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Radiomics

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https://www.readbyqxmd.com/read/28079714/radiomic-phenotyping-in-brain-cancer-to-unravel-hidden-information-in-medical-images
#1
Srishti Abrol, Aikaterini Kotrotsou, Ahmed Salem, Pascal O Zinn, Rivka R Colen
Radiomics is a new area of research in the field of imaging with tremendous potential to unravel the hidden information in digital images. The scope of radiology has grown exponentially over the last two decades; since the advent of radiomics, many quantitative imaging features can now be extracted from medical images through high-throughput computing, and these can be converted into mineable data that can help in linking imaging phenotypes with clinical data, genomics, proteomics, and other "omics" information...
January 11, 2017: Topics in Magnetic Resonance Imaging: TMRI
https://www.readbyqxmd.com/read/28079702/radiomic-analysis-reveals-prognostic-information-in-t1-weighted-baseline-magnetic-resonance-imaging-in-patients-with-glioblastoma
#2
Michael Ingrisch, Moritz Jörg Schneider, Dominik Nörenberg, Giovanna Negrao de Figueiredo, Klaus Maier-Hein, Bogdana Suchorska, Ulrich Schüller, Nathalie Albert, Hartmut Brückmann, Maximilian Reiser, Jörg-Christian Tonn, Birgit Ertl-Wagner
OBJECTIVES: The aim of this study was to investigate whether radiomic analysis with random survival forests (RSFs) can predict overall survival from T1-weighted contrast-enhanced baseline magnetic resonance imaging (MRI) scans in a cohort of glioblastoma multiforme (GBM) patients with uniform treatment. MATERIALS AND METHODS: This retrospective study was approved by the institutional review board and informed consent was waived. The MRI scans from 66 patients with newly diagnosed GBM from a previous prospective study were analyzed...
January 9, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28056889/dimensionality-reduction-based-fusion-approaches-for-imaging-and-non-imaging-biomedical-data-concepts-workflow-and-use-cases
#3
Satish E Viswanath, Pallavi Tiwari, George Lee, Anant Madabhushi
BACKGROUND: With a wide array of multi-modal, multi-protocol, and multi-scale biomedical data being routinely acquired for disease characterization, there is a pressing need for quantitative tools to combine these varied channels of information. The goal of these integrated predictors is to combine these varied sources of information, while improving on the predictive ability of any individual modality. A number of application-specific data fusion methods have been previously proposed in the literature which have attempted to reconcile the differences in dimensionalities and length scales across different modalities...
January 5, 2017: BMC Medical Imaging
https://www.readbyqxmd.com/read/28048922/mo-de-207b-09-a-consistent-test-for-radiomics-softwares
#4
J Gan, J Wang, H Zhong, R Luo, Z Zhou, P Hu, L Shen, Z Zhang
PURPOSE: The purpose of this study is to investigate the consistency of the features extracted by different radiomics software. METHODS: CT sets of 212 patients with rectum tumor and three existing radiomics feature extraction tools (IBEX from MD_Anderson, RADIOMICS from Maastro, and a MATLAB based code-set from our institution) were enrolled in this study. Among thousands of features that were extracted by three softwares, 273 (between our codes and RADIOMICS), 51 (between IBEX and RADIOMICS) and 34 (between our codes and IBEX) feature pairs were proven to be conjugated according to feature definition...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048907/su-f-r-46-predicting-distant-failure-in-lung-sbrt-using-multi-objective-radiomics-model
#5
Z Zhou, M Folkert, P Iyengar, Y Zhang, J Wang
PURPOSE: To predict distant failure in lung stereotactic body radiation therapy (SBRT) in early stage non-small cell lung cancer (NSCLC) by using a new multi-objective radiomics model. METHODS: Currently, most available radiomics models use the overall accuracy as the objective function. However, due to data imbalance, a single object may not reflect the performance of a predictive model. Therefore, we developed a multi-objective radiomics model which considers both sensitivity and specificity as the objective functions simultaneously...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048895/mo-a-207b-01-radiomics-segmentation-feature-extraction-techniques
#6
H Veeraraghavan
: Image segmentation is one of the core problems for applying radiomics-based analysis to images. However, achieving repeatable and accurate segmentations for large datasets is challenging. The choice of segmentation method, the metrics used to evaluate the quality of such segmentations all depend on the specific clinical problem. This course will introduce three approaches, namely, fully automatic, interactive, and semi-automatic methods for generating segmentations. The pros and cons of each approach and when to choose a specific method will be discussed...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048862/th-e-202-02-the-use-of-hypoxia-pet-imaging-for-radiotherapy
