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Journal of Radiation Oncology

, Volume 8, Issue 3, pp 291–304 | Cite as

Impact of choice of dose calculation algorithm on PTV and OAR doses in lung SBRT

  • Kashmiri L. Chopra
  • Matthew M. Harkenrider
  • B. Emami
  • Edward Melian
  • Jaiteerth S. Avadhani
  • T. S. Kehwar
  • D. V. Rai
  • Anil SethiEmail author
Original Research
  • 22 Downloads

Abstract

Background

Five dose calculation algorithms commonly used in lung SBRT planning are evaluated for their dosimetric impact on planning target volume (PTV) and organ-at-risk (OAR) doses.

Methods and materials

Treatment plans for thirty lung SBRT patients were included in this multi-institutional planning study. Lung SBRT plans were initially generated using BrainLab Pencil Beam (PB) convolution algorithm to deliver 50 Gy in 5 fractions to PTV (PB_OP plans). Plans were recalculated using BrainLab Monte Carlo (MC) algorithm with the same beam parameters, field settings, and MUs (MC_NO plans) to investigate accuracy limits of PB plans. Next, these plans were re-optimized via MU scaling in MC algorithm while keeping original beam parameters and settings (MC_OP). Further, with these new MUs, all patient plans were recalculated with Pinnacle collapsed cone convolution superposition (CCC), Eclipse anisotropic analytic algorithm (AAA), and Eclipse Acuros XB (AXB) algorithms, and are referred to as AP_NO, AAA_NO, and AXB_NO plans, respectively. DVH of PTV and OARs were used to calculate dosimetric parameters for comparison with MC_OP plans. Patient plans were compared based on PTV size as well as the location in the lung: island targets, adjacent to the ribs/chest wall, or mixed.

Results

Lung SBRT plans using PB dose algorithm overestimated target doses by 10–20% of prescribed dose and these differences were highlighted mainly in the target periphery/dose-buildup region as seen in Dmin and D90. Compared with MC, both Pinnacle and AAA plans overestimated PTV dose in the penumbra region, whereas Acuros plans were in good agreement with MC plans. PTV dose differences ranged 3–5% among Pinnacle, AAA, and Acuros. In general, Acuros AXB performed well for adjacent and mixed targets near the ribs and chest wall, whereas Pinnacle CCC was favored for island targets. OAR Dmax and lung V20 were better reproduced in Pinnacle, whereas Dmean were comparable among all TPS.

Conclusion

Knowing the strengths and limitations of clinical treatment planning system allows more consistent and accurate dose comparison for patients enrolled in protocol studies.

Keywords

Lung SBRT AAA Acuros MC Pinnacle Pencil beam TPS 

Abbreviations

AAA

analytical anisotropic algorithm

CCC

collapsed cone convolution

CI

conformality index for 100% prescription dose

Dx

minimum dose received by x% of structure volume

V20

% of structure volume receiving at least 20 Gy dose

MC

Monte Carlo

MU

monitor units

OAR

organ at risk

PB

pencil beam

PTV

planning target volume

R50

conformality index for 50% prescription isodose volume

RTOG

Radiation Therapy Oncology Group

SBRT

stereotactic body radiotherapy

SRS

stereotactic radiosurgery

TPS

treatment planning system

Notes

Availability of data and materials

Please contact the corresponding author for data requests.

Authors’ contributions

AS and KLC participated in the study design. AS, KLC, JSA, and TSK were involved in data collection and performed the statistical analysis. BE, MMH and EM evaluated and approved clinical plans used for patient treatments. AS, KLC, TSK, and DVR reviewed results and helped draft the manuscript. All authors read and approved the final manuscript.

Compliance with ethical standards

Ethics approval and consent to participate

This study was conducted with the approval of the Institutional Review Board of Loyola University Medical Center (LU #209599).

Consent for publication

Not applicable.

Conflict of interest

The authors declare that they have no conflicts of interests.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringShobhit UniversityGangohIndia
  2. 2.Department of Radiation OncologyLoyola University Medical CenterMaywoodUSA
  3. 3.Department of Radiation Oncology, St Caritas Cancer CenterMercy Medical CenterSpringfieldUSA
  4. 4.Department of Radiation OncologyMercy Fitzgerald HospitalDarbyUSA

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