AIMC Topic: Lung Neoplasms

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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 21, 2025
BACKGROUND: Accurate preoperative assessment of occult lymph node metastasis (OLNM) plays a crucial role in informing therapeutic decision-making for lung cancer patients. Computed tomography (CT) is the most widely used imaging modality for preopera...
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Humans Lung Neoplasms Lymph Nodes Nomograms Lymphatic Metastasis Aged Radiomics Male Middle Aged
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Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules.

Scientific reports Aug 11, 2025
Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment strategies and are associated with different prognoses, underscoring the importance of accurate differentiation. This study aims to develop a predictive m...
Neoplasm Invasiveness Adenocarcinoma of Lung Female Aged Radiomics Male Middle Aged Deep Learning ROC Curve Humans Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed
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Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.

Nature communications Aug 9, 2025
A substantial portion of lung cancer-associated genetic elements in East Asian populations remains unidentified, underscoring the need for large-scale genome-wide studies, particularly on non-coding regulation. We conducted a whole genome sequencing ...
Transcription Factors East Asian People Whole Genome Sequencing Asian People Lung Neoplasms Genetic Predisposition to Disease Gene Expression Regulation, Neoplastic Tumor Suppressor Proteins NF-kappa B p50 Subunit Humans Female Male China Genome-Wide Association Study
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LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

PloS one Aug 8, 2025
Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM), lung cancer (LC), tuberculosis (TB), and COVID-19 etc. The diagnosis of LGDs is performed by using different medical imaging such as X-rays, CT sca...
Machine Learning Pandemics COVID-19 Tomography, X-Ray Computed Humans Neural Networks, Computer Extreme Learning Machines SARS-CoV-2 Lung Neoplasms Lung Diseases
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Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Scientific reports Aug 6, 2025
Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with subtle early symptoms leading to delayed diagnosis. Ferroptosis, a cell death process associated with iron metabolism dysregulation, has been linked t...
Ferroptosis Adenocarcinoma of Lung X-Box Binding Protein 1 Protein Interaction Maps Gene Regulatory Networks Lung Neoplasms Gene Expression Regulation, Neoplastic Algorithms Tumor Microenvironment Gene Expression Profiling Humans
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Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines.

BMC medical imaging Aug 4, 2025
BACKGROUND: As an important branch of machine learning pipelines in medical imaging, radiomics faces two major challenges namely reproducibility and accessibility. In this work, we introduce open-radiomics, a set of radiomics datasets along with a co...
Humans Middle Aged Machine Learning Adult Lung Neoplasms Female Magnetic Resonance Imaging Reproducibility of Results Radiomics Glioma Survival Analysis Carcinoma, Non-Small-Cell Lung Brain Neoplasms Datasets as Topic Male
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Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set.

Scientific reports Aug 2, 2025
Early detection of lung cancer, which remains one of the leading causes of death worldwide, is important for improved prognosis, and CT scanning is an important diagnostic modality. Lung cancer classification according to CT scan is challenging since...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Entropy Humans
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Mitochondrial Pathway Signature (MitoPS) predicts immunotherapy response and reveals NDUFB10 as a key immune regulator in lung adenocarcinoma.

Journal for immunotherapy of cancer Jul 31, 2025
BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Although immune checkpoint inhibitors (ICIs) have brought new treatment options for advanced patients, a considerable proportion still shows limited resp...
Immunotherapy Mitochondria Adenocarcinoma of Lung Biomarkers, Tumor Male Lung Neoplasms Humans Prognosis Female Tumor Microenvironment
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Identification of DNA damage response and crotonylation-related biomarkers for lung adenocarcinoma via machine learning and WGCNA.

Clinical and experimental medicine Jul 30, 2025
DNA damage response (DDR) and crotonylation occur frequently in lung adenocarcinoma (LUAD), but their relationship is yet to be elucidated. RNA sequencing data from LUAD patients in GSE27262 and GSE140797 datasets were obtained. DDR-crotonylation-rel...
Biomarkers, Tumor Gene Expression Profiling Computational Biology Humans Gene Regulatory Networks Gene Expression Regulation, Neoplastic Machine Learning Lung Neoplasms DNA Damage Adenocarcinoma of Lung
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Multiple Tumor-related autoantibodies test enhances CT-based deep learning performance in diagnosing lung cancer with diameters < 70 mm: a prospective study in China.

BMC pulmonary medicine Jul 29, 2025
BACKGROUND: Deep learning (DL) demonstrates high sensitivity but low specificity in lung cancer (LC) detection during CT screening, and the seven Tumor-associated antigens autoantibodies (7-TAAbs), known for its high specificity in LC, was employed t...
Middle Aged Female Humans Autoantibodies Deep Learning Aged Prospective Studies China Sensitivity and Specificity ROC Curve Tomography, X-Ray Computed Male Lung Neoplasms Antigens, Neoplasm Early Detection of Cancer
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