Evaluation of indirect damage and damage saturation effects in dose-response curves of hypofractionated radiotherapy of early-stage NSCLC and brain metastases
Araceli Gago-Arias, Sara Neira, Miguel Pombar, Antonio, G\'omez-Caama\~no, Juan Pardo-Montero

TL;DR
This study compares different models to understand how indirect damage and damage saturation affect tumor control in hypofractionated radiotherapy for early-stage NSCLC and brain metastases, providing insights for optimizing treatment strategies.
Contribution
It introduces a comparative analysis of dose-response models incorporating indirect damage and saturation effects, highlighting model preferences for NSCLC and brain metastases.
Findings
Modified LQ-model fits NSCLC data better, indicating indirect damage effects.
LQL model best fits brain metastases data, suggesting damage saturation.
Results depend on alpha/beta ratios, especially for NSCLC.
Abstract
Background and purpose: To investigate the possible contribution of indirect damage and damage saturation to tumour control obtained with SBRT/SRS treatments for early-stage NSCLC and brain metastases. Methods and Materials: We have constructed a dataset of early-stage NSCLC and brain metastases dose-response. These data were fitted to models based on the linear-quadratic (LQ), the linear-quadratic-linear (LQL), and phenomenological modifications of the LQ-model to account for indirect cell damage. We use the Akaike-Information-Criterion formalism to compare performance, and studied the stability of the results with changes in fitting parameters and perturbations on dose/TCP values. Results: In NSCLC, a modified LQ-model with a beta-term increasing with dose yields the best-fits for /=10 Gy. Only the inclusion of very fast accelerated proliferation or low…
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Taxonomy
TopicsAdvanced Radiotherapy Techniques · Radiomics and Machine Learning in Medical Imaging · Radiopharmaceutical Chemistry and Applications
