Our research on using deep learning for dose prediction via a novel transformation method based on boundary distance was proposed to facilitate the prediction of dose distributionshas been published in Radiotherapy and Oncology. This study first tries to develop a dose prediction deep learning method for nasopharyngeal carcinoma radiotherapy by taking advantage of the distance information as well as the mask information.