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Adaptive prostate IGRT combining online re-optimization and re-positioning: a feasibility study.

Publication ,  Journal Article
Li, T; Thongphiew, D; Zhu, X; Lee, WR; Vujaskovic, Z; Yin, F-F; Wu, QJ
Published in: Phys Med Biol
March 7, 2011

In prostate radiation therapy, inter-fractional organ motion/deformation has posed significant challenges on reliable daily dose delivery. To correct for this issue, off-line re-optimization and online re-positioning have been used clinically. In this paper, we propose an adaptive images guided radiation therapy (AIGRT) scheme that combines these two correction methods in an anatomy-driven fashion. The AIGRT process first tries to find a best plan for the daily target from a plan pool, which consists of the original CT plan and all previous re-optimized plans. If successful, the selected plan is used for daily treatment with translational shifts. Otherwise, the AIGRT invokes the re-optimization process of the CT plan for the anatomy of the day, which is afterward added to the plan pool as a candidate for future fractions. The AIGRT scheme is evaluated by comparisons with daily re-optimization and online re-positioning techniques based on daily target coverage, organs at risk (OAR) sparing and implementation efficiency. Simulated treatment courses for 18 patients with re-optimization alone, re-positioning alone and AIGRT shows that AIGRT offers reliable daily target coverage that is highly comparable to daily re-optimization and significantly improves from re-positioning. AIGRT is also seen to provide improved OAR sparing compared to re-positioning. Apart from dosimetric benefits, AIGRT in addition offers an efficient scheme to integrate re-optimization to current re-positioning-based IGRT workflow.

Duke Scholars

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

March 7, 2011

Volume

56

Issue

5

Start / End Page

1243 / 1258

Location

England

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiotherapy, Conformal
  • Radiotherapy Planning, Computer-Assisted
  • Prostatic Neoplasms
  • Patient Positioning
  • Organs at Risk
  • Nuclear Medicine & Medical Imaging
  • Male
  • Humans
  • Feasibility Studies
 

Citation

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Li, T., Thongphiew, D., Zhu, X., Lee, W. R., Vujaskovic, Z., Yin, F.-F., & Wu, Q. J. (2011). Adaptive prostate IGRT combining online re-optimization and re-positioning: a feasibility study. Phys Med Biol, 56(5), 1243–1258. https://doi.org/10.1088/0031-9155/56/5/002
Li, Taoran, Danthai Thongphiew, Xiaofeng Zhu, W Robert Lee, Zeljko Vujaskovic, Fang-Fang Yin, and Q Jackie Wu. “Adaptive prostate IGRT combining online re-optimization and re-positioning: a feasibility study.Phys Med Biol 56, no. 5 (March 7, 2011): 1243–58. https://doi.org/10.1088/0031-9155/56/5/002.
Li T, Thongphiew D, Zhu X, Lee WR, Vujaskovic Z, Yin F-F, et al. Adaptive prostate IGRT combining online re-optimization and re-positioning: a feasibility study. Phys Med Biol. 2011 Mar 7;56(5):1243–58.
Li, Taoran, et al. “Adaptive prostate IGRT combining online re-optimization and re-positioning: a feasibility study.Phys Med Biol, vol. 56, no. 5, Mar. 2011, pp. 1243–58. Pubmed, doi:10.1088/0031-9155/56/5/002.
Li T, Thongphiew D, Zhu X, Lee WR, Vujaskovic Z, Yin F-F, Wu QJ. Adaptive prostate IGRT combining online re-optimization and re-positioning: a feasibility study. Phys Med Biol. 2011 Mar 7;56(5):1243–1258.
Journal cover image

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

March 7, 2011

Volume

56

Issue

5

Start / End Page

1243 / 1258

Location

England

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiotherapy, Conformal
  • Radiotherapy Planning, Computer-Assisted
  • Prostatic Neoplasms
  • Patient Positioning
  • Organs at Risk
  • Nuclear Medicine & Medical Imaging
  • Male
  • Humans
  • Feasibility Studies