Optimization of sliding windows IMRT treatment planning

References

• Abshire, D., & Lang, M. K. (2018). The evolution of radiation therapy in treating cancer. Seminars in Oncology Nursing, 34(2), 151–157. https://doi.org/10.1016/j.soncn.2018.03.006
   PubMed Web of Science ®Google Scholar
• Bortfeld, T. (2006). IMRT: A review and preview. Physics in Medicine and Biology, 51(13), R363–R379. https://doi.org/10.1088/0031-9155/51/13/R21
   PubMed Web of Science ®Google Scholar
• Brahme, A., Roos, J. E., & Lax, I. (1982). Solution of an integral equation encountered in rotation therapy. Physics in Medicine and Biology, 27(10), 1221–1229. https://doi.org/10.1088/0031-9155/27/10/002
   PubMed Web of Science ®Google Scholar
• Chan, T. C., Mahmoudzadeh, H., & Purdie, T. G. (2014). A robust-cvar optimization approach with application to breast cancer therapy. European Journal of Operational Research, 238(3), 876–885. https://doi.org/10.1016/j.ejor.2014.04.038
   Web of Science ®Google Scholar
• Chu, M., Zinchenko, Y., Henderson, S. G., & Sharpe, M. B. (2005). Robust optimization for intensity modulated radiation therapy treatment planning under uncertainty. Physics in Medicine and Biology, 50(23), 5463–5477. https://doi.org/10.1088/0031-9155/50/23/003
   PubMed Web of Science ®Google Scholar
• Convery, D., & Rosenbloom, M. (1992). The generation of intensity-modulated fields for conformal radiotherapy by dynamic collimation. Physics in Medicine and Biology, 37(6), 1359–1374. https://doi.org/10.1088/0031-9155/37/6/012
   Web of Science ®Google Scholar
• Craft, D., Papp, D., & Unkelbach, J. (2014). Plan averaging for multicriteria navigation of sliding window IMRT and VMAT. Medical Physics, 41(2), 021709. https://doi.org/10.1118/1.4859295
   Web of Science ®Google Scholar
• Deasy, J., Lee, E. K., Bortfeld, T., Langer, M., Zakarian, K., Alaly, J., Zhang, Y., Liu, H., Mohan, R., Ahuja, R., Pollack, A., Purdy, J., & Rardin, R. (2006). A collaboratory for radiation therapy treatment planning optimization research. Annals of Operations Research, 148(1), 55–63. https://doi.org/10.1007/s10479-006-0079-7
   Web of Science ®Google Scholar
• Ehrgott, M., Güler, Ç., Hamacher, H. W., & Shao, L. (2010). Mathematical optimization in intensity modulated radiation therapy. Annals of Operations Research, 175(1), 309–365. https://doi.org/10.1007/s10479-009-0659-4
   Web of Science ®Google Scholar
• Ferris, M. C., Meyer, R. R., & D’Souza, W. (2006). Radiation treatment planning: Mixed integer programming formulations and approaches. In: Handbook on modelling for discrete optimization. Springer. p. 317–340.
   Google Scholar
• Ghasroddashti, E., Smith, W. L., Quirk, S., & Kirkby, C. (2012). Clinical consequences of changing the sliding window IMRT dose rate. Journal of Applied Clinical Medical Physics, 13(4), 3810–3812. https://doi.org/10.1120/jacmp.v13i4.3810
   Web of Science ®Google Scholar
• Lee, E. K., Fox, T., & Crocker, I. (2003). Integer programming applied to intensity-modulated radiation therapy treatment planning. Annals of Operations Research, 119(1/4), 165–181. https://doi.org/10.1023/A:1022938707934
   Web of Science ®Google Scholar
• Lim, G. J., Kardar, L., Ebrahimi, S., & Cao, W. (2020). A risk-based modeling approach for radiation therapy treatment planning under tumor shrinkage uncertainty. European Journal of Operational Research, 280(1), 266–278. https://doi.org/10.1016/j.ejor.2019.06.041
   Web of Science ®Google Scholar
• Papp, D., & Unkelbach, J. (2014). Direct leaf trajectory optimization for volumetric modulated arc therapy planning with sliding window delivery. Medical Physics, 41(1), 011701. https://doi.org/10.1118/1.4835435
   Web of Science ®Google Scholar
• Preciado-Walters, F., Rardin, R., Langer, M., & Thai, V. (2004). A coupled column generation, mixed integer approach to optimal planning of intensity modulated radiation therapy for cancer. Mathematical Programming, 101(2), 319–338. https://doi.org/10.1007/s10107-004-0527-6
   Web of Science ®Google Scholar
• Romeijn, H. E., & Dempsey, J. F. (2008). Intensity modulated radiation therapy treatment plan optimization. TOP, 16(2), 215–243. https://doi.org/10.1007/s11750-008-0064-1
   Web of Science ®Google Scholar
• Romeijn, H. E., Ahuja, R. K., Dempsey, J. F., & Kumar, A. (2005). A column generation approach to radiation therapy treatment planning using aperture modulation. SIAM Journal on Optimization, 15(3), 838–862. https://doi.org/10.1137/040606612
   Web of Science ®Google Scholar
• Romeijn, H. E., Ahuja, R. K., Dempsey, J. F., & Kumar, A. (2006). A new linear programming approach to radiation therapy treatment planning problems. Operations Research, 54(2), 201–216. https://doi.org/10.1287/opre.1050.0261
   Web of Science ®Google Scholar
• Skarsgard, L. (1998). Radiobiology with heavy charged particles: A historical review. Physica Medica, 14, 1–19.
   PubMed Web of Science ®Google Scholar
• Stein, J., Bortfeld, T., Dörschel, B., & Schlegel, W. (1994). Dynamic x-ray compensation for conformal radiotherapy by means of multi-leaf collimation. Radiotherapy and Oncology, 32(2), 163–173. https://doi.org/10.1016/0167-8140(94)90103-1
   Web of Science ®Google Scholar
• Taylor, A., & Powell, M. (2004). Intensity-modulated radiotherapy-what is it? Cancer Imaging, 4(2), 68–73. https://doi.org/10.1102/1470-7330.2004.0003
   PubMedGoogle Scholar
• Teoh, M., Clark, C. H., Wood, K., Whitaker, S., & Nisbet, A. (2011). Volumetric modulated arc therapy: A review of current literature and clinical use in practice. The British Journal of Radiology, 84(1007), 967–996. https://doi.org/10.1259/bjr/22373346
   PubMed Web of Science ®Google Scholar
• World Health Organization. (2018). Cancer: Key statistics. World Health Organization.
   Google Scholar