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https://www.readbyqxmd.com/read/28807589/differences-in-texture-analysis-parameters-between-active-alveolitis-and-lung-fibrosis-in-chest-ct-of-patients-with-systemic-sclerosis-a-feasibility-study
#1
Christopher Kloth, Anya C Blum, Wolfgang M Thaiss, Heike Preibsch, Hendrik Ditt, Rainer Grimmer, Jan Fritz, Konstantin Nikolaou, Hans Bösmüller, Marius Horger
RATIONALE AND OBJECTIVES: This study aimed to determine the diagnostic aid of computed tomography (CT) features for the differentiation of active alveolitis and fibrosis using a CT texture analysis (CTTA) prototype and CT densitometry in patients with systemic sclerosis (SSc) using ancillary high-resolution computed tomography (HRCT) features and their longitudinal course as standard of reference. MATERIALS AND METHODS: We retrospectively analyzed thin-slice noncontrast chest CT image data of 43 patients with SSc (18 men, mean age 51...
August 11, 2017: Academic Radiology
https://www.readbyqxmd.com/read/28789598/development-of-a-computerized-4-d-mri-phantom-for-liver-motion-study
#2
Chunhao Wang, Fang-Fang Yin, W P Segars, Zheng Chang, Lei Ren
PURPOSE: To develop a 4-dimensional computerized magnetic resonance imaging phantom with image textures extracted from real patient scans for liver motion studies. METHODS: The proposed phantom was developed based on the current version of 4-dimensional extended cardiac-torso computerized phantom and a clinical magnetic resonance scan. Initially, the extended cardiac-torso phantom was voxelized in abdominal-chest region at the end of exhalation phase. Structures/tissues were classified into 4 categories: (1) Seven key textured organs, including liver, gallbladder, spleen, stomach, heart, kidneys, and pancreas, were mapped from a clinical T1-weighted liver magnetic resonance scan using deformable registration...
January 1, 2017: Technology in Cancer Research & Treatment
https://www.readbyqxmd.com/read/28748524/the-effects-of-segmentation-algorithms-on-the-measurement-of-18-f-fdg-pet-texture-parameters-in-non-small-cell-lung-cancer
#3
Usman Bashir, Gurdip Azad, Muhammad Musib Siddique, Saana Dhillon, Nikheel Patel, Paul Bassett, David Landau, Vicky Goh, Gary Cook
BACKGROUND: Measures of tumour heterogeneity derived from 18-fluoro-2-deoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) scans are increasingly reported as potential biomarkers of non-small cell lung cancer (NSCLC) for classification and prognostication. Several segmentation algorithms have been used to delineate tumours, but their effects on the reproducibility and predictive and prognostic capability of derived parameters have not been evaluated. The purpose of our study was to retrospectively compare various segmentation algorithms in terms of inter-observer reproducibility and prognostic capability of texture parameters derived from non-small cell lung cancer (NSCLC) (18)F-FDG PET/CT images...
December 2017: EJNMMI Research
https://www.readbyqxmd.com/read/28727543/non-small-cell-lung-cancer-radiogenomics-map-identifies-relationships-between-molecular-and-imaging-phenotypes-with-prognostic-implications
#4
Mu Zhou, Ann Leung, Sebastian Echegaray, Andrew Gentles, Joseph B Shrager, Kristin C Jensen, Gerald J Berry, Sylvia K Plevritis, Daniel L Rubin, Sandy Napel, Olivier Gevaert
Purpose To create a radiogenomic map linking computed tomographic (CT) image features and gene expression profiles generated by RNA sequencing for patients with non-small cell lung cancer (NSCLC). Materials and Methods A cohort of 113 patients with NSCLC diagnosed between April 2008 and September 2014 who had preoperative CT data and tumor tissue available was studied. For each tumor, a thoracic radiologist recorded 87 semantic image features, selected to reflect radiologic characteristics of nodule shape, margin, texture, tumor environment, and overall lung characteristics...
