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Texture mri

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https://www.readbyqxmd.com/read/28079702/radiomic-analysis-reveals-prognostic-information-in-t1-weighted-baseline-magnetic-resonance-imaging-in-patients-with-glioblastoma
#1
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/28048226/su-f-r-35-repeatability-of-texture-features-in-t1-and-t2-weighted-mr-images
#2
R Mahon, E Weiss, J Ford, K Karki, G Hugo
PURPOSE: To evaluate repeatability of lung tumor texture features from inspiration/expiration MR image pairs for potential use in patient specific care models and applications. Repeatability is a desirable and necessary characteristic of features included in such models. METHODS: T1-weighted Volumetric Interpolation Breath-Hold Examination (VIBE) and/or T2-weighted MRI scans were acquired for 15 patients with non-small cell lung cancer before and during radiotherapy for a total of 32 and 34 same session inspiration-expiration breath-hold image pairs respectively...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048162/su-f-r-08-can-normalization-of-brain-mri-texture-features-reduce-scanner-dependent-effects-in-unsupervised-machine-learning
#3
K Ogden, T Bradford, L Cussen, R O'Dwyer
PURPOSE: To reduce differences in features calculated from MRI brain scans acquired at different field strengths with or without Gadolinium contrast. METHODS: Brain scans were processed for 111 epilepsy patients to extract hippocampus and thalamus features. Scans were acquired on 1.5 T scanners with Gadolinium contrast (group A), 1.5T scanners without Gd (group B), and 3.0 T scanners without Gd (group C). A total of 72 features were extracted. Features were extracted from original scans and from scans where the image pixel values were rescaled to the mean of the hippocampi and thalami values...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047742/su-f-r-17-advancing-glioblastoma-multiforme-gbm-recurrence-detection-with-mri-image-texture-feature-extraction-and-machine-learning
#4
V Yu, D Ruan, D Nguyen, T Kaprealian, R Chin, K Sheng
PURPOSE: To test the potential of early Glioblastoma Multiforme (GBM) recurrence detection utilizing image texture pattern analysis in serial MR images post primary treatment intervention. METHODS: MR image-sets of six time points prior to the confirmed recurrence diagnosis of a GBM patient were included in this study, with each time point containing T1 pre-contrast, T1 post-contrast, T2-Flair, and T2-TSE images. Eight Gray-level co-occurrence matrix (GLCM) texture features including Contrast, Correlation, Dissimilarity, Energy, Entropy, Homogeneity, Sum-Average, and Variance were calculated from all images, resulting in a total of 32 features at each time point...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047590/su-f-r-02-imaging-genomics-for-predicting-gbm-molecular-subclasses-and-survival
#5
F Mahmoudi, L Poisson, H Bagher-Ebadian, M Nazem-Zadeh, H Soltanian-Zadeh
PURPOSE: Glioblastoma (GBM) is the most common and fatal primary intracranial neoplasm. GBM is categorized into five sub-classes (classical, G-CIMP, mesenchymal, proneural and neural) that can only be determined by an invasive brain biopsy followed by RNA and DNA methylation profiling. The goal of this study is to develop imaging features extracted from conventional MRI scans and an ensemble-classification method as a potential noninvasive method to predict the five molecular sub-classes and 12-month survival status...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047470/su-f-r-32-evaluation-of-mri-acquisition-parameter-variations-on-texture-feature-extraction-using-acr-phantom
#6
Y Xie, J Wang, C Wang, Z Chang
PURPOSE: To investigate the sensitivity of classic texture features to variations of MRI acquisition parameters. METHODS: This study was performed on American College of Radiology (ACR) MRI Accreditation Program Phantom. MR imaging was acquired on a GE 750 3T scanner with XRM explain gradient, employing a T1-weighted images (TR/TE=500/20ms) with the following parameters as the reference standard: number of signal average (NEX) = 1, matrix size = 256×256, flip angle = 90°, slice thickness = 5mm...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047264/tu-d-207b-05-intra-tumor-partitioning-and-texture-analysis-of-dce-mri-identifies-relevant-tumor-subregions-to-predict-early-pathological-response-of-breast-cancer-to-neoadjuvant-chemotherapy
#7
J Wu, G Gong, Y Cui, R Li
PURPOSE: To predict early pathological response of breast cancer to neoadjuvant chemotherapy (NAC) based on quantitative, multi-region analysis of dynamic contrast enhancement magnetic resonance imaging (DCE-MRI). METHODS: In this institution review board-approved study, 35 patients diagnosed with stage II/III breast cancer were retrospectively investigated using DCE-MR images acquired before and after the first cycle of NAC. First, principal component analysis (PCA) was used to reduce the dimensionality of the DCE-MRI data with a high-temporal resolution...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046940/su-f-r-03-classification-of-glioblastoma-multiforme-molecular-subtypes-using-three-dimensional-multi-modal-mr-imaging-features
#8
M Mulvey, S Muhyadeen, U Sinha
