Literature DB >> 32322176

Characterization of robust optimization for VMAT plan for liver cancer.

Hideharu Miura1,2, Shuichi Ozawa1,2, Hayate Kusaba1, Yoshiko Doi1,2, Masahiko Kenjo1,2, Kiyoshi Yamada1, Yasushi Nagata1,2.   

Abstract

PURPOSE: We investigated the feasibility of robust optimization for volumetric modulated arc therapy (VMAT) stereotactic body radiation therapy (SBRT) for liver cancer in comparison with planning target volume (PTV)-based optimized plans. Treatment plan quality, robustness, complexity, and accuracy of dose delivery were assessed.
METHODS: Ten liver cancer patients were selected for this study. PTV-based optimized plans with an 8-mm PTV margin and robust optimized plans with an 8-mm setup uncertainty were generated. Plan perturbed doses were evaluated using a setup error of 8 mm in all directions from the isocenter. The dosimetric comparison parameters were clinical target volume (CTV) doses (D98%, D50%, and D2%), liver doses, and monitor unit (MU). Plan complexity was evaluated using the modulation complexity score for VMAT (MCSv).
RESULTS: There was no significant difference between the two optimizations with respect to CTV doses and MUs. Robust optimized plans had a higher liver dose than did PTV-based optimized plans. Plan perturbed dose evaluations showed that doses to the CTV for the robust optimized plans had small variations. Robust optimized plans were less complex than PTV-based optimized plans. Robust optimized plans had statistically significant fewer leaf position errors than did PTV-based optimized plans.
CONCLUSIONS: Comparison of treatment plan quality, robustness, and plan complexity of both optimizations showed that robust optimization could be feasibile for VMAT of liver cancer.
© 2020 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dosimetry comparison; Liver; Plan complexity; Robust optimization; VMAT

Year:  2020        PMID: 32322176      PMCID: PMC7163293          DOI: 10.1016/j.rpor.2020.03.012

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  18 in total

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Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

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6.  A robust approach to IMRT optimization.

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7.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76.

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Journal:  Med Phys       Date:  2006-10       Impact factor: 4.071

8.  Efficacy of robust optimization plan with partial-arc VMAT for photon volumetric-modulated arc therapy: A phantom study.

Authors:  Hideharu Miura; Shuichi Ozawa; Yasushi Nagata
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Review 9.  Robust optimization in lung treatment plans accounting for geometric uncertainty.

Authors:  Xin Zhang; Yi Rong; Steven Morrill; Jian Fang; Ganesh Narayanasamy; Edvaldo Galhardo; Sanjay Maraboyina; Christopher Croft; Fen Xia; Jose Penagaricano
Journal:  J Appl Clin Med Phys       Date:  2018-03-10       Impact factor: 2.102

Review 10.  Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma: Current Trends and Controversies.

Authors:  Stephanie K Schaub; Pehr E Hartvigson; Michael I Lock; Morten Høyer; Thomas B Brunner; Higinia R Cardenes; Laura A Dawson; Edward Y Kim; Nina A Mayr; Simon S Lo; Smith Apisarnthanarax
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
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  2 in total

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Journal:  Clin Transl Radiat Oncol       Date:  2022-05-17
  2 in total

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