July 20, 2017: Radiology
https://www.readbyqxmd.com/read/28697731/texture-analysis-of-pulmonary-parenchymateous-changes-related-to-pulmonary-thromboembolism-in-dogs-a-novel-approach-using-quantitative-methods
#5
C B Marschner, M Kokla, J M Amigo, E A Rozanski, B Wiinberg, F J McEvoy
BACKGROUND: Diagnosis of pulmonary thromboembolism (PTE) in dogs relies on computed tomography pulmonary angiography (CTPA), but detailed interpretation of CTPA images is demanding for the radiologist and only large vessels may be evaluated. New approaches for better detection of smaller thrombi include dual energy computed tomography (DECT) as well as computer assisted diagnosis (CAD) techniques. The purpose of this study was to investigate the performance of quantitative texture analysis for detecting dogs with PTE using grey-level co-occurrence matrices (GLCM) and multivariate statistical classification analyses...
July 11, 2017: BMC Veterinary Research
https://www.readbyqxmd.com/read/28685320/can-laws-be-a-potential-pet-image-texture-analysis-approach-for-evaluation-of-tumor-heterogeneity-and-histopathological-characteristics-in-nsclc
#6
Seyhan Karacavus, Bülent Yılmaz, Arzu Tasdemir, Ömer Kayaaltı, Eser Kaya, Semra İçer, Oguzhan Ayyıldız
We investigated the association between the textural features obtained from (18)F-FDG images, metabolic parameters (SUVmax, SUVmean, MTV, TLG), and tumor histopathological characteristics (stage and Ki-67 proliferation index) in non-small cell lung cancer (NSCLC). The FDG-PET images of 67 patients with NSCLC were evaluated. MATLAB technical computing language was employed in the extraction of 137 features by using first order statistics (FOS), gray-level co-occurrence matrix (GLCM), gray-level run length matrix (GLRLM), and Laws' texture filters...
July 6, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28623478/feature-fusion-for-lung-nodule-classification
#7
Amal A Farag, Asem Ali, Salwa Elshazly, Aly A Farag
PURPOSE: This article examines feature-based nodule description for the purpose of nodule classification in chest computed tomography scanning. METHODS: Three features based on (i) Gabor filter, (ii) multi-resolution local binary pattern (LBP) texture features and (iii) signed distance fused with LBP which generates a combinational shape and texture feature are utilized to provide feature descriptors of malignant and benign nodules and non-nodule regions of interest...
June 16, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28623121/radiomics-based-assessment-of-radiation-induced-lung-injury-after-stereotactic-body-radiotherapy
#8
Angel Moran, Megan E Daly, Stephen S F Yip, Tokihiro Yamamoto
BACKGROUND: Over 50% of patients who receive stereotactic body radiotherapy (SBRT) develop radiographic evidence of radiation-induced lung injury. Radiomics is an emerging approach that extracts quantitative features from image data, which may provide greater value and a better understanding of pulmonary toxicity than conventional approaches. We aimed to investigate the potential of computed tomography-based radiomics in characterizing post-SBRT lung injury. METHODS: A total of 48 diagnostic thoracic computed tomography scans (acquired prior to SBRT and at 3, 6, and 9 months post-SBRT) from 14 patients were analyzed...
May 25, 2017: Clinical Lung Cancer
https://www.readbyqxmd.com/read/28615677/associations-between-radiologist-defined-semantic-and-automatically-computed-radiomic-features-in-non-small-cell-lung-cancer
#9
Stephen S F Yip, Ying Liu, Chintan Parmar, Qian Li, Shichang Liu, Fangyuan Qu, Zhaoxiang Ye, Robert J Gillies, Hugo J W L Aerts
Tumor phenotypes captured in computed tomography (CT) images can be described qualitatively and quantitatively using radiologist-defined "semantic" and computer-derived "radiomic" features, respectively. While both types of features have shown to be promising predictors of prognosis, the association between these groups of features remains unclear. We investigated the associations between semantic and radiomic features in CT images of 258 non-small cell lung adenocarcinomas. The tumor imaging phenotypes were described using 9 qualitative semantic features that were scored by radiologists, and 57 quantitative radiomic features that were automatically calculated using mathematical algorithms...
