Results of an AI-Based Image Review System to Detect Patient Misalignment Errors in a Multi-Institutional Database of CBCT-Guided Radiotherapy Treatments

Present knowledge of patient setup and alignment errors in image-guided radiotherapy (IGRT) relies on voluntary reporting, which is thought to underestimate error frequencies. A manual retrospective patient-setup misalignment error search is infeasible due to the bulk of cases to be reviewed. We applied a deep learning-based misalignment error detection algorithm (EDA) to perform a fully-automated retrospective error search of clinical IGRT databases and determine an absolute gross patient misalignment error rate.
Source: International Journal of Radiation Oncology * Biology * Physics - Category: Radiology Authors: Tags: Physics Contribution Source Type: research