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Radiomics

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https://www.readbyqxmd.com/read/27904837/positron-emission-tomography-computerized-tomography-for-tumor-response-assessment-a-review-of-clinical-practices-and-radiomics-studies
#1
Wei Lu, Wengen Chen
Even with recent advances in cancer diagnosis and therapy, treatment outcomes for many cancers remain dismal. Patients often show different response to the same therapy regimen, supporting the development of personalized medicine. 18F-FDG PET/CT has been used routinely in the assessment of tumor response, in prediction of outcomes, and in guiding personalized treatment. These assessments are mainly based on physician's subjective or semi-quantitative evaluation. Recent development in Radiomics provides a promising objective way for tumor response assessment, which uses computerized tools to extract a large number of image features that capture additional information not currently used in clinic that has prognostic value...
August 2016: Translational Cancer Research
https://www.readbyqxmd.com/read/27903462/radiomic-based-pathological-response-prediction-from-primary-tumors-and-lymph-nodes-in-nsclc
#2
Thibaud P Coroller, Vishesh Agrawal, Elizabeth Huynh, Vivek Narayan, Stephanie W Lee, Raymond H Mak, Hugo J W L Aerts
INTRODUCTION: Non-invasive biomarkers that capture the total tumor burden could provide important complementary information for precision medicine to aid clinical decision-making. We investigated the value of radiomic data, extracted from pre-treatment computed tomography (CT) images of the primary tumor and lymph nodes, in predicting pathological response following neoadjuvant chemoradiation prior to surgery. METHODS: Eighty-five patients with resectable locally-advanced (stage II-III) non-small cell lung cancer (NSCLC) (median age: 60...
November 26, 2016: Journal of Thoracic Oncology
https://www.readbyqxmd.com/read/27893446/stability-of-radiomic-features-in-ct-perfusion-maps
#3
M Bogowicz, O Riesterer, R A Bundschuh, P Veit-Haibach, M Hüllner, G Studer, S Stieb, S Glatz, M Pruschy, M Guckenberger, S Tanadini-Lang
This study aimed to identify a set of stable radiomic parameters in CT perfusion (CTP) maps with respect to CTP calculation factors and image discretization, as an input for future prognostic models for local tumor response to chemo-radiotherapy. Pre-treatment CTP images of eleven patients with oropharyngeal carcinoma and eleven patients with non-small cell lung cancer (NSCLC) were analyzed. 315 radiomic parameters were studied per perfusion map (blood volume, blood flow and mean transit time). Radiomics robustness was investigated regarding the potentially standardizable (image discretization method, Hounsfield unit (HU) threshold, voxel size and temporal resolution) and non-standardizable (artery contouring and noise threshold) perfusion calculation factors using the intraclass correlation (ICC)...
November 28, 2016: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/27893377/high-performance-cad-ctc-scheme-using-shape-index-multiscale-enhancement-filters-and-radiomic-features
#4
Yacheng Ren, Jingchen Ma, Junfeng Xiong, Lin Lu, Jun Zhao
OBJECTIVE: Computer-aided detection (CAD) systems for computed tomography colonography (CTC) can automatically detect colorectal polyps. The main problem of currently developed CAD-CTC systems is the numerous false positives (FPs) caused by the existence of complicated colon structures (e.g., haustral fold, residual fecal material, inflation tube, and ileocecal valve). This study proposes a CAD-CTC scheme using shape index, multiscale enhancement filters, and radiomic features to address the FP issue...
November 22, 2016: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/27885836/texture-analysis-of-medical-images-for-radiotherapy-applications
#5
Elisa Scalco, Giovanna Rizzo
The high-throughput extraction of quantitative information from medical images, known as radiomics, has grown in interest due to the current necessity of quantitatively characterise tumour heterogeneity. In this context, texture analysis, consisting of a variety of mathematical techniques able to describe the grey-level patterns of an image, plays an important role in assessing the spatial organisation of different tissues and organs. For these reasons, the potentiality of texture analysis in the context of radiotherapy has been widely investigated in several studies, especially for the prediction of the treatment response of tumour and normal tissues...