June 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28612050/a-rapid-segmentation-insensitive-digital-biopsy-method-for-radiomic-feature-extraction-method-and-pilot-study-using-ct-images-of-non-small-cell-lung-cancer
#10
Sebastian Echegaray, Viswam Nair, Michael Kadoch, Ann Leung, Daniel Rubin, Olivier Gevaert, Sandy Napel
Quantitative imaging approaches compute features within images' regions of interest. Segmentation is rarely completely automatic, requiring time-consuming editing by experts. We propose a new paradigm, called "digital biopsy," that allows for the collection of intensity- and texture-based features from these regions at least 1 order of magnitude faster than the current manual or semiautomated methods. A radiologist reviewed automated segmentations of lung nodules from 100 preoperative volume computed tomography scans of patients with non-small cell lung cancer, and manually adjusted the nodule boundaries in each section, to be used as a reference standard, requiring up to 45 minutes per nodule...
December 2016: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28604371/factors-influencing-the-robustness-of-p-value-measurements-in-ct-texture-prognosis-studies
#11
Sarah McQuaid, James Scuffham, Sheaka Alobaidli, Vineet Prakash, Veni Ezhil, Andrew Nisbet, Christopher South, Philip Evans
Several studies have recently reported on the value of CT texture analysis in predicting survival, although the topic remains controversial, with further validation needed in order to consolidate the evidence base. The aim of this study was to investigate the effect of varying the input parameters in the Kaplan-Meier analysis, to determine whether the resulting P-value can be considered to be a robust indicator of the parameter's prognostic potential. A retrospective analysis of the CT-based normalised entropy of 51 patients with lung cancer was performed and overall survival data for these patients were collected...
July 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28592911/marginal-shape-deep-learning-applications-to-pediatric-lung-field-segmentation
#12
Awais Mansoor, Juan J Cerrolaza, Geovanny Perez, Elijah Biggs, Gustavo Nino, Marius George Linguraru
Representation learning through deep learning (DL) architecture has shown tremendous potential for identification, localization, and texture classification in various medical imaging modalities. However, DL applications to segmentation of objects especially to deformable objects are rather limited and mostly restricted to pixel classification. In this work, we propose marginal shape deep learning (MaShDL), a framework that extends the application of DL to deformable shape segmentation by using deep classifiers to estimate the shape parameters...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28552117/feature-selection-using-ant-colony-optimization-with-tandem-run-recruitment-to-diagnose-bronchitis-from-ct-scan-images
#13
J Dhalia Sweetlin, H Khanna Nehemiah, A Kannan
BACKGROUND AND OBJECTIVES: Computer-aided diagnosis (CAD) plays a vital role in the routine clinical activity for the detection of lung disorders using computed tomography (CT) images. It serves as a source of second opinion that radiologists may consider in order to interpret CT images. In this work, the purpose of CAD is to improve the diagnostic accuracy of pulmonary bronchitis from CT images of the lung. METHODS: Left and right lung fields are segmented using optimal thresholding from the lung CT images...
July 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28545080/computerized-margin-and-texture-analyses-for-differentiating-bacterial-pneumonia-and-invasive-mucinous-adenocarcinoma-presenting-as-consolidation
#14
Hyun Jung Koo, Mi Young Kim, Ja Hwan Koo, Yu Sub Sung, Jiwon Jung, Sung-Han Kim, Chang-Min Choi, Hwa Jung Kim
Radiologists have used margin characteristics based on routine visual analysis; however, the attenuation changes at the margin of the lesion on CT images have not been quantitatively assessed. We established a CT-based margin analysis method by comparing a target lesion with normal lung attenuation, drawing a slope to represent the attenuation changes. This approach was applied to patients with invasive mucinous adenocarcinoma (n = 40) or bacterial pneumonia (n = 30). Correlations among multiple regions of interest (ROIs) were obtained using intraclass correlation coefficient (ICC) values...
