<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Nowadays in radiotherapy, much effort is taken to minimize the irradiated volume and consequently minimize doses to healthy tissues. In our work, we tested the hypothesis that the mean dose distribution calculated from a few first fractions can serve as prediction of the cumulated dose distribution, representing the whole treatment. We made our tests for 25 prostate cancer patients treated with three orthogonal fields technique. We did a comparison of dose distribution calculated as a sum of dose distribution from each fraction with a dose distribution calculated with isocenter shifted for a mean setup error from a few first fractions. The cumulative dose distribution and predicted dose distributions are similar in terms of gamma (3 mm 3%) analysis, under condition that we know setup error from seven first fractions. We showed that the dose distribution calculated for the original plan with the isocenter shifted to the point, defined as the original isocenter corrected of the mean setup error estimated from the first seven fractions supports our hypothesis, i.e. can serve as a prediction for cumulative dose distribution.</p></abstract>

Nowadays in radiotherapy, much effort is taken to minimize the irradiated volume and consequently minimize doses to healthy tissues. In our work, we tested the hypothesis that the mean dose distribution calculated from a few first fractions can serve as prediction of the cumulated dose distribution, representing the whole treatment. We made our tests for 25 prostate cancer patients treated with three orthogonal fields technique. We did a comparison of dose distribution calculated as a sum of dose distribution from each fraction with a dose distribution calculated with isocenter shifted for a mean setup error from a few first fractions. The cumulative dose distribution and predicted dose distributions are similar in terms of gamma (3 mm 3%) analysis, under condition that we know setup error from seven first fractions. We showed that the dose distribution calculated for the original plan with the isocenter shifted to the point, defined as the original isocenter corrected of the mean setup error estimated from the first seven fractions supports our hypothesis, i.e. can serve as a prediction for cumulative dose distribution.

Prediction of the cumulated dose for external beam irradiation of prostate cancer patients with 3D-CRT technique

Department of Medical Physics, Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology, 15B Wawelska Str., 02-034 Warsaw, Poland and Biomedical Physics Division, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, 5 Pasteura Str., 02-093 Warsaw, Poland

Department of Medical Physics, Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology, 15B Wawelska Str., 02-034 Warsaw, Poland

Biomedical Physics Division, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, 5 Pasteura Str., 02-093 Warsaw, Poland

Nukleonika

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Nowadays in radiotherapy, much effort is taken to minimize the irradiated volume and consequently minimize doses to healthy tissues. In our work, we tested the...

Prediction of the cumulated dose for external beam irradiation of prostate cancer patients with 3D-CRT technique

Publié en ligne: 17 mars 2016

Pages: 15 - 18

Reçu: 01 août 2014

Accepté: 17 sept. 2015

DOI: https://doi.org/10.1515/nuka-2016-0005

Mots clés
3D-CRT, cumulative dose, dose prediction, setup error, individualized margins

© 2016 Marta Giżyńska et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Prediction of the cumulated dose for external beam irradiation of prostate cancer patients with 3D-CRT technique

Publié en ligne: 17 mars 2016

Pages: 15 - 18

Reçu: 01 août 2014

Accepté: 17 sept. 2015

DOI: https://doi.org/10.1515/nuka-2016-0005

Mots clés3D-CRT, cumulative dose, dose prediction, setup error, individualized margins

© 2016 Marta Giżyńska et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
3D-CRT, cumulative dose, dose prediction, setup error, individualized margins