4SeePlan

In particle therapy, the high precision of the beam enables targeted irradiation of tumors located near critical structures, such as skull base tumors close to the brainstem or optic nerves. This approach minimizes damage to surrounding healthy tissues, reducing the risk of side effects and toxicity.

During the treatment planning process, the goal of a treatment planning system is to determine the optimal parameters for facilities to effectively treat specific patients. We offer a unique solution: 4SeePlan, a full Monte Carlo treatment planning system supported by all the necessary computing resources to meet clinical routing and planning timelines.


4SeePlan at a glance:

  • Importing and visualization of treatment planning CT (DICOM CT) together with the segmented relevant anatomical and oncological structures (DICOM RT Structure Set).

  • Treatment planning environment including image display, 3D view, dose prescription, beam definition and plan settings.

  • Inverse planning algorithm; calculation of optimized plan and dose-to-water distributions to be delivered.

  • Full Monte Carlo (MC) dose-to-tissue calculation algorithm of the previously optimized plan(s). Distributed computing approach to speed up computation times.

  • Dose statistics calculation (cumulative DVHs, plan evaluation indexes).

  • Creation and export of DICOM RTDOSE and RT-ION PLAN files.

References

  1. A treatment planning code for inverse planning and 3D optimization in hadrontherapy,
    F.Bourhaleb, F.Marchetto, A.Attili, G.Pittà, R.Cirio, M.Donetti, S.Giordanengo, N.Givehchi, S.Iliescu, M.Krengli, A.La Ros, D.Massai, A.Pecka, J.Pardo and C.Peroni,
    (Computer in Biology and Medicine, October 2008), 38(9):990-9,
    DOI: 10.1016/j.compbiomed.2008.07.005
  2. Heuristic optimization of the scanning path of particle therapy beams,
    J.Pardo, M.Donetti, F.Bourhaleb, A.Ansarinejad, A.Attili, R.Cirio, M.A.Garella, S.Giordanengo, N.Givehchi, A.La Rosa, F.Marchetto, V.Monaco, A.Pecka, C.Peroni, G.Russo and R.Sacchi,
    (Medical Physics, July 2009), 36(6):2043-51,
    DOI: 10.1118/1.3121506
  3. Monte Carlo Simulations for Beam Delivery Line Design in Radiation Therapy with Heavy Ion Beams,
    F.Bourhaleb, A.Attili and G.Russo,
    (Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science, February 2011), 143(2-4):497-502, Epub 2010 Dec 3, Source InTech,
    DOI: 10.5772/15883
  4. Analysis of the reliability of the local effect model for the use in carbon ion treatment planning systems,
    G.Russo, A.Attili, F.Bourhaleb, F.Marchetto, C.Peroni, E.Schmitt and D.Bertrand,
    (Radiation Protection Dosimetry, Volume 143, Issue 2-4, February 2011), Pages 497–502,
    DOI: 10.1093/rpd/ncq407
  5. IN SILICO DOSIMETRY, MONTE CARLO WEB APPLICATIONS FOR SIMULATIONS IN ADVANCED RADIATION THERAPY, RADIATION BIOLOGY AND RADIATION PROTECTION FIELDS,
    F.Bourhaleb, A.Attili, G.Russo and F.Mas Milian,
    (Radiotherapy and Oncology, March 2012), 102(1):S129,
    DOI: 10.1016/S0167-8140(12)70217-7
  6. 26: PlanIt: Planning Ion therapy open platform for treatment plans testing and comparing,
    F.Bourhaleb, F.Dalmasso, A.Attili, G.Russo and F.Mas Milian,
    (Radiotherapy and Oncology, Volume 110, February 2014), S13-S14,
    DOI: 10.1016/S0167-8140(15)34047-0
  7. A novel algorithm for the calculation of physical and biological irradiation quantities in scanned ion beam therapy: The beamlet superposition approach,
    G.Russo, A.Attili, G.Battistoni, D.Bertrand, F.Bourhaleb, F.Cappucci, M.Ciocca, A.Mairani, F.M.Milian, S.Molinelli, M.C.Morone, S.Muraro, T.Orts, V.Patera, P.Sala, E.Schmitt, G.Vivaldo and F.Marchetto,
    (Physics in Medicine and Biology, December 2015), 61(1):183-214, Project : Planning System Ion Therapy (TPS),
    DOI: 10.1088/0031-9155/61/1/183
  8. Web-interfaced Monte Carlo simulation for quality assurance in radiation therapy,
    F.Dalmasso, F.Bourhaleb, G.Russo, N.Franza, S.Spoto and A.Attili,
    (Physica Medica, February 2016), 32(1):18,
    DOI: 10.1016/j.ejmp.2016.01.063
  9. 'Survival': a simulation toolkit introducing a modular approach for radiobiological evaluations in ion beam therapy,
    L.Manganaro, G.Russo, F.Bourhaleb, F.Fausti, S.Giordanengo, V.Monaco, R.Sacchi, A.Vignati, R.Cirio and A.Attili,
    (Physics in Medicine & Biology, Volume 63, Number 8, April 2018),
    DOI: 10.1088/1361-6560/aab697