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https://www.readbyqxmd.com/read/29457229/radiomics-analysis-of-pulmonary-nodules-in-low-dose-ct-for-early-detection-of-lung-cancer
#1
Wookjin Choi, Jung Hun Oh, Sadegh Riyahi, Chia-Ju Liu, Feng Jiang, Wengen Chen, Charles White, Andreas Rimner, James G Mechalakos, Joseph O Deasy, Wei Lu
PURPOSE: To develop a radiomics prediction model to improve pulmonary nodule (PN) classification in low-dose CT. To compare the model with the American College of Radiology (ACR) Lung CT Screening Reporting and Data System (Lung-RADS) for early detection of lung cancer. METHODS: We examined a set of 72 PNs (31 benign and 41 malignant) from the Lung Image Database Consortium image collection (LIDC-IDRI). 103 CT radiomic features were extracted from each PN. Before the model building process, distinctive features were identified using a hierarchical clustering method...
February 19, 2018: Medical Physics
https://www.readbyqxmd.com/read/29416740/prognostic-value-of-histogram-analysis-in-advanced-non-small-cell-lung-cancer-a-radiomic-study
#2
Bluthgen Maria Virginia, Faivre Laura, Rosellini Silvia, Ferrara Roberto, Facchinetti Francesco, Haspinger Eva, Ferte Charles, Ammari Samy, Michiels Stefan, Soria Jean-Charles, Caramella Caroline, Besse Benjamin
Introduction: Quantitative assessment of heterogeneity by histogram analysis (HA) of tumor images can potentially provide a non-invasive prognostic biomarker. We assessed the prognostic value of HA and evaluated a correlation with molecular signature. Results: CT scans performed between July 2009 and January 2015 from 692 patients were reviewed. HA was performed on scans from 313 patients in the training dataset and 108 in the validation dataset. Median follow-up were 33...
January 5, 2018: Oncotarget
https://www.readbyqxmd.com/read/29403060/effect-of-tube-current-on-computed-tomography-radiomic-features
#3
Dennis Mackin, Rachel Ger, Cristina Dodge, Xenia Fave, Pai-Chun Chi, Lifei Zhang, Jinzhong Yang, Steve Bache, Charles Dodge, A Kyle Jones, Laurence Court
Variability in the x-ray tube current used in computed tomography may affect quantitative features extracted from the images. To investigate these effects, we scanned the Credence Cartridge Radiomics phantom 12 times, varying the tube current from 25 to 300 mA∙s while keeping the other acquisition parameters constant. For each of the scans, we extracted 48 radiomic features from the categories of intensity histogram (n = 10), gray-level run length matrix (n = 11), gray-level co-occurrence matrix (n = 22), and neighborhood gray tone difference matrix (n = 5)...
February 5, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29398439/radiologist-engagement-as-a-potential-barrier-to-the-clinical-translation-of-quantitative-imaging-for-the-assessment-of-tumor-heterogeneity
#4
Kenneth Alan Miles, Julia Squires, Michelle Murphy
RATIONALE AND OBJECTIVE: This study aims to identify potential barriers to the clinical implementation of quantitative imaging for the assessment of tumor heterogeneity. MATERIALS AND METHODS: An 18-month prospective observational study was undertaken in which the clinical implementation of computed tomography texture analysis (CTTA) as a technique for quantifying tumor heterogeneity in patients with non-small cell lung cancer was assessed using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework...
February 2, 2018: Academic Radiology
https://www.readbyqxmd.com/read/29397275/rotation-covariant-tissue-analysis-for-interstitial-lung-diseases-using-learned-steerable-filters-performance-evaluation-and-relevance-for-diagnostic-aid
#5
Ranveer Joyseeree, Henning Müller, Adrien Depeursinge
A novel method to detect and classify several classes of diseased and healthy lung tissue of interstitial lung diseases is presented, as these diseases are hard to diagnose and differentiate. Local organizations of image directions at several scales drive the process of creating discriminative lung tissue texture signatures using spatial and Fourier domain information extracted from the images. The signatures are generated for four diseased tissue classes and healthy tissue, all of which appear in the Interstitial Lung Disease (ILD) database, using a novel one-versus-one approach for learning discriminative filter signatures...
