Presentation on theme: "Direct Segment Optimization Optimizing conformal plans without IMRT Jennifer M. Steers 1,2, Martha M. Matuszak 1,2, Benedick A. Fraass 1 Departments of."— Presentation transcript:
Direct Segment Optimization Optimizing conformal plans without IMRT Jennifer M. Steers 1,2, Martha M. Matuszak 1,2, Benedick A. Fraass 1 Departments of Radiation Oncology 1 and Nuclear Engineering & Radiological Sciences 2 University of Michigan, Ann Arbor, Michigan
Outline Introduction – What is DSO? – Why are in we interested in DSO? – Goal Methods and Materials Results – IMRT vs. DSO comparisons Conclusions
Direct segment optimization (DSO) – form of direct aperture optimization (DAO) but based on flat fields, not on beamlet distribution Utilizes user-defined cost functions to optimize the following: – Beam weights – MLC positions What is DSO?
Why are we interested in DSO? Plans are optimized conformal plans – Can reduce delivery time over IMRT – Can result in fewer MUs when compared to IMRT Plans do not require IMRT QA - plans could be started or adapted much quicker It may make tweaking and optimizing leaf positions in conformal plans, such as SBRT, much quicker
Goal Can DSO produce simpler plans comparable in quality to IMRT plans with the same beam angles and cost function?
Methods and Materials: Features of DSO MLCs and beam weights can be optimized separately or together Search strategy options – Ordered and random searches – Step sizes DSO offers fewer degrees of freedom per beam when compared to IMRT – User must create segments in a plan before optimizing
IMRT vs. DSO Setup Planning goal: Minimize dose to OARs and normal tissues without compromising target uniformity Same gantry angles were used between the IMRT and DSO plans except when needed segments were added to the DSO case The same cost function was used to optimize both the IMRT and DSO plans
Evaluation of Comparisons Both plans were optimized and evaluated with the following metrics – DVHs – MU/fx and beam-on time/fx – Mean doses to structures – Max structure doses (to 0.5cc or 0.1 cc) – D 95 (for PTVs) – 3D dose comparisons
Brain Planning Goals Target : 60 Gy (Min: 59, max: 61) Normal brain: minimize dose (threshold 0, power 2) Optic structures: minimize dose (threshold 0, power 2)
Maximum Doses (Gy) * = Max dose to 0.5 cc; ** = Max dose to 0.1 cc PTV * Chiasm ** R Eye ** L Eye ** Normal Brain * DSO63.515.11.0 63.4 1x1 Beamlets18.104.22.168 62.9 Mean Doses (Gy) PTVChiasmR EyeL Eye Normal Brain DSO59.678.520.590.7325.60 1x1 Beamlets59.718.530.600.6324.56 Brain11 PTV D 95 (Gy) DSO 56.1 1x1 Beamlets 56.2
Conclusions DSO can successfully optimize several types of planning scenarios while reducing treatment time Optimizing with DSO can produce plans comparable in quality to IMRT with less MUs and segments No need for the type of QA associated with IMRT plans Overall plan complexity is less
Conclusions In the future: – DSO may be more time efficient while yielding similar quality plans as IMRT in an adaptive re- planning scenario – Since DSO produces flat-field plans, it may be useful for cases with inter- and intra-fraction motion – Looking at other sites that could benefit from twiddling (prostate, SBRT, pediatric)