Read by QxMD icon Read

CT lung texture

Matea Pavic, Marta Bogowicz, Xaver Würms, Stefan Glatz, Tobias Finazzi, Oliver Riesterer, Johannes Roesch, Leonie Rudofsky, Martina Friess, Patrick Veit-Haibach, Martin Huellner, Isabelle Opitz, Walter Weder, Thomas Frauenfelder, Matthias Guckenberger, Stephanie Tanadini-Lang
BACKGROUND: Radiomics is a promising methodology for quantitative analysis and description of radiological images using advanced mathematics and statistics. Tumor delineation, which is still often done manually, is an essential step in radiomics, however, inter-observer variability is a well-known uncertainty in radiation oncology. This study investigated the impact of inter-observer variability (IOV) in manual tumor delineation on the reliability of radiomic features (RF). METHODS: Three different tumor types (head and neck squamous cell carcinoma (HNSCC), malignant pleural mesothelioma (MPM) and non-small cell lung cancer (NSCLC)) were included...
March 7, 2018: Acta Oncologica
Syed Muhammad Naqi, Muhammad Sharif, Mussarat Yasmin
PURPOSE: Lung cancer detection at its initial stages increases the survival chances of patients. Automatic detection of lung nodules facilitates radiologists during the diagnosis. However, there is a challenge of false positives in automated systems which may lead to wrong findings. Precise segmentation facilitates to accurately extract nodules from lung CT images in order to improve performance of the diagnostic method. METHODS: A multistage segmentation model is presented in this study...
February 28, 2018: International Journal of Computer Assisted Radiology and Surgery
J G Cohen, E Reymond, M Medici, M Lederlin, S Lantuejoul, F Laurent, A C Toffart, A Moreau-Gaudry, A Jankowski, G R Ferretti
PURPOSE: The purpose of this study was to evaluate the usefulness of computed tomography-texture analysis (CTTA) in differentiating between in-situ and minimally-invasive from invasive adenocarcinomas in subsolid lung nodules (SSLNs). MATERIAL AND METHODS: Two radiologists retrospectively reviewed 49 SSLNs in 44 patients. There were 27 men and 17 women with a mean age of 63±7 (SD) years (range: 47-78years). For each SSLN, type (pure ground-glass or part-solid) was assessed by consensus and CTTA was conducted independently by each observer using a filtration-histogram technique...
February 21, 2018: Diagnostic and Interventional Imaging
Montserrat Carles, Thomas Bach, Irene Torres-Espallardo, Dimos Baltas, Ursula Nestle, Luis Martí-Bonmatí
In lung cancer, quantification by Positron-Emission-Tomography/Computed-Tomography (PET/CT) imaging presents challenges due to respiratory movement. Our primary aim was to study the impact of the compensation of motion implied by retrospectively gated (4D)-PET/CT on the variability of PET quantitative parameters. Its significance was evaluated by comparison with respect to the variability due to (i) the voxel size comprised by image reconstruction and (ii) the voxel size in image post-resampling. The method employed for features extraction was chosen based on the analysis of: (i) the effect of the standardized-uptake-value (SUV) discretization on the complementarity between texture features (TF) and the conventional indexes; (ii) the impact of the segmentation method on image features variability and (iii) the variability of image features across the time frames of 4D-PET...
February 22, 2018: Physics in Medicine and Biology
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
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
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)
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
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
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 ..
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
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
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
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
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
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
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
Guohui Wei, Hui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma
Similarity measurement of lung nodules is a critical component in content-based image retrieval (CBIR), which can be useful in differentiating between benign and malignant lung nodules on computer tomography (CT). This paper proposes a new two-step CBIR scheme (TSCBIR) for computer-aided diagnosis of lung nodules. Two similarity metrics, semantic relevance and visual similarity, are introduced to measure the similarity of different nodules. The first step is to search for K most similar reference ROIs for each queried ROI with the semantic relevance metric...
November 29, 2017: Journal of Medical Systems
Mario Silva, Gianluca Milanese, Valeria Seletti, Alarico Ariani, Nicola Sverzellati
The frenetic development of imaging technology-both hardware and software-provides exceptional potential for investigation of the lung. In the last two decades, CT was exploited for detailed characterization of pulmonary structures and description of respiratory disease. The introduction of volumetric acquisition allowed increasingly sophisticated analysis of CT data by means of computerized algorithm, namely quantitative CT (QCT). Hundreds of thousands of CTs have been analysed for characterization of focal and diffuse disease of the lung...
February 2018: British Journal of Radiology
Guohui Wei, He Ma, Wei Qian, Hongyang Jiang, Xinzhuo Zhao
Similarity metric of the lung nodules can be useful in differentiating between benign and malignant lung nodule lesions on computed tomography (CT). Unlike previous computerized schemes, which focus on the features extracting, we concentrate on similarity metric of the lung nodules. In this study, we first assemble a lung nodule dataset which is from LIDC-IDRI lung CT images. This dataset includes 746 lung nodules in which 375 domain radiologists identified malignant nodules and 371 domain radiologists-identified benign nodules...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"