AIMC Topic: Lung Neoplasms

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Feasibility and safety of robot-assisted thoracic surgery for lung lobectomy in patients with non-small cell lung cancer: a systematic review and meta-analysis.

World journal of surgical oncology May 8, 2017
BACKGROUND: The aim of this study is to evaluate the feasibility and safety of robot-assisted thoracic surgery (RATS) lobectomy versus video-assisted thoracic surgery (VATS) for lobectomy in patients with non-small cell lung cancer (NSCLC).
Humans Feasibility Studies Safety Thoracic Surgery, Video-Assisted Thoracotomy Lung Neoplasms Carcinoma, Non-Small-Cell Lung Robotics Pneumonectomy
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Towards automatic pulmonary nodule management in lung cancer screening with deep learning.

Scientific reports Apr 19, 2017
The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT scans in the near future, which radiologists will have to read in order to decide on a patient follow-up strategy. According to the current guidelines...
Lung Neoplasms Humans Solitary Pulmonary Nodule Tomography, X-Ray Computed Early Detection of Cancer Deep Learning
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Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis.

Computers in biology and medicine Apr 13, 2017
This study aimed to analyze the ability of extracting automatically generated features using deep structured algorithms in lung nodule CT image diagnosis, and compare its performance with traditional computer aided diagnosis (CADx) systems using hand...
Humans Neural Networks, Computer Male Image Processing, Computer-Assisted Lung Neoplasms Predictive Value of Tests Machine Learning Tomography, X-Ray Computed Female
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Identification of transcription factors that may reprogram lung adenocarcinoma.

Artificial intelligence in medicine Apr 1, 2017
BACKGROUND: Lung adenocarcinoma is one of most threatening disease to human health. Although many efforts have been devoted to its genetic study, few researches have been focused on the transcription factors which regulate tumor initiation and progre...
Cell Transformation, Neoplastic Artificial Intelligence Transcription, Genetic Gene Regulatory Networks Adenocarcinoma of Lung Lung Neoplasms Computational Biology Transcription Factors Epigenesis, Genetic Adenocarcinoma Gene Expression Regulation, Neoplastic Databases, Genetic Signal Transduction Humans
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Feasibility of robotic stereotactic body radiotherapy of lung tumors with kilovoltage x-ray beams.

Medical physics Mar 21, 2017
PURPOSE: Robotic Stereotactic body radiation therapy (SBRT) for lung tumors is treatment modality that, for cases of inoperable lung tumors, has shown excellent treatment outcomes. The typical photon energy when delivering this type of treatments is ...
Phantoms, Imaging X-Rays Feasibility Studies Radiosurgery Monte Carlo Method Humans Female Male Lung Neoplasms Robotics
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A doubly robust approach for cost-effectiveness estimation from observational data.

Statistical methods in medical research Feb 27, 2017
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by the need to account for informative censoring and inherent skewness of the data. In addition, since t...
Radiography, Thoracic Propensity Score Observation Tomography, X-Ray Computed Machine Learning Lung Neoplasms Algorithms Cost-Benefit Analysis Databases, Factual Diagnostic Tests, Routine
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Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning.

Radiological physics and technology Feb 16, 2017
Half a century ago, the term "computer-aided diagnosis" (CAD) was introduced in the scientific literature. Pulmonary imaging, with chest radiography and computed tomography, has always been one of the focus areas in this field. In this study, I descr...
Lung Neoplasms Radiography, Thoracic Humans Machine Learning Image Processing, Computer-Assisted
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Highly sensitive detection of multiple tumor markers for lung cancer using gold nanoparticle probes and microarrays.

Analytica chimica acta Dec 26, 2016
Assay of multiple serum tumor markers such as carcinoembryonic antigen (CEA), cytokeratin 19 fragment antigen (CYFRA21-1), and neuron specific enolase (NSE), is important for the early diagnosis of lung cancer. Dickkopf-1 (DKK1), a novel serological ...
Keratin-19 Gold Metal Nanoparticles Carcinoembryonic Antigen Humans Biomarkers, Tumor Hydrogen Peroxide Lung Neoplasms Antigens, Neoplasm
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Identification of Factors for the Preoperative Prediction of Tumour Subtype and Prognosis in Patients with T1 Lung Adenocarcinoma.

Disease markers Dec 26, 2016
Identification of factors that can predict the subtypes of lung adenocarcinoma preoperatively is important for selecting the appropriate surgical procedure and for predicting postoperative survival. We retrospectively evaluated 87 patients with lun...
Carcinoembryonic Antigen Follow-Up Studies Adult Preoperative Care Neoplasm Invasiveness Survival Rate Lung Neoplasms MicroRNAs Biomarkers, Tumor RNA, Messenger Tomography, X-Ray Computed Male Neoplasm Staging Adenocarcinoma Female Middle Aged Humans Aged Real-Time Polymerase Chain Reaction Prognosis Aged, 80 and over Reverse Transcriptase Polymerase Chain Reaction Retrospective Studies
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Pharmacokinetic evaluation of intrapleural perfusion with hyperthermic chemotherapy using cisplatin in patients with malignant pleural effusion.

Lung cancer (Amsterdam, Netherlands) Dec 21, 2016
OBJECTIVES: Malignant pleural effusion (MPE) has a poor prognosis. Most patients are treated with tube thoracostomy and sclerotherapy, although its success rate is around 64%. We have investigated intrapleural perfusion with hyperthermic chemotherapy...
Lung Neoplasms Pleural Effusion, Malignant Humans Adult Pleural Cavity Thoracic Surgery, Video-Assisted Mesothelioma Prospective Studies Male Hyperthermia, Induced Platinum Pleural Neoplasms Middle Aged Female Infusions, Intralesional Cisplatin Perfusion Aged
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