January 11, 2018: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/29390280/clinical-and-pathology-analysis-of-1-case-of-adult-pleural-pulmonary-blastoma-a-case-report
#6
Yi Liu, Dongbo Luo, Tongxin Du, Hongjiang Wang
RATIONALE: Pulmonary blastoma is a rare primary lung cancer that can be categorized into adult type and child type. The clinical symptoms and imaging features of pulmonary blastoma are nonspecific, making it difficult to diagnose preoperatively. Postoperative pathology with immunohistochemical staining can help diagnosis. PATIENT CONCERNS: A 53-year-old male had chest tightness and shortness of breath. DIAGNOSES: The patient was diagnosed as pleural pulmonary blastoma based on computed tomography (CT) scan, pathology, immunohistochemistry, and molecular pathology...
December 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/29385152/intratumoral-heterogeneity-characterized-by-pretreatment-pet-in-non-small-cell-lung-cancer-patients-predicts-progression-free-survival-on-egfr-tyrosine-kinase-inhibitor
#7
Sehhoon Park, Seunggyun Ha, Se-Hoon Lee, Jin Chul Paeng, Bhumsuk Keam, Tae Min Kim, Dong-Wan Kim, Dae Seog Heo
Intratumoral heterogeneity has been suggested to be an important resistance mechanism leading to treatment failure. We hypothesized that radiologic images could be an alternative method for identification of tumor heterogeneity. We tested heterogeneity textural parameters on pretreatment FDG-PET/CT in order to assess the predictive value of target therapy. Recurred or metastatic non-small cell lung cancer (NSCLC) subjects with an activating EGFR mutation treated with either gefitinib or erlotinib were reviewed...
2018: PloS One
https://www.readbyqxmd.com/read/29374742/associations-between-pet-textural-features-and-glut1-expression-and-the-prognostic-significance-of-textural-features-in-lung-adenocarcinoma
#8
Young Wha Koh, Seong Yong Park, Seung Hyup Hyun, Su Jin Lee
BACKGROUND/AIM: We evaluated the association between positron emission tomography (PET) textural features and glucose transporter 1 (GLUT1) expression level and further investigated the prognostic significance of textural features in lung adenocarcinoma. PATIENTS AND METHODS: We evaluated 105 adenocarcinoma patients. We extracted texture-based PET parameters of primary tumors. Conventional PET parameters were also measured. The relationships between PET parameters and GLUT1 expression levels were evaluated...
February 2018: Anticancer Research
https://www.readbyqxmd.com/read/29359462/automatic-detection-of-multisize-pulmonary-nodules-in-ct-images-large-scale-validation-of-the-false-positive-reduction-step
#9
Anindya Gupta, Tonis Saar, Olev Martens, Yannick Le Moullec
PURPOSE: Currently reported computer-aided detection (CAD) approaches face difficulties in identifying the diverse pulmonary nodules in thoracic computed tomography (CT) images, especially in heterogeneous datasets. We present a novel CAD system specifically designed to identify multisize nodule candidates in multiple heterogeneous datasets. METHODS: The proposed CAD scheme is divided into two phases: primary phase and final phase. The primary phase started with the lung segmentation algorithm and the segmented lungs were further refined using morphological closing process to include the pleural nodules...
January 23, 2018: Medical Physics
https://www.readbyqxmd.com/read/29354811/unsupervised-discovery-of-spatially-informed-lung-texture-patterns-for-pulmonary-emphysema-the-mesa-copd-study
#10
Jie Yang, Elsa D Angelini, Pallavi P Balte, Eric A Hoffman, John H M Austin, Benjamin M Smith, Jingkuan Song, R Graham Barr, Andrew F Laine
Unsupervised discovery of pulmonary emphysema subtypes offers the potential for new definitions of emphysema on lung computed tomography (CT) that go beyond the standard subtypes identified on autopsy. Emphysema subtypes can be defined on CT as a variety of textures with certain spatial prevalence. However, most existing approaches for learning emphysema subtypes on CT are limited to texture features, which are sub-optimal due to the lack of spatial information. In this work, we exploit a standardized spatial mapping of the lung and propose a novel framework for combining spatial and texture information to discover spatially-informed lung texture patterns (sLTPs)...
