Automated robust proton planning using dose-volume histogram-based mimicking of the photon reference dose and reducing organ at risk dose optimization

An automated approach to robust pencil beam scanning proton planning has been presented by first mimicking the dose-volume histograms of the photon dose and secondly reducing the dose to non-target tissues. This 'mimicking and reducing' algorithm was evaluated in head and neck cancer patients and successfully embedded into a framework to automatically select patients for proton therapy based on normal tissue complication probabilities.

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