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SU‐E‐T‐234: An Automated Tool for Treatment Plan Quality Evaluation and Clinical Trial Quality Assurance

Publication ,  Journal Article
Wang, J; Chen, W; Studenski, M; Cui, Y; Lee, A; Xiao, Y
Published in: Medical Physics
January 1, 2013

Purpose: Develop an automated plan‐quality evaluation program for multi‐institutional clinical trials to improve case review efficiency. This program is generally applicable to routine clinical process to raise practice quality level. Methods: In this study, we developed an automated plan‐quality evaluation program which combines MIMVista, Java/MATLAB, and extensible markup language (XML). More specifically, MIMVista is used for data visualization; Java and its powerful function library are implemented for calculating dosimetry parameters; and to improve the clarity of the index definitions, XML is applied. The accuracy and the efficiency of the program were evaluated by comparing the results of the program with the manually recorded results in two RTOG trials. Results: A slight difference of about 0.2% in volume or 0.6Gy in dose between the automated program and manual recording was observed. According to the criteria of indices, there was no significant difference between the two methods. The evaluation time was reduced from 10–20 minutes to 2 minutes by applying the automated plan‐quality evaluation program. Conclusion: Quality review efficiency was much improved by using this automated plan‐quality evaluation tool. Accuracy was also improved as human error was eliminated. This tool will be made freely available to benefit general clinical practice. © 2013, American Association of Physicists in Medicine. All rights reserved.

Duke Scholars

Published In

Medical Physics

DOI

ISSN

0094-2405

Publication Date

January 1, 2013

Volume

40

Issue

6

Start / End Page

258

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Wang, J., Chen, W., Studenski, M., Cui, Y., Lee, A., & Xiao, Y. (2013). SU‐E‐T‐234: An Automated Tool for Treatment Plan Quality Evaluation and Clinical Trial Quality Assurance. Medical Physics, 40(6), 258. https://doi.org/10.1118/1.4814669
Wang, J., W. Chen, M. Studenski, Y. Cui, A. Lee, and Y. Xiao. “SU‐E‐T‐234: An Automated Tool for Treatment Plan Quality Evaluation and Clinical Trial Quality Assurance.” Medical Physics 40, no. 6 (January 1, 2013): 258. https://doi.org/10.1118/1.4814669.
Wang J, Chen W, Studenski M, Cui Y, Lee A, Xiao Y. SU‐E‐T‐234: An Automated Tool for Treatment Plan Quality Evaluation and Clinical Trial Quality Assurance. Medical Physics. 2013 Jan 1;40(6):258.
Wang, J., et al. “SU‐E‐T‐234: An Automated Tool for Treatment Plan Quality Evaluation and Clinical Trial Quality Assurance.” Medical Physics, vol. 40, no. 6, Jan. 2013, p. 258. Scopus, doi:10.1118/1.4814669.
Wang J, Chen W, Studenski M, Cui Y, Lee A, Xiao Y. SU‐E‐T‐234: An Automated Tool for Treatment Plan Quality Evaluation and Clinical Trial Quality Assurance. Medical Physics. 2013 Jan 1;40(6):258.

Published In

Medical Physics

DOI

ISSN

0094-2405

Publication Date

January 1, 2013

Volume

40

Issue

6

Start / End Page

258

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences