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https://www.readbyqxmd.com/read/28526813/radiomic-model-for-predicting-mutations-in-the-isocitrate-dehydrogenase-gene-in-glioblastomas
#1
Kevin Li-Chun Hsieh, Cheng-Yu Chen, Chung-Ming Lo
The present study proposed a computer-aided diagnosis system based on radiomic features extracted through magnetic resonance imaging to determine the isocitrate dehydrogenase status in glioblastomas. Magnetic resonance imaging data were obtained from 32 patients with wild-typeisocitrate dehydrogenase and 7 patients with mutant isocitrate dehydrogenase in glioblastomas. Radiomic features, namely morphological, intensity, and textural features, were extracted from the tumor area of each patient. The feature sets were evaluated using a logistic regression classifier to develop a prediction model...
May 3, 2017: Oncotarget
https://www.readbyqxmd.com/read/28523350/comparison-of-a-radiomic-biomarker-with-volumetric-analysis-for-decoding-tumour-phenotypes-of-lung-adenocarcinoma-with-different-disease-specific-survival
#2
Mei Yuan, Yu-Dong Zhang, Xue-Hui Pu, Yan Zhong, Hai Li, Jiang-Fen Wu, Tong-Fu Yu
OBJECTIVES: To compare a multi-feature-based radiomic biomarker with volumetric analysis in discriminating lung adenocarcinomas with different disease-specific survival on computed tomography (CT) scans. METHODS: This retrospective study obtained institutional review board approval and was Health Insurance Portability and Accountability Act (HIPAA) compliant. Pathologically confirmed lung adenocarcinoma (n = 431) manifested as subsolid nodules on CT were identified...
May 18, 2017: European Radiology
https://www.readbyqxmd.com/read/28521821/intratumoral-and-peritumoral-radiomics-for-the-pretreatment-prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-based-on-breast-dce-mri
#3
Nathaniel M Braman, Maryam Etesami, Prateek Prasanna, Christina Dubchuk, Hannah Gilmore, Pallavi Tiwari, Donna Pletcha, Anant Madabhushi
BACKGROUND: In this study, we evaluated the ability of radiomic textural analysis of intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict pathological complete response (pCR) to neoadjuvant chemotherapy (NAC). METHODS: A total of 117 patients who had received NAC were retrospectively analyzed. Within the intratumoral and peritumoral regions of T1-weighted contrast-enhanced MRI scans, a total of 99 radiomic textural features were computed at multiple phases...
May 18, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/28506693/survival-prediction-of-non-small-cell-lung-cancer-patients-using-radiomics-analyses-of-cone-beam-ct-images
#4
Janna E van Timmeren, Ralph T H Leijenaar, Wouter van Elmpt, Bart Reymen, Cary Oberije, René Monshouwer, Johan Bussink, Carsten Brink, Olfred Hansen, Philippe Lambin
BACKGROUND AND PURPOSE: In this study we investigated the interchangeability of planning CT and cone-beam CT (CBCT) extracted radiomic features. Furthermore, a previously described CT based prognostic radiomic signature for non-small cell lung cancer (NSCLC) patients using CBCT based features was validated. MATERIAL AND METHODS: One training dataset of 132 and two validation datasets of 62 and 94stage I-IV NSCLC patients were included. Interchangeability was assessed by performing a linear regression on CT and CBCT extracted features...
May 12, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/28499022/quantitative-imaging-biomarkers-for-risk-stratification-of-patients-with-recurrent-glioblastoma-treated-with-bevacizumab
#5
Patrick Grossmann, Vivek Narayan, Ken Chang, Rifaquat Rahman, Lauren Abrey, David A Reardon, Lawrence H Schwartz, Patrick Y Wen, Brian M Alexander, Raymond Huang, Hugo J W L Aerts
Background: Antiangiogenic therapy with bevacizumab is the most widely used treatment option for recurrent glioblastoma, but therapeutic response varies substantially and effective biomarkers for patient selection are not available. To this end, we determine whether novel quantitative radiomic strategies on the basis of magnetic-resonance-imaging (MRI) have the potential to noninvasively stratify survival and progression in this patient population. Methods: In an initial cohort of 126 patients, we identified a distinct set of features representative of the radiographic phenotype on baseline (pre-treatment) MRI...
