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Title: Dose sculpting with generalized equivalent uniform dose

Abstract

With intensity-modulated radiotherapy (IMRT), a variety of user-defined dose distribution can be produced using inverse planning. The generalized equivalent uniform dose (gEUD) has been used in IMRT optimization as an alternative objective function to the conventional dose-volume-based criteria. The purpose of this study was to investigate the effectiveness of gEUD optimization to fine tune the dose distributions of IMRT plans. We analyzed the effect of gEUD-based optimization parameters on plan quality. The objective was to determine whether dose distribution to selected structures could be improved using gEUD optimization without adversely altering the doses delivered to other structures, as in sculpting. We hypothesized that by carefully defining gEUD parameters (EUD{sub 0} and n) based on the current dose distributions, the optimization system could be instructed to search for alternative solutions in the neighborhood, and we could maintain the dose distributions for structures already satisfactory and improve dose for structures that need enhancement. We started with an already acceptable IMRT plan optimized with any objective function. The dose distribution was analyzed first. For structures that dose should not be changed, a higher value of n was used and EUD{sub 0} was set slightly higher/lower than the EUD value at the current dosemore » distribution for critical structures/targets. For structures that needed improvement in dose, a higher to medium value of n was used, and EUD{sub 0} was set to the EUD value or slightly lower/higher for the critical structure/target at the current dose distribution. We evaluated this method in one clinical case each of head and neck, lung and prostate cancer. Dose volume histograms, isodose distributions, and relevant tolerance doses for critical structures were used for the assessment. We found that by adjusting gEUD optimization parameters, the dose distribution could be improved with only a few iterations. A larger value of n could lead to faster convergence and a medium value of n could result in a search in a broader area. Such improvement could also be achieved by optimization based on other criteria, but the gEUD-based method has the advantage of efficiency and flexibility. Therefore, gEUD-based optimization can be used as a tool to improve IMRT plans by adjusting the planning parameters, thereby making dose sculpting feasible.« less

Authors:
; ; ; ; ;  [1]
  1. Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, Michigan 48073 (United States)
Publication Date:
OSTI Identifier:
20634688
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 32; Journal Issue: 5; Other Information: DOI: 10.1118/1.1897464; (c) 2005 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; DOSIMETRY; EFFICIENCY; HEAD; LUNGS; MODULATION; NECK; NEOPLASMS; OPTIMIZATION; PLANNING; PROSTATE; RADIATION DOSE DISTRIBUTIONS; RADIATION DOSES; RADIOTHERAPY

Citation Formats

Qiuwen, Wu, Djajaputra, David, Liu, Helen H, Lei, Dong, Mohan, Radhe, Wu, Yan, Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, Nebraska 68198, Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, and Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298. Dose sculpting with generalized equivalent uniform dose. United States: N. p., 2005. Web. doi:10.1118/1.1897464.
Qiuwen, Wu, Djajaputra, David, Liu, Helen H, Lei, Dong, Mohan, Radhe, Wu, Yan, Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, Nebraska 68198, Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, & Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298. Dose sculpting with generalized equivalent uniform dose. United States. https://doi.org/10.1118/1.1897464
Qiuwen, Wu, Djajaputra, David, Liu, Helen H, Lei, Dong, Mohan, Radhe, Wu, Yan, Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, Nebraska 68198, Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, and Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298. 2005. "Dose sculpting with generalized equivalent uniform dose". United States. https://doi.org/10.1118/1.1897464.
@article{osti_20634688,
title = {Dose sculpting with generalized equivalent uniform dose},
author = {Qiuwen, Wu and Djajaputra, David and Liu, Helen H and Lei, Dong and Mohan, Radhe and Wu, Yan and Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, Nebraska 68198 and Department of Radiation Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030 and Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298},
abstractNote = {With intensity-modulated radiotherapy (IMRT), a variety of user-defined dose distribution can be produced using inverse planning. The generalized equivalent uniform dose (gEUD) has been used in IMRT optimization as an alternative objective function to the conventional dose-volume-based criteria. The purpose of this study was to investigate the effectiveness of gEUD optimization to fine tune the dose distributions of IMRT plans. We analyzed the effect of gEUD-based optimization parameters on plan quality. The objective was to determine whether dose distribution to selected structures could be improved using gEUD optimization without adversely altering the doses delivered to other structures, as in sculpting. We hypothesized that by carefully defining gEUD parameters (EUD{sub 0} and n) based on the current dose distributions, the optimization system could be instructed to search for alternative solutions in the neighborhood, and we could maintain the dose distributions for structures already satisfactory and improve dose for structures that need enhancement. We started with an already acceptable IMRT plan optimized with any objective function. The dose distribution was analyzed first. For structures that dose should not be changed, a higher value of n was used and EUD{sub 0} was set slightly higher/lower than the EUD value at the current dose distribution for critical structures/targets. For structures that needed improvement in dose, a higher to medium value of n was used, and EUD{sub 0} was set to the EUD value or slightly lower/higher for the critical structure/target at the current dose distribution. We evaluated this method in one clinical case each of head and neck, lung and prostate cancer. Dose volume histograms, isodose distributions, and relevant tolerance doses for critical structures were used for the assessment. We found that by adjusting gEUD optimization parameters, the dose distribution could be improved with only a few iterations. A larger value of n could lead to faster convergence and a medium value of n could result in a search in a broader area. Such improvement could also be achieved by optimization based on other criteria, but the gEUD-based method has the advantage of efficiency and flexibility. Therefore, gEUD-based optimization can be used as a tool to improve IMRT plans by adjusting the planning parameters, thereby making dose sculpting feasible.},
doi = {10.1118/1.1897464},
url = {https://www.osti.gov/biblio/20634688}, journal = {Medical Physics},
issn = {0094-2405},
number = 5,
volume = 32,
place = {United States},
year = {Sun May 01 00:00:00 EDT 2005},
month = {Sun May 01 00:00:00 EDT 2005}
}