ArticleJCO clinical cancer informatics2024
Novel Functional Radiomics for Prediction of Cardiac Positron Emission Tomography Avidity in Lung Cancer Radiotherapy.
Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Imaging-based detection and prediction of radiation-induced cardiac toxicity: a narrative review.BJR open · 2026Review
- Progress and challenges of artificial intelligence in lung cancer clinical translation.NPJ precision oncology · 2025Review
- Cardiotoxicity following thoracic radiotherapy for lung cancer.British journal of cancer · 2025Review
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9 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTraditional methods of evaluating cardiotoxicity focus on radiation doses to the heart. Functional imaging has the potential to provide improved prediction for cardiotoxicity for patients with lung cancer. Fluorine-18 (
methodsPretreatment
resultsFrom 202 of 209 scans, cardiac FDG uptake was scored as no uptake (39.6%), diffuse uptake (25.3%), and focal uptake (35.1%), respectively. Sixty-two independent radiomics features were reduced to nine clinically pertinent features. The best model showed 93% predictive accuracy in the training data set and 80% and 92% predictive accuracy in two external validation data sets.
conclusionThis work used an extensive patient data set to develop a functional cardiac radiomic model from standard-of-care
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