Inverse‐planned deliverable 4D‐IMRT for lung SBRT
Authors: Hamzeei Mahdi , Modiri Arezoo , Kazemzadeh Narges , Hagan Aaron , Sawant Amit 
Published: August 2018

PurposeWe present a particle swarm optimization (PSO)‐based technique to create deliverable four‐dimensional (4D = 3D + time) intensity‐modulated radiation therapy (IMRT) plans for lung stereotactic body radiotherapy (SBRT). The 4D planning concept uses respiratory motion as an additional degree of freedom to achieve further sparing of organs at risk (OARs). The 4D‐IMRT plan involves the delivery of an order of magnitude more IMRT apertures (~15,000–20,000), with potentially large interaperture variations in the delivered fluence, compared to conventional (i.e., 3D) IMRT. In order to deliver the 4D plan in an efficient manner, we present an optimization‐based aperture sequencing technique.MethodA graphic processing unit (GPU)‐enabled PSO‐based inverse planning engine, developed and integrated with a research version of the Eclipse (Varian, Palo Alto, CA) treatment planning system (TPS), was employed to create 4D‐IMRT plans as follows. Four‐dimensional computed tomography scans (4DCTs) and beam configurations from clinical treatment plans of seven lung cancer patients were retrospectively collected, and in each case, the PSO engine iteratively adjusted aperture monitor unit (MU) weights for all beam apertures across all respiratory phases to optimize OAR dose sparing while maintaining planning target volume (PTV) coverage. We calculated the transition times from each aperture to all other apertures for each beam, taking into account the maximum leaf velocity of the multileaf collimator (MLC), and developed a mixed integer optimization technique for aperture sequencing. The goal of sequencing was to maximize delivery efficiency (i.e., minimize the time required to deliver the dose map) by accounting for leaf velocity, aperture MUs, and duration of each respiratory phase. The efficiency of the proposed delivery method was compared with that of a greedy algorithm which chose only from neighboring apertures for the subsequent steps in the sequence.Results4D‐IMRT‐optimized plans achieved PTV coverage comparable to clinical plans while improving OAR sparing by an average of 39.7% for heart, 20.5% for esophagus, 25.6% for spinal cord, and 2.1% for lung (with standing for maximum dose and standing for volume receiving 13 Gy). Our mixed integer optimization‐based aperture sequencing enabled the delivery to be performed in fewer cycles compared to the greedy method. This reduction was 89 ± 79 cycles corresponding to an improvement of 15.94 ± 8.01%, when considering respiratory cycle duration of 4 s, and 55 ± 33 cycles corresponding to an improvement of 15.14 ± 4.45%, when considering respiratory cycle duration of 6 s.ConclusionPSO‐based 4D‐IMRT represents an attractive technique to further improve OAR sparing in lung SBRT. Efficient delivery of a large number of sparse apertures (control points) introduces a challenge in 4D‐IMRT treatment planning and delivery. Through judicious optimization of the aperture sequence across all phases, such delivery can be performed on a clinically feasible time scale.