PURPOSE: Positive patient outcomes with the use of aggressive concurrent chemoradiotherapy have been shown for classical and mesenchymal glioblastoma multiformae (GBM) subtypes, while not having the same positive effect for patients with neural and proneural subtypes. Quantitative MR Imaging features from multimodal MRI have been recently explored for GBM subtype classification with some promising results. We have integrated 3D textural and moment invariant features to investigate if these will strengthen the association between glioblastoma MR image features and genomic markers...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046891/we-fg-206-12-enhanced-laws-textures-a-potential-mri-surrogate-marker-of-hepatic-fibrosis-in-a-murine-model
#9
B Li, H Yu, H Jara, J Soto, S Anderson
PURPOSE: To compare enhanced Laws texture derived from parametric proton density (PD) maps to other MRI-based surrogate markers (T2, PD, ADC) in assessing degrees of liver fibrosis in a murine model of hepatic fibrosis using 11.7T scanner. METHODS: This animal study was IACUC approved. Fourteen mice were divided into control (n=1) and experimental (n=13). The latter were fed a DDC-supplemented diet to induce hepatic fibrosis. Liver specimens were imaged using an 11...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046728/su-f-r-29-the-influence-of-four-dimensional-diffusion-weighted-mri-4d-dwi-on-feature-analysis-of-time-resolved-apparent-diffusion-coefficient-adc-measurement-initial-evaluation
#10
Y Liu, F Yin, J Cai
PURPOSE: Diffusion-weighted imaging (DWI) has been shown to have superior tumor-to-tissue contrast for cancer detection compared to other MRI sequences and CT. This study aims at developing and evaluating the effects of the four dimensional DWI (4D-DWI) technique on the feature analysis of time-resolved Apparent Diffusion Coefficient (ADC) measurement. METHODS: Image acquisition was performed by repeatedly imaging a volume of interest using a multi-slice single-shot 2D-DWI sequence in the axial planes...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046345/su-f-r-26-prognostic-radiomics-of-breast-cancer-on-dce-and-dwi-mr-images
#11
N Maforo, H Li, L Lan, A Edwards, M L Giger
PURPOSE: For this study, we investigated quantitative radiomics of breast tumors on diffusion weighted imaging and dynamic contrast-enhanced MRIs in the task of assessing the prognostic status of breast cancers. METHODS: Our IRB-approved, retrospectively-collected dataset included 316 breast cancers with 235 ER+ and 81 ER- cases. All images were acquired during clinical breast MRI incorporating dynamic-contrast MRI and diffusion-weighted MRI. Phenotypic categories extracted quantitatively from DCE-MRI included tumor size, shape, margin sharpness, enhancement texture, kinetics, and variance kinetics, and from DWI-DCE ADC features (average, range, variation) for DWI...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046312/su-f-r-15-establishing-relevant-adc-based-texture-analysis-metrics-for-quantifying-early-treatment-induced-changes-in-head-and-neck-squamous-cell-carcinoma
#12
K Loman, J Nawrocki, J Hoang, D Yoo, Z Chang, Y Mowery, X Li, B Peterson, D Brizel, O Craciunescu
PURPOSE: The purpose of this study is to identify texture analysis metrics from apparent diffusion coefficient (ADC) maps that would provide quantifiable changes with treatment in patients with head and neck squamous cell carcinoma (HNSCC). We discerned which imaging metrics were relevant using baseline agreement and variations during early treatment. METHODS: We retrospectively analyzed diffusion-weighted MRI scans in 9 patients with stages II-IV HNSCC. ADC maps were generated from two baseline scans, performed 1 week apart, and one early treatment scan, obtained during the 2nd week of chemoradiation...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046214/su-f-r-57-validation-of-quantitative-radiomic-texture-features-for-oncologic-mri-a-simulation-study
#13
F Yang, J Ford, N Dogan
PURPOSE: Radiomic texture features extracted from diverse MRI modalities have been investigated regarding their predictive and prognostic values in a variety of cancers. However, their validity has not yet been fully assessed. With the aid of a digital MRI phantom, the objective of this study was to examine the validity and reliability of MRI texture metrics. METHODS: MR signal of the employed digital phantom was simulated in a multiple coil setting with realistic acquisition noise...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28030820/unsupervised-consensus-cluster-analysis-of-18f-fluoroethyl-l-tyrosine-positron-emission-tomography-identified-textural-features-for-the-diagnosis-of-pseudoprogression-in-high-grade-glioma
#14
Sied Kebir, Zain Khurshid, Florian C Gaertner, Markus Essler, Elke Hattingen, Rolf Fimmers, Björn Scheffler, Ulrich Herrlinger, Ralph A Bundschuh, Martin Glas
RATIONALE: Timely detection of pseudoprogression (PSP) is crucial for the management of patients with high-grade glioma (HGG) but remains difficult. Textural features of O-(2-[18F]fluoroethyl)-L-tyrosine positron emission tomography (FET-PET) mirror tumor uptake heterogeneity; some of them may be associated with tumor progression. METHODS: Fourteen patients with HGG and suspected of PSP underwent FET-PET imaging. A set of 19 conventional and textural FET-PET features were evaluated and subjected to unsupervised consensus clustering...
