Implementation of a software for REmote COMparison of PARticlE and photon treatment plans: ReCompare

Particle Therapy Co-Operative Group PTCOG, http://ptcog.web.psi.ch/. Allen, 2012, An evidence based review of proton beam therapy: The report of ASTRO's emerging technology committee, Radiother Oncol, 103, 8, 10.1016/j.radonc.2012.02.001 Gahbauer R, Santiago A, Grégoire V, Begg A, van der Kogel A, Baumann M, Enghardt W, Bassler N, Singers B. D.JRA 3.2 - report of different methods available for measurement of radiobiological relevant parameters in patients. 2011. Marks, 2010, Use of normal tissue complication probability models in the clinic, Int J Radiat Oncol, 76, S10, 10.1016/j.ijrobp.2009.07.1754 ALLEGRO Group, 2012, ALLEGRO, Radiother Oncol, 105, 6 Langendijk, 2013, Selection of patients for radiotherapy with protons aiming at reduction of side effects: The model-based approach, Radiother Oncol, 107, 267, 10.1016/j.radonc.2013.05.007 Grau, 2013, The model-based approach to clinical studies in particle radiotherapy - A new concept in evidence based radiation oncology?, Radiother Oncol, 107, 265, 10.1016/j.radonc.2013.06.031 Lühr, 2014, Concept for individualized patient allocation: Recompare-remote comparison of particle and photon treatment plans, Radiat Oncol, 9, 59, 10.1186/1748-717X-9-59 Overview - python v2.7.6 documentation. http://docs.python.org/2/index.html. MySQL. http://www.mysql.com/. Frontpage – py2exe.org. http://docs.python.org/2/index.html. cx_freeze. http://cx-freeze.sourceforge.net/. Pyqt4. http://www.riverbankcomputing.co.uk/software/pyqt/download. pydicom. http://code.google.com/p/pydicom/. httplib. https//docs.python.org/2/library/httplib.html. Mysql-python. http://mysql-python.sourceforge.net/. Rescorla E. HTTP over TLS. Tech. rep., The Internet Engineering Task Force (IETF); 2000. National Electrical Manufacturers Association. Digital Imaging and Communications in Medicine (DICOM). Part 1: Introduction and Overview. 1300 N. 17th Street Rosslyn, Virginia 22209 USA: National Electrical Manufacturers Association; 2011. Santanam, 2012, Standardizing naming conventions in radiation oncology, Int J Radiat Oncol, 83, 1344, 10.1016/j.ijrobp.2011.09.054 Warkentin, 2004, A TCP-NTCP estimation module using DVHs and known radiobiological models and parameter sets, J Appl Clin Med Phys, 5, 50, 10.1120/jacmp.26.149 El Naqa, 2006, Multivariable modeling of radiotherapy outcomes, including dose-volume and clinical factors, Int J Radiat Oncol, 64, 1257, 10.1016/j.ijrobp.2005.11.022 Jakobi A, Bandurska-Luque A, Stützer K, Haase R, Löck S, Kovacevic M, Perez D, Lühr A, Wack LJ, Mönnich D, Thorwarth D, Krause M, Baumann M, Perrin R, Richter C. In preparation 2014. Roelofs, 2010, Design of and technical challenges involved in a framework for multicentric radiotherapy treatment planning studies, Radiother Oncol, 97, 567, 10.1016/j.radonc.2010.08.009 Roelofs, 2012, ROCOCO Consortium. Results of a multicentric in silico clinical trial (ROCOCO): comparing radiotherapy with photons and protons for non-small cell lung cancer, J Thorac Oncol, 7, 165, 10.1097/JTO.0b013e31823529fc Hünemohr, 2013, Ion range estimation by using dual energy computed tomography, Z Med Phys, 23, 300, 10.1016/j.zemedi.2013.03.001 Jäkel, 2001, Relation between carbon ion ranges and x-ray CT numbers, Med Phys, 4, 701, 10.1118/1.1357455 Sharpe, 2014, Within the next ten years treatment planning will become fully automated without the need for human intervention, Med Phys, 41, 120601, 10.1118/1.4894496 Lambin, 2013, Predicting outcomes in radiation oncology-multifactorial decision support systems, Nat Rev Clin Oncol, 10, 27, 10.1038/nrclinonc.2012.196