Vector-model-supported approach in prostate plan optimization

Liu, Eva Sau Fan, Wu, Vincent Wing Cheung, Harris, Benjamin, Lehman, Margot, Pryor, David and Chan, Lawrence Wing Chi (2017) Vector-model-supported approach in prostate plan optimization. Medical Dosimetry, 42 2: 79-84. doi:10.1016/j.meddos.2017.01.001


Author Liu, Eva Sau Fan
Wu, Vincent Wing Cheung
Harris, Benjamin
Lehman, Margot
Pryor, David
Chan, Lawrence Wing Chi
Title Vector-model-supported approach in prostate plan optimization
Journal name Medical Dosimetry   Check publisher's open access policy
ISSN 1873-4022
0958-3947
Publication date 2017-03-18
Sub-type Article (original research)
DOI 10.1016/j.meddos.2017.01.001
Open Access Status Not yet assessed
Volume 42
Issue 2
Start page 79
End page 84
Total pages 6
Place of publication Philadelphia, PA, United States
Publisher Elsevier
Collection year 2018
Language eng
Abstract Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot intensity-modulated radiotherapy/volumetric-modulated radiotherapy (S&S IMRT/VMAT). A vector model base, retrieving similar radiotherapy cases, was developed with respect to the structural and physiologic features extracted from the Digital Imaging and Communications in Medicine (DICOM) files. Planning parameters were retrieved from the selected similar reference case and applied to the test case to bypass the gradual adjustment of planning parameters. Therefore, the planning time spent on the traditional trial-and-error manual optimization approach in the beginning of optimization could be reduced. Each S&S IMRT/VMAT prostate reference database comprised 100 previously treated cases. Prostate cases were replanned with both traditional optimization and vector-model-supported optimization based on the oncologists' clinical dose prescriptions. A total of 360 plans, which consisted of 30 cases of S&S IMRT, 30 cases of 1-arc VMAT, and 30 cases of 2-arc VMAT plans including first optimization and final optimization with/without vector-model-supported optimization, were compared using the 2-sided t-test and paired Wilcoxon signed rank test, with a significance level of 0.05 and a false discovery rate of less than 0.05. For S&S IMRT, 1-arc VMAT, and 2-arc VMAT prostate plans, there was a significant reduction in the planning time and iteration with vector-model-supported optimization by almost 50%. When the first optimization plans were compared, 2-arc VMAT prostate plans had better plan quality than 1-arc VMAT plans. The volume receiving 35 Gy in the femoral head for 2-arc VMAT plans was reduced with the vector-model-supported optimization compared with the traditional manual optimization approach. Otherwise, the quality of plans from both approaches was comparable. Vector-model-supported optimization was shown to offer much shortened planning time and iteration number without compromising the plan quality.
Keyword Intensity-modulated radiotherapy
Optimization
Prostate cancer
Vector model
Volumetric-modulated radiotherapy
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
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