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Title: SU-E-T-76: A Software System to Monitor VMAT Plan Complexity in a Large Radiotherapy Centre

Abstract

Purpose: To develop a system that analyses and reports the complexity of Volumetric Modulated Arc Therapy (VMAT) plans to aid in the decision making for streamlining patient specific dosimetric quality assurance (QA) tests. Methods: A software system, Delcheck, was developed in-house to calculate VMAT plan and delivery complexity using the treatment delivery file. Delcheck has the functionality to calculate multiple plan complexity metrics including the Li-Xing Modulation Index (LI-MI), multiplicative combination of Leaf Travel and Modulation Complexity Score (LTMCSv), Monitor Units per prescribed dose (MU/D) and the delivery complexity index (MIt) that incorporates the modulation of dose rate, leaf speed and gantry speed. Delcheck includes database functionality to store and compare plan metrics for a specified treatment site. The overall plan and delivery complexity is assessed based on the 95% conformance limit of the complexity metrics as Similar, More or Less complex. The functionality of the software was tested using 42 prostate conventional, 10 prostate SBRT and 15 prostate bed VMAT plans generated for an Elekta linear accelerator. Results: The mean(σ) of LI-MI for conventional, SBRT and prostate bed plans were 1690(486), 3215.4(1294) and 3258(982) respectively. The LTMCSv of the studied categories were 0.334(0.05), 0.325(0.07) and 0.3112(0.09). The MU/D ofmore » the studied categories were 2.4(0.4), 2.7(0.7) and 2.5(0.5). The MIt of the studied categories were 21.6(3.4), 18.2(3.0) and 35.9(6.6). The values of the complexity metrics show that LI-MI appeared to resolve the plan complexity better than LTMCSv and MU/D. The MIt value increased as the delivery complexity increased. Conclusion: The developed software was shown to be working as expected. In studied treatment categories Prostate bed plans are more complex in both plan and delivery and SBRT is more complex in plan and less complex in delivery as demonstrated by LI-MI and MIt. This project was funded through a Cancer Council NSW Project Grant (RG14-11)« less

Authors:
;  [1];  [1];  [2];  [1]
  1. Liverpool and Macarthur Cancer Therapy Centres, Sydney, NSW (Australia)
  2. Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW (Australia)
Publication Date:
OSTI Identifier:
22545206
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 42; Journal Issue: 6; Other Information: (c) 2015 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:
60 APPLIED LIFE SCIENCES; COMPUTER CODES; DECISION MAKING; DOSE RATES; LINEAR ACCELERATORS; MODULATION; NEOPLASMS; PATIENTS; PROSTATE; QUALITY ASSURANCE; RADIATION DOSES; RADIOTHERAPY

Citation Formats

Arumugam, S, Xing, A, Ingham Institute, Sydney, NSW, Vial, P, Ingham Institute, Sydney, NSW, Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW, Thwaites, D, Holloway, L, Ingham Institute, Sydney, NSW, Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW, and Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW. SU-E-T-76: A Software System to Monitor VMAT Plan Complexity in a Large Radiotherapy Centre. United States: N. p., 2015. Web. doi:10.1118/1.4924437.
Arumugam, S, Xing, A, Ingham Institute, Sydney, NSW, Vial, P, Ingham Institute, Sydney, NSW, Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW, Thwaites, D, Holloway, L, Ingham Institute, Sydney, NSW, Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW, & Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW. SU-E-T-76: A Software System to Monitor VMAT Plan Complexity in a Large Radiotherapy Centre. United States. https://doi.org/10.1118/1.4924437
Arumugam, S, Xing, A, Ingham Institute, Sydney, NSW, Vial, P, Ingham Institute, Sydney, NSW, Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW, Thwaites, D, Holloway, L, Ingham Institute, Sydney, NSW, Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW, and Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW. 2015. "SU-E-T-76: A Software System to Monitor VMAT Plan Complexity in a Large Radiotherapy Centre". United States. https://doi.org/10.1118/1.4924437.
@article{osti_22545206,
title = {SU-E-T-76: A Software System to Monitor VMAT Plan Complexity in a Large Radiotherapy Centre},
author = {Arumugam, S and Xing, A and Ingham Institute, Sydney, NSW and Vial, P and Ingham Institute, Sydney, NSW and Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW and Thwaites, D and Holloway, L and Ingham Institute, Sydney, NSW and Institute of Medical Physics, School of Physics, University of Sydney, Sydney, NSW and Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW},
abstractNote = {Purpose: To develop a system that analyses and reports the complexity of Volumetric Modulated Arc Therapy (VMAT) plans to aid in the decision making for streamlining patient specific dosimetric quality assurance (QA) tests. Methods: A software system, Delcheck, was developed in-house to calculate VMAT plan and delivery complexity using the treatment delivery file. Delcheck has the functionality to calculate multiple plan complexity metrics including the Li-Xing Modulation Index (LI-MI), multiplicative combination of Leaf Travel and Modulation Complexity Score (LTMCSv), Monitor Units per prescribed dose (MU/D) and the delivery complexity index (MIt) that incorporates the modulation of dose rate, leaf speed and gantry speed. Delcheck includes database functionality to store and compare plan metrics for a specified treatment site. The overall plan and delivery complexity is assessed based on the 95% conformance limit of the complexity metrics as Similar, More or Less complex. The functionality of the software was tested using 42 prostate conventional, 10 prostate SBRT and 15 prostate bed VMAT plans generated for an Elekta linear accelerator. Results: The mean(σ) of LI-MI for conventional, SBRT and prostate bed plans were 1690(486), 3215.4(1294) and 3258(982) respectively. The LTMCSv of the studied categories were 0.334(0.05), 0.325(0.07) and 0.3112(0.09). The MU/D of the studied categories were 2.4(0.4), 2.7(0.7) and 2.5(0.5). The MIt of the studied categories were 21.6(3.4), 18.2(3.0) and 35.9(6.6). The values of the complexity metrics show that LI-MI appeared to resolve the plan complexity better than LTMCSv and MU/D. The MIt value increased as the delivery complexity increased. Conclusion: The developed software was shown to be working as expected. In studied treatment categories Prostate bed plans are more complex in both plan and delivery and SBRT is more complex in plan and less complex in delivery as demonstrated by LI-MI and MIt. This project was funded through a Cancer Council NSW Project Grant (RG14-11)},
doi = {10.1118/1.4924437},
url = {https://www.osti.gov/biblio/22545206}, journal = {Medical Physics},
issn = {0094-2405},
number = 6,
volume = 42,
place = {United States},
year = {Mon Jun 15 00:00:00 EDT 2015},
month = {Mon Jun 15 00:00:00 EDT 2015}
}