Intensity modulated radiotherapy using Monte Carlo for routine postmastectomy radiotherapy

[1] Alber, M. and F. Nusslin, 1999. An objective function for radiation treatment optimization based on local biological measures. Phys Med Biol, 44:479-49310.1088/0031-9155/44/2/014Search in Google Scholar

[2] Alber, M., M. Birkner, W. Laub and F. Nusslin, 2000. Hyperion: An integrated IMRT planning tool. Proceedings of the XIII Conference on the use of Computers in Radiationtherapy. Hrsg. W. Schlegel, T. Bortfeld. Springer, Heidelberg, pp:46-4810.1007/978-3-642-59758-9_17Search in Google Scholar

[3] Carolyn, W., T.A. Nisbet, P. Mcgale and S.C. Darby, 2007. Cardiac exposures in breast cancer radiotherapy: 1950s-1990s. Int. J Radiation Oncology Biol Phys, 69:1484-149510.1016/j.ijrobp.2007.05.034Search in Google Scholar

[4] Clenton, S.J.. P.M. Fisher, J. Conway, P. Kirkbride and M.K. Hatton, 2005. The use of lung dose-volume histograms in predicting post-radiation Pneumonitis after non-conventionally fractionated radiotherapy for Thoracic Carcinoma. Clinical Oncology, 17:599-60310.1016/j.clon.2005.07.016Search in Google Scholar

[5] Early Breast Cancer Trialists’ Collaborative Group (EBCTCG), 2005. Effects of radiotherapy and of differences in the extent of surgery for early breast cancer on local recurrence and 15-year survival: an overview of the randomized trials LANCET, 366:2087-210610.1016/S0140-6736(05)67887-7Search in Google Scholar

[6] Fippel, M., M. Alber, M. Birkner, W. Laub and F. Nϋsslin et al., 2001. Inverse treatment planning for radiation therapy based on fast Monte Carlo Dose calculation 2000 From: Advanced Monte Carlo for radiation physics, particle transport simulation and applications. Proceedings of the Monte Carlo 2000 Conference, Lisbon. Springer Berlin10.1007/978-3-642-18211-2_36Search in Google Scholar

[7] Fogliata, A.A., G.G. Nicolini, M.M. Alber, M.M. Asell and B.B. Dobler et al., 2005. IMRT for breast. Planning Study Radiother Oncol, 76:300-10. PMID 1615373010.1016/j.radonc.2005.08.004Search in Google Scholar

[8] Gagliardi, G., I. Lax, S. Soderstrom, G. Gyenes and LE. Rutqvist, 1998. Prediction of excess risk of long-term cardiac mortality after radiotherapy of stage I breast cancer. Radiother Oncol, 46:63-7110.1016/S0167-8140(97)00167-9Search in Google Scholar

[9] Graham, M.V., J.A. Purdy, B. Emami, W. Harms and W. Bosch et al., 1999. Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for Non-Small Cell Lung Cancer (NSCLC). Int. J. Radiation Oncology Biol Phys, 45:323-32910.1016/S0360-3016(99)00183-2Search in Google Scholar

[10] Johansson, S., H. Svensson and J. Denekamp, 2002. Dose response and latency for radiation-induced fibrosis, edema and neuropathy in Breast Cancer patients. Int. J. Radiation Oncology Biol Phys, 52:1207-121910.1016/S0360-3016(01)02743-2Search in Google Scholar

[11] Krueger, E.A., M.J. Schipper, T. Koelling, R.B. Marsh and J.B. Butler et al., 2004. Cardiac chamber and coronary artery doses associated with postmastectomy radiotherapy techniques to the chest wall and regional nodes. Int. J. Radiation Oncology Biol Phys, 60:1195-120310.1016/j.ijrobp.2004.04.026Search in Google Scholar

[12] Laub, W., M. Alber, M. Birkner and F. Nusslin, 2000. Monte Carlo dose computation for IMRT optimization. Phys Med Biol, 45:1741-175410.1088/0031-9155/45/7/303Search in Google Scholar

[13] Papanikolaou, N., J.J. Battista, A.L. Boyer, C. Kappas and E. Klein et al., 2004. AAPM Report 85: Tissue inhomogeneity corrections for megavoltage photon beams Report of Task Group No. 65 of the Radiation Therapy Committee of the American Association of Physicists in Medicine 200410.37206/86Search in Google Scholar

[14] Sohn, M., M. Brinker, Y. Chi, J. Wand and D. Yan et al., 2008. Modelindependent, multimodality deformable image registration by local matching of anatomical features and optimization of elastic energy. Med Phys, 35:866-87810.1118/1.2836951Search in Google Scholar