AIMC Topic: Radiation Pneumonitis

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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 Feb 1, 2021
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...
Humans Cytokines Female Aged Treatment Outcome Carcinoma, Non-Small-Cell Lung MicroRNAs Positron-Emission Tomography Radiation Pneumonitis Male Middle Aged Deep Learning Lung Neoplasms
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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 Apr 16, 2019
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...
Carcinoma, Non-Small-Cell Lung Models, Statistical Radiotherapy Radiation Pneumonitis Prospective Studies Female Aged Biomarkers, Tumor Male Humans Middle Aged ROC Curve Machine Learning Lung Neoplasms Cytokines Nomograms
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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 Jan 23, 2019
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 ...
Humans Machine Learning Female Aged Male Middle Aged Lung Lung Neoplasms Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Neoplasm Staging Chemoradiotherapy Radiotherapy Dosage Radiation Pneumonitis
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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 Jul 27, 2016
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...
Radiation Pneumonitis Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Multivariate Analysis Radiosurgery Reproducibility of Results Aged Aged, 80 and over Male Humans Machine Learning Algorithms Female
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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics Nov 11, 2015
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...
Logistic Models Treatment Outcome Humans Support Vector Machine Neural Networks, Computer Xerostomia Machine Learning Models, Statistical Radiotherapy Dosage Artificial Intelligence Prognosis Radiation Oncology Radiotherapy Reproducibility of Results Esophagitis Lung Neoplasms Radiation Pneumonitis
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A systematic review and meta-analysis of the utility of quantitative, imaging-based approaches to predict radiation-induced toxicity in lung cancer patients.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 1, 2025
BACKGROUND AND PURPOSE: To conduct a systematic review and meta-analysis of the performance of radiomics, dosiomics and machine learning in generating toxicity prediction in thoracic radiotherapy.
Machine Learning Lung Neoplasms Radiation Injuries Esophagitis Radiation Pneumonitis Humans
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Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer.

Scientific reports May 16, 2025
Radiation pneumonia (RP) is the most common side effect of chest radiotherapy, and can affect patients' quality of life. This study aimed to establish a combined model of radiomics, dosiomics, deep learning (DL) based on simulated location CT and dos...
Radiomics Male Middle Aged Deep Learning Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed Female Aged Nomograms Humans Carcinoma, Non-Small-Cell Lung Radiometry Radiation Pneumonitis
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Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors.

Technology in cancer research & treatment Jan 1, 2024
This study aimed to build a comprehensive deep-learning model for the prediction of radiation pneumonitis using chest computed tomography (CT), clinical, dosimetric, and laboratory data. Radiation therapy is an effective tool for treating patients ...
Male Middle Aged Deep Learning ROC Curve Lung Neoplasms Tomography, X-Ray Computed Humans Support Vector Machine Female Neural Networks, Computer Radiotherapy Dosage Aged Prognosis Radiation Pneumonitis Aged, 80 and over Retrospective Studies Adult
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Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study.

Technology in cancer research & treatment Jan 1, 2021
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...
Radiation Pneumonitis Lung Neoplasms Follow-Up Studies Bayes Theorem Radiotherapy Female Risk Factors Aged Aged, 80 and over Adult Male Middle Aged Pilot Projects ROC Curve Humans Neural Networks, Computer Machine Learning Algorithms Prognosis
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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 Nov 1, 2016
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...
Radiation Pneumonitis Pulmonary Fibrosis Humans Lung Neoplasms Serum Amyloid P-Component Risk Factors Proportional Hazards Models Enzyme-Linked Immunosorbent Assay Biomarkers, Tumor Multivariate Analysis Treatment Outcome Time Factors Kaplan-Meier Estimate Carcinoma, Non-Small-Cell Lung Predictive Value of Tests
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