December 24, 2016: Oncotarget
https://www.readbyqxmd.com/read/28026759/partial-discreteness-a-novel-prior-for-magnetic-resonance-image-reconstruction
#15
Gabriel Ramos-Llorden, Arnold Jan den Dekker, Jan Sijbers
An important factor influencing the quality of magnetic resonance (MR) images is the reconstruction method that is employed, and specifically, the type of prior knowledge that is exploited during reconstruction. In this work, we introduce a new type of prior knowledge, partial discreteness, where a small number of regions in the image are assumed to be homogeneous and can be well represented by a constant magnitude. In particular, we mathematically formalize the partial discreteness property based on a Gaussian Mixture Model (GMM) and derive a partial discreteness image representation that characterizes the salient features of partially discrete images: a constant intensity in homogeneous areas and texture in heterogeneous areas...
December 23, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28008670/characterization-of-a-rat-orthotopic-pancreatic-head-tumor-model-using-three-dimensional-and-quantitative-multi-parametric-mri
#16
Ting Yin, Ronald Peeters, Yuanbo Feng, Yewei Liu, Jie Yu, Steven Dymarkowski, Uwe Himmelreich, Raymond Oyen, Yicheng Ni
The purpose of this study was to investigate the reliability of 3D isotropic MRI and quantitative multi-parametric MRI characterization on an orthotopic pancreatic head tumor model in rats. 3D isotropic T2 -weighted MRI was performed as a routine for tumor longitudinal follow-up and volume estimation. Common bile duct diameter was measured from 3D multiplanar reconstruction. Quantitative multi-parametric measurements including pixel-wise T2 , T1 relaxivity, apparent diffusion coefficient (ADC) and apparent diffusion kurtosis mapping were performed twice throughout tumor growth...
December 23, 2016: NMR in Biomedicine
https://www.readbyqxmd.com/read/27995072/application-of-texture-analysis-to-dat-spect-imaging-relationship-to-clinical-assessments
#17
Arman Rahmim, Yousef Salimpour, Saurabh Jain, Stephan A L Blinder, Ivan S Klyuzhin, Gwenn S Smith, Zoltan Mari, Vesna Sossi
Dopamine transporter (DAT) SPECT imaging is increasingly utilized for diagnostic purposes in suspected Parkinsonian syndromes. We performed a cross-sectional study to investigate whether assessment of texture in DAT SPECT radiotracer uptake enables enhanced correlations with severity of motor and cognitive symptoms in Parkinson's disease (PD), with the long-term goal of enabling clinical utility of DAT SPECT imaging, beyond standard diagnostic tasks, to tracking of progression in PD. Quantitative analysis in routine DAT SPECT imaging, if performed at all, has been restricted to assessment of mean regional uptake...
2016: NeuroImage: Clinical
https://www.readbyqxmd.com/read/27987504/-diagnostic-value-of-carotid-atherosclerosis-score-for-ischemic-stroke
#18
T Y Xiao, Y Liu, J L Li, R T Wang, J C DU
OBJECTIVE: To discuss the diagnostic value of carotid atherosclerosis score for ischemic stroke. METHODS: In the study, 151 patients with ischemic stroke were enrolled, who were diagnosed by cranial CT scan or cranial MRI scan, and examined with carotid duplex ultrasound, and 151 healthy check-up cases matched by age and sex were chosen as control group, who were excluded ischemic stroke by cranial CT scan or cranial MRI scan. All the control cases were examined with carotid duplex ultrasound also...
December 18, 2016: Beijing da Xue Xue Bao. Yi Xue Ban, Journal of Peking University. Health Sciences
https://www.readbyqxmd.com/read/27986620/subchondral-bone-in-osteoarthritis-association-between-mri-texture-analysis-and-histomorphometry
#19
J W MacKay, P J Murray, B Kasmai, G Johnson, S T Donell, A P Toms
OBJECTIVE: Magnetic resonance imaging (MRI) texture analysis is a method of analyzing subchondral bone alterations in osteoarthritis (OA). The objective of this study was to evaluate the association between MR texture analysis and ground-truth subchondral bone histomorphometry at the tibial plateau. DESIGN: The local research ethics committee approved the study. All subjects provided written, informed consent. This was a cross-sectional study carried out at our institution between February and August 2014...
December 13, 2016: Osteoarthritis and Cartilage
https://www.readbyqxmd.com/read/27981751/liver-fibrosis-review-of-current-imaging-and-mri-quantification-techniques
#20
REVIEW
Léonie Petitclerc, Giada Sebastiani, Guillaume Gilbert, Guy Cloutier, An Tang
: Liver fibrosis is characterized by the accumulation of extracellular matrix proteins such as collagen in the liver interstitial space. All causes of chronic liver disease may lead to fibrosis and cirrhosis. The severity of liver fibrosis influences the decision to treat or the need to monitor hepatic or extrahepatic complications. The traditional reference standard for diagnosis of liver fibrosis is liver biopsy. However, this technique is invasive, associated with a risk of sampling error, and has low patient acceptance...
December 16, 2016: Journal of Magnetic Resonance Imaging: JMRI
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