September 2017: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/29340286/cancer-imaging-phenomics-toolkit-quantitative-imaging-analytics-for-precision-diagnostics-and-predictive-modeling-of-clinical-outcome
#11
Christos Davatzikos, Saima Rathore, Spyridon Bakas, Sarthak Pati, Mark Bergman, Ratheesh Kalarot, Patmaa Sridharan, Aimilia Gastounioti, Nariman Jahani, Eric Cohen, Hamed Akbari, Birkan Tunc, Jimit Doshi, Drew Parker, Michael Hsieh, Aristeidis Sotiras, Hongming Li, Yangming Ou, Robert K Doot, Michel Bilello, Yong Fan, Russell T Shinohara, Paul Yushkevich, Ragini Verma, Despina Kontos
The growth of multiparametric imaging protocols has paved the way for quantitative imaging phenotypes that predict treatment response and clinical outcome, reflect underlying cancer molecular characteristics and spatiotemporal heterogeneity, and can guide personalized treatment planning. This growth has underlined the need for efficient quantitative analytics to derive high-dimensional imaging signatures of diagnostic and predictive value in this emerging era of integrated precision diagnostics. This paper presents cancer imaging phenomics toolkit (CaPTk), a new and dynamically growing software platform for analysis of radiographic images of cancer, currently focusing on brain, breast, and lung cancer...
January 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29325682/computer-based-quantitative-computed-tomography-image-analysis-in-idiopathic-pulmonary-fibrosis-a-mini-review
#12
REVIEW
Hirotsugu Ohkubo, Hiroaki Nakagawa, Akio Niimi
Idiopathic pulmonary fibrosis (IPF) is the most common type of progressive idiopathic interstitial pneumonia in adults. Many computer-based image analysis methods of chest computed tomography (CT) used in patients with IPF include the mean CT value of the whole lungs, density histogram analysis, density mask technique, and texture classification methods. Most of these methods offer good assessment of pulmonary functions, disease progression, and mortality. Each method has merits that can be used in clinical practice...
January 2018: Respiratory Investigation
https://www.readbyqxmd.com/read/29312866/quantitative-texture-analysis-on-pre-treatment-computed-tomography-predicts-local-recurrence-in-stage-i-non-small-cell-lung-cancer-following-stereotactic-radiation-therapy
#13
Carole Dennie, Rebecca Thornhill, Carolina A Souza, Cecilia Odonkor, Jason R Pantarotto, Robert MacRae, Graham Cook
Background: The prediction of local recurrence (LR) of stage I non-small cell lung cancer (NSCLC) after definitive stereotactic body radiotherapy (SBRT) remains elusive. The purpose of this study was to assess whether quantitative imaging features on pre-treatment computed tomography (CT) can predict LR beyond 18 (18F) fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT maximum standard uptake value (SUVmax). Methods: This retrospective study evaluated 36 patients with 37 stage I NSCLC who had local tumor control (LC; n=19) and (LR; n=18)...
December 2017: Quantitative Imaging in Medicine and Surgery
https://www.readbyqxmd.com/read/29290259/radiomics-and-radiogenomics-in-lung-cancer-a-review-for-the-clinician
#14
REVIEW
Rajat Thawani, Michael McLane, Niha Beig, Soumya Ghose, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with delayed detection being perhaps the most significant factor for its high mortality rate. Though the National Lung Screening Trial argues for screening of certain at-risk populations, the practical implementation of these screening efforts has not yet been successful and remains in high demand. Radiomics refers to the computerized extraction of data from radiologic images, and provides unique potential for making lung cancer screening more rapid and accurate using machine learning algorithms...
January 2018: Lung Cancer: Journal of the International Association for the Study of Lung Cancer
https://www.readbyqxmd.com/read/29275617/-treatment-of-patients-with-different-degree-of-acute-respiratory-distress-syndrome-caused-by-inhalation-of-white-smoke
#15
F W Yang, H M Xin, J H Zhu, X Y Feng, X C Jiang, Z Y Gong, Y L Tong
Objective: To summarize the treatment experience of patients with different degree of acute respiratory distress syndrome (ARDS) caused by inhalation of white smoke from burning smoke bomb. Methods: A batch of 13 patients with different degree of ARDS caused by inhalation of white smoke from burning smoke bomb, including 2 patients complicated by pulmonary fibrosis at the late stage, were admitted to our unit in February 2016. Patients were divided into mild (9 cases), moderate (2 cases), and serious (2 cases) degree according to the ARDS Berlin diagnostic criteria...
