OC-0283 LET dependence of proton RBE in early normal tissue damage in vivo

2021 ◽  
Vol 161 ◽  
pp. S192-S193
Author(s):  
C. Overgaard ◽  
M.K. Sitarz ◽  
N. Bassler ◽  
H. Spejlborg ◽  
J.G. Johansen ◽  
...  
Keyword(s):  
Tissue Damage ◽  
Normal Tissue ◽  
Normal Tissue Damage

scholarly journals RBE for Carbon ions In Vivo for Tumor Control and Normal Tissue Damage

2016 ◽  
Vol 118 ◽  
pp. S3
Author(s):  
B.S. Sørensen ◽  
M.R. Horsman ◽  
J. Alsner ◽  
J. Overgaard ◽  
M. Durante ◽  
...  
Keyword(s):  
Tissue Damage ◽  
Normal Tissue ◽  
Tumor Control ◽  
Carbon Ions ◽  
Normal Tissue Damage

Lovastatin attenuates ionizing radiation-induced normal tissue damage in vivo

2009 ◽  
Vol 92 (3) ◽  
pp. 492-499 ◽  
Author(s):  
Christian Ostrau ◽  
Johannes Hülsenbeck ◽  
Melanie Herzog ◽  
Arno Schad ◽  
Michael Torzewski ◽  
...  
Keyword(s):  
Ionizing Radiation ◽  
Tissue Damage ◽  
Normal Tissue ◽  
Normal Tissue Damage ◽  
Radiation Induced

The role of amifostine on late normal tissue damage induced by pelvic radiotherapy with concomitant gemcitabine: an in vivo study

2008 ◽  
Vol 26 (4) ◽  
pp. 402-408 ◽  
Author(s):  
Fazilet Öner Dinçbaş ◽  
Didem Çolpan Öksüz ◽  
Banu Atalar ◽  
Tuncay Altug ◽  
Şennur İlvan ◽  
...  
Keyword(s):  
Tissue Damage ◽  
Normal Tissue ◽  
In Vivo Study ◽  
Pelvic Radiotherapy ◽  
Normal Tissue Damage

P-186 A mathematical model of the decrease in FEV1 due to late normal tissue damage following radiotherapy (RT) in locally advanced NSCLC

Lung Cancer ◽  
2003 ◽  
Vol 41 ◽  
pp. S137
Author(s):  
Morten Nielsen ◽  
Olfred Hansen ◽  
Carsten Brink ◽  
Knud Aage Werenberg ◽  
Peter Sorensen
Keyword(s):  
Mathematical Model ◽  
Tissue Damage ◽  
Normal Tissue ◽  
Advanced Nsclc ◽  
Locally Advanced ◽  
Normal Tissue Damage ◽  
Locally Advanced Nsclc

scholarly journals Optimization of Dose Fractionation for Radiotherapy of a Solid Tumor with Account of Oxygen Effect and Proliferative Heterogeneity

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1204
Author(s):  
Maxim Kuznetsov ◽  
Andrey Kolobov
Keyword(s):  
Tumor Cells ◽  
Solid Tumor ◽  
Tissue Damage ◽  
Normal Tissue ◽  
Dose Fractionation ◽  
Oxygen Effect ◽  
Model Parameters ◽  
Time And Space ◽  
Fractionated Radiotherapy ◽  
Normal Tissue Damage

A spatially-distributed continuous mathematical model of solid tumor growth and treatment by fractionated radiotherapy is presented. The model explicitly accounts for three time and space-dependent factors that influence the efficiency of radiotherapy fractionation schemes—tumor cell repopulation, reoxygenation and redistribution of proliferative states. A special algorithm is developed, aimed at finding the fractionation schemes that provide increased tumor cure probability under the constraints of maximum normal tissue damage and maximum fractional dose. The optimization procedure is performed for varied radiosensitivity of tumor cells under the values of model parameters, corresponding to different degrees of tumor malignancy. The resulting optimized schemes consist of two stages. The first stages are aimed to increase the radiosensitivity of the tumor cells, remaining after their end, sparing the caused normal tissue damage. This allows to increase the doses during the second stages and thus take advantage of the obtained increased radiosensitivity. Such method leads to significant expansions in the curative ranges of the values of tumor radiosensitivity parameters. Overall, the results of this study represent the theoretical proof of concept that non-uniform radiotherapy fractionation schemes may be considerably more effective that uniform ones, due to the time and space-dependent effects.

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