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Relative clinical effectiveness of carbon ion radiotherapy: theoretical modelling for H

Overview of attention for article published in Journal of Radiation Research, April 2015
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Title
Relative clinical effectiveness of carbon ion radiotherapy: theoretical modelling for H&N tumours
Published in
Journal of Radiation Research, April 2015
DOI 10.1093/jrr/rrv016
Pubmed ID
Authors

Laura Antonovic, Alexandru Dasu, Yoshiya Furusawa, Iuliana Toma-Dasu

Abstract

Comparison of the efficiency of photon and carbon ion radiotherapy (RT) administered with the same number of fractions might be of limited clinical interest, since a wide range of fractionation patterns are used clinically today. Due to advanced photon treatment techniques, hypofractionation is becoming increasingly accepted for prostate and lung tumours, whereas patients with head and neck tumours still benefit from hyperfractionated treatments. In general, the number of fractions is considerably lower in carbon ion RT. A clinically relevant comparison would be between fractionation schedules that are optimal within each treatment modality category. In this in silico study, the relative clinical effectiveness (RCE) of carbon ions was investigated for human salivary gland tumours, assuming various radiation sensitivities related to their oxygenation. The results indicate that, for hypoxic tumours in the absence of reoxygenation, the RCE (defined as the ratio of D50 for photons to carbon ions) ranges from 3.5 to 5.7, corresponding to carbon ion treatments given in 36 and 3 fractions, respectively, and 30 fractions for photons. Assuming that interfraction local oxygenation changes take place, results for RCE are lower than that for an oxic tumour if only a few fractions of carbon ions are used. If the carbon ion treatment is given in more than 12 fractions, the RCE is larger for the hypoxic than for the well-oxygenated tumour. In conclusion, this study showed that in silico modelling enables the study of a wide range of factors in the clinical considerations and could be an important step towards individualisation of RT treatments.

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Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Other 4 16%
Student > Bachelor 4 16%
Student > Master 2 8%
Lecturer 1 4%
Other 4 16%
Unknown 5 20%
Readers by discipline Count As %
Physics and Astronomy 8 32%
Medicine and Dentistry 5 20%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 6 24%