Back to search

Article

Machine Learning-Based Model for Predicting Radiation Pneumonitis in Locally Advanced Non- Small Cell Lung Cancer Treated with IMRT-A Two-Centre Study

2024-10-16

Abstract excerpt

<title>Abstract</title> <p><bold>Aim</bold>: To build and externally validate machine learning-based models for radiation pneumonitis (RP) prediction in patients with locally advanced non-small cell lung cancer (LA-NSCLC) treated with intensity-modulated radiation therapy (IMRT) in the era of precision radiotherapy. <bold>Patients and Methods:</bold> In this two-center retrospective study, a total of 218 patients...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b9fffea3-47a5-5c71-90fd-75feba413e6a
DOI
10.21203/rs.3.rs-4920517/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine Learning-Based Model for Predicting Radiation Pneumonitis in Locally Advanced Non- Small Cell Lung Cancer Treated with IMRT-A Two-Centre StudyDOI 10.21203/rs.3.rs-4920517/v1
Prediction of radiation pneumonitis after definitive radiotherapy for locally advanced non-small cell lung cancer using multi-region radiomics analysisSemantic proximity
Predicting severe radiation pneumonitis in patients with locally- advanced non-small cell lung cancer after thoracic radiotherapy: Development and internal validation of a nomogram based on the clinical, hematological and dose–volume histogram parametersSemantic proximity
Performance comparison of ten state-of-the-art machine learning algorithms for outcome prediction modeling of radiation-induced toxicitySemantic proximity
Development of an Ensemble Machine Learning-Based Graphical User Interface (GUI) Tool for Predicting Radiation Pneumonitis in Locally Advanced Squamous Cell Lung Cancer Patients Undergoing Concurrent ChemoradiotherapySemantic proximity
Development and Preliminary Validation of RP-WX: A WeChat Mini- Program-Based Prediction Model for Radiation Pneumonitis in Patients Undergoing Concurrent Chemoradiotherapy for Locally Advanced Squamous Cell Lung CancerSemantic proximity
Modeling the Risk of Radiation Pneumonitis in Esophageal Squamous Cell Carcinoma Treated with Definitive ChemoradiotherapySemantic proximity
Radiomics for Prediction of Radiation-induced Lung Injury After Robotic Stereotactic Body Radiotherapy of Lung Cancer: Results From Two Independent InstitutionsSemantic proximity
Comparison of the Incidence Rate of Radiation Pneumonitis Observed in Patients with Advanced Lung Adenocarcinoma Treated with Simultaneous Thoracic Radiotherapy and 1G/2G/3G EGFR-TKIsSemantic proximity
Intratumoral and Peritumoral CT-Based Radiomics Strategy Reveals Distinct Subtypes of Nonsmall-Cell Lung CancerSemantic proximity
Risk analysis of grade ≥ 2 radiation pneumonitis based on radiotherapy timeline in stage III/IV non-small cell lung cancer: a retrospective studySemantic proximity
Predicting pathological highly invasive lung cancer from preoperative 18F-FDG PET/CT with multiple machine learning modelsSemantic proximity
Development and Validation of Machine Learning Models to Predict Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer: A Multi-Center Retrospective Radiomics Study.Semantic proximity
Select a neighboring publication to make it the new centre.