全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Acuros-Based Planning with Density Override for Lung SBRT by a Dynamic Conformal Arc Technique: Comparative Evaluation with AAA-Based Planning in Four-Dimensional Dose

DOI: 10.4236/ijmpcero.2021.102009, PP. 94-110

Keywords: Lung SBRT, Acuros, Density Override, AAA, 4D Dose Calculation

Full-Text   Cite this paper   Add to My Lib

Abstract:

The purpose of this study was to evaluate a planning strategy based on Acuros with density override in comparison with AAA without and with the override. Ten lung-tumor patients were selected with each PTV size around 2 - 4 cm and were imaged using slow scan, followed by four-dimensional (4D) imaging limited to the target. On each phase-specific image, gross tumor volume (GTV) was contoured. Summed over all phases, an integrated GTV (iGTV) was generated and copied to the slow scan. A treatment plan was created using a dynamic-conformal-arc technique with AAA to prescribe 60 Gy to 95% of PTV (iGTV + 0.5 cm). Each AAA-based plan was regenerated by overriding the density of the setup margin of PTV by GTV density (modeling tumor-position uncertainty). It was also regenerated with Acuros and the override. The three plans were validated in 4D dose to PTV, after similarly overriding PTV density (phase-specific), accurately calculating with Acuros, and summing the phase-specific plans through organ/dose registration. The Acuros-based plan with the override, the AAA-based plan, and the AAA-based plan with the override provided 4D PTV doses of 63.9, 67.9, and 62 Gy at D95%, respectively, averaged over all patients. The override with Acuros and AAA produced lesser 4D doses, closer to the associated 3D doses, respectively, than that without the override, with better conformity and inhomogeneity. With the override in common, Acuros provided a greater dose to PTV than that by AAA. The Acuros with the override, which was more accurate than the AAA without the override, is clinically recommended.

References

[1]  Timmerman, R., Paulus, R., Galvin, J., et al. (2010) Stereotactic Body Radiation Therapy for Inoperable Early Stage Lung Cancer. JAMA, 303, 1070-1076.
https://doi.org/10.1001/jama.2010.261
[2]  Bezjak, A. (2011) RTOG0813 Seamless Phase I/II Study of SBRT for Early Stage, Centrally Located, Non-Small Cell Lung Cancer in Medially Inoperable Patients. Radiation Therapy Oncology Group, USA.
[3]  Rana, S., Rogers, K., Pokharel, S. and Cheng, C. (2014) Evaluation of Acuros XB Algorithm Based on RTOG 0813 Dosimetric Criteria for SBRT Lung Treatment with RapidArc. Journal of Applied Clinical Medical Physics, 15, 118-129.
https://doi.org/10.1120/jacmp.v15i1.4474
[4]  Shiraishi, S., Santos, L., Antolak, J., et al. (2019) Phantom Verification of AAA and Acuros Dose Calculations for Lung Cancer: Do Tumor Size and Regression Matter? Practical Radiation Oncology, 9, 29-37.
https://doi.org/10.1016/j.prro.2018.06.008
[5]  Peterlin, P., Stanic, K., Mendez, I., et al. (2017) Treating Lung Cancer with Dynamic Conformal Arc Therapy: A Dosimetric Study. Radiation Oncology, 12, Article No. 93.
https://doi.org/10.1186/s13014-017-0823-y
[6]  Ross, C., Kim, J., Chen, Z., et al. (2011) A Novel Modified Dynamic Conformal Arc Technique for Treatment of Peripheral Lung Tumors Using Stereotactic Body Radiation Therapy. Practical Radiation Oncology, 1, 126-134.
[7]  Tsuruta, Y., Nakata, M., Nakamura, M., et al. (2014) Dosimetric Comparison of Acuros XB, AAA, and XVMC in Stereotactic Body Radiotherapy for Lung Cancer. Medical Physics, 41, Article ID: 081715.
https://doi.org/10.1118/1.4890592
[8]  Liu, H., Nugent, Z., Clayton, R., et al. (2014) Clinical Impact of Using the Deterministic Patient Dose Calculation Algorithm Acuros XB for Lung Stereotactic Body Radiation Therapy. Acta Oncologica, 53, 324-329.
https://doi.org/10.3109/0284186X.2013.822552
[9]  Ong, C., Ang, K., Soh, R., et al. (2017) Dosimetric Comparison of Peripheral NSCLC SBRT Using Acuros XB and AAA Calculation Algorithms. Medical Dosimetry, 42, 216-222.
https://doi.org/10.1016/j.meddos.2017.05.005
[10]  Huang, B., Wu, L., Lin, P., et al. (2015) Dose Calculation of Acuros XB and Anisotropic Analytic Algorithm in Lung Stereotactic Body Radiotherapy Treatment with Flattening Filter Free Beams and the Potential Role of Calculation Grid Size. Radiation Oncology, 10, Article No. 53.
https://doi.org/10.1186/s13014-015-0357-0
[11]  Kroon, P., Hol, S. and Essers, M. (2013) Dosimetric Accuracy and Clinical Quality of Acuros XB and AAA Dose Calculation Algorithm for Stereotactic and Conventional Lung Volumetric Modulated Arc Therapy Plans. Radiation Oncology, 8, Article No.149.
https://doi.org/10.1186/1748-717X-8-149
[12]  Yan, C., Combine, A. and Bednarz, G. (2017) Clinical Implementation and Evaluation of the Acuros Dose Calculation Algorithm. Journal of Applied Clinical Medical Physics, 18, 195-209.
https://doi.org/10.1002/acm2.12149
[13]  Bush, K., Gagne, I.M., Zavgorodni, S., et al. (2011) Dosimetric Validation of Acuros SB with Monte Carlo Methods for Photon Dose Calculations. Medical Physics, 38, 2208-2221.
https://doi.org/10.1118/1.3567146
[14]  Wiant, D., Vanderstraeten, C., Maurer, J., et al. (2014) On the Validity of Density Overrides for VMAT Lung SBRT Planning. Medical Physics, 41, Article ID: 081707.
https://doi.org/10.1118/1.4887778
[15]  Yoon, J., Jung, J., Kim, J., et al. (2016) Four-Dimensional Dose Reconstruction Through in vivo Phase Matching of Cine Images of Electronic Portal Imaging Device. Medical Physics, 43, 4420-4430.
https://doi.org/10.1118/1.4954317
[16]  Takao, S., Miyamoto, N., Matsuura, T., et al. (2016) Intrafractional Baseline Shift or Drift of Lung Tumor Motion During Gated Radiation Therapy with a Real-Time Tumor-Tracking System. International Journal of Radiation Oncology, Biology, Physics, 94, 172-180.
https://doi.org/10.1016/j.ijrobp.2015.09.024
[17]  Ma, J., Liu, Y., Sun, L., et al. (2018) Chest Wall Toxicity after Stereotactic Body Radiation Therapy: A Pooled Analysis of 57 Studies. International Journal of Radiation Oncology, Biology, Physics, 103, 843-850.
https://doi.org/10.1016/j.ijrobp.2018.11.036

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133