2017: PloS One
https://www.readbyqxmd.com/read/28544679/sima-a-simplified-migration-assay-for-analyzing-neutrophil-migration
#15
Markus Weckmann, Tim Becker, Gyde Nissen, Martin Pech, Matthias V Kopp
In lung inflammation, neutrophils are the first leukocytes migrating to an inflammatory site, eliminating pathogens by multiple mechanisms. The term "migration" describes several stages of neutrophil movement to reach the site of inflammation, of which the passage of the interstitium and basal membrane of the airway are necessary to reach the site of bronchial inflammation. Currently, several methods exist (e.g., Boyden Chamber, under-agarose assay, or microfluidic systems) to assess neutrophil mobility. However, these methods do not allow for parameterization on single cell level, that is, the individual neutrophil pathway analysis is still considered challenging...
May 19, 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28526968/computer-aided-diagnosis-of-lung-nodules-in-computed-tomography-by-using-phylogenetic-diversity-genetic-algorithm-and-svm
#16
Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassú Nunes, Marcelo Gattass
Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI). The proposed methodology uses image processing and pattern recognition techniques. In order to differentiate between the patterns of malignant and benign nodules, we used phylogenetic diversity by means of particular indexes, that are: intensive quadratic entropy, extensive quadratic entropy, average taxonomic distinctness, total taxonomic distinctness, and pure diversity indexes...
May 19, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
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
#17
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/28523317/mri-as-indicator-of-pulmonary-tuberculosis-activity-from-morphological-to-molecular-level-assessment-a-case-report
#18
Maria Teodora Antuaneta Buzan, Hanelore Herta, Mihaela Maria Coman, Daniela Homorodean, Silviu Andrei Sfrângeu, Carmen Monica Pop
We present the case of an adult patient with active post-primary pulmonary tuberculosis (TB) and discuss specific morphological and textural aspects found at high-field magnetic resonance imaging (MRI) of the lung. The 42-year-old man, heavy smoker, undertook a routine employment medical examination and was admitted to a referral pulmonology and TB center due to the abnormal findings seen on his chest radiography. The patient presented nonspecific symptoms, bilateral bronchial breath at pulmonary auscultation, inflammatory syndrome on the laboratory blood tests and positive sputum smears for acid-fast bacilli, which together with the typical aspect on the chest radiography lead to a diagnosis of post-primary pulmonary TB and administration of specific medication...
2017: Romanian Journal of Morphology and Embryology, Revue Roumaine de Morphologie et Embryologie
https://www.readbyqxmd.com/read/28522257/can-ct-measures-of-tumour-heterogeneity-stratify-risk-for-nodal-metastasis-in-patients-with-non-small-cell-lung-cancer
#19
M Craigie, J Squires, K Miles
AIM: To undertake a preliminary assessment of the potential for computed tomography (CT) measurement of tumour heterogeneity to stratify risk of nodal metastasis in patients with non-small cell lung cancer (NSCLC). MATERIALS AND METHODS: Tumour heterogeneity in CT images from combined positron-emission tomography (PET)/CT examinations in 150 consecutive patients with NSCLC was assessed using CT texture analysis (CTTA). The short axis diameter of the largest mediastinal node was also measured...
May 15, 2017: Clinical Radiology
https://www.readbyqxmd.com/read/28520778/texture-analysis-using-proton-density-and-t2-relaxation-in-patients-with-histological-usual-interstitial-pneumonia-uip-or-nonspecific-interstitial-pneumonia-nsip
#20
Maria T A Buzan, Andreas Wetscherek, Claus Peter Heussel, Michael Kreuter, Felix J Herth, Arne Warth, Hans-Ulrich Kauczor, Carmen Monica Pop, Julien Dinkel
OBJECTIVES: The purpose of our study was to assess proton density (PD) and T2 relaxation time of usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP) and to evaluate their utility in differentiating the two patterns. Furthermore, we aim to investigate whether these two parameters could help differentiate active-inflammatory and stable-fibrotic lesions in NSIP. METHODS: 32 patients (mean age: 69 years; M:F, 1:1) with pathologically proven disease (UIP:NSIP, 1:1), underwent thoracic thin-section multislice CT scan and 1...
2017: PloS One
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