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Based on dynamic imaging an effective dose of 1.86E-02 mSv/MBq was calculated, with the urinary bladder wall and liver (brain was not in the imaging field of view) receiving the highest radiation.
An additional trial exploring the low-dose range from 0.2 to 1.6 μg m−2 selected 0.8 μg m−2 as optimal biological low dose, based on dynamic imaging changes and sTNF-Rs shedding kinetics (Gregorc et al, 2010).
Criteria for patient selection were as follows: histologically confirmed HCC or clinical diagnosis based on dynamic imaging and an underlying chronic liver disease [ 19]; a good performance status (ECOG level < 2).
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Giesel et al. [15] showed that parametric images based on dynamic contrast-enhanced (DCE) MR imaging of MM depicts not only the lesion and its extent but also the heterogeneity in intratumoural vascularisation in MM.
Based on dynamic data sets, parametric imaging can be applied using different algorithms.
Laser speckle contrast imaging (LSCI) [ 38– 40] works based on dynamic scattering of diffusively reflected laser light.
The LIS (Murray) is based on dynamic compliance.
Intervention was defined as GDFT based on dynamic parameters (GDFTdyn).
Transport speeds were determined based on the dynamic imaging.
However, this approach is based on static imaging rather than on dynamic imaging.
The highest dose estimate, based on microPET imaging (dynamic single), was received by the urinary bladder wall with 1.56E-01 ± 0.00E-00 mGy/MBq, followed by the liver with 3.14E-02 ± 1.97E-03 mGy/Mbrainrain was not imaged).
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