AIMC Topic: Lung Neoplasms

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Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study.

Scientific reports Jun 3, 2025
Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to misperception, internal fear or fear of pain, and avoid rehabilitation training affecting postoperative recove...
Phobic Disorders Kinesiophobia Adult Female Lung Neoplasms Cross-Sectional Studies Risk Factors Postoperative Period Male Aged Humans Machine Learning Algorithms Middle Aged Risk Assessment
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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Deep Learning Image Processing, Computer-Assisted Lung Neoplasms
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NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

Journal for immunotherapy of cancer May 31, 2025
BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete response after neoadjuvant chemo-immunotherapy remains a critical unmet need in resectable non-small-cell lung cancer (NSCLC). Conventional size-base...
Tomography, X-Ray Computed Female Aged Adult Humans Retrospective Studies Immunotherapy Male Treatment Outcome Neoadjuvant Therapy Middle Aged Carcinoma, Non-Small-Cell Lung Lung Neoplasms
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Prediction of Lymph Node Metastasis in Non-Small Cell Lung Carcinoma Using Primary Tumor Somatic Mutation Data.

JCO clinical cancer informatics May 30, 2025
PURPOSE: Lymph node metastasis (LNM) significantly affects prognosis and treatment strategies in non-small cell lung cancer (NSCLC). Current diagnostic methods, including imaging and histopathology, have limited sensitivity and specificity. This stud...
Humans Mutation Middle Aged ROC Curve Lung Neoplasms Aged Lymphatic Metastasis Machine Learning Polymorphism, Single Nucleotide Biomarkers, Tumor Bayes Theorem Prognosis Carcinoma, Non-Small-Cell Lung Male Female
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Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM in China.

Frontiers in public health May 30, 2025
OBJECTIVES: This study investigated association between long-term PM exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM with time lags and build a prediction model using machine l...
Humans Machine Learning China Air Pollution Particulate Matter Environmental Exposure Incidence Lung Neoplasms Air Pollutants
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees.

Scientific reports May 29, 2025
Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads towards higher complexity in classification process...
Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Lung Neoplasms Decision Trees Humans Machine Learning
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An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution.

Scientific reports May 29, 2025
High-quality whole-slide scanning is expensive, complex, and time-consuming, thus limiting the acquisition and utilization of high-resolution histopathology images in daily clinical work. Deep learning-based single-image super-resolution (SISR) techn...
Lung Neoplasms Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Immunological biomarkers and gene signatures predictive of radiotherapy resistance in non-small cell lung cancer.

Frontiers in immunology May 29, 2025
INTRODUCTION: A significant challenge in treating non-small cell lung cancer (NSCLC) is its inherent resistance to radiation therapy, leading to poor patient prognosis. This study aimed to identify key genes influencing radiotherapy resistance in NSC...
Radiation Tolerance Gene Expression Regulation, Neoplastic Nomograms Humans Carcinoma, Non-Small-Cell Lung Prognosis Biomarkers, Tumor Lung Neoplasms Computational Biology Gene Expression Profiling Transcriptome
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China Protocol for early screening, precise diagnosis, and individualized treatment of lung cancer.

Signal transduction and targeted therapy May 27, 2025
Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the tumor stage remains the most dominant factor that affects patient survival. Previous initiatives have tried to develop new tools for decision-making o...
Artificial Intelligence Precision Medicine Humans Male Tomography, X-Ray Computed Lung Neoplasms China Female Early Detection of Cancer Survival Rate
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Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions?

BMC pulmonary medicine May 26, 2025
BACKGROUND: Data regarding the diagnostic efficacy of radial endobronchial ultrasound (R-EBUS) findings obtained via transbronchial needle aspiration (TBNA)/biopsy (TBB) with endobronchial ultrasonography with a guide sheath (EBUS-GS) for peripheral ...
Bronchoscopy Endoscopic Ultrasound-Guided Fine Needle Aspiration Endosonography Intraoperative Care Lung Neoplasms Logistic Models Intraoperative Period Male Middle Aged Lung Humans Female Retrospective Studies Aged
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