Clinical Investigation
Volumetric Modulated Arc Therapy: Planning and Evaluation for Prostate Cancer Cases

Presented at the annual meeting of American Association of Physicists in Medicine, Houston, July 2008.
https://doi.org/10.1016/j.ijrobp.2009.03.033Get rights and content

Purpose

To develop an optimization method using volumetric modulated arc therapy (VMAT) and evaluate VMAT plans relative to the standard intensity-modulated radiotherapy (IMRT) approach in prostate cancer.

Methods and Materials

A single gantry rotation was modeled using 177 equispaced beams. Multileaf collimator apertures and dose rates were optimized with respect to gantry angle subject to dose-volume–based objectives. Our VMAT implementation used conjugate gradient descent to optimize dose rate, and stochastic sampling to find optimal multileaf collimator leaf positions. A treatment planning study of 11 prostate cancer patients with a prescription dose of 86.4 Gy was performed to compare VMAT with a standard five-field IMRT approach. Plan evaluation statistics included the percentage of planning target volume (PTV) receiving 95% of prescribed dose (V95), dose to 95% of PTV (D95), mean PTV dose, tumor control probability, and dosimetric endpoints of normal organs, whereas monitor unit (MU) and delivery time were used to assess delivery efficiency.

Results

Patient-averaged PTV V95, D95, mean dose, and tumor control probability in VMAT plans were 96%, 82.6 Gy, 88.5 Gy, and 0.920, respectively, vs. 97%, 84.0 Gy, 88.9 Gy, and 0.929 in IMRT plans. All critical structure dose requirements were met. The VMAT plans presented better rectal wall sparing, with a reduction of 1.5% in normal tissue complication probability. An advantage of VMAT plans was that the average number of MUs (290 MU) was less than for IMRT plans (642 MU).

Conclusion

The VMAT technique can reduce beam on time by up to 55% while maintaining dosimetric quality comparable to that of the standard IMRT approach.

Introduction

Volumetric modulated arc therapy (VMAT) proposed by Otto (1) is an emerging treatment paradigm. Currently there are three mechanical variables in VMAT delivery: (a) gantry rotation, (b) multileaf collimator (MLC) motion, and (c) dose rate modulation. In the current platform of the Trilogy 2300I linear accelerator (Varian Medical Systems, Palo Alto, CA), both MLC aperture and dose rate can be simultaneously adjusted in an arc of 360° or less, whereas gantry speed is modulated as needed. As described by Ling et al.(2), the current mechanical constraints imposed by the maximum MLC leaf speed is 5 mm/°, corresponding to about 2.5 cm/sec. The allowable dose rate modulation range is 30–600 monitor units (MU)/min, corresponding to 0.1–2 MU/°. When more than 2 MU/° is needed at certain beam angles, the gantry will decelerate to allow delivery of more radiation dose.

The VMAT optimization algorithm is an expansion of the direct aperture optimization (DAO) algorithm proposed and tested by Shepard et al.(3) and Earl et al.(4). The DAO was designed for step-and-shoot intensity-modulated radiation therapy (IMRT) 5, 6, 7, 8, 9, 10. In the DAO approach, a predefined number of beam apertures and their MUs are optimized with respect to a fixed number of beam angles. The VMAT is more efficient and powerful than DAO-based step-and-shoot IMRT because the VMAT (a) takes advantage of the full range of 360° beam directions, (b) allows dose rate modulation during delivery, and (c) integrates the treatment delivery into a continuous procedure. These improvements are allowed by the current advancements in the design of MLC and Linac control system. Another well-studied paradigm of arc therapy is intensity-modulated arc therapy (IMAT) proposed by Yu (11), Yu et al.(12), and other investigators 13, 14, 15, 16, 17. Unlike IMAT, VMAT combines intensity map optimization and leaf sequencing as one process. The VMAT optimizes the treatment machine parameters directly; thus, the resultant optimized plan can be delivered without an additional MLC sequencing algorithm that often compromises the plan quality. Therefore, VMAT optimization is more intuitive and efficient.

The purpose of this study is first to describe the implementation of VMAT optimization on the current Memorial Sloan Kettering Cancer Center (MSKCC) treatment planning system and second to compare VMAT treatment plans with the standard five-field IMRT approach under MSKCC prostate treatment protocol by evaluating both dosimetric and delivery efficiency parameters.

Section snippets

Optimization algorithm

We describe our optimization method for VMAT treatment plans. A single gantry rotation up to 360° is modeled using 177 equispaced beams. The maximum number of 177 beams is the technical limit of the delivery system on the current Trilogy platform. Optimization parameters in VMAT planning are the beam apertures (MLC positions) and dose rate at each beam gantry angle. The optimization algorithm uses a dose–volume histogram (DVH) constraint-based objective function:Obj=1NTi=1NT[rT(DiDp)2+rLTH(DL

Results

The PTV volume in the 11-patient planning study ranged from 130 cc to 213 cc (median, 178 cc). The averaged PTV, rectal wall, bladder wall, and body DVHs are illustrated in Fig. 3a, b, c, d, respectively. Zones in which IMRT plans were statistically better than VMAT (p < 0.05) are marked with light gray, whereas zones in which VMAT plans were statistically better are marked with dark gray. Fig. 4 shows a dose distribution comparison between VMAT and IMRT of a typical case. Comparison of

Discussion

In this article we have reported on a prototype VMAT plan optimization system that is integrated in the existing MSKCC treatment planning platform. We have demonstrated the capability of our VMAT optimization algorithm in a treatment planning study of 11 prostate cancer patients planned according to the standard MSKCC prostate treatment technique. Our optimization method differs from that reported by Otto (1) in the following ways: (a) the use of conjugate gradient search in the beam weight

Conclusion

In the treatment of prostate cancer, VMAT techniques can increase treatment time efficiency by up to 55% while maintaining comparable dosimetric quality to that of standard IMRT approaches, even when challenged by high prescription doses and tight normal tissue constraints.

Acknowledgment

The authors thank Yves Archimbault from Varian Medical Systems, Palo Alto, CA, for his help and discussion regarding Varian's implementation of RapidArc.

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    Conflict of interest: Memorial Sloan-Kettering Cancer Center has a research agreement with Varian Medical Systems.

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