Validating a predictive atlas of tumor shrinkage for adaptive radiotherapy of locally advanced lung cancer

We generated a predictive atlas that can estimate the spatial distribution of residual tumor in response to radiotherapy, and validated the atlas across independent institutions. Treatment planning guided by the prediction as well as recalibration of the prediction based on imaging surveillance can provide relevant dose escalation to the actual residual tumor, and improve the efficacy compared to the adaptive mid-course replanning approach.

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