November 25, 2016: British Journal of Radiology
https://www.readbyqxmd.com/read/27880938/pathologic-stratification-of-operable-lung-adenocarcinoma-using-radiomics-features-extracted-from-dual-energy-ct-images
#6
Jung Min Bae, Ji Yun Jeong, Ho Yun Lee, Insuk Sohn, Hye Seung Kim, Ji Ye Son, O Jung Kwon, Joon Young Choi, Kyung Soo Lee, Young Mog Shim
PURPOSE: To evaluate the usefulness of surrogate biomarkers as predictors of histopathologic tumor grade and aggressiveness using radiomics data from dual-energy computed tomography (DECT), with the ultimate goal of accomplishing stratification of early-stage lung adenocarcinoma for optimal treatment. RESULTS: Pathologic grade was divided into grades 1, 2, and 3. Multinomial logistic regression analysis revealed i-uniformity and 97.5th percentile CT attenuation value as independent significant factors to stratify grade 2 or 3 from grade 1...
November 21, 2016: Oncotarget
https://www.readbyqxmd.com/read/27872606/an-exploratory-study-to-detect-m%C3%A3-ni%C3%A3-re-s-disease-in-conventional-mri-scans-using-radiomics
#7
E L van den Burg, M van Hoof, A A Postma, A M L Janssen, R J Stokroos, H Kingma, R van de Berg
OBJECTIVE: The purpose of this exploratory study was to investigate whether a quantitative image analysis of the labyrinth in conventional magnetic resonance imaging (MRI) scans using a radiomics approach showed differences between patients with Ménière's disease (MD) and the control group. MATERIALS AND METHODS: In this retrospective study, MRI scans of the affected labyrinths of 24 patients with MD were compared to the MRI scans of labyrinths of 29 patients with an idiopathic asymmetrical sensorineural hearing loss...
2016: Frontiers in Neurology
https://www.readbyqxmd.com/read/27872484/co-occurrence-of-local-anisotropic-gradient-orientations-collage-a-new-radiomics-descriptor
#8
Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi
In this paper, we introduce a new radiomic descriptor, Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe) for capturing subtle differences between benign and pathologic phenotypes which may be visually indistinguishable on routine anatomic imaging. CoLlAGe seeks to capture and exploit local anisotropic differences in voxel-level gradient orientations to distinguish similar appearing phenotypes. CoLlAGe involves assigning every image voxel an entropy value associated with the co-occurrence matrix of gradient orientations computed around every voxel...
November 22, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27853813/radiation-injury-vs-recurrent-brain-metastasis-combining-textural-feature-radiomics-analysis-and-standard-parameters-may-increase-18-f-fet-pet-accuracy-without-dynamic-scans
#9
Philipp Lohmann, Gabriele Stoffels, Garry Ceccon, Marion Rapp, Michael Sabel, Christian P Filss, Marcel A Kamp, Carina Stegmayr, Bernd Neumaier, Nadim J Shah, Karl-Josef Langen, Norbert Galldiks
OBJECTIVES: We investigated the potential of textural feature analysis of O-(2-[(18)F]fluoroethyl)-L-tyrosine ((18)F-FET) PET to differentiate radiation injury from brain metastasis recurrence. METHODS: Forty-seven patients with contrast-enhancing brain lesions (n = 54) on MRI after radiotherapy of brain metastases underwent dynamic (18)F-FET PET. Tumour-to-brain ratios (TBRs) of (18)F-FET uptake and 62 textural parameters were determined on summed images 20-40 min post-injection...