May 11, 2017: Neuro-oncology
https://www.readbyqxmd.com/read/28494110/computerized-detection-of-lung-nodules-through-radiomics
#6
Jingchen Ma, Zien Zhou, Yacheng Ren, Junfeng Xiong, Ling Fu, Qian Wang, Jun Zhao
PURPOSE: Lung cancer is a major cause of cancer deaths, and the 5-year survival rate of stage IV lung cancer patients is only 2%. However, the 5-year survival rate of stage I lung cancer patients significantly increases to 50%. As such, spiral computed tomography (CT) scans are necessary to diagnose high-risk lung cancer patients in early stages. In this study, a computer-aided detection (CAD) system with radiomics was proposed. This system could automatically detect pulmonary nodules and reduce radiologists' workload and human errors...
May 11, 2017: Medical Physics
https://www.readbyqxmd.com/read/28490744/precision-radiology-predicting-longevity-using-feature-engineering-and-deep-learning-methods-in-a-radiomics-framework
#7
Luke Oakden-Rayner, Gustavo Carneiro, Taryn Bessen, Jacinto C Nascimento, Andrew P Bradley, Lyle J Palmer
Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an individual patient, which results from a combination of their genetic risks and environmental exposures. This approach is currently limited by the lack of effective and efficient non-invasive medical tests to define the full range of phenotypic variation associated with individual health. Such knowledge is critical for improved early intervention, for better treatment decisions, and for ameliorating the steadily worsening epidemic of chronic disease...
May 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28484211/metabolic-radiomics-for-pretreatment-18-f-fdg-pet-ct-to-characterize-locally-advanced-breast-cancer-histopathologic-characteristics-response-to-neoadjuvant-chemotherapy-and-prognosis
#8
Seunggyun Ha, Sohyun Park, Ji-In Bang, Eun-Kyu Kim, Ho-Young Lee
Radiomics has been spotlighted as imaging biomarker for estimation of intratumoral heterogeneity (ITH) which is regarded as the main reason for resistance to tumor treatment. Although a number of studies has shown clinical evidences that separate measurement of metabolic ITH by texture features (TFs) on (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) has prognostic ability in various tumors, there has been no consensus regarding the best parameter representing ITH...
May 8, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28480871/multi-objective-radiomics-model-for-predicting-distant-failure-in-lung-sbrt
#9
Zhiguo Zhou, Michael Folkert, Puneeth Iyengar, Kenneth Westover, Yuanyuan Zhang, Hak Choy, Robert Timmerman, Steve Jiang, Jing Wang
Stereotactic body radiation therapy (SBRT) has demonstrated high local control rates in early stage non-small cell lung cancer patients who are not ideal surgical candidates. However, distant failure after SBRT is still common. For patients at high risk of early distant failure after SBRT treatment, additional systemic therapy may reduce the risk of distant relapse and improve overall survival. Therefore, a strategy that can correctly stratify patients at high risk of failure is needed. The field of radiomics holds great potential in predicting treatment outcomes by using high-throughput extraction of quantitative imaging features...
June 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28464316/imaging-features-from-pre-treatment-ct-scans-are-associated-with-clinical-outcomes-in-non-small-cell-lung-cancer-patients-treated-with-stereotactic-body-radiotherapy
#10
Qian Li, Jongphil Kim, Yoganand Balagurunathan, Ying Liu, Kujtim Latifi, Olya Stringfield, Alberto Garcia, Eduardo G Moros, Thomas J Dilling, Matthew B Schabath, Zhaoxiang Ye, Robert J Gillies
PURPOSE: To investigate whether imaging features from pre-treatment planning CT scans are associated with overall survival (OS), recurrence-free survival (RFS), and loco-regional recurrence-free survival (LR-RFS) after stereotactic body radiotherapy (SBRT) among non-small-cell lung cancer (NSCLC) patients. PATIENTS AND METHODS: A total of 92 patients (median age: 73 years) with stage I or IIA NSCLC were qualified for this study. A total dose of 50 Gy in 5 fractions was the standard treatment...
