Literature DB >> 17145727

Test of the local effect model using clinical data: tumour control probability for lung tumours after treatment with carbon ion beams.

M Scholz1, N Matsufuji, T Kanai.   

Abstract

The treatment planning approach used within the heavy ion tumour therapy project at GSI Darmstadt includes a biological optimisation, which is based on a biophysical model, the Local Effect Model (LEM). Here we show that the predictions of the LEM are in good agreement with clinical data obtained at the HIMAC in Chiba for the treatment of non-small-cell lung cancer, and the steep dose response for carbon ions is reproduced correctly. This steeper increase corresponds to an increasing RBE with increasing dose, which apparently is in contradiction to the systematics observed in general for in vitro measurements. A possible explanation of this discrepancy is based on the interindividual variation of photon sensitivity.

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Year:  2006        PMID: 17145727     DOI: 10.1093/rpd/ncl426

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  4 in total

Review 1.  Physics of Particle Beam and Hypofractionated Beam Delivery in NSCLC.

Authors:  Harald Paganetti; Clemens Grassberger; Gregory C Sharp
Journal:  Semin Radiat Oncol       Date:  2021-04       Impact factor: 5.421

2.  Evaluation of particle radiotherapy for the re-irradiation of recurrent intracranial meningioma.

Authors:  Rami A El Shafie; Maja Czech; Kerstin A Kessel; Daniel Habermehl; Dorothea Weber; Stefan Rieken; Nina Bougatf; Oliver Jäkel; Jürgen Debus; Stephanie E Combs
Journal:  Radiat Oncol       Date:  2018-05-08       Impact factor: 3.481

3.  Basics of particle therapy I: physics.

Authors:  Seo Hyun Park; Jin Oh Kang
Journal:  Radiat Oncol J       Date:  2011-09-30

4.  Comparative photon and proton dosimetry for patients with mediastinal lymphoma in the era of Monte Carlo treatment planning and variable relative biological effectiveness.

Authors:  Yolanda D Tseng; Shadonna M Maes; Gregory Kicska; Patricia Sponsellor; Erik Traneus; Tony Wong; Robert D Stewart; Jatinder Saini
Journal:  Radiat Oncol       Date:  2019-12-30       Impact factor: 3.481

  4 in total

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