A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications

摘要

Background and purpose: The gross tumour volume (GTV) is predictive of clinical outcome and consequently features in many machine-learned models. 4D-planning, however, has prompted substitution of the GTV with the internal gross target volume (iGTV). We present and validate a method to synthesise GTV data from the iGTV, allowing the combination of 3D and 4D planned patient cohorts for modelling.