Literature DB >> 19863227

Dose prescription and optimisation based on tumour hypoxia.

Iuliana Toma-Daşu1, Alexandru Daşu, Anders Brahme.   

Abstract

INTRODUCTION. Tumour hypoxia is an important factor that confers radioresistance to the affected cells and could thus decrease the tumour response to radiotherapy. The development of advanced imaging methods that quantify both the extent and the spatial distribution of the hypoxic regions has created the premises to devise therapies that target the hypoxic regions in the tumour. MATERIALS AND METHODS. The present study proposes an original method to prescribe objectively dose distributions that focus the radiation dose to the radioresistant tumour regions and could therefore spare adjacent normal tissues. The effectiveness of the method was tested for clinically relevant simulations of tumour hypoxia that take into consideration dynamics and heterogeneity of oxygenation. RESULTS AND DISCUSSION. The results have shown that highly heterogeneous dose distributions may lead to significant improvements of the outcome only for static oxygenations. In contrast, the proposed method that involves the segmentation of the dose distributions and the optimisation of the dose prescribed to each segment to account for local heterogeneity may lead to significantly improved local control for clinically-relevant patterns of oxygenation. The clinical applicability of the method is warranted by its relatively easy adaptation to functional imaging of tumour hypoxia obtained with markers with known uptake properties.

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Year:  2009        PMID: 19863227     DOI: 10.3109/02841860903188643

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  14 in total

1.  Feasibility of dose painting using volumetric modulated arc optimization and delivery.

Authors:  Stine S Korreman; Silke Ulrich; Steve Bowen; Michael Deveau; Søren M Bentzen; Robert Jeraj
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

2.  Relative clinical effectiveness of carbon ion radiotherapy: theoretical modelling for H&N tumours.

Authors:  Laura Antonovic; Alexandru Dasu; Yoshiya Furusawa; Iuliana Toma-Dasu
Journal:  J Radiat Res       Date:  2015-04-08       Impact factor: 2.724

Review 3.  Towards multidimensional radiotherapy: key challenges for treatment individualisation.

Authors:  Iuliana Toma-Dasu; Alexandru Dasu
Journal:  Comput Math Methods Med       Date:  2015-03-05       Impact factor: 2.238

4.  Optimization of treatment planning for hypoxic tumours and re-modulation of radiation intensity in heavy-ion radiotherapy.

Authors:  Ladan Rezaee
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-17

5.  Radiobiological description of the LET dependence of the cell survival of oxic and anoxic cells irradiated by carbon ions.

Authors:  L Antonovic; A Brahme; Y Furusawa; I Toma-Dasu
Journal:  J Radiat Res       Date:  2012-08-21       Impact factor: 2.724

Review 6.  Modelling tumour oxygenation, reoxygenation and implications on treatment outcome.

Authors:  Iuliana Toma-Dasu; Alexandru Dasu
Journal:  Comput Math Methods Med       Date:  2013-01-14       Impact factor: 2.238

Review 7.  In silico modelling of treatment-induced tumour cell kill: developments and advances.

Authors:  Loredana G Marcu; Wendy M Harriss-Phillips
Journal:  Comput Math Methods Med       Date:  2012-07-12       Impact factor: 2.238

8.  Impact of dose and sensitivity heterogeneity on TCP.

Authors:  Kristin Wiklund; Iuliana Toma-Dasu; Bengt K Lind
Journal:  Comput Math Methods Med       Date:  2014-05-12       Impact factor: 2.238

9.  Treatment fractionation for stereotactic radiotherapy of lung tumours: a modelling study of the influence of chronic and acute hypoxia on tumour control probability.

Authors:  Emely Lindblom; Laura Antonovic; Alexandru Dasu; Ingmar Lax; Peter Wersäll; Iuliana Toma-Dasu
Journal:  Radiat Oncol       Date:  2014-06-30       Impact factor: 3.481

10.  Clinical oxygen enhancement ratio of tumors in carbon ion radiotherapy: the influence of local oxygenation changes.

Authors:  Laura Antonovic; Emely Lindblom; Alexandru Dasu; Niels Bassler; Yoshiya Furusawa; Iuliana Toma-Dasu
Journal:  J Radiat Res       Date:  2014-04-11       Impact factor: 2.724

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