AIMC Topic: Carcinoma, Non-Small-Cell Lung

Clear Filters Showing 91 to 100 of 404 articles

Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non-Small Cell Lung Cancer.

JCO clinical cancer informatics Dec 13, 2024
PURPOSE: This study developed and validated a novel deep learning radiomic biomarker to estimate response to immune checkpoint inhibitor (ICI) therapy in advanced non-small cell lung cancer (NSCLC) using real-world data (RWD) and clinical trial data.
Middle Aged Deep Learning Immune Checkpoint Inhibitors Lung Neoplasms B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Adult Radiomics Biomarkers, Tumor Male Female Aged Aged, 80 and over Humans Retrospective Studies
View on PubMed DOI

Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non-Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score.

JCO clinical cancer informatics Dec 11, 2024
PURPOSE: Precision oncology in non-small cell lung cancer (NSCLC) relies on biomarker testing for clinical decision making. Despite its importance, challenges like the lack of genomic oncology training, nonstandardized biomarker reporting, and a rapi...
Humans Carcinoma, Non-Small-Cell Lung Artificial Intelligence High-Throughput Nucleotide Sequencing Precision Medicine Oncogenes Biomarkers, Tumor Lung Neoplasms
View on PubMed DOI

Non-invasive Prediction of Lymph Node Metastasis in NSCLC Using Clinical, Radiomics, and Deep Learning Features From F-FDG PET/CT Based on Interpretable Machine Learning.

Academic radiology Dec 10, 2024
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radiomics, and deep learning features derived from PET/CT imaging to predict lymph node metastasis (LNM) in patients with non-small cell lung cancer (NSCLC...
Adult Radiomics Male Middle Aged Machine Learning Retrospective Studies Female Aged Positron Emission Tomography Computed Tomography Radiopharmaceuticals Fluorodeoxyglucose F18 Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis Humans
View on PubMed DOI

Self-supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences.

Medical physics Dec 5, 2024
BACKGROUND: Self-supervised learning (SSL) is an approach to extract useful feature representations from unlabeled data, and enable fine-tuning on downstream tasks with limited labeled examples. Self-pretraining is a SSL approach that uses curated do...
Image Processing, Computer-Assisted Lung Neoplasms Carcinoma, Non-Small-Cell Lung Supervised Machine Learning Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning
View on PubMed DOI

Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth.

Cell communication and signaling : CCS Dec 5, 2024
BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long durational erlotinib treatment of non-small cell lung cancer (NSCLC) patients, leading to drug resistance and disease progression. Identification of new selec...
Xenograft Model Antitumor Assays ErbB Receptors Protein Kinase Inhibitors Oleanolic Acid Carcinoma, Non-Small-Cell Lung Mice, Nude Apoptosis Mutation Machine Learning Lung Neoplasms Humans Animals Mice Antineoplastic Agents Cell Proliferation Cell Line, Tumor Signal Transduction
View on PubMed DOI

CT ventilation images produced by a 3D neural network show improvement over the Jacobian and HU DIR-based methods to predict quantized lung function.

Medical physics Nov 23, 2024
BACKGROUND: Radiation-induced pneumonitis affects up to 33% of non-small cell lung cancer (NSCLC) patients, with fatal pneumonitis occurring in 2% of patients. Pneumonitis risk is related to the dose and volume of lung irradiated. Clinical radiothera...
Pulmonary Ventilation Lung Humans Imaging, Three-Dimensional Neural Networks, Computer Lung Neoplasms Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung
View on PubMed DOI

Artificial intelligence-based personalized survival prediction using clinical and radiomics features in patients with advanced non-small cell lung cancer.

BMC cancer Nov 18, 2024
BACKGROUND: Multiple first-line treatment options have been developed for advanced non-small cell lung cancer (NSCLC) in each subgroup determined by predictive biomarkers, specifically driver oncogene and programmed cell death ligand-1 (PD-L1) status...
Biomarkers, Tumor Male Middle Aged Lung Neoplasms Humans Aged B7-H1 Antigen Precision Medicine Aged, 80 and over Artificial Intelligence Prognosis Carcinoma, Non-Small-Cell Lung Adult Algorithms Retrospective Studies Radiomics Female
View on PubMed DOI

A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach.

BMC medical informatics and decision making Nov 18, 2024
BACKGROUND: Lung cancer is characterized by high morbidity and mortality due to the lack of practical early diagnostic and prognostic tools. The present study uses machine learning algorithms to construct a clinical predictive model for non-small cel...
Carcinoma, Non-Small-Cell Lung Decision Trees Biomarkers, Tumor Male Middle Aged Lung Neoplasms Prognosis Female Aged Adult Humans Machine Learning
View on PubMed DOI

Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parameters.

La Radiologia medica Nov 14, 2024
BACKGROUND: Accurate prognostication of overall survival (OS) for non-small cell lung cancer (NSCLC) patients receiving definitive radiotherapy (RT) is crucial for developing personalized treatment strategies. This study aims to construct an interpre...
Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Radiomics Male Middle Aged Humans Lung Neoplasms Machine Learning Carcinoma, Non-Small-Cell Lung Neoplasm Staging
View on PubMed DOI

Lymph Node Metastasis Prediction From In Situ Lung Squamous Cell Carcinoma Histopathology Images Using Deep Learning.

Laboratory investigation; a journal of technical methods and pathology Nov 13, 2024
Lung squamous cell carcinoma (LUSC), a subtype of non-small cell lung cancer, represents a significant portion of lung cancer cases with distinct histologic patterns impacting prognosis and treatment. The current pathological assessment methods face ...
Middle Aged Deep Learning Lung Neoplasms Lymph Nodes Carcinoma, Non-Small-Cell Lung Humans Prognosis Lymphatic Metastasis Female Carcinoma, Squamous Cell Male
View on PubMed DOI
Popular Topics
Recent Journals