Doktorander/Utbildningsplatser

Doktorander/Utbildningsplatser
med placering vid Sahlgrenska akademin

Sista ansökningsdag: 2010-04-20

Sahlgrenska akademin utlyser doktorandplatser med placering vid institutionen för biomedicin, institutionen för kliniska vetenskaper, institutionen för medicin och institutionen för neurovetenskap och fysiologi.

Doktorandplatserna avser två års utbildningsbidrag och två års doktorandanställning, alternativt fyra års doktorandanställning, och beräknas leda fram till doktorsexamen.

För mer information och ansökningsblankett se:
http://www.sahlgrenska.gu.se/doktorandportalen/Doktor_Fran_start_till_mal/doktorandplatser

Dosimetric characterization of radioembolization with 90Y-microspheres

Application deadline: 2010-04-20

Description of the research project
Radioembolisation is a relatively new treatment modality for liver tumours.In this treatment, radioactive microspheres are intra-arterially injected into the liver lobes and will thereafter mainly accumulate in tumour tissue.As by 2008 we started this treatment for primary liver diseases as e.g.hepatocellular carcinoma as well as for disseminated cancers to the liver.The aim of this project is to develop different dosimetric models that will be useful for evaluation of the treatment response and for risk estimates of surgical applications during radioembolization.
The materials to analyse consist of data from treatment of (16) patients, which will increase with about 1 treatment per month during this project time.Optimization of the gamma camera measurements will be performed with different simulation tools and, based on these results, macroscopic dosimetry will be performed.Autoradiography and light microscopy will be performed on surgical samples from tumour and normal tissues.Analyses of the autoradiography and light microscopy images will result in a description of the microsphere distributions in the tissues, which will be used for micro-dosimetric simulations.The dosimetric results will be incorporated into dose-response models - useful for estimations of critical factors and predictions of the treatment results in individual patients.