ArticleFrontiers in oncology2022
Radial Data Mining to Identify Density-Dose Interactions That Predict Distant Failure Following SABR.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Predicting cancer relapse following lung stereotactic radiotherapy: an external validation study using real-world evidence.Frontiers in oncology · 2023Article
- Interval From Simulation Imaging to Treatment Delivery in SABR of Lung Lesions: How Long is Too Long for the Lung?Advances in radiation oncologyArticle
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Authors and funding
4 authors.
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Abstract
Purpose: Lower dose outside the planned treatment area in lung stereotactic radiotherapy has been linked to increased risk of distant metastasis (DM) possibly due to underdosage of microscopic disease (MDE). Independently, tumour density on pretreatment computed tomography (CT) has been linked to risk of MDE. No studies have investigated the interaction between imaging biomarkers and Methods: Dose and density were quantified in 1-mm annuli around the GTV for 199 patients with early-stage lung cancer treated with 60 Gy in 5 fractions. Each annulus was summarised by three density and three dose parameters. For parameter combinations, Cox regressions were performed including a Results: Dose-density interactions were identified that significantly improved prediction for over 50% of bootstrap resamples. Dose and density parameters were Conclusions: Patients with high tumour variance and peritumour density have increased risk of DM if there is a low and non-uniform dose outside the GTV. The dose regions are independent of tumour dose, suggesting that
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