Robust radiotherapy planningCitation formats

  • External authors:
  • Jan Unkelbach
  • Markus Alber
  • Mark Bangert
  • Rasmus Bokrantz
  • Timothy C Y Chan
  • Joseph O Deasy
  • Albin Fredriksson
  • Bram L Gorissen
  • Wei Liu
  • Houra Mahmoudzadeh
  • Omid Nohadani
  • Jeffrey V Siebers
  • Marnix Witte
  • Huijun Xu

Standard

Robust radiotherapy planning. / Unkelbach, Jan; Alber, Markus; Bangert, Mark; Bokrantz, Rasmus; Chan, Timothy C Y; Deasy, Joseph O; Fredriksson, Albin; Gorissen, Bram L; van Herk, Marcel; Liu, Wei; Mahmoudzadeh, Houra; Nohadani, Omid; Siebers, Jeffrey V; Witte, Marnix; Xu, Huijun.

In: Physics in Medicine and Biology, Vol. 63, No. 22, 13.11.2018, p. 22TR02.

Research output: Contribution to journalArticle

Harvard

Unkelbach, J, Alber, M, Bangert, M, Bokrantz, R, Chan, TCY, Deasy, JO, Fredriksson, A, Gorissen, BL, van Herk, M, Liu, W, Mahmoudzadeh, H, Nohadani, O, Siebers, JV, Witte, M & Xu, H 2018, 'Robust radiotherapy planning' Physics in Medicine and Biology, vol. 63, no. 22, pp. 22TR02. https://doi.org/10.1088/1361-6560/aae659

APA

Unkelbach, J., Alber, M., Bangert, M., Bokrantz, R., Chan, T. C. Y., Deasy, J. O., ... Xu, H. (2018). Robust radiotherapy planning. Physics in Medicine and Biology, 63(22), 22TR02. https://doi.org/10.1088/1361-6560/aae659

Vancouver

Unkelbach J, Alber M, Bangert M, Bokrantz R, Chan TCY, Deasy JO et al. Robust radiotherapy planning. Physics in Medicine and Biology. 2018 Nov 13;63(22):22TR02. https://doi.org/10.1088/1361-6560/aae659

Author

Unkelbach, Jan ; Alber, Markus ; Bangert, Mark ; Bokrantz, Rasmus ; Chan, Timothy C Y ; Deasy, Joseph O ; Fredriksson, Albin ; Gorissen, Bram L ; van Herk, Marcel ; Liu, Wei ; Mahmoudzadeh, Houra ; Nohadani, Omid ; Siebers, Jeffrey V ; Witte, Marnix ; Xu, Huijun. / Robust radiotherapy planning. In: Physics in Medicine and Biology. 2018 ; Vol. 63, No. 22. pp. 22TR02.

Bibtex

@article{553ee4b5b1a5476a850a90632b6aa570,
title = "Robust radiotherapy planning",
abstract = "Motion and uncertainty in radiotherapy is traditionally handled via margins. The clinical target volume (CTV) is expanded to a larger planning target volume (PTV), which is irradiated to the prescribed dose. However, the PTV concept has several limitations, especially in proton therapy. Therefore, robust and probabilistic optimization methods have been developed that directly incorporate motion and uncertainty into treatment plan optimization for intensity modulated radiotherapy (IMRT) and intensity modulated proton therapy (IMPT). Thereby, the explicit definition of a PTV becomes obsolete and treatment plan optimization is directly based on the CTV. Initial work focused on random and systematic setup errors in IMRT. Later, inter-fraction prostate motion and intra-fraction lung motion became a research focus. Over the past ten years, IMPT has emerged as a new application for robust planning methods. In proton therapy, range or setup errors may lead to dose degradation and misalignment of dose contributions from different beams - a problem that cannot generally be addressed by margins. Therefore, IMPT has led to the first implementations of robust planning methods in commercial planning systems, making these methods available for clinical use. This paper first summarizes the limitations of the PTV concept. Subsequently, robust optimization methods are introduced and their applications in IMRT and IMPT planning are reviewed.",
author = "Jan Unkelbach and Markus Alber and Mark Bangert and Rasmus Bokrantz and Chan, {Timothy C Y} and Deasy, {Joseph O} and Albin Fredriksson and Gorissen, {Bram L} and {van Herk}, Marcel and Wei Liu and Houra Mahmoudzadeh and Omid Nohadani and Siebers, {Jeffrey V} and Marnix Witte and Huijun Xu",
year = "2018",
month = "11",
day = "13",
doi = "10.1088/1361-6560/aae659",
language = "English",
volume = "63",
pages = "22TR02",
journal = "Physics in Medicine and Biology",
issn = "0031-9155",
publisher = "IOP Publishing Ltd.",
number = "22",

