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Radiation Pneumonitis

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Serum Amyloid P-component Level May be a Biomarker for Lung Toxicities and Overall Survival after Thoracic Radiotherapy for Non-small Cell Lung Cancer.

Clinical laboratory 28164664
BACKGROUND: Serum amyloid P-component (SAP) contributes to the clearance of apoptotic cells. As one of the main acute-phase reactants, SAP regulates key aspects of inflammation and sets a threshold for immune cell activation. This study aimed to inve...
Biomarkers, Tumor Carcinoma, Non-Small-Cell Lung Enzyme-Linked Immunosorbent Assay Humans Kaplan-Meier Estimate Lung Neoplasms Multivariate Analysis Predictive Value of Tests Proportional Hazards Models Pulmonary Fibrosis Radiation Pneumonitis Risk Factors Serum Amyloid P-Component Time Factors Treatment Outcome
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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics 26581149
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Artificial Intelligence Esophagitis Humans Logistic Models Lung Neoplasms Machine Learning Models, Statistical Neural Networks, Computer Prognosis Radiation Oncology Radiation Pneumonitis Radiotherapy Radiotherapy Dosage Reproducibility of Results Support Vector Machine Treatment Outcome Xerostomia
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Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.

Physics in medicine and biology 27461154
To develop a patient-specific 'big data' clinical decision tool to predict pneumonitis in stage I non-small cell lung cancer (NSCLC) patients after stereotactic body radiation therapy (SBRT). 61 features were recorded for 201 consecutive patients wit...
Aged Aged, 80 and over Algorithms Carcinoma, Non-Small-Cell Lung Female Humans Lung Neoplasms Machine Learning Male Middle Aged Multivariate Analysis Radiation Pneumonitis Radiosurgery Reproducibility of Results
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Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 30935565
BACKGROUND AND PURPOSE: Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for locally advanced non-small cell lung cancer (LA-NSCLC). Prior studies have proposed relevant dosimetric constraints to limit this toxicity. Using machine ...
Aged Carcinoma, Non-Small-Cell Lung Chemoradiotherapy Female Humans Lung Lung Neoplasms Machine Learning Male Middle Aged Neoplasm Staging Predictive Value of Tests Radiation Pneumonitis Radiotherapy Dosage
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Machine Learning to Build and Validate a Model for Radiation Pneumonitis Prediction in Patients with Non-Small Cell Lung Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research 30992302
PURPOSE: Radiation pneumonitis is an important adverse event in patients with non-small cell lung cancer (NSCLC) receiving thoracic radiotherapy. However, the risk of radiation pneumonitis grade ≥ 2 (RP2) has not been well predicted. This study hypot...
Aged Biomarkers, Tumor Carcinoma, Non-Small-Cell Lung Cytokines Female Humans Lung Neoplasms Machine Learning Male Middle Aged Models, Statistical Nomograms Prospective Studies Radiation Pneumonitis Radiotherapy ROC Curve
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Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study.

Technology in cancer research & treatment 33969761
BACKGROUND: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy (RT). As risk factors in the development of RP, patient and tumor characteristics, dosimetric parameters, and treatment features are intertwined, and it is...
Adult Aged Aged, 80 and over Algorithms Bayes Theorem Female Follow-Up Studies Humans Lung Neoplasms Machine Learning Male Middle Aged Neural Networks, Computer Pilot Projects Prognosis Radiation Pneumonitis Radiotherapy Risk Factors ROC Curve
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Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy.

International journal of radiation oncology, biology, physics 33539966
PURPOSE: Novel actuarial deep learning neural network (ADNN) architectures are proposed for joint prediction of radiation therapy outcomes-radiation pneumonitis (RP) and local control (LC)-in stage III non-small cell lung cancer (NSCLC) patients. Unl...
Aged Carcinoma, Non-Small-Cell Lung Cytokines Deep Learning Female Humans Lung Neoplasms Male MicroRNAs Middle Aged Positron-Emission Tomography Radiation Pneumonitis Treatment Outcome
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A deep learning-based dual-omics prediction model for radiation pneumonitis.

Medical physics 34224595
PURPOSE: Radiation pneumonitis (RP) is the main source of toxicity in thoracic radiotherapy. This study proposed a deep learning-based dual-omics model, which aims to improve the RP prediction performance by integrating more data points and exploring...
Carcinoma, Non-Small-Cell Lung Deep Learning Four-Dimensional Computed Tomography Humans Lung Neoplasms Radiation Pneumonitis
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