#7
J Humm
: PET/CT is a very important imaging tool in the management of oncology patients. PET/CT has been applied for treatment planning and response evaluation in radiation therapy. This educational session will discuss: 1. Pitfalls and remedies in PET/CT imaging for RT planning 2. The use of hypoxia PET imaging for radiotherapy 3. PET for tumor response evaluation The first presentation will address the issue of mis-registration between the CT and PET images in the thorax and the abdomen. We will discuss the challenges of respiratory gating and introduce an average CT technique to improve the registration for dose calculation and image-guidance in radiation therapy...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048842/su-f-r-18-updates-to-the-computational-environment-for-radiological-research-for-image-analysis
#8
Aditya P Apte, Joseph O Deasy
PURPOSE: To present new tools in CERR for Texture Analysis and Visualization. METHOD: (1) Quantitative Image Analysis: We added the ability to compute Haralick texture features based on local neighbourhood. The Texture features depend on many parameters used in their derivation. For example: (a) directionality, (b) quantization of image, (c) patch-size for the neighborhood, (d) handling of the edge voxels within the region of interest, (e) Averaging co-occurance matrix vs texture features for different directions etc...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048830/su-f-r-53-ct-based-radiomics-analysis-of-non-small-cell-lung-cancer-patients-treated-with-stereotactic-body-radiation-therapy
#9
E Huynh, T Coroller, V Narayan, V Agrawal, Y Hou, J Romano, I Franco, R Mak, H Aerts
PURPOSE: Stereotactic body radiation therapy (SBRT) is the standard of care for medically inoperable non-small cell lung cancer (NSCLC) patients and has demonstrated excellent local control and survival. However, some patients still develop distant metastases and local recurrence, and therefore, there is a clinical need to identify patients at high-risk of disease recurrence. The aim of the current study is to use a radiomics approach to identify imaging biomarkers, based on tumor phenotype, for clinical outcomes in SBRT patients...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048805/su-f-r-42-association-of-radiomic-and-metabolic-tumor-volumes-in-radiation-treatment-of-glioblastoma-multiforme
#10
C Lopez, N Nagornaya, N Parra, D Kwon, F Ishkanian, A Markoe, A Maudsley, R Stoyanova
PURPOSE: High-throughput extraction of imaging and metabolomic quantitative features from MRI and MR Spectroscopy Imaging (MRSI) of Glioblastoma Multiforme (GBM) results in tens of variables per patient. In radiotherapy (RT) of GBM, the relevant metabolic tumor volumes (MTVs) are related to aberrant levels of N-acetyl Aspartate (NAA) and Choline (Cho). Corresponding Clinical Target Volumes (CTVs) for RT planning are based on Contrast Enhancing T1-weighted MRI (CE-T1w) and T2-weighted/Fluid Attenuated Inversion Recovery (FLAIR) MRI...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048783/su-f-r-30-interscanner-variability-of-radiomics-features-in-computed-tomography-ct-using-a-standard-acr-phantom
#11
M Shafiq Ul Hassan, M Budzevich, G Zhang, K Latifi, D Hunt, R Gillies, E Moros
PURPOSE: A simple approach to investigate Interscanner variability of Radiomics features in computed tomography (CT) using a standard ACR phantom. METHODS: The standard ACR phantom was scanned on CT scanners from three different manufacturers. Scanning parameters of 120 KVp, 200 mA were used while slice thickness of 3.0 mm on two scanners and 3.27 mm on third scanner was used. Three spherical regions of interest (ROI) from water, medium density and high density inserts were contoured...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048759/tu-a-207b-00-imaging-genomics-associations-and-biological-correlates-of-radiomics
#12
Yitan Zhu
With the growth of quantitative imaging and quantitative image analysis, image-based biomarkers (i.e. image-based phenotypes) are becoming potential descriptors in personalized medicine as well as in cancer discovery research. Genomic study measures molecular cancer status and provides abundant information about cancer development mechanism. There is a need to understand the relationship between the image-based cancer phenotypes (from radiomics) and the underlying molecular and genomic system. Imaging scientists and genomic scientists need to be able to speak the same language in this common era of Big Data...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048737/mo-de-207b-01-jack-fowler-junior-investigator-competition-winner-between-somatic-mutations-and-pet-based-radiomic-features-in-non-small-cell-lung-cancer
#13
S Yip, J Kim, T Coroller, E Rios Velazquez, C Parmar, R Mak, H Aerts
