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SU‐E‐CAMPUS‐T‐05: Quality Evaluation of An Automatic VMAT Planning Method for Head and Neck Cancer Cases

Publication ,  Conference
Yuan, L; Pang, T; ge, Y; li, T; Jiang, Y; Yin, F; wu, QJ
Published in: Medical Physics
January 1, 2013

Purpose: To evaluate the dosimetric quality of an automatic volumetric‐modulated arc therapy (VMAT) planning method for Head and Neck (HN) cancer cases. Methods: Eighteen HN cancer cases are planned automatically by 2‐arc VMAT. An OAR DVH prediction model automatically generates OAR dose sparing objectives for each patient case based on the patient's anatomical features. The model is trained by prior clinical IMRT plans. In addition, a pre‐determined planning template was used for all the cases which specify the arc angles, collimator angles, jaw setting, etc, as well as the optimization priority for each objective, based on past VMAT planning experience. The automatic VMAT planning process requires only one round of optimization for each case. The dosimetric parameters for each OAR and PTV from the VMAT plans are compared with those in clinical IMRT plans. Results: The means (standard deviation in parenthesis) of the dosimetric parameters in the automatically generated VMAT and the clinical IMRT plans are (in Gy): parotid D50%: VMAT: 25.8 (8.6), IMRT: 25.7 (12.8), oral cavity D50%: VMAT: 33.2 (8.5), IMRT: 31.6 (9.5), larynx D50%: VMAT: 27.6 (13.3), IMRT: 26.3 (14.5), spinal cord + 5mm D2%: VMAT: 34.9 (2.2), IMRT: 36.2 (4.5), Brainstem D2%: VMAT: 18.9 (5.9), IMRT: 20.7(5.9). The dosimetric parameters for the OARs in the VMAT and IMRT plans have no significant differences. The only statistically significant difference is the dose homogeneity of the boost PTV (p = 0.0006), which is 5.2 Gy in VMAT plans vs. 7.1 Gy in IMRT plans. Conclusion: The automatic VMAT planning method can generate plans with dosimetric quality comparable to clinical IMRT plans generated by an expert. This study suggests the DVH prediction models learned from IMRT planning experience can be utilized to generate dose sparing objectives for VMAT planning. Partly supported by NIH/NCI and a Varian master research grant. © 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

380

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
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ICMJE
MLA
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Yuan, L., Pang, T., ge, Y., li, T., Jiang, Y., Yin, F., & wu, Q. J. (2013). SU‐E‐CAMPUS‐T‐05: Quality Evaluation of An Automatic VMAT Planning Method for Head and Neck Cancer Cases. In Medical Physics (Vol. 40, p. 380). https://doi.org/10.1118/1.4815183
Yuan, L., T. Pang, Y. ge, T. li, Y. Jiang, F. Yin, and Q. J. wu. “SU‐E‐CAMPUS‐T‐05: Quality Evaluation of An Automatic VMAT Planning Method for Head and Neck Cancer Cases.” In Medical Physics, 40:380, 2013. https://doi.org/10.1118/1.4815183.
Yuan L, Pang T, ge Y, li T, Jiang Y, Yin F, et al. SU‐E‐CAMPUS‐T‐05: Quality Evaluation of An Automatic VMAT Planning Method for Head and Neck Cancer Cases. In: Medical Physics. 2013. p. 380.
Yuan, L., et al. “SU‐E‐CAMPUS‐T‐05: Quality Evaluation of An Automatic VMAT Planning Method for Head and Neck Cancer Cases.” Medical Physics, vol. 40, no. 6, 2013, p. 380. Scopus, doi:10.1118/1.4815183.
Yuan L, Pang T, ge Y, li T, Jiang Y, Yin F, wu QJ. SU‐E‐CAMPUS‐T‐05: Quality Evaluation of An Automatic VMAT Planning Method for Head and Neck Cancer Cases. Medical Physics. 2013. p. 380.

Published In

Medical Physics

DOI

ISSN

0094-2405

Publication Date

January 1, 2013

Volume

40

Issue

6

Start / End Page

380

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