17
REVIEW
Barry S Rosenstein
The overall goal of radiogenomics is the identification of genomic markers that are predictive for the development of adverse effects resulting from cancer treatment with radiation. The principal rationale for a focus on toxicity in radiogenomics is that for many patients treated with radiation, especially individuals diagnosed with early-stage cancers, the survival rates are high, and therefore a substantial number of people will live for a significant period of time beyond treatment. However, many of these patients could suffer from debilitating complications resulting from radiotherapy...
October 2017: Seminars in Radiation Oncology
https://www.readbyqxmd.com/read/28804537/an-integrated-approach-to-coronary-heart-disease-diagnosis-and-clinical-management
#18
REVIEW
Teresa Infante, Ernesto Forte, Concetta Schiano, Carlo Cavaliere, Carlo Tedeschi, Andrea Soricelli, Marco Salvatore, Claudio Napoli
The major issue in coronary heart disease (CHD) diagnosis and management is that symptoms onset in an advanced state of disease. Despite the availability of several clinical risk scores, the prediction of cardiovascular events is lacking, and many patients at risk are not well stratified according to the canonical risk factors alone. Therefore, adequate risk assessment remains the most challenging issue. Recently, the integration of imaging data with biochemical markers in a radiogenomic framework has been proposed in many fields of medicine as well as in cardiology...
2017: American Journal of Translational Research
https://www.readbyqxmd.com/read/28755054/mri-features-can-predict-egfr-expression-in-lower-grade-gliomas-a-voxel-based-radiomic-analysis
#19
Yiming Li, Xing Liu, Kaibin Xu, Zenghui Qian, Kai Wang, Xing Fan, Shaowu Li, Yinyan Wang, Tao Jiang
OBJECTIVE: To identify the magnetic resonance imaging (MRI) features associated with epidermal growth factor (EGFR) expression level in lower grade gliomas using radiomic analysis. METHODS: 270 lower grade glioma patients with known EGFR expression status were randomly assigned into training (n=200) and validation (n=70) sets, and were subjected to feature extraction. Using a logistic regression model, a signature of MRI features was identified to be predictive of the EGFR expression level in lower grade gliomas in the training set, and the accuracy of prediction was assessed in the validation set...
July 28, 2017: European Radiology
https://www.readbyqxmd.com/read/28727543/non-small-cell-lung-cancer-radiogenomics-map-identifies-relationships-between-molecular-and-imaging-phenotypes-with-prognostic-implications
#20
Mu Zhou, Ann Leung, Sebastian Echegaray, Andrew Gentles, Joseph B Shrager, Kristin C Jensen, Gerald J Berry, Sylvia K Plevritis, Daniel L Rubin, Sandy Napel, Olivier Gevaert
Purpose To create a radiogenomic map linking computed tomographic (CT) image features and gene expression profiles generated by RNA sequencing for patients with non-small cell lung cancer (NSCLC). Materials and Methods A cohort of 113 patients with NSCLC diagnosed between April 2008 and September 2014 who had preoperative CT data and tumor tissue available was studied. For each tumor, a thoracic radiologist recorded 87 semantic image features, selected to reflect radiologic characteristics of nodule shape, margin, texture, tumor environment, and overall lung characteristics...
July 20, 2017: Radiology
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