November 16, 2016: European Radiology
https://www.readbyqxmd.com/read/27853751/quantitative-mri-radiomics-in-the-prediction-of-molecular-classifications-of-breast-cancer-subtypes-in-the-tcga-tcia-data-set
#10
Hui Li, Yitan Zhu, Elizabeth S Burnside, Erich Huang, Karen Drukker, Katherine A Hoadley, Cheng Fan, Suzanne D Conzen, Margarita Zuley, Jose M Net, Elizabeth Sutton, Gary J Whitman, Elizabeth Morris, Charles M Perou, Yuan Ji, Maryellen L Giger
Using quantitative radiomics, we demonstrate that computer-extracted magnetic resonance (MR) image-based tumor phenotypes can be predictive of the molecular classification of invasive breast cancers. Radiomics analysis was performed on 91 MRIs of biopsy-proven invasive breast cancers from National Cancer Institute's multi-institutional TCGA/TCIA. Immunohistochemistry molecular classification was performed including estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and for 84 cases, the molecular subtype (normal-like, luminal A, luminal B, HER2-enriched, and basal-like)...
2016: NPJ Breast Cancer
https://www.readbyqxmd.com/read/27829431/radiomics-based-targeted-radiotherapy-planning-rad-trap-a-computational-framework-for-prostate-cancer-treatment-planning-with-mri
#11
Rakesh Shiradkar, Tarun K Podder, Ahmad Algohary, Satish Viswanath, Rodney J Ellis, Anant Madabhushi
BACKGROUND: Radiomics or computer - extracted texture features have been shown to achieve superior performance than multiparametric MRI (mpMRI) signal intensities alone in targeting prostate cancer (PCa) lesions. Radiomics along with deformable co-registration tools can be used to develop a framework to generate targeted focal radiotherapy treatment plans. METHODS: The Rad-TRaP framework comprises three distinct modules. Firstly, a module for radiomics based detection of PCa lesions on mpMRI via a feature enabled machine learning classifier...
November 10, 2016: Radiation Oncology
https://www.readbyqxmd.com/read/27819077/mechanically-induced-cis-to-trans-isomerization-of-carbon-carbon-double-bonds-using-atomic-force-microscopy
#12
Milad Radiom, Phally Kong, Plinio Maroni, Mark Schäfer, Andreas F M Kilbinger, Michal Borkovec
Cis-to-trans isomerization of carbon-carbon double bonds can be induced by the application of mechanical force. Using single molecule force spectroscopy by means of atomic force microscopy (AFM) we pulled polymer molecules which contained cis double bonds in the backbone. In the force versus extension profiles of these polymers, a sudden extension increase is observed which is due to the conversion of shorter cis isomers into longer trans isomers. The added length to the polymer results in relaxation in probed force...
November 16, 2016: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/27811126/radiomics-in-pet-ct-more-than-meets-the-eye
#13
Mathieu Hatt, Florent Tixier, Dimitris Visvikis, Catherine Cheze Le Rest
No abstract text is available yet for this article.
November 3, 2016: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
https://www.readbyqxmd.com/read/27807748/medical-imaging-informatics
#14
William Hsu, Suzie El-Saden, Ricky K Taira
Imaging is one of the most important sources of clinically observable evidence that provides broad coverage, can provide insight on low-level scale properties, is noninvasive, has few side effects, and can be performed frequently. Thus, imaging data provides a viable observable that can facilitate the instantiation of a theoretical understanding of a disease for a particular patient context by connecting imaging findings to other biologic parameters in the model (e.g., genetic, molecular, symptoms, and patient survival)...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27803067/large-scale-radiomic-profiling-of-recurrent-glioblastoma-identifies-an-imaging-predictor-for-stratifying-anti-angiogenic-treatment-response
#15
Philipp Kickingereder, Michael Götz, John Muschelli, Antje Wick, Ulf Neuberger, Russell T Shinohara, Martin Sill, Martha Nowosielski, Heinz-Peter Schlemmer, Alexander Radbruch, Wolfgang Wick, Martin Bendszus, Klaus H Maier-Hein, David Bonekamp
PURPOSE: Antiangiogenic treatment with bevacizumab, a mAb to the VEGF, is the single most widely used therapeutic agent for patients with recurrent glioblastoma. A major challenge is that there are currently no validated biomarkers that can predict treatment outcome. Here we analyze the potential of radiomics, an emerging field of research that aims to utilize the full potential of medical imaging. EXPERIMENTAL DESIGN: A total of 4,842 quantitative MRI features were automatically extracted and analyzed from the multiparametric tumor of 172 patients (allocated to a discovery and validation set with a 2:1 ratio) with recurrent glioblastoma prior to bevacizumab treatment...
