Whole-Body [18F]FDG-PET/CT Imaging of Healthy Controls: Test/Retest Data for Systemic, Multi-Organ Analysis

Positron Emission Tomography (PET) with 2-deoxy-2-[<sup>18</sup>F]fluoro-D-glucose (FDG) and Computed Tomography (CT) are key tools in oncology diagnostics. However, most PET studies focus on tumour detection. We propose that a holistic assessment of the macroenvironment using FDG-PET could enhance our understanding of systemic treatment interactions and improve patient care. To achieve this, we aim to develop a normative database for FDG-PET based on healthy controls, providing a reference for identifying voxel-level metabolic aberrations in cancer patients. This approach may uncover treatment-related changes beyond cancer diagnostics. 48 healthy controls who underwent dynamic test-retest whole-body PET/CT imaging post [<sup>18</sup>F]FDG injection were included in this cohort. Static PET images (57-62 min post-injection) were reconstructed using CT-based attenuation and scatter correction, with iterative reconstruction incorporating resolution recovery and time-of-flight data. Standardized uptake values (SUVs), tissue densities (HU), and volumes for 135 organs were calculated using in-house segmentation software. The dataset, including anonymized PET/CT images and CT-derived segmentations in NIfTI format, supports the creation of a normative FDG-PET database and enables multi-organ analyses using PET/CT imaging.

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Publication Details

Journal
Scientific Data
Published
2025-10-29
DOI
https://doi.org/10.1038/s41597-025-05997-4
Citations
2
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.72

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article

Whole-Body [18F]FDG-PET/CT Imaging of Healthy Controls: Test/Retest Data for Systemic, Multi-Organ Analysis

Georgios Karanikas, Josef Yu, Barbara Katharina Geist, Lalith Kumar Shiyam Sundar et al.
2 citations
Scientific Data
Medical Imaging Techniques and Applications
2.72
article

Whole-Body [18F]FDG-PET/CT Imaging of Healthy Controls: Test/Retest Data for Systemic, Multi-Organ Analysis

Georgios Karanikas, Josef Yu, Barbara Katharina Geist, Lalith Kumar Shiyam Sundar, Sebastian Gutschmayer, Zacharias Chalampalakis, Marcus Hacker, Harald Ibeschitz, Manuel Melo Pires, Ivo Rausch, Bettina Reiterits, Daria Ferrara, Thomas Beyer, Öykü Özer, Lukas Nics, Werner Langsteger, Dina Muin
article en
2 citations

Abstract

Positron Emission Tomography (PET) with 2-deoxy-2-[<sup>18</sup>F]fluoro-D-glucose (FDG) and Computed Tomography (CT) are key tools in oncology diagnostics. However, most PET studies focus on tumour detection. We propose that a holistic assessment of the macroenvironment using FDG-PET could enhance our understanding of systemic treatment interactions and improve patient care. To achieve this, we aim to develop a normative database for FDG-PET based on healthy controls, providing a reference for identifying voxel-level metabolic aberrations in cancer patients. This approach may uncover treatment-related changes beyond cancer diagnostics. 48 healthy controls who underwent dynamic test-retest whole-body PET/CT imaging post [<sup>18</sup>F]FDG injection were included in this cohort. Static PET images (57-62 min post-injection) were reconstructed using CT-based attenuation and scatter correction, with iterative reconstruction incorporating resolution recovery and time-of-flight data. Standardized uptake values (SUVs), tissue densities (HU), and volumes for 135 organs were calculated using in-house segmentation software. The dataset, including anonymized PET/CT images and CT-derived segmentations in NIfTI format, supports the creation of a normative FDG-PET database and enables multi-organ analyses using PET/CT imaging.

Scientific DataVol. 12(1)
LMU Klinikum (DE), Medical University of Vienna (AT), Ludwig-Maximilians-Universität München (DE)
King's College London, European Commission, Agence Nationale de la Recherche, Austrian Science Fund, Universität Wien, Medizinische Universität Wien, Siemens Healthineers
Openalex Percentile: Top 8%
Medical Imaging Techniques and Applications
2.72
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