}

RIS

TY - JOUR

T1 - Robust radiotherapy planning

AU - Unkelbach, Jan

AU - Alber, Markus

AU - Bangert, Mark

AU - Bokrantz, Rasmus

AU - Chan, Timothy C Y

AU - Deasy, Joseph O

AU - Fredriksson, Albin

AU - Gorissen, Bram L

AU - van Herk, Marcel

AU - Liu, Wei

AU - Mahmoudzadeh, Houra

AU - Nohadani, Omid

AU - Siebers, Jeffrey V

AU - Witte, Marnix

AU - Xu, Huijun

PY - 2018/11/13

Y1 - 2018/11/13

N2 - Motion and uncertainty in radiotherapy is traditionally handled via margins. The clinical target volume (CTV) is expanded to a larger planning target volume (PTV), which is irradiated to the prescribed dose. However, the PTV concept has several limitations, especially in proton therapy. Therefore, robust and probabilistic optimization methods have been developed that directly incorporate motion and uncertainty into treatment plan optimization for intensity modulated radiotherapy (IMRT) and intensity modulated proton therapy (IMPT). Thereby, the explicit definition of a PTV becomes obsolete and treatment plan optimization is directly based on the CTV. Initial work focused on random and systematic setup errors in IMRT. Later, inter-fraction prostate motion and intra-fraction lung motion became a research focus. Over the past ten years, IMPT has emerged as a new application for robust planning methods. In proton therapy, range or setup errors may lead to dose degradation and misalignment of dose contributions from different beams - a problem that cannot generally be addressed by margins. Therefore, IMPT has led to the first implementations of robust planning methods in commercial planning systems, making these methods available for clinical use. This paper first summarizes the limitations of the PTV concept. Subsequently, robust optimization methods are introduced and their applications in IMRT and IMPT planning are reviewed.

AB - Motion and uncertainty in radiotherapy is traditionally handled via margins. The clinical target volume (CTV) is expanded to a larger planning target volume (PTV), which is irradiated to the prescribed dose. However, the PTV concept has several limitations, especially in proton therapy. Therefore, robust and probabilistic optimization methods have been developed that directly incorporate motion and uncertainty into treatment plan optimization for intensity modulated radiotherapy (IMRT) and intensity modulated proton therapy (IMPT). Thereby, the explicit definition of a PTV becomes obsolete and treatment plan optimization is directly based on the CTV. Initial work focused on random and systematic setup errors in IMRT. Later, inter-fraction prostate motion and intra-fraction lung motion became a research focus. Over the past ten years, IMPT has emerged as a new application for robust planning methods. In proton therapy, range or setup errors may lead to dose degradation and misalignment of dose contributions from different beams - a problem that cannot generally be addressed by margins. Therefore, IMPT has led to the first implementations of robust planning methods in commercial planning systems, making these methods available for clinical use. This paper first summarizes the limitations of the PTV concept. Subsequently, robust optimization methods are introduced and their applications in IMRT and IMPT planning are reviewed.

U2 - 10.1088/1361-6560/aae659

DO - 10.1088/1361-6560/aae659

M3 - Article

VL - 63

SP - 22TR02

JO - Physics in Medicine and Biology

JF - Physics in Medicine and Biology

SN - 0031-9155

IS - 22

ER -