Objectives To demonstrate that novice dosimetry planners efficiently create clinically
acceptable IMRT plans for head and neck cancer (HNC) patients using a commercially …

Purpose Automated and knowledge-based planning techniques aim to reduce variations in
plan quality. RapidPlan uses a library consisting of different patient plans to make a model …

Background Agreement between planners and treating radiation oncologists (ROs) on plan
quality criteria is essential for consistent planning. Differences between ROs and planning …

This study aimed to investigate the feasibility of using a knowledge‐based planning
technique to detect poor quality VMAT plans for patients with head and neck cancer. We …

Background A new strategy is introduced combining the use of Multi-Criteria Optimization-
based Trade-Off Exploration (TO) and RapidPlan™(RP) for the selection of optimisation …

Purpose Radiation treatment planning for head and neck cancer is a complex process with
much variability; automated treatment planning is a promising option to improve plan quality …

Purpose: Various published reports involving intensity-modulated radiotherapy (IMRT) plans
developed using automated optimization (inverse planning) have demonstrated highly …

Background Treatment plans for head and neck (H&N) cancer are highly complex due to
multiple dose prescription levels and numerous organs at risk (OARs) close to the target …

PURPOSE: To prospectively compare plans generated with iCycle, an in-house-developed
algorithm for fully automated multicriterial intensity modulated radiation therapy (IMRT) …

Purpose Our purpose was to compare robust intensity modulated proton therapy (IMPT)
plans, automatically generated with wish-list–based multicriterial optimization as …