AIMC Topic: Carcinoma, Non-Small-Cell Lung

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Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images.

Scientific reports Apr 11, 2025
Radiomics refers to the utilization of automated or semi-automated techniques to extract and analyze numerous quantitative features from medical images, such as computerized tomography (CT) or magnetic resonance imaging (MRI) scans. This study aims t...
Female Aged Radiomics Male Humans Algorithms Tomography, X-Ray Computed B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Middle Aged Deep Learning ROC Curve Lung Neoplasms
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Exploring 4 generation EGFR inhibitors: A review of clinical outcomes and structural binding insights.

European journal of pharmacology Apr 9, 2025
Epidermal growth factor receptor (EGFR) is a potential target for anticancer therapies and plays a crucial role in cell growth, survival, and metastasis. EGFR gene mutations trigger aberrant signaling, leading to non-small cell lung cancer (NSCLC). T...
Animals Humans Antineoplastic Agents ErbB Receptors Structure-Activity Relationship Lung Neoplasms Protein Kinase Inhibitors Mutation Carcinoma, Non-Small-Cell Lung
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Prediction of PD-L1 expression in NSCLC patients using PET/CT radiomics and prognostic modelling for immunotherapy in PD-L1-positive NSCLC patients.

Clinical radiology Apr 2, 2025
AIM: To develop a positron emission tomography/computed tomography (PET/CT)-based radiomics model for predicting programmed cell death ligand 1 (PD-L1) expression in non-small cell lung cancer (NSCLC) patients and estimating progression-free survival...
Aged Aged, 80 and over Adult Radiomics Machine Learning Prognosis Retrospective Studies Female Immunotherapy Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Radiopharmaceuticals Fluorodeoxyglucose F18 Male Middle Aged Lung Neoplasms B7-H1 Antigen Humans
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Deep Learning-driven Microfluidic-SERS to Characterize the Heterogeneity in Exosomes for Classifying Non-Small Cell Lung Cancer Subtypes.

ACS sensors Apr 1, 2025
Lung cancer exhibits strong heterogeneity, and its early diagnosis and precise subtyping are of great importance, as they can increase the ability to deliver personalized medicines by tailoring therapy regimens. Tissue biopsy, albeit the gold standar...
Humans Deep Learning Cell Line, Tumor Exosomes Lab-On-A-Chip Devices Lung Neoplasms Microfluidic Analytical Techniques Spectrum Analysis, Raman Carcinoma, Non-Small-Cell Lung Gold
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Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach.

PloS one Apr 1, 2025
BACKGROUND: Non-small-cell lung cancer (NSCLC) and its surgery significantly increase the venous thromboembolism (VTE) risk. This study explored the VTE risk factors and established a machine-learning model to predict a failure of postoperative throm...
Risk Factors Aged Humans Male Machine Learning Retrospective Studies Middle Aged Female Venous Thromboembolism ErbB Receptors Postoperative Complications ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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The Role of Eosinophils, Eosinophil-Related Cytokines and AI in Predicting Immunotherapy Efficacy in NSCLC Cancer.

Biomolecules Mar 27, 2025
Immunotherapy and chemoimmunotherapy are standard treatments for non-oncogene-addicted advanced non-small cell lung cancer (NSCLC). Currently, a limited number of biomarkers, including programmed death-ligand 1 (PD-L1) expression, microsatellite inst...
Immunotherapy Carcinoma, Non-Small-Cell Lung Eosinophils Cytokines Biomarkers, Tumor Humans Immune Checkpoint Inhibitors Artificial Intelligence Lung Neoplasms
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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer.

BMC cancer Mar 13, 2025
OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomic features, develop multi-source radiomic models using various machine learning algorithms to identify the optimal model, and integrate clinical facto...
Humans Support Vector Machine Middle Aged Female Carcinoma, Non-Small-Cell Lung Lung Neoplasms Machine Learning Adult Tumor Burden Nomograms Algorithms Aged Induction Chemotherapy Radiomics Treatment Outcome Retrospective Studies Male Tomography, X-Ray Computed
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Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 12, 2025
PURPOSE: This study aimed to select robust features against lung motion in a phantom study and use them as input to feature selection algorithms and machine learning classifiers in a clinical study to predict the lymphovascular invasion (LVI) of non-...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Male Lung Neoplasms Carcinoma, Non-Small-Cell Lung Female Radiomics Neoplasm Invasiveness Phantoms, Imaging
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Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non-Small Cell Lung Cancer.

JCO clinical cancer informatics Mar 5, 2025
PURPOSE: To comprehensively analyze the association between preoperative maximum standardized uptake value (SUV) on 18F-fluorodeoxyglucose positron emission tomography-computed tomography and postoperative recurrence in resected non-small cell lung c...
Preoperative Period Aged Male Middle Aged ROC Curve Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Fluorodeoxyglucose F18 Lung Neoplasms Carcinoma, Non-Small-Cell Lung Machine Learning Prognosis Retrospective Studies Female Humans
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Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Computers in biology and medicine Mar 4, 2025
Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a no...
Male Middle Aged Lung Neoplasms Immunotherapy Randomized Controlled Trials as Topic Mutation Paclitaxel Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Retrospective Studies Liquid Biopsy Female Clinical Trials, Phase III as Topic Humans Aged Bevacizumab Machine Learning Biomarkers, Tumor
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