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Sökning: id:"swepub:oai:DiVA.org:su-148300" > Non-linear conversi...

Non-linear conversion of HX4 uptake for automatic segmentation of hypoxic volumes and dose prescription

Ureba, Ana (författare)
Karolinska Institutet,Stockholms universitet,Fysikum,Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden
Lindblom, Emely (författare)
Stockholms universitet,Fysikum,Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden
Dasu, Alexandru (författare)
The Skandion Clinic, Uppsala, Sweden
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Uhrdin, Johan (författare)
RaySearch Laboratories AB, Stockholm, Sweden
Even, Aniek J. G. (författare)
Maastricht University Medical Center, Maastricht, The Netherlands
van Elmpt, Wouter (författare)
Maastricht University Medical Center, Maastricht, The Netherlands
Lambin, Philippe (författare)
Maastricht University Medical Center, Maastricht, The Netherlands
Wersäll, Peter (författare)
Karolinska Institutet
Toma-Dasu, Iuliana (författare)
Karolinska Institutet,Stockholms universitet,Fysikum,Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden; Medical Radiation Physics, Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
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 (creator_code:org_t)
Taylor & Francis, 2018
2018
Engelska.
Ingår i: Acta Oncologica. - : Taylor & Francis. - 0284-186X .- 1651-226X. ; 57:4, s. 485-490
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • Background: Tumour hypoxia is associated with increased radioresistance and poor response to radiotherapy. Pre-treatment assessment of tumour oxygenation could therefore give the possibility to tailor the treatment by calculating the required boost dose needed to overcome the increased radioresistance in hypoxic tumours. This study concerned the derivation of a non-linear conversion function between the uptake of the hypoxia-PET tracer 18F-HX4 and oxygen partial pressure (pO2).Material and methods: Building on previous experience with FMISO including experimental data on tracer uptake and pO2, tracer-specific model parameters were derived for converting the normalised HX4-uptake at the optimal imaging time point to pO2. The conversion function was implemented in a Python-based computational platform utilising the scripting and the registration modules of the treatment planning system RayStation. Subsequently, the conversion function was applied to determine the pO2 in eight non-small-cell lung cancer (NSCLC) patients imaged with HX4-PET before the start of radiotherapy. Automatic segmentation of hypoxic target volumes (HTVs) was then performed using thresholds around 10 mmHg. The HTVs were compared to sub-volumes segmented based on a tumour-to-blood ratio (TBR) of 1.4 using the aortic arch as the reference oxygenated region. The boost dose required to achieve 95% local control was then calculated based on the calibrated levels of hypoxia, assuming inter-fraction reoxygenation due to changes in acute hypoxia but no overall improvement of the oxygenation status.Results: Using the developed conversion tool, HTVs could be obtained using pO2 a threshold of 10 mmHg which were in agreement with the TBR segmentation. The dose levels required to the HTVs to achieve local control were feasible, being around 70–80 Gy in 24 fractions.Conclusions: Non-linear conversion of tracer uptake to pO2 in NSCLC imaged with HX4-PET allows a quantitative determination of the dose-boost needed to achieve a high probability of local control.

Ämnesord

NATURVETENSKAP  -- Fysik (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

medicinsk strålningsfysik
Medical Radiation Physics

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