May 2, 2017: Medical Physics
https://www.readbyqxmd.com/read/28458602/quality-of-radiomic-features-in-glioblastoma-multiforme-impact-of-semi-automated-tumor-segmentation-software
#11
Myungeun Lee, Boyeong Woo, Michael D Kuo, Neema Jamshidi, Jong Hyo Kim
OBJECTIVE: The purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software. MATERIALS AND METHODS: MR images of 45 GBM patients (29 males, 16 females) were downloaded from The Cancer Imaging Archive, in which post-contrast T1-weighted imaging and fluid-attenuated inversion recovery MR sequences were used. Two raters independently segmented the tumors using two semi-automated segmentation tools (TumorPrism3D and 3D Slicer)...
May 2017: Korean Journal of Radiology: Official Journal of the Korean Radiological Society
https://www.readbyqxmd.com/read/28456586/the-future-of-personalised-radiotherapy-for-head-and-neck-cancer
#12
REVIEW
Jimmy J Caudell, Javier F Torres-Roca, Robert J Gillies, Heiko Enderling, Sungjune Kim, Anupam Rishi, Eduardo G Moros, Louis B Harrison
Radiotherapy has long been the mainstay of treatment for patients with head and neck cancer and has traditionally involved a stage-dependent strategy whereby all patients with the same TNM stage receive the same therapy. We believe there is a substantial opportunity to improve radiotherapy delivery beyond just technological and anatomical precision. In this Series paper, we explore several new ideas that could improve understanding of the phenotypic and genotypic differences that exist between patients and their tumours...
April 26, 2017: Lancet Oncology
https://www.readbyqxmd.com/read/28453512/a-reproducible-semi-automatic-method-to-quantify-the-muscle-lipid-distribution-in-clinical-3d-ct-images-of-the-thigh
#13
Alexander Mühlberg, Oleg Museyko, Jean-Denis Laredo, Klaus Engelke
Many studies use threshold-based techniques to assess in vivo the muscle, bone and adipose tissue distribution of the legs using computed tomography (CT) imaging. More advanced techniques divide the legs into subcutaneous adipose tissue (SAT), anatomical muscle (muscle tissue and adipocytes within the muscle border) and intra- and perimuscular adipose tissue. In addition, a so-called muscle density directly derived from the CT-values is often measured. We introduce a new integrated approach to quantify the muscle-lipid system (MLS) using quantitative CT in patients with sarcopenia or osteoporosis...
2017: PloS One
https://www.readbyqxmd.com/read/28451825/using-pet-for-therapy-monitoring-in-oncological-clinical-trials-challenges-ahead
#14
C M Deroose, S Stroobants, Y Liu, L K Shankar, P Bourguet
Molecular imaging with PET has emerged as a powerful imaging tool in the clinical care of oncological patients. Assessing therapy response is a prime application of PET and so the integration of PET into multicentre trials can offer valuable scientific insights and shape future clinical practice. However, there are a number of logistic and methodological challenges that have to be dealt with. These range from availability and regulatory compliance of the PET radiopharmaceutical to availability of scan time for research purposes...
April 27, 2017: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/28448234/leveraging-clinical-imaging-archives-for-radiomics-reliability-of-automated-methods-for-brain-volume-measurement
#15
Viraj R Adduru, Andrew M Michael, Maria Helguera, Stefi A Baum, Gregory J Moore
Purpose To validate the use of thick-section clinically acquired magnetic resonance (MR) imaging data for estimating total brain volume (TBV), gray matter (GM) volume (GMV), and white matter (WM) volume (WMV) by using three widely used automated toolboxes: SPM ( www.fil.ion.ucl.ac.uk/spm/ ), FreeSurfer ( surfer.nmr.mgh.harvard.edu ), and FSL (FMRIB software library; Oxford Centre for Functional MR Imaging of the Brain, Oxford, England, https://fsl.fmrib.ox.ac.uk/fsl ). Materials and Methods MR images from a clinical archive were used and data were deidentified...
