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

Oscar Casares-Magaz, Renata Raidou, Jarle Roervik, Anna Vilanova, Ludvig Paul 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, (5), January 2018. [paper]

Information

Abstract

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.

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BibTeX

@article{rraidou_clinical,
  title =      "Uncertainty evaluation of image-based tumour control
               probability models in radiotherapy of prostate cancer using
               a visual analytic tool",
  author =     "Oscar Casares-Magaz and Renata Raidou and Jarle Roervik and
               Anna Vilanova and Ludvig Paul Muren",
  year =       "2018",
  abstract =   "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.",
  month =      jan,
  journal =    "Physics and Imaging in Radiation Oncology",
  number =     "5",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/",
}