PURPOSE: Although PET-based radiomic features have been proposed to quantify tumor heterogeneity and shown promise in outcome prediction, little is known about their relationship with tumor genetics. This study assessed the association of [(18) F]fluorodeoxyglucose (FDG)-PET-based radiomic features with non-small cell lung cancer (NSCLC) mutations. METHODS: 348 NSCLC patients underwent FDG-PET/CT scans before treatment and were tested for genetic mutations. 13% (44/348) and 28% (96/348) patients were found to harbor EGFR (EGFR+) and KRAS (KRAS+) mutations, respectively...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048692/mo-fg-207b-01-thorax-lung
#14
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/28048672/tu-c-horizons-01-the-expanding-horizons-travel-grant-program-eposters-and-discussion
#15
J Siewerdsen, R Jeraj
The Expanding Horizons travel grant program provides opportunity for students and trainees to broaden the scope of scientific meetings they attend and gain insight from research outside traditional domains of medical physics. Through participation in such conferences, early-career researchers are introduced to new topics with relevance to medical physics research as a means to expand the scientific horizons of our discipline. This year, 21 Expanding Horizons travel grants were awarded, granting travel to 17 conferences, including: Radiomics, the World Molecular Imaging Society (WMIS), the 3D Printing Conference and Expo, the GPU Technology Conference, the SIAM Imaging Science Conference, the Human Brain Mapping Conference, the OSA Conference on Clinical and Translational Biophotonics, the Society for Neuroscience, the AACR Conference on Tumor Microenvironment, and the Conference on Knowledge Discovery and Data Mining...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048663/tu-fg-207a-05-winners-1-2-3-and-q-a
#16
C McCollough
: Peer-reviewed journals and conference proceedings publish hundreds of papers that describe new medical imaging algorithms, including, for example, techniques for computer-aided diagnosis or characterization, segmentation, image registration, image reconstruction, and radiomics. It is difficult, if not impossible, to fairly compare the performance of these algorithms as investigators must either use different data sets, or if using the same data, use different implementations of competing algorithms...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048651/tu-fg-207a-03-overview-of-ct-reconstruction-and-denoising-strategies
#17
N Pelc
: Peer-reviewed journals and conference proceedings publish hundreds of papers that describe new medical imaging algorithms, including, for example, techniques for computer-aided diagnosis or characterization, segmentation, image registration, image reconstruction, and radiomics. It is difficult, if not impossible, to fairly compare the performance of these algorithms as investigators must either use different data sets, or if using the same data, use different implementations of competing algorithms...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048647/tu-d-207b-07-radiomic-response-assessment-for-recurrent-glioblastoma-treated-with-bevacizumab-in-the-brain-trial
#18
P Grossmann, V Narayan, R Huang, H Aerts
PURPOSE: To develop radiomic biomarkers for non-invasive response assessment of Bevacizumab (Avastin; Genentech) treatment in recurrent glioblastoma multiforme (GBM). METHODS: We analyzed prospectively acquired data from the BRAIN trial. For 167 patients, we extracted 71 radiomic features each from normalized post-contrast T1-weighted and fluid attenuation inversion recovery (FLAIR) sequences at baseline (pretreatment), and at follow-ups of six and twelve weeks (post-treatment), respectively, where available...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048543/tu-h-207b-01-memorial-tribute
#19
J Boone
Research and development in radiomics for precision medicine have been advancing at a rapid pace, and can be extended to eventually be mature enough for integration into clinical practice. To facilitate advances in this field, investigators need updated information on research funding, regulatory matters, and clinical translation efforts. In this special radiomics symposium, the attendee will learn of various novel funding mechanisms - both past and present - that have been used to support a number of quantitative imaging and radiomics research and resource infrastructures...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048417/th-e-202-00-pet-for-radiation-therapy
#20
Wei Lu
: PET/CT is a very important imaging tool in the management of oncology patients. PET/CT has been applied for treatment planning and response evaluation in radiation therapy. This educational session will discuss: 1. Pitfalls and remedies in PET/CT imaging for RT planning 2. The use of hypoxia PET imaging for radiotherapy 3. PET for tumor response evaluation The first presentation will address the issue of mis-registration between the CT and PET images in the thorax and the abdomen. We will discuss the challenges of respiratory gating and introduce an average CT technique to improve the registration for dose calculation and image-guidance in radiation therapy...
June 2016: Medical Physics
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