April 27, 2017: Radiology
https://www.readbyqxmd.com/read/28446335/quantitative-nano-characterization-of-polymers-using-atomic-force-microscopy
#16
Milad Radiom, Svilen Kozhuharov, Phally Kong, Michela di Giannantonio, Mathieu A Ayer, Plinio Maroni, Andreas F M Kilbinger, Katharina M Fromm, Christoph Weder, Michal Borkovec
The present article offers an overview on the use of atomic force microscopy (AFM) to characterize the nanomechanical properties of polymers. AFM imaging reveals the conformations of polymer molecules at solid- liquid interfaces. In particular, for polyelectrolytes, the effect of ionic strength on the conformations of molecules can be studied. Examination of force versus extension profiles obtained using AFM-based single molecule force spectroscopy gives information on the entropic and enthalpic elasticities in pN to nN force range...
April 26, 2017: Chimia
https://www.readbyqxmd.com/read/28434856/can-ct-and-mr-shape-and-textural-features-differentiate-benign-versus-malignant-pleural-lesions
#17
Elena Pena, MacArinze Ojiaku, Joao R Inacio, Ashish Gupta, D Blair Macdonald, Wael Shabana, Jean M Seely, Frank J Rybicki, Carole Dennie, Rebecca E Thornhill
RATIONALE AND OBJECTIVES: The study aimed to identify a radiomic approach based on CT and or magnetic resonance (MR) features (shape and texture) that may help differentiate benign versus malignant pleural lesions, and to assess if the radiomic model may improve confidence and accuracy of radiologists with different subspecialty backgrounds. MATERIALS AND METHODS: Twenty-nine patients with pleural lesions studied on both contrast-enhanced CT and MR imaging were reviewed retrospectively...
April 20, 2017: Academic Radiology
https://www.readbyqxmd.com/read/28423406/the-rise-of-radiomics-and-implications-for-oncologic-management
#18
Vivek Verma, Charles B Simone, Sunil Krishnan, Steven H Lin, Jinzhong Yang, Stephen M Hahn
Clinical medicine, particularly oncology, is progressing toward personalized care. Whereas the terms genomics, proteomics, transcriptomics, and metabolomics have dominated personalized medicine for the past couple decades, the concept of radiomics was first described in 2012. This nascent concept has major implications for personalized cancer care and involves extracting hundreds of standardized and quantifiable imaging characteristics from diagnostic computed tomography/magnetic resonance imaging images. The central hypothesis of radiomics is that these libraries of quantitative individual voxel-based variables are more sensitively associated with various clinical endpoints compared with the more qualitative radiologic, histopathologic, and clinical data more commonly utilized today...
July 1, 2017: Journal of the National Cancer Institute
https://www.readbyqxmd.com/read/28422299/incorporation-of-pre-therapy-18-f-fdg-uptake-data-with-ct-texture-features-into-a-radiomics-model-for-radiation-pneumonitis-diagnosis
#19
Gregory J Anthony, Alexandra Cunliffe, Richard Castillo, Ngoc Pham, Thomas Guerrero, Samuel G Armato, Hania Al-Hallaq
PURPOSE: To determine whether the addition of standardized uptake value (SUV) from PET scans to CT lung texture features could improve a radiomics-based model of radiation pneumonitis (RP) diagnosis in patients undergoing radiotherapy. METHODS AND MATERIALS: Anonymized data from 96 esophageal cancer patients (18 RP-positive cases of Grade ≥ 2) were collected including pre-therapy PET/CT scans, pre-/post-therapy diagnostic CT scans and RP status. Twenty texture features (first-order, fractal, Laws' filter and gray-level co-occurrence matrix) were calculated from diagnostic CT scans and compared in anatomically matched regions of the lung...
April 19, 2017: Medical Physics
https://www.readbyqxmd.com/read/28421244/texture-analysis-as-a-radiomic-marker-for-differentiating-renal-tumors
#20
HeiShun Yu, Jonathan Scalera, Maria Khalid, Anne-Sophie Touret, Nicolas Bloch, Baojun Li, Muhammad M Qureshi, Jorge A Soto, Stephan W Anderson
PURPOSE: To evaluate the utility of texture analysis for the differentiation of renal tumors, including the various renal cell carcinoma subtypes and oncocytoma. MATERIALS AND METHODS: Following IRB approval, a retrospective analysis was performed, including all patients with pathology-proven renal tumors and an abdominal computed tomography (CT) examination. CT images of the tumors were manually segmented, and texture analysis of the segmented tumors was performed...
April 18, 2017: Abdominal Radiology
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