PET-CT imaging of neuroendocrine tumors - Beyond diagnostics

Project: Dissertation

Project Details


Neuroendocrine tumors (NET) are often slow growing and patients can survive for long. Generally NET overexpresses somatostatin receptors which can be targeted for both imaging and treatment. Theragnostic aspects of NET with imaging of somatostatin receptors through positron emitting tomography - computed tomography (PET-CT) and treatment targeting somatostatin receptors is an evolving landscape were more knowledge are needed. Further could automatic quantification of NET with artificial intelligence (AI) increase the impact of PET-CT for prognostication, predication and evaluation of response to therapy.

The overall aim of this thesis is to increase the knowledge about the uptake of radiolabeled somatostatin analogs with 68Ga-DOTA-TATE/TOC in NET and to develop an automatic method for quantification of NET with AI.
Effective start/end date2018/12/142024/10/10

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

UKÄ subject classification

  • Radiology, Nuclear Medicine and Medical Imaging
  • Cancer and Oncology

Free keywords

  • PET-CT
  • Imaging
  • biomarkers
  • Tumour burden
  • Neuroendocrine tumours
  • oncology