Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool

Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool

Functional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, t...

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Main Authors: Oscar Casares-Magaz, Renata G. Raidou, Jarle Rørvik, Anna Vilanova, Ludvig P. Muren
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:Physics and Imaging in Radiation Oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631617300581
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spelling doaj-9b70059f783647ccae838867ae52f77f2020-11-25T00:33:47ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162018-01-01558Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic toolOscar Casares-Magaz0Renata G. Raidou1Jarle Rørvik2Anna Vilanova3Ludvig P. Muren4Department of Medical Physics, Aarhus University Hospital/Aarhus University, Aarhus, Denmark; Corresponding author at: Aarhus University Hospital/Aarhus University, Department of Medical Physics, Nørrebrogade 44, Building 5, 8200 Aarhus, Denmark.Institute of Computer Graphics and Algorithms, Vienna University of Technology, AustriaDepartment of Clinical Medicine, University of Bergen, Bergen, Norway; Department of Radiology, Haukeland University Hospital, Bergen, NorwayDelft University of Technology, The NetherlandsDepartment of Medical Physics, Aarhus University Hospital/Aarhus University, Aarhus, DenmarkFunctional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, translating into variations in individual TCP predictions. In this study we applied a previously developed analytical tool to quantify dose and TCP uncertainty bands when initial cell density is estimated from MRI-based apparent diffusion coefficient maps of eleven patients. TCP uncertainty bands of 16% were observed at patient level, while dose variations bands up to 8 Gy were found at voxel level for an iso-TCP approach. Keywords: Tumour control probability, Visualization tool, Uncertainties, Apparent diffusion coefficient (ADC) maps, Prostate cancerhttp://www.sciencedirect.com/science/article/pii/S2405631617300581
collection DOAJ
language English
format Article
sources DOAJ
author Oscar Casares-Magaz
Renata G. Raidou
Jarle Rørvik
Anna Vilanova
Ludvig P. Muren
spellingShingle Oscar Casares-Magaz
Renata G. Raidou
Jarle Rørvik
Anna Vilanova
Ludvig P. Muren
Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool
Physics and Imaging in Radiation Oncology
author_facet Oscar Casares-Magaz
Renata G. Raidou
Jarle Rørvik
Anna Vilanova
Ludvig P. Muren
author_sort Oscar Casares-Magaz
title Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool
title_short Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool
title_full Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool
title_fullStr Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool
title_full_unstemmed Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool
title_sort uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool
publisher Elsevier
series Physics and Imaging in Radiation Oncology
issn 2405-6316
publishDate 2018-01-01
description Functional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, translating into variations in individual TCP predictions. In this study we applied a previously developed analytical tool to quantify dose and TCP uncertainty bands when initial cell density is estimated from MRI-based apparent diffusion coefficient maps of eleven patients. TCP uncertainty bands of 16% were observed at patient level, while dose variations bands up to 8 Gy were found at voxel level for an iso-TCP approach. Keywords: Tumour control probability, Visualization tool, Uncertainties, Apparent diffusion coefficient (ADC) maps, Prostate cancer
url http://www.sciencedirect.com/science/article/pii/S2405631617300581
work_keys_str_mv AT oscarcasaresmagaz uncertaintyevaluationofimagebasedtumourcontrolprobabilitymodelsinradiotherapyofprostatecancerusingavisualanalytictool
AT renatagraidou uncertaintyevaluationofimagebasedtumourcontrolprobabilitymodelsinradiotherapyofprostatecancerusingavisualanalytictool
AT jarlerørvik uncertaintyevaluationofimagebasedtumourcontrolprobabilitymodelsinradiotherapyofprostatecancerusingavisualanalytictool
AT annavilanova uncertaintyevaluationofimagebasedtumourcontrolprobabilitymodelsinradiotherapyofprostatecancerusingavisualanalytictool
AT ludvigpmuren uncertaintyevaluationofimagebasedtumourcontrolprobabilitymodelsinradiotherapyofprostatecancerusingavisualanalytictool
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