AIMC Topic: Lung Neoplasms

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[Incidental pulmonary nodules on CT imaging: what to do?].

Nederlands tijdschrift voor geneeskunde Jun 23, 2025
Incidental pulmonary nodules are very frequently found on CT imaging and may represent (early stage) lung cancers without any signs or symptoms. These incidental findings can be solid lesions or ground glass lesions that may be solitary or multiple. ...
Female Aged Male Humans Tomography, X-Ray Computed Multiple Pulmonary Nodules Solitary Pulmonary Nodule Incidental Findings Middle Aged Lung Neoplasms Adenocarcinoma
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Innovative technologies and their clinical prospects for early lung cancer screening.

Clinical and experimental medicine Jun 18, 2025
BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide, due to lacking effective early-stage screening approaches. Imaging, such as low-dose CT, poses radiation risk, and biopsies can induce some complications. Additi...
Humans Artificial Intelligence Liquid Biopsy Biomarkers, Tumor Lung Neoplasms Early Detection of Cancer
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Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features.

Journal of cancer research and clinical oncology Jun 17, 2025
BACKGROUND: With the improvement of imaging, the screening rate of Pulmonary nodules (PNs) has further increased, but their identification of High-Risk Prognostic Pathological Components (HRPPC) is still a major challenge. In this study, we aimed to ...
Humans Multiple Pulmonary Nodules Machine Learning Solitary Pulmonary Nodule Prognosis Retrospective Studies Male Aged Tomography, X-Ray Computed Middle Aged Adult Female Lung Neoplasms Biomarkers, Tumor
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Enhancing image quality in fast neutron-based range verification of proton therapy using a deep learning-based prior in LM-MAP-EM reconstruction.

Physics in medicine and biology Jun 17, 2025
This study investigates the use of list-mode (LM) maximum(MAP) expectation maximization (EM) incorporating prior information predicted by a convolutional neural network for image reconstruction in fast neutron (FN)-based proton therapy range verifica...
Fast Neutrons Monte Carlo Method Proton Therapy Humans Deep Learning Image Processing, Computer-Assisted Lung Neoplasms
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High-definition motion-resolved MRI using 3D radial kooshball acquisition and deep learning spatial-temporal 4D reconstruction.

Physics in medicine and biology Jun 17, 2025
To develop motion-resolved volumetric MRI with 1.1 mm isotropic resolution and scan times <5 min using a combination of 3D radial kooshball acquisition and spatial-temporal deep learning 4D reconstruction for free-breathing high-definition (HD) lung ...
Movement Lung Neoplasms Magnetic Resonance Imaging Respiration Adult Male Lung Deep Learning Time Factors Imaging, Three-Dimensional Humans Female
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Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Biomedical physics & engineering express Jun 16, 2025
Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet remain inadequate in distinguishing pathological progression subtypes (particularly between adenocarcinomaand invasive adenocarcinoma) on frozen sections....
Humans Neural Networks, Computer Frozen Sections Lung Neoplasms Intraoperative Period Algorithms Adenocarcinoma of Lung Deep Learning Image Processing, Computer-Assisted
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Advances in molecular pathology and therapy of non-small cell lung cancer.

Signal transduction and targeted therapy Jun 15, 2025
Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements in basic and clinical research. However, substantial unmet needs remain for patients worldwide, as drug resistance persists as an inevitable reality....
Molecular Targeted Therapy Humans Lung Neoplasms Immunotherapy Carcinoma, Non-Small-Cell Lung Drug Resistance, Neoplasm
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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report.

Journal of medical Internet research Jun 11, 2025
BACKGROUND: The rapid advancements in natural language processing, particularly the development of large language models (LLMs), have opened new avenues for managing complex clinical text data. However, the inherent complexity and specificity of medi...
Natural Language Processing Tomography, X-Ray Computed Lung Diseases Humans Deep Learning Retrospective Studies Large Language Models Lung Neoplasms
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Next-Generation Sequencing-Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non-Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods.

JMIR cancer Jun 11, 2025
BACKGROUND: Next-generation sequencing (NGS) has become a cornerstone of treatment for lung cancer and is recommended in current treatment guidelines for patients with advanced or metastatic disease.
Humans Adult Biomarkers, Tumor United States Machine Learning Male Middle Aged Carcinoma, Non-Small-Cell Lung Female Lung Neoplasms High-Throughput Nucleotide Sequencing Aged
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Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging.

PloS one Jun 11, 2025
Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial for improving patients' survival outcomes. In this paper, we propose to employ convolutional neural networks to model the non-linear relationship bet...
Lung Neoplasms Humans Proportional Hazards Models Neural Networks, Computer Tomography, X-Ray Computed Female Male Deep Learning
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