skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Vector-model-supported approach in prostate plan optimization

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 planningmore » 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.« less

Authors:
 [1];  [2];  [3];  [1]; ;  [1];  [4];  [3]
  1. Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane (Australia)
  2. (Hong Kong)
  3. Department of Health Technology and Informatics, The Hong Kong Polytechnic University (Hong Kong)
  4. (Australia)
Publication Date:
OSTI Identifier:
22685186
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Dosimetry; Journal Volume: 42; Journal Issue: 2; Other Information: Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
61 RADIATION PROTECTION AND DOSIMETRY; 62 RADIOLOGY AND NUCLEAR MEDICINE; BYPASSES; COMMUNICATIONS; COMPARATIVE EVALUATIONS; DRUGS; ERRORS; HEAD; MANUALS; MEDICAL PERSONNEL; NEOPLASMS; OPTIMIZATION; PLANNING; PROSTATE; RADIATION DOSES; RADIOTHERAPY; VECTORS

Citation Formats

Liu, Eva Sau Fan, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Wu, Vincent Wing Cheung, Harris, Benjamin, Lehman, Margot, Pryor, David, School of Medicine, University of Queensland, and Chan, Lawrence Wing Chi, E-mail: wing.chi.chan@polyu.edu.hk. Vector-model-supported approach in prostate plan optimization. United States: N. p., 2017. Web. doi:10.1016/J.MEDDOS.2017.01.001.
Liu, Eva Sau Fan, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Wu, Vincent Wing Cheung, Harris, Benjamin, Lehman, Margot, Pryor, David, School of Medicine, University of Queensland, & Chan, Lawrence Wing Chi, E-mail: wing.chi.chan@polyu.edu.hk. Vector-model-supported approach in prostate plan optimization. United States. doi:10.1016/J.MEDDOS.2017.01.001.
Liu, Eva Sau Fan, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Wu, Vincent Wing Cheung, Harris, Benjamin, Lehman, Margot, Pryor, David, School of Medicine, University of Queensland, and Chan, Lawrence Wing Chi, E-mail: wing.chi.chan@polyu.edu.hk. Sat . "Vector-model-supported approach in prostate plan optimization". United States. doi:10.1016/J.MEDDOS.2017.01.001.
@article{osti_22685186,
title = {Vector-model-supported approach in prostate plan optimization},
author = {Liu, Eva Sau Fan and Department of Health Technology and Informatics, The Hong Kong Polytechnic University and Wu, Vincent Wing Cheung and Harris, Benjamin and Lehman, Margot and Pryor, David and School of Medicine, University of Queensland and Chan, Lawrence Wing Chi, E-mail: wing.chi.chan@polyu.edu.hk},
abstractNote = {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.},
doi = {10.1016/J.MEDDOS.2017.01.001},
journal = {Medical Dosimetry},
number = 2,
volume = 42,
place = {United States},
year = {Sat Jul 01 00:00:00 EDT 2017},
month = {Sat Jul 01 00:00:00 EDT 2017}
}