AIMC Topic: Lung Neoplasms

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Cancer Informatics in 2019: Deep Learning Takes Center Stage.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVE: To summarize significant research contributions on cancer informatics published in 2019.
Medical Oncology Medical Informatics Deep Learning Lung Neoplasms Radiography Humans Neoplasms
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The deep learning model combining CT image and clinicopathological information for predicting ALK fusion status and response to ALK-TKI therapy in non-small cell lung cancer patients.

European journal of nuclear medicine and molecular imaging Aug 13, 2020
PURPOSE: This study aimed to investigate the deep learning model (DLM) combining computed tomography (CT) images and clinicopathological information for predicting anaplastic lymphoma kinase (ALK) fusion status in non-small cell lung cancer (NSCLC) p...
Tomography, X-Ray Computed Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Protein Kinase Inhibitors Anaplastic Lymphoma Kinase Humans Retrospective Studies
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Development and clinical application of deep learning model for lung nodules screening on CT images.

Scientific reports Aug 12, 2020
Lung cancer screening based on low-dose CT (LDCT) has now been widely applied because of its effectiveness and ease of performance. Radiologists who evaluate a large LDCT screening images face enormous challenges, including mechanical repetition and ...
Male Middle Aged Deep Learning China Algorithms Retrospective Studies Tomography, X-Ray Computed Female Early Detection of Cancer Image Processing, Computer-Assisted Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Humans Artificial Intelligence
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Identifying sarcopenia in advanced non-small cell lung cancer patients using skeletal muscle CT radiomics and machine learning.

Thoracic cancer Aug 6, 2020
BACKGROUND: Sarcopenia has been confirmed as a poor prognostic indicator of lung cancer. However, the lack of abdominal computed tomography (CT) hindered the application to assess the status of sarcopenia. The purpose of this study was to assess the ...
Humans Machine Learning Prognosis Sarcopenia Retrospective Studies Male Radiometry Tomography, X-Ray Computed Female Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation.

Journal of medical Internet research Aug 5, 2020
BACKGROUND: Chest computed tomography (CT) is crucial for the detection of lung cancer, and many automated CT evaluation methods have been proposed. Due to the divergent software dependencies of the reported approaches, the developed methods are rare...
Algorithms Tomography, X-Ray Computed Reproducibility of Results Lung Neoplasms Humans Machine Learning
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Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).

PloS one Aug 3, 2020
BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. Nonetheless, the leading cause of mortality in the study was from...
Coronary Vessels Risk Factors Clinical Trials, Phase III as Topic Male National Cancer Institute (U.S.) Randomized Controlled Trials as Topic Humans Emphysema Cardiovascular Diseases United States Machine Learning Risk Assessment Radiographic Image Interpretation, Computer-Assisted Middle Aged Retrospective Studies Mass Screening Cigarette Smoking Lung Tomography, X-Ray Computed Early Detection of Cancer Lung Neoplasms Female Liver Fatty Liver
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Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges.

Journal of infection and public health Aug 2, 2020
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of pathological changes. Cancerous cells are abnormal areas often growing in any part of human body that are life-threatening. Cancer also known as tumor must be qui...
Surveys and Questionnaires Liver Neoplasms Image Processing, Computer-Assisted Lung Neoplasms Humans Breast Neoplasms Machine Learning Brain Neoplasms Tomography, X-Ray Computed Male Female Neoplasms Skin Neoplasms Sensitivity and Specificity Magnetic Resonance Imaging Precursor Cell Lymphoblastic Leukemia-Lymphoma
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A Simple Method to Train the AI Diagnosis Model of Pulmonary Nodules.

Computational and mathematical methods in medicine Aug 1, 2020
BACKGROUND: The differential diagnosis of subcentimetre lung nodules with a diameter of less than 1 cm has always been one of the problems of imaging doctors and thoracic surgeons. We plan to create a deep learning model for the diagnosis of pulmonar...
Multiple Pulmonary Nodules Expert Systems Tomography, X-Ray Computed Humans Expert Testimony Solitary Pulmonary Nodule Deep Learning Adenocarcinoma of Lung Artificial Intelligence Diagnosis, Differential Lung Neoplasms Databases, Factual Radiographic Image Interpretation, Computer-Assisted Carcinoma, Non-Small-Cell Lung
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Artificial Intelligence in Lung Cancer: Bridging the Gap Between Computational Power and Clinical Decision-Making.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jul 31, 2020
Lung cancer remains the most common cause of cancer death worldwide. Recent advances in lung cancer screening, radiotherapy, surgical techniques, and systemic therapy have led to increasing complexity in diagnosis, treatment decision-making, and asse...
Humans Artificial Intelligence Clinical Decision-Making Lung Lung Neoplasms Diagnostic Imaging Image Interpretation, Computer-Assisted
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Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise.

Korean journal of radiology Jul 27, 2020
OBJECTIVE: Iterative reconstruction degrades image quality. Thus, further advances in image reconstruction are necessary to overcome some limitations of this technique in low-dose computed tomography (LDCT) scan of the chest. Deep-learning image reco...
Humans Lung Neoplasms Aged, 80 and over Signal-To-Noise Ratio Retrospective Studies Early Detection of Cancer Thorax Male Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Middle Aged Female Radiation Dosage Deep Learning Aged
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