Research output per year
Research output per year
Unit profile
Description
Nuclear medicine is a well-established and increasingly used modality in modern healthcare that generates images for the diagnosis and follow-up of disease. The focus of our research is to optimize nuclear medicine and the research projects covers areas from technical and clinical validation of novel digital positron emission tomography (PET) to automatic quantification of images for prognostication and evaluation of treatment response in cardiology and oncology. We hope that our research will increase sensitivity and specificity for diagnosing different diseases as well as improve patient outcome. We also hope that our development and evaluation of automatic quantitative measurements from images can be used as predictive and prognostic imaging biomarkers in patients with cardiac disease and cancer. The work is a multidisciplinary collaboration between researchers from the fields of mathematics, physics, radiology, nuclear medicine, oncology, urology and cardiology.
UKÄ subject classification
- Radiology, Nuclear Medicine and Medical Imaging
- Cancer and Oncology
- Cardiac and Cardiovascular Systems
Free keywords
- Tomography
- PET
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. Our work contributes towards the following SDG(s):
Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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First clinical experience of a ring-configured cadmium zinc telluride camera: A comparative study versus conventional gamma camera systems
Cerić Andelius, I., Minarik, D., Persson, E., Mosén, H., Valind, K., Trägårdh, E. & Oddstig, J., 2024 Jan, In: Clinical Physiology and Functional Imaging. 44, 1, p. 79-88 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
PET/CT imaging 2 h after injection of [18F]PSMA-1007 can lead to higher staging of prostate cancer than imaging after 1 h
Hvittfeldt, E., Bitzén, U., Minarik, D., Oddstig, J., Olsson, B. & Trägårdh, E., 2023 Dec, In: European journal of hybrid imaging. 7, 1, 9.Research output: Contribution to journal › Article › peer-review
Open Access -
[18F]PSMA-1007 PET is comparable to [99mTc]Tc-DMSA SPECT for renal cortical imaging.
Valind, K., Minarik, D., Garpered, S., Persson, E., Jögi, J. & Trägårdh, E., 2023 Nov 24, In: European journal of hybrid imaging. 7, 1, 25.Research output: Contribution to journal › Article › peer-review
Open Access
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New methods for tomographic functional imaging of the renal cortex
Valind, K. (Research student), Minarik, D. (Researcher), Jögi, J. (Assistant supervisor) & Trägårdh, E. (Supervisor)
2021/03/01 → …
Project: Dissertation
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PET CT in pelvic malignancies
Markus, M. (Researcher), Trägårdh, E. (Supervisor) & Sartor, H. (Assistant supervisor)
2021/03/01 → …
Project: Dissertation
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Aspects of 18F-PSMA-1007 PET/CT
Hvittfeldt, E. (Researcher), Trägårdh, E. (Supervisor), Bjartell, A. (Assistant supervisor) & Oddstig, J. (Assistant supervisor)
2020/08/01 → …
Project: Dissertation
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World Cancer Day 2023
Berntsson, P. (Organiser), Jerkeman, M. (Chair), Järås, M. (Chair), Trägårdh, E. (Speaker), Hagström-Andersson, A. (Speaker), Hyrenius Wittsten, A. (Speaker) & Nilsson, M. (Speaker)
2023 Feb 4Activity: Participating in or organising an event › Organisation of conference
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Development of an Imaging Biomarker for PET/CT in Patients with Prostate Cancer
Lindgren Belal, S. (Role not specified)
2020 Jul 15 → 2020 Jul 19Activity: Talk or presentation › Presentation
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Convolutional neural networks for segmentation of 49 selected bones in CT images show high reproducibility
Lindgren Belal, S. (Role not specified)
2017 Oct 25Activity: Talk or presentation › Presentation