Publications and Presentations

The RECOMIA platform has been a key element in the following papers and presentations.

Publications
 

  • Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival. Polymeri E, Sadik M, Kaboteh R, Borrelli P, Enqvist O, Ulén J, Ohlsson M, Trägårdh E, Poulsen MH, Simonsen JA, Hoilund-Carlsen PF, Johnsson ÅA, Edenbrandt L. Clin Physiol Funct Imaging. 2019; Dec 3. doi: 10.1111/cpf.12611[Epub ahead of print]
     

  • Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland: a method comparison study. Mortensen MA, Borrelli P, Poulsen MH, Gerke O, Enqvist O, Ulén J, Trägårdh E, Constantinescu C, Edenbrandt L, Lund L, Høilund-Carlsen PF. Clin Physiol Funct Imaging. 2019:39;399-406.
     

  • Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases. Lindgren Belal S, Sadik M, Kaboteh R, Enqvist O, Ulén J, Poulsen MH, Simonsen J, Høilund-Carlsen PF, Edenbrandt L, Trägårdh E. Eur J Radiol 2019;113:89-95.
     

  • The use of a proposed updated EARL harmonization of 18F-FDG PET-CT in patients with lymphoma yields significant differences in Deauville score compared with current EARL recommendations. Ly J, Minarik D, Edenbrandt L, Wollmer P, Trägårdh E. EJNMMI Res. 2019;9:65.
     

  • 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. Sadik M, Lind E, Polymeri E, Enqvist O, Ulen J, Trägårdh E. Clin Physiol Funct Imaging. 2019;39:78-84.
     

  • 3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer. 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. EJNMMI Res 2017;7:1
     

Presentations

  • Four abstracts have been accepted as oral presenations at the upcoming European Congress of Radiology 2020, March 11-15. More information will come.
     

  • Automatic Acquired 18F-Choline PET/CT Biomarkers Association with Prognostic Value in High-Risk Prostate Cancer Patients. Borrelli,P, et al. Oral presentation at Radiological Society of North America (RSNA) 2019 Annual Meeting, December 1-6.
     

  • Deep Learning Takes the Pain Out of Back Breaking Work - Automatic Vertebral Segmentation and Attenuation Measurement for Opportunistic Osteoporosis Screening. Schmidt,D, et al. Poster presentation at Radiological Society of North America (RSNA) 2019 Annual Meeting, December 1-6.
     

  • Artificial Intelligence - New Era of PET/CT analysis of Prostate Cancer, EANM Committee Interest Group Meeting. Oral presentation at EANM 2019 annual congress October 12-16, Barcelona, Spain.
     

  • Artificial intelligence can discriminate between focal and normal bone/bone marrow uptake in lymphoma patients staged with FDG-PET/CT- a descriptive study. M. Sadik et al Oral presentation at EANM 2019 annual congress October 12-16, Barcelona, Spain.
     

  • The use of the updated EARL harmonization of 18F-FDG PET-CT in patients with lymphoma yields significant differences in Deauville score compared with previous EARL recommendations. J. Ly et al. Oral presentation at EANM 2019 annual congress October 12-16, Barcelona, Spain.
     

  • AI-based Detection of Lung Lesions in FDG-PET/CT from Lung Cancer Patients. L. Edenbrandt et al. Oral presentation at EANM 2019 annual congress October 12-16, Barcelona, Spain.
     

  • AI-based Tools for Automated Quantification of PET/CT Studies.L. Edenbrandt et al. Poster presentation at EANM 2019 annual congress October 12-16, Barcelona, Spain. 
     

  • AI-Based PET-to-PET Alignment Enabling Individual Tumour Tracking and Multi-Tracer Analysis. E. Tragardh et al. Poster presentation at EANM 2019 annual congress October 12-16, Barcelona, Spain.
     

  • Prognostic value of automatic acquired biomarkers using artificial intelligence in 18F-Choline PET/CT in high risk prostate cancer. Borrelli P, et al. Poster presentation at SNMMI's 2019 Annual Meeting June 22-25, Anaheim, CA, USA.
     

  • Deep learning algorithms for automated assessment of total and cancerous prostate gland volume based on PET/CT. Borrelli P, et al. Poster presentation at SNMMI's 2018 Annual Meeting June 23-26, Philadelphia, PA, USA.
     

  • Automated 3D segmentation of the prostate gland in CT images ‐ a first step towards objective measurements of prostate uptake in PET and SPECT images. Sadik M, et al. Poster presentation at SNMMI's 2017 Annual Meeting June 11-14, Denver, USA
     

  • 3D prostate gland uptake of 18F‐choline ‐ association with overall survival in patients with hormone‐naïve prostate cancer. Sadik M, et al. Oral presentation at SNMMI's 2017 Annual Meeting June 11-14, Denver, USA
     

  • Association of PET index quantifying skeletal uptake in NaF PET/CT images with overall survival in prostate cancer patients. Lindgren Belal S, et al. Poster presentation at GU-ASCO February 16-18, 2017 Orlando USA
     

  • Automated segmentation of the skeleton in PET/CT scans. Sadik M, et al. Poster presentation at EANM'16 October 15-19, 2016 Barcelona, Spain
     

  • Automatic 3D-segmentation of the prostate gland. Polymeri E, et al. Poster presentation at EANM'16 October 15-19, 2016 Barcelona, Spain