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Exploring published and novel pre-treatment CT and PET radiomics to stratify risk of progression among early-stage non-small cell lung cancer patients treated with stereotactic radiation

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Year: 2023
Type: article
Study design: Observational Study
Source: Radiotherapy and Oncology
DOI: 10.1016/j.radonc.2023.109983
Authors: Maria Thor, Kelly Fitzgerald, Aditya Apte, Jung Hun Oh, Aditi Iyer, Otasowie Odiase, Saad Nadeem, Ellen D. Yorke, Jamie Chaft, Abraham J. Wu, Michael Offin, Charles B. Simone, Isabel Preeshagul, Daphna Y. Gelblum, Daniel Gomez, Joseph O. Deasy, Andreas Rimner
Institution: Memorial Sloan Kettering Cancer Center
Language: English

Topic: Radiomics and Machine Learning in Medical Imaging
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Cancer Institute
Awards: G4102770861, Dose-distribution radiomics to predict morbidity risk in radiotherapy, G9000003249, Cancer Center Support Grant
OpenAlex ID: W4388312364
FWCI: 1.329
Cites: 46
Cited by: 9
Related to: 10
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