Knowledge Based Planning Evolution: Multi -Criteria Optimization of Prostates. Is There Always a Better Model?

The current paradigm of radiotherapy Knowledge Based Planning (KBP) utilizes dose volume relationships on previously treated plans and may be insensitive to clinician plan preferences. To improve KBP models, incorporation of plan quality metrics and optimization weightings can be achieved using Clinical Scoring Metrics (CSM) and Multi-Criteria Optimization (MCO) respectively. A combination of KBP, MCO and CSM may result in higher quality plan output with potential to improve all prospective clinical plans. This study assesses the benefit of MCO, using CSM, and its application in the evolution of the KBP model.A retrospective Dose Volume Histogram (DVH) parameter review was undertaken for 40 intact prostate radiotherapy cases. Following analysis, these cases were used to develop the CSM system to reflect clinician preferences and departmental protocol. Hypofractionated plans containing simultaneous integrated boost (SIB) and urethral sparing were originally planned using a clinically approved KBP model (Model A). Model A was then refined using MCO, improving the 40 individual model plans to form Model B. A further 20 prostate patients, who were excluded from KBP development, were planned using both models to compare plan quality using the CSM system.Using a single optimization, Model A resulted in a median plan score of 134.1 (92.4-151.5), compared to the median Model B score of 145.1 (114.5-175.1) out of a possible score of 200 points. A Wilcoxon rank sum test was conducted and found the model score difference was significant (p = 0.014). Organ At Risk (OAR) doses, including Rectum V30 Gy, were found to significantly (p = 0.019) decrease, with Model A resulting in a median of 22.1 Gy (9.3-39.0), compared to the Model B median of 16.3 Gy (6.8-35.7). PTV coverage metric V57 Gy, resulted in no significant differences (p = 0.47) with a median score of 98.4% (97.2% - 99.9%) and 98.4% (96.9% - 99.2%) for model A and B, respectively.The application of MCO was used to influence and produce higher quality KBP models, as supported by a CSM system. OAR doses were found to significantly decrease, with no effect on target coverage. As a result, existing plan objectives were tightened through the utilization of KBP models, even with a single optimization resulting in higher scoring plans. The future development of this work may increase the efficiency of planning operations and allow the clinician to accurately anticipate planning goals for not only prostate, but all disease sites.