December 20, 2017: Zhonghua Shao Shang za Zhi, Zhonghua Shaoshang Zazhi, Chinese Journal of Burns
https://www.readbyqxmd.com/read/29251666/advanced-pet-imaging-in-oncology-status-and-developments-with-current-and-future-relevance-to-lung-cancer-care
#16
Wieland Voigt
PURPOSE OF REVIEW: This review highlights the status and developments of PET imaging in oncology, with particular emphasis on lung cancer. We discuss the significance of PET for diagnosis, staging, decision-making, monitoring of treatment response, and drug development. The PET key advantage, the noninvasive assessment of functional and molecular tumor characteristics including tumor heterogeneity, as well as PET trends relevant to cancer care are exemplified. RECENT FINDINGS: Advances of PET and radiotracer technology are encouraging for multiple fields of oncological research and clinical application, including in-depth assessment of PET images by texture analysis (radiomics)...
December 14, 2017: Current Opinion in Oncology
https://www.readbyqxmd.com/read/29247171/computer-aided-nodule-assessment-and-risk-yield-canary-may-facilitate-non-invasive-prediction-of-egfr-mutation-status-in-lung-adenocarcinomas
#17
Ryan Clay, Benjamin R Kipp, Sarah Jenkins, Ron A Karwoski, Fabien Maldonado, Srinivasan Rajagopalan, Jesse S Voss, Brian J Bartholmai, Marie Christine Aubry, Tobias Peikert
Computer-Aided Nodule Assessment and Risk Yield (CANARY) is quantitative imaging analysis software that predicts the histopathological classification and post-treatment disease-free survival of patients with adenocarcinoma of the lung. CANARY characterizes nodules by the distribution of nine color-coded texture-based exemplars. We hypothesize that quantitative computed tomography (CT) analysis of the tumor and tumor-free surrounding lung facilitates non-invasive identification of clinically-relevant mutations in lung adenocarcinoma...
December 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29221270/analysis-of-the-clinical-differentiation-of-pulmonary-sclerosing-pneumocytoma-and-lung-cancer
#18
Jun Zhu
Background: Pulmonary sclerosing pneumocytoma (PSP) is a rare benign lung tumor. This study investigated the diagnostic experience of PSP and lung cancer. Methods: This study is a retrospective study. We observed the locations of lung lesions, imaging form and clinical symptoms, and recorded the surgical complications through comparing patients with PSP and lung cancer. Results: From December 2012 to February 2017, 187 PSP cases and 197 lung cancer cases were collected...
September 2017: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/29202136/explaining-radiological-emphysema-subtypes-with-unsupervised-texture-prototypes-mesa-copd-study
#19
Jie Yang, Elsa D Angelini, Benjamin M Smith, John H M Austin, Eric A Hoffman, David A Bluemke, R Graham Barr, Andrew F Laine
Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of chronic obstructive pulmonary disease (COPD). Automated texture-based quantification of emphysema subtypes has been successfully implemented via supervised learning of these three emphysema subtypes. In this work, we demonstrate that unsupervised learning on a large heterogeneous database of CT scans can generate texture prototypes that are visually homogeneous and distinct, reproducible across subjects, and capable of predicting accurately the three standard radiological subtypes...
2017: Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers
https://www.readbyqxmd.com/read/29200686/an-investigation-of-bayes-algorithm-and-neural-networks-for-identifying-the-breast-cancer
#20
E Udayakumar, S Santhi, P Vetrivelan
Context: Breast cancer is a biggest threat to women. X-ray mammography is the most effective method for early detection and screening of breast cancer. It is a tough challenge for the radiologist in reading mammography since it does not provide consistent result every time. Aim: To improve the primary sign of this disease, computer-aided diagnosis schemes have been developed. Using monitor, digital images of mammography are displayed and they can be lightened or darkened before they are printed on the film...
July 2017: Indian Journal of Medical and Paediatric Oncology
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