AIMC Topic: Carcinoma, Non-Small-Cell Lung

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Thorax-encompassing multi-modality PET/CT deep learning model for resected lung cancer prognostication: A retrospective, multicenter study.

Medical physics May 3, 2025
BACKGROUND: Patients with early-stage non-small cell lung cancer (NSCLC) typically receive surgery as their primary form of treatment. However, studies have shown that a high proportion of these patients will experience a recurrence after their resec...
Aged, 80 and over Male Middle Aged Deep Learning Retrospective Studies Female Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Thorax Humans Prognosis
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Machine learning in prediction of epidermal growth factor receptor status in non-small cell lung cancer brain metastases: a systematic review and meta-analysis.

BMC cancer May 1, 2025
BACKGROUND: Epidermal growth factor receptor (EGFR) mutations are present in 10-60% of all non-small cell lung cancer (NSCLC) patients and are associated with dismal prognosis. Lung cancer brain metastases (LCBM) are a common complication of lung can...
Machine Learning Prognosis Brain Neoplasms Lung Neoplasms Carcinoma, Non-Small-Cell Lung Mutation Humans ErbB Receptors
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Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

Journal of applied clinical medical physics Apr 23, 2025
BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning-based automatic segmentation methods rely on manually annotated data for network training.
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Deep Learning Unsupervised Machine Learning Image Processing, Computer-Assisted Generative Adversarial Networks Lung Neoplasms
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Updated perspectives on visceral pleural invasion in non-small cell lung cancer: A propensity score-matched analysis of the SEER database.

Current problems in cancer Apr 18, 2025
BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic layer) and PL2 (the tumor extends to the surface of the visceral pleura), plays a crucial role in staging Non-Small Cell Lung Cancer (NSCLC). However, th...
Neoplasm Staging Prognosis Retrospective Studies Pleural Neoplasms Female SEER Program Aged Propensity Score Survival Rate Carcinoma, Non-Small-Cell Lung Male Humans Pleura Follow-Up Studies Middle Aged Neoplasm Invasiveness Lung Neoplasms
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Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs.

BMC medical informatics and decision making Apr 18, 2025
The automated processing of Electronic Health Records (EHRs) poses a significant challenge due to their unstructured nature, rich in valuable, yet disorganized information. Natural Language Processing (NLP), particularly Named Entity Recognition (NER...
Survival Analysis Humans Male Electronic Health Records Lung Neoplasms Female Carcinoma, Non-Small-Cell Lung Natural Language Processing
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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections.

Radiation oncology (London, England) Apr 18, 2025
BACKGROUND: Delineating the internal gross tumor volume (IGTV) is crucial for the treatment of non-small cell lung cancer (NSCLC). Deep learning (DL) enables the automation of this process; however, current studies focus mainly on multiple phases of ...
Carcinoma, Non-Small-Cell Lung Radiotherapy Planning, Computer-Assisted Tumor Burden Four-Dimensional Computed Tomography Middle Aged Deep Learning Lung Neoplasms Humans Female Retrospective Studies Aged Aged, 80 and over Male
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Decoding Recurrence in Early-Stage and Locoregionally Advanced Non-Small Cell Lung Cancer: Insights From Electronic Health Records and Natural Language Processing.

JCO clinical cancer informatics Apr 18, 2025
PURPOSE: Recurrences after curative resection in early-stage and locoregionally advanced non-small cell lung cancer (NSCLC) are common, necessitating a nuanced understanding of associated risk factors. This study aimed to establish a natural language...
Natural Language Processing Neoplasm Staging Neoplasm Recurrence, Local Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Risk Factors Humans Aged Prognosis Male Electronic Health Records Middle Aged Female
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Mechanistic study of Lonicerae Japonicae Flos (Caprifoliaceae) in non-small cell lung cancer prevention and treatment through integrative pharmacology, multi-machine learning, artificial intelligence, and in vitro experiments.

Journal of ethnopharmacology Apr 17, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Lonicerae Japonicae Flos (Caprifoliaceae) (LJF), an herb with the homology of medicine and food, is traditionally utilized for its heat-clearing, detoxifying, and anticancer properties. Yet, the mechanism by which LJF ...
Carcinoma, Non-Small-Cell Lung Antineoplastic Agents, Phytogenic A549 Cells Network Pharmacology Lonicera Cell Line, Tumor Lung Neoplasms Plant Extracts Cell Proliferation Artificial Intelligence Machine Learning Molecular Docking Simulation Humans
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Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma.

European journal of medical research Apr 15, 2025
BACKGROUND: There is no standard practice for intensive care admission after non-small cell lung cancer surgery. In this study, we aimed to determine the need for intensive care admission after non-small cell lung cancer surgery with deep learning mo...
Neural Networks, Computer Artificial Intelligence Algorithms Retrospective Studies Intensive Care Units Female Aged Male Humans Carcinoma, Non-Small-Cell Lung Postoperative Care Patient Admission Middle Aged Deep Learning Lung Neoplasms
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DNA Molecular Computing with Weighted Signal Amplification for Cancer miRNA Biomarker Diagnostics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 11, 2025
The expression levels of microRNAs (miRNAs) are strongly linked to cancer progression, making them promising biomarkers for cancer detection. Enzyme-free signal amplification DNA circuits have facilitated the detection of low-abundance miRNAs. Howeve...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung MicroRNAs Computers, Molecular Humans Machine Learning Biomarkers, Tumor
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