PET/CT

We aim to develop novel imaging biomarkers in the field of Positron Emission Tomography/Computed Tomography (PET/CT) and to generate empirical evidence for the purpose of analytical and clinical validation of the imaging biomarkers as indicators of prognosis and treatment efficacy in metastatic prostate cancer (PCa). Such validated imaging biomarkers would not only transform future clinical care but would also accelerate the development of therapies for PCa. The work will take the form of multidisciplinary collaboration between researchers from the fields of nuclear medicine, urology and mathematics, and the clinical validation will be performed as retrospective and prospective multicentric studies. The specific objectives of this project are:

  • To develop new imaging biomarkers for PET/CT images from metastatic PCa patients
  • To analytically validate the PET/CT imaging biomarkers
  • To clinically validate the PETC/CT imaging biomarkers in a predefined clinical context

Publications

  • Lindgren Belal S, Sadik M, Kaboteh R, Enqvist O, Ulén J, Poulsen MH, Simonsen J, Høilund-Carlsen PF, Edenbrandt L, Trägårdh E. Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases. Eur J Radiol 2019;113:89-95.
  • Sadik M, Lind E, Polymeri E, Enqvist O, Ulen J, Trägårdh E. Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG‐PET/CT in Hodgkin and non‐Hodgkin lymphomas. Clin Physiol Funct Imaging. doi: 10.1111/cpf.12546 2018.
  • Borrelli P, Mortensen MA, Enqvist O, Ulén J, Poulsen MH, Trägårdh E, Hoilund-Carlsen PF, Edenbrandt L. Deep learning algorithms for automated assessment of total and cancerous prostate gland volume based on PET/CT. Poster presentation at SNMMI's 2018 Annual Meeting June 23-26, Philadelphia, PA, USA.
  • Lindgren Belal S, Sadik M, Kaboteh R, Hasani N, Enqvist O, Svärm L, Kahl F, Simonsen J, Poulsen MH, Ohlsson M, Høilund-Carlsen PF, Edenbrandt L, Trägårdh E. 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer. EJNMMI Res 2017;7:15
  • Sadik M, Polymeri E, Kaboteh R, Enqvist O, Feine F, Kahl F, Tragardh E, Poulsen MH, Simonsen JA, Hoilund-Carlsen, Johnsson Å, Edenbrandt L. Automated 3D segmentation of the
 prostate gland in CT images ‐ a first step towards objective measurements of prostate uptake in PET and SPECT images. Poster presentation at SNMMI's 2017 Annual Meeting June 11-14, Denver, USA
  • Sadik M, Polymeri E, Kaboteh R, Enqvist O, Feine F, Kahl F, Ohlsson M, Tragardh E, Simonsen JA, Poulsen MH, Hoilund-Carlsen, Edenbrandt L. 3D prostate gland uptake of 18F‐choline ‐ association with overall survival in patients with hormone‐naïve prostate cancer. Oral presentation at SNMMI's 2017 Annual Meeting June 11-14, Denver, USA
  • Lindgren Belal, Sadik M, Kaboteh R, Hansani N, Enqvist O, Svärm L, Kahl F, Simonsen J, Poulsen MH, Ohlsson M, Høilund-Carlsen PF, Edenbrandt L, Tragardh. Association of PET index quantifying skeletal uptake in NaF PET/CT images with overall survival in prostate cancer patients. Poster presentation at GU-ASCO February 16-18, 2017 Orlando USA
  • Sadik M, Kaboteh R, Hasani N, Landgren M, Svärm L, Enqvist O, Kahl F, Edenbrandt L. Automated segmentation of the skeleton in PET/CT scans. Poster presentation at EANM'16 October 15-19, 2016 Barcelona, Spain
  • Polymeri E, Sadik M, Hasani N, Fejne F, Kahl F, Geronymakis C, Edenbrandt L. Automatic 3D-segmentation of the prostate gland. Poster presentation at EANM'16 October 15-19, 2016 Barcelona, Spain