title: Effect of beamlet step-size on IMRT plan quality.
abstract: We have studied the degree to which beamlet step-size impacts the quality of intensity modulated radiation therapy (IMRT) treatment plans. Treatment planning for IMRT begins with the application of a grid that divides each beam's-eye-view of the target into a number of smaller beamlets (pencil beams) of radiation. The total dose is computed as a weighted sum of the dose delivered by the individual beamlets. The width of each beamlet is set to match the width of the corresponding leaf of the multileaf collimator (MLC). The length of each beamlet (beamlet step-size) is parallel to the direction of leaf travel. The beamlet step-size represents the minimum stepping distance of the leaves of the MLC and is typically predetermined by the treatment planning system. This selection imposes an artificial constraint because the leaves of the MLC and the jaws can both move continuously. Removing the constraint can potentially improve the IMRT plan quality. In this study, the optimized results were achieved using an aperture-based inverse planning technique called direct aperture optimization (DAO). We have tested the relationship between pencil beam step-size and plan quality using the American College of Radiology's IMRT test case. For this case, a series of IMRT treatment plans were produced using beamlet step-sizes of 1, 2, 5, and 10 mm. Continuous improvements were seen with each reduction in beamlet step size. The maximum dose to the planning target volume (PTV) was reduced from 134.7% to 121.5% and the mean dose to the organ at risk (OAR) was reduced from 38.5% to 28.2% as the beamlet step-size was reduced from 10 to 1 mm. The smaller pencil beam sizes also led to steeper dose gradients at the junction between the target and the critical structure with gradients of 6.0, 7.6, 8.7, and 9.1 dose%/mm achieved for beamlet step sizes of 10, 5, 2, and 1 mm, respectively.
authors.affiliation: Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA. gzhan002@umaryland.edu
authors.forename: Guowei
authors.initials: G
authors.lastname: Zhang
authors.forename: Ziping
authors.initials: Z
authors.lastname: Jiang
authors.forename: David
authors.initials: D
authors.lastname: Shepard
authors.forename: Matt
authors.initials: M
authors.lastname: Earl
authors.forename: Cedric
authors.initials: C
authors.lastname: Yu
mesh_terms: D000465:Algorithms; D006801:Humans; D015233:Models, Statistical; D009716:Numerical Analysis, Computer-Assisted; D010315:Particle Accelerators; D019047:Phantoms, Imaging; D017785:Photons; D011874:Radiometry; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D020266:Radiotherapy, Conformal / Q000379:methods; D011882:Radiotherapy, High-Energy; D050397:Radiotherapy, Intensity-Modulated / Q000295:instrumentation* / Q000379:methods*; D012984:Software