October 10, 2016: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
https://www.readbyqxmd.com/read/27778090/radiomic-features-from-the-peritumoral-brain-parenchyma-on-treatment-na%C3%A3-ve-multi-parametric-mr-imaging-predict-long-versus-short-term-survival-in-glioblastoma-multiforme-preliminary-findings
#16
Prateek Prasanna, Jay Patel, Sasan Partovi, Anant Madabhushi, Pallavi Tiwari
OBJECTIVE: Despite 90 % of glioblastoma (GBM) recurrences occurring in the peritumoral brain zone (PBZ), its contribution in patient survival is poorly understood. The current study leverages computerized texture (i.e. radiomic) analysis to evaluate the efficacy of PBZ features from pre-operative MRI in predicting long- (>18 months) versus short-term (<7 months) survival in GBM. METHODS: Sixty-five patient examinations (29 short-term, 36 long-term) with gadolinium-contrast T1w, FLAIR and T2w sequences from the Cancer Imaging Archive were employed...
October 24, 2016: European Radiology
https://www.readbyqxmd.com/read/27774518/magnetic-resonance-imaging-based-radiomic-profiles-predict-patient-prognosis-in-newly-diagnosed-glioblastoma-before-therapy
#17
Sean D McGarry, Sarah L Hurrell, Amy L Kaczmarowski, Elizabeth J Cochran, Jennifer Connelly, Scott D Rand, Kathleen M Schmainda, Peter S LaViolette
Magnetic resonance imaging (MRI) is used to diagnose and monitor brain tumors. Extracting additional information from medical imaging and relating it to a clinical variable of interest is broadly defined as radiomics. Here, multiparametric MRI radiomic profiles (RPs) of de novo glioblastoma (GBM) brain tumors is related with patient prognosis. Clinical imaging from 81 patients with GBM before surgery was analyzed. Four MRI contrasts were aligned, masked by margins defined by gadolinium contrast enhancement and T2/fluid attenuated inversion recovery hyperintensity, and contoured based on image intensity...
September 2016: Tomography: a Journal for Imaging Research
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
#18
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
https://www.readbyqxmd.com/read/27742112/radiomics-in-brain-tumors-an-emerging-technique-for-characterization-of-tumor-environment
#19
Aikaterini Kotrotsou, Pascal O Zinn, Rivka R Colen
The role of radiomics in the diagnosis, monitoring, and therapy planning of brain tumors is becoming increasingly clear. Incorporation of quantitative approaches in radiology, in combination with increased computer power, offers unique insights into macroscopic tumor characteristics and their direct association with the underlying pathophysiology. This article presents the most recent findings in radiomics and radiogenomics with respect to identifying potential imaging biomarkers with prognostic value that can lead to individualized therapy...
November 2016: Magnetic Resonance Imaging Clinics of North America
https://www.readbyqxmd.com/read/27742105/unravelling-tumour-heterogeneity-using-next-generation-imaging-radiomics-radiogenomics-and-habitat-imaging
#20
E Sala, E Mema, Y Himoto, H Veeraraghavan, J D Brenton, A Snyder, B Weigelt, H A Vargas
Tumour heterogeneity in cancers has been observed at the histological and genetic levels, and increased levels of intra-tumour genetic heterogeneity have been reported to be associated with adverse clinical outcomes. This review provides an overview of radiomics, radiogenomics, and habitat imaging, and examines the use of these newly emergent fields in assessing tumour heterogeneity and its implications. It reviews the potential value of radiomics and radiogenomics in assisting in the diagnosis of cancer disease and determining cancer aggressiveness...
October 11, 2016: Clinical Radiology
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