AIMC Topic: Lung

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Chest wall dose reduction using noncoplanar volumetric modulated arc radiation therapy for lung stereotactic ablative radiation therapy.

Practical radiation oncology Dec 19, 2017
PURPOSE: Stereotactic ablative radiation therapy (SABR) to lung tumors close to the chest wall can cause rib fractures or chest wall pain. We evaluated and propose a clinically practical solution of using noncoplanar volumetric modulated arc radiatio...
Lung Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Dose Fractionation, Radiation Lung Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Thoracic Wall
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Radiomics and radiogenomics in lung cancer: A review for the clinician.

Lung cancer (Amsterdam, Netherlands) Nov 8, 2017
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 o...
Lung Neoplasms Early Detection of Cancer Diagnostic Imaging Humans Reference Standards Software Algorithms Prognosis Animals Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted
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Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

IEEE transactions on medical imaging Sep 27, 2017
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. However, lacking the capability to represent local characteristics of interested structures of the LdCT ...
Humans Machine Learning Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Imaging, Three-Dimensional Databases, Factual Lung Neoplasms Tomography, X-Ray Computed Principal Component Analysis Lung
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Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 23, 2017
The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques, i.e., fuzzy-c-means clustering method (FCM), and the artificial neural network (ANN) and support vector machine (SVM), on an automated framework for ...
Positron Emission Tomography Computed Tomography Radiopharmaceuticals Radiotherapy Planning, Computer-Assisted Imaging, Three-Dimensional Lung Neoplasms Fuzzy Logic Radiosurgery Tumor Burden Pattern Recognition, Automated Fluorodeoxyglucose F18 Female Reproducibility of Results Aged Lung Time Factors Aged, 80 and over Male Humans Neural Networks, Computer Machine Learning
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Sparse Supervised Classification Methods Predict and Characterize Nanomaterial Exposures: Independent Markers of MWCNT Exposures.

Toxicologic pathology Sep 22, 2017
Recent experimental evidence indicates significant pulmonary toxicity of multiwalled carbon nanotubes (MWCNTs), such as inflammation, interstitial fibrosis, granuloma formation, and carcinogenicity. Although numerous studies explored the adverse pote...
Nanotubes, Carbon Bronchoalveolar Lavage Fluid Male Lung Mice Support Vector Machine Biomarkers Mice, Inbred C57BL Animals
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Mesoporous carbon nanomaterials induced pulmonary surfactant inhibition, cytotoxicity, inflammation and lung fibrosis.

Journal of environmental sciences (China) Sep 8, 2017
Environmental exposure and health risk upon engineered nanomaterials are increasingly concerned. The family of mesoporous carbon nanomaterials (MCNs) is a rising star in nanotechnology for multidisciplinary research with versatile applications in ele...
Animals Lung Humans Nanotubes, Carbon Pulmonary Surfactants Mice Fibrosis Nanostructures
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Persistent light to moderate alcohol intake and lung function: A longitudinal study.

Alcohol (Fayetteville, N.Y.) Sep 1, 2017
Alcohol intake has been inconsistently associated with lung function levels in cross-sectional studies. The goal of our study was to determine whether longitudinally assessed light-to-moderate alcohol intake is associated with levels and decline of l...
Spirometry Aged Middle Aged Follow-Up Studies Adult Cohort Studies Humans Alcohol Drinking Lung Male Longitudinal Studies Prospective Studies Surveys and Questionnaires Female
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Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network.

Scientific reports Sep 1, 2017
We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-solid and non-solid nodules in pulmonary computerized tomography images using a Convolutional Neural Network (CNN). Provided with only a two-dimension...
Humans Diagnosis, Computer-Assisted Neural Networks, Computer Lung Neoplasms Databases, Factual Solitary Pulmonary Nodule Tomography, X-Ray Computed Diagnosis, Differential Lung
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Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.

Medical physics Aug 31, 2017
PURPOSE: We propose a single network trained by pixel-to-label deep learning to address the general issue of automatic multiple organ segmentation in three-dimensional (3D) computed tomography (CT) images. Our method can be described as a voxel-wise ...
Tomography, X-Ray Computed Lung Imaging, Three-Dimensional Humans Machine Learning
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An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network.

IEEE journal of biomedical and health informatics Jul 14, 2017
High-efficiency lung nodule detection dramatically contributes to the risk assessment of lung cancer. It is a significant and challenging task to quickly locate the exact positions of lung nodules. Extensive work has been done by researchers around t...
Tomography, X-Ray Computed Humans Lung Lung Neoplasms Algorithms Deep Learning Radiographic Image Interpretation, Computer-Assisted
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