AIMC Topic: Lung Neoplasms

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Reductions in pulmonary function detected in patients with lymphangioleiomyomatosis: An analysis of the Japanese National Research Project on Intractable Diseases database.

Respiratory investigation Dec 22, 2015
BACKGROUND: In lymphangioleiomyomatosis (LAM), predicting lung disease progression is essential for treatment planning. However, no previous Japanese studies have attempted to predict the reductions in pulmonary function that occur in LAM patients.
Japan Databases as Topic Statistics as Topic Lymphangioleiomyomatosis Humans Pregnancy Female Adult Male Middle Aged Lung Neoplasms Forced Expiratory Volume
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Improved Classification of Lung Cancer Using Radial Basis Function Neural Network with Affine Transforms of Voss Representation.

PloS one Dec 1, 2015
Lung cancer is one of the diseases responsible for a large number of cancer related death cases worldwide. The recommended standard for screening and early detection of lung cancer is the low dose computed tomography. However, many patients diagnosed...
Biomarkers, Tumor Mice Animals Humans Genomics Lung Neoplasms Databases, Genetic Neural Networks, Computer Mutation
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Diagnosis of Brain Metastases from Lung Cancer Using a Modified Electromagnetism like Mechanism Algorithm.

Journal of medical systems Nov 14, 2015
Brain metastases are commonly found in patients that are diagnosed with primary malignancy on their lung. Lung cancer patients with brain metastasis tend to have a poor survivability, which is less than 6 months in median. Therefore, an early and eff...
Humans Algorithms Female Aged Brain Neoplasms Lung Neoplasms Male Support Vector Machine Middle Aged Taiwan
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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics Nov 11, 2015
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Radiotherapy Esophagitis Radiation Pneumonitis Xerostomia Support Vector Machine Humans Models, Statistical Neural Networks, Computer Radiation Oncology Artificial Intelligence Radiotherapy Dosage Machine Learning Lung Neoplasms Logistic Models Prognosis Treatment Outcome Reproducibility of Results
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Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.

Medical image analysis Sep 8, 2015
In this paper, we tackle the problem of automatic classification of pulmonary peri-fissural nodules (PFNs). The classification problem is formulated as a machine learning approach, where detected nodule candidates are classified as PFNs or non-PFNs. ...
Neural Networks, Computer Software Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Radiographic Image Enhancement Imaging, Three-Dimensional Subtraction Technique Lung Neoplasms Solitary Pulmonary Nodule
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Machine Learning methods for Quantitative Radiomic Biomarkers.

Scientific reports Aug 17, 2015
Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics. Highly accurate and reliable machine-learning approaches can drive the success of radiomic applications in clinical care. In this radi...
Tomography, X-Ray Computed Biomarkers, Tumor ROC Curve Lung Neoplasms Humans Machine Learning Carcinoma, Non-Small-Cell Lung Area Under Curve Survival Analysis
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Robotic radiosurgery system patient-specific QA for extracranial treatments using the planar ion chamber array and the cylindrical diode array.

Journal of applied clinical medical physics Jul 8, 2015
Robotic radiosurgery system has been increasingly employed for extracranial treatments. This work is aimed to study the feasibility of a cylindrical diode array and a planar ion chamber array for patient-specific QA with this robotic radiosurgery sys...
Radiometry Radiotherapy Setup Errors Lung Neoplasms Robotics Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiosurgery Monte Carlo Method Humans Phantoms, Imaging Radiotherapy Dosage Algorithms Radiotherapy, Intensity-Modulated
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Differential diagnosis of pleural mesothelioma using Logic Learning Machine.

BMC bioinformatics Jun 1, 2015
BACKGROUND: Tumour markers are standard tools for the differential diagnosis of cancer. However, the occurrence of nonspecific symptoms and different malignancies involving the same cancer site may lead to a high proportion of misclassifications. Cla...
Humans Pleural Neoplasms Neural Networks, Computer Neoplasm Metastasis Artificial Intelligence Logic Lung Neoplasms Biomarkers, Tumor Diagnosis, Differential Female Decision Trees Male Mesothelioma Mesothelioma, Malignant Middle Aged Cohort Studies
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Bioinformatics approach reveals systematic mechanism underlying lung adenocarcinoma.

Tumori May 21, 2015
BACKGROUND: The purpose of this work was to explore the systematic molecular mechanism of lung adenocarcinoma and gain a deeper insight into it.
Gene Expression Regulation, Neoplastic Membrane Proteins Signal Transduction Adenocarcinoma Protein Array Analysis Gene Ontology Adenocarcinoma of Lung Calcium Peroxisome Proliferator-Activated Receptors Software Gene Expression Profiling Lung Neoplasms Computational Biology Humans Collagen Type X Receptor Cross-Talk
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Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer.

Journal of biomedical informatics May 18, 2015
PURPOSE: Adjuvant chemotherapy (ACT) is used after surgery to prevent recurrence or metastases. However, ACT for non-small cell lung cancer (NSCLC) is still controversial. This study aimed to develop prediction models to distinguish who is suitable f...
Kaplan-Meier Estimate Chemotherapy, Adjuvant Carcinoma, Non-Small-Cell Lung Neoplasm Recurrence, Local Neoplasm Metastasis Proportional Hazards Models Reproducibility of Results Aged Machine Learning Male Computational Biology Algorithms Humans Middle Aged Gene Expression Regulation, Neoplastic Gene Expression Profiling Prognosis Neural Networks, Computer Treatment Outcome Female Lung Neoplasms
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