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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/28073207/intraoperative-ultrasound-guided-enucleation-of-testicular-nodule
#2
Riccardo Boschian, Giovanni Liguori, Stefano Bucci, Michele Bertolotto, Carlo Trombetta
OBJECTIVE: We report a case of enucleation of a non-palpable right testicular lesion found incidentally at testicular ultrasonography during investigations in a patient with azoospermia. MATERIALS AND METHODS: In 2011 bilateral hypoechoic nonpalpable testicular lesions (5 mm and 3 mm to the right, 3 mm to the left) were found in a 28 years old patient, during diagnostic investigations for azoospermia. In March 2016, ultrasonography showed that the diameter of the right major nodule had grown to 12 mm, characterized by increased vascularization and increased texture...
December 30, 2016: Archivio Italiano di Urologia, Andrologia
https://www.readbyqxmd.com/read/28068363/quantitative-computed-tomography-features-for-predicting-tumor-recurrence-in-patients-with-surgically-resected-adenocarcinoma-of-the-lung
#3
Hyun Jung Koo, Yu Sub Sung, Woo Hyun Shim, Hai Xu, Chang-Min Choi, Hyeong Ryul Kim, Jung Bok Lee, Mi Young Kim
PURPOSE: The purpose of this study was to determine if preoperative quantitative computed tomography (CT) features including texture and histogram analysis measurements are associated with tumor recurrence in patients with surgically resected adenocarcinoma of the lung. METHODS: The study included 194 patients with surgically resected lung adenocarcinoma who underwent preoperative CT between January 2013 and December 2013. Quantitative CT feature analysis of the lung adenocarcinomas were performed using in-house software based on plug-in package for ImageJ...
2017: PloS One
https://www.readbyqxmd.com/read/28057031/-18-fdg-pet-ct-for-predicting-the-outcome-in-er-her2-breast-cancer-patients-comparison-of-clinicopathological-parameters-and-pet-image-derived-indices-including-tumor-texture-analysis
#4
David Groheux, Antoine Martineau, Luis Teixeira, Marc Espié, Patricia de Cremoux, Philippe Bertheau, Pascal Merlet, Charles Lemarignier
BACKGROUND: This study investigated the value of some clinicopathological parameters and 18 F-fluorodeoxyglucose-positron emission tomography/computed tomography ((18)FDG-PET/CT) indices, including textural features, to predict event-free survival (EFS) in estrogen receptor-positive/human epidermal growth factor receptor 2-negative (ER+/HER2-) locally advanced breast cancer (BC) patients. METHODS: FDG-PET/CT indices and clinicopathological parameters were assessed before neoadjuvant chemotherapy (NAC)...
January 5, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/28052757/erratum-to-mammographic-texture-and-risk-of-breast-cancer-by-tumor-type-and-estrogen-receptor-status
#5
Serghei Malkov, John A Shepherd, Christopher G Scott, Rulla M Tamimi, Lin Ma, Kimberly A Bertrand, Fergus Couch, Matthew R Jensen, Amir P Mahmoudzadeh, Bo Fan, Aaron Norman, Kathleen R Brandt, V Shane Pankratz, Celine M Vachon, Karla Kerlikowske
No abstract text is available yet for this article.
January 4, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/28048907/su-f-r-46-predicting-distant-failure-in-lung-sbrt-using-multi-objective-radiomics-model
#6
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/28048816/mo-de-207b-05-predicting-gene-mutations-in-renal-cell-carcinoma-based-on-ct-imaging-features-validation-using-tcga-tcia-datasets
#7
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/28048759/tu-a-207b-00-imaging-genomics-associations-and-biological-correlates-of-radiomics
#8
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/28048647/tu-d-207b-07-radiomic-response-assessment-for-recurrent-glioblastoma-treated-with-bevacizumab-in-the-brain-trial
#9
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/28048601/tu-d-207b-03-early-assessment-of-response-to-chemoradiotherapy-based-on-textural-analysis-of-pre-and-mid-treatment-fdg-pet-image-in-locally-advanced-head-and-neck-cancer
#10
Y Cui, E Pollom, B Loo, Q Le, W Hara, R Li
PURPOSE: To evaluate whether tumor textural features extracted from both pre- and mid-treatment FDG-PET images predict early response to chemoradiotherapy in locally advanced head and neck cancer, and investigate whether they provide complementary value to conventional volume-based measurements. METHODS: Ninety-four patients with locally advanced head and neck cancers were retrospectively studied. All patients received definitive chemoradiotherapy and underwent FDG-PET planning scans both before and during treatment...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048420/su-f-r-27-use-local-shape-descriptor-based-on-geodesic-distance-to-predict-survival-in-non-small-cell-lung-cancer-after-radiotherapy
#11
H Zhang, L Yan, K Huang, F Kong, J Jin
PURPOSE: The shape of the Positron Emission Tomography (PET) image represents the heterogeneity of tumor growth in various directions, and thus could be associated with tumor malignancy. We have proposed a median geodesic distance (MGD) to represent the local complexity of the shape and use a normalized MGD (NMGD) to quantify the shape, and found a potential correlation of NMGD to survival in a 20-patient pilot study. This study was to verify the finding in a larger patient cohort. METHODS: Geodesic distance of two vertices on a surface is defined as the shortest path on the surface connecting the two vertices...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048226/su-f-r-35-repeatability-of-texture-features-in-t1-and-t2-weighted-mr-images
#12
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/28048190/su-f-r-19-novel-radiomics-quantifying-tumor-structural-evolution-using-deformation-vector-field-application-for-tumor-response-assessment
