Purpose: One major obstacle for IMRT planning is to set up

Abstract ID: 16781 Title: Selection of Initial DVH constraints for IMRT planning Based on Target Dose Gradient Characteristics
Purpose: One major obstacle for IMRT planning is to set up proper DVH constraints for organs
at risk (OARs). Inexperienced IMRT planners often set OAR constraints using generic clinical
guidelines, which may not always produce the best organ sparing. The goal of this study is to
incorporate dose gradient information to set up the most likely achievable OAR dose tolerance.
Methods: We investigated the dose falloff characteristics from typical IMRT plans. We found
that the fastest dose falloff from a prostate plan can be universally used to describe the best
scenario of dose gradient near the PTV. We also found the multi-field near-field dose falloff is
different from the far-field dose falloff, which is usually described by the attenuation of a single
beam. We used an open-field un-modulated dose calculation to simulate the far-field dose
falloff. Also, we calculated the Euclidean distance map to translate the dose fall-off to regional
dose distribution. This dose distribution solely based on the distance from PTV and dose
gradient information was reloaded back into the original plan. The DVHs calculated from this
dose-gradient plan represents the best scenario of OAR sparing. Those DVH values for OARs
were used as initial estimation of DVH objective function for IMRT planning.
Results: We applied our approach to 2 head-and-neck patients, 2 lung patients, and 2 prostate
patients. We found the 40% dose falloff from the target dose prescription best represents the
dose distribution in the near-field. IMRT plans re-optimized based on OAR constraints set by
the dose-gradient method produced better OAR sparing than the clinical plans for bladder (in
prostate plans), heart (in lung plans), and oral cavity (in head-and-neck plans). All other organs
produced similar results.
Conclusions: We have designed a novel approach to incorporate dose gradient information as
dose constraints for IMRT optimization.