#13
S Riyahi, W Choi, W Lu
PURPOSE: to quantify tumor volume/shape evolution due to chemoradiotherapy using structural evolution maps computed from deformation field. To extract radiomics from these maps for tumor response assessment. METHODS: In 20 patients with esophageal cancer, BSpline deformable registration was performed to register post-treatment CT image to pre-treatment CT image. The resulting deformation (vector) field represented tissue displacement at every voxel. We computed three structural evolution maps from the deformation field: (1) contraction map, to detect local tumor shrinking/growth, (2) Jacobian map, to characterize the ratio of local volumetric variation, and (3) Hessian map, to track dynamic evolving process...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048179/su-f-r-54-ct-texture-based-early-tumor-treatment-response-assessment-during-radiation-therapy-delivery-small-cell-versus-non-small-cell-lung-cancers
#14
J Paul, E Gore, X Li
PURPOSE: Tumor treatment response may potentially be assessed during radiation therapy (RT) by analyzing changes in CT-textures. We investigated the different early RT-responses between small cell (SCLC) and non-small cell lung cancer (NSCLC) as assessed by CT-texture. METHODS: Daily diagnostic-quality CT acquired during routine CT-guided RT using a CT-on-Rails for 13-NSCLC and 5-SCLC patients were analyzed. These patient had ages ranging from 45-78 and 38-63 years, respectively, for NSCLC and SCLC groups, and tumor-stages ranging from T2-T4, and were treated with either RT or chemotherapy and RT with 45-66Gy/ 20-34 fractions...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048125/su-f-r-31-identification-of-robust-normal-lung-ct-texture-features-for-the-prediction-of-radiation-induced-lung-disease
#15
W Choi, S Riyahi, W Lu
PURPOSE: Normal lung CT texture features have been used for the prediction of radiation-induced lung disease (radiation pneumonitis and radiation fibrosis). For these features to be clinically useful, they need to be relatively invariant (robust) to tumor size and not correlated with normal lung volume. METHODS: The free-breathing CTs of 14 lung SBRT patients were studied. Different sizes of GTVs were simulated with spheres placed at the upper lobe and lower lobe respectively in the normal lung (contralateral to tumor)...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048090/su-g-bra-06-quantification-of-tracking-performance-of-a-multi-layer-electronic-portal-imaging-device
#16
Y Hu, J Rottmann, M Myronakis, R Berbeco
PURPOSE: The purpose of this study was to quantify the improvement in tumor tracking, with and without fiducial markers, afforded by employing a multi-layer (MLI) electronic portal imaging device (EPID) over the current state-of-the-art, single-layer, digital megavolt imager (DMI) architecture. METHODS: An ideal observer signal-to-noise ratio (d') approach was used to quantify the ability of an MLI EPID and a current, state-of-the-art DMI EPID to track lung tumors from the treatment beam's-eye-view...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047642/su-d-202-02-quantitative-imaging-correlation-between-image-feature-analysis-and-the-accuracy-of-manually-drawn-contours-on-pet-images
#17
N Lamichhane, P Johnson, F Chinea, V Patel, F Yang
PURPOSE: To evaluate the correlation between image features and the accuracy of manually drawn target contours on synthetic PET images METHODS: A digital PET phantom was used in combination with Monte Carlo simulation to create a set of 26 simulated PET images featuring a variety of tumor shapes and activity heterogeneity. These tumor volumes were used as a gold standard in comparisons with manual contours delineated by 10 radiation oncologist on the simulated PET images. Metrics used to evaluate segmentation accuracy included the dice coefficient, false positive dice, false negative dice, symmetric mean absolute surface distance, and absolute volumetric difference...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047633/su-c-207b-06-comparison-of-registration-methods-for-modeling-pathologic-response-of-esophageal-cancer-to-chemoradiation-therapy
#18
S Riyahi, W Choi, N Bhooshan, S Tan, H Zhang, W Lu
PURPOSE: To compare linear and deformable registration methods for evaluation of tumor response to Chemoradiation therapy (CRT) in patients with esophageal cancer. METHODS: Linear and multi-resolution BSpline deformable registration were performed on Pre-Post-CRT CT/PET images of 20 patients with esophageal cancer. For both registration methods, we registered CT using Mean Square Error (MSE) metric, however to register PET we used transformation obtained using Mutual Information (MI) from the same CT due to being multi-modality...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047623/su-f-r-13-decoding-18f-fdg-uptake-heterogeneity-for-primary-and-lymphoma-tumors-by-using-texture-analysis-in-pet-images
#19
C Ma, Y Yin
PURPOSE: To explore 18F-FDG uptake heterogeneity of primary tumor and lymphoma tumor by texture features of PET image and quantify the heterogeneity difference between primary tumor and lymphoma tumor. METHODS: 18 patients with primary tumor and lymphoma tumor in lung cancer were enrolled. All patients underwent whole-body 18F-FDG PET/CT scans before treatment. Texture features, based on Gray-level Co-occurrence Matrix, second and high order matrices are extracted from code using MATLAB software to quantify 18F-FDG uptake heterogeneity...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047590/su-f-r-02-imaging-genomics-for-predicting-gbm-molecular-subclasses-and-survival
#20
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
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