Evidence map›Paper›PMID 40799763›Full record

ArticleResearch square2025

Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations: an ENHANCE.PET initiative.

Daria Ferrara, Manuel Pires, Sebastian Gutschmayer, Josef Yu, Yasser G Abdelhafez, Elisabetta Abenavoli, Ramsey D Badawi, Abhijit J Chaudhari, Moon S Chen, Simon R Cherry and 20 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Daria FerraraQIMP Team, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-8711-8081
Manuel PiresQIMP Team, Medical University of Vienna, Vienna, Austria.
Sebastian GutschmayerQIMP Team, Medical University of Vienna, Vienna, Austria.
Josef YuQIMP Team, Medical University of Vienna, Vienna, Austria. Division of Nuclear Medicine, Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria.
Yasser G AbdelhafezDepartment of Radiology, University of California Davis, Sacramento, California, USA.
Elisabetta AbenavoliDivision of Nuclear Medicine, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Ramsey D BadawiDepartment of Radiology, University of California Davis, Sacramento, California, USA.
Abhijit J ChaudhariDepartment of Radiology, University of California Davis, Sacramento, California, USA.
Moon S ChenComprehensive Cancer Center, University of California Davis, Sacramento, California, USA.
Simon R CherryDepartment of Radiology, University of California Davis, Sacramento, California, USA.
Armin FrilleDepartment of Respiratory Medicine, University Hospital Leipzig, Leipzig, Germany.
Barbara K GeistDivision of Nuclear Medicine, Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria.
Stefan GruenertDivision of Nuclear Medicine, Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria.
Marcus HackerDivision of Nuclear Medicine, Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria.
Swen HesseDepartment of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.
Teresa KerkhoffDepartment of Respiratory Medicine, University Hospital Leipzig, Leipzig, Germany.
Pia LinderDivision of Nuclear Medicine, University of Tübingen, Tübingen, Germany.
Johanna PappischDepartment of Respiratory Medicine, University Hospital Leipzig, Leipzig, Germany.
Smilla PusitzDivision of Nuclear Medicine, Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria.
Osama A RaslanDepartment of Radiology, University of California Davis, Sacramento, California, USA.
Ivo RauschQIMP Team, Medical University of Vienna, Vienna, Austria.
Siba P RaychaudhuriDepartment of Medicine and Dermatology, UC Davis School of Medicine, Sacramento, California, USA.
Osama SabriDepartment of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.
Fabian SchmidtDivision of Nuclear Medicine, University of Tübingen, Tübingen, Germany. Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University of Tübingen, Germany.
Roberto SciagràDivision of Nuclear Medicine, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Benjamin SpencerDepartment of Radiology, University of California Davis, Sacramento, California, USA.
Guobao WangDepartment of Radiology, University of California Davis, Sacramento, California, USA.
Hubert WirtzDepartment of Respiratory Medicine, University Hospital Leipzig, Leipzig, Germany.
Thomas BeyerQIMP Team, Medical University of Vienna, Vienna, Austria.
Lalith Kumar Shiyam SundarQIMP Team, Medical University of Vienna, Vienna, Austria. DIGIT-X Lab, Department of Radiology, LMU Munich, Germany.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
EXPLORER: Changing the Molecular Imaging Paradigm with Total Body PETR01CA206187 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BADAWI, RAMSEY D., CHERRY, SIMON R · 2015 to 2019
$15.5M
UC Davis Paul Calabresi K12 Clinical Oncology Research Career Development ProgramK12CA138464 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, LARA, PRIMO N. · 2011 to 2025
$11.4M
Total-Body PET/CT for assessing Rheumatoid Arthritis Disease Activity and Treatment ResponseR01AR076088 · NIAMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHAUDHARI, ABHIJIT J · 2019 to 2021
$617k
Characterization of Spinal Pathology in Axial Psoriatic ArthritisR01AR085314 · NIAMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Abhijit J Chaudhari, SIBA P RAYCHAUDHURI · 2025 to 2026
$434k
NCI NIH HHS K12 CA138464NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA206187NIAMS NIH HHS R01 AR076088NIAMS NIH HHS R01 AR085314
6 · The paper itself

Abstract

We present a large whole-body and total-body curated dataset of dual-modality 2-deoxy-2-[18F]fluoro-D-glucose (FDG)-Positron Emission Tomography/Computed Tomography (PET/CT) studies, consisting of 1,597 PET/CT images and the corresponding CT-derived segmentations of 130 target regions. This multi-center dataset includes images from individuals without overt disease and patients with different pathologies (lung cancer, lymphoma, and melanoma). Target regions were first automatically segmented from CT images using an in-house software, and subsequently verified and corrected by physicians-in-training. In total, the segmented regions encompass 130 volumes, including abdominal organs, muscles, bones, cardiac subregions, vessels, adipose tissue, and skeletal muscle around the third lumbar vertebra. PET/CT images and corresponding CT-derived segmentations are provided in anonymized NIfTI format. The dataset can be used for deep learning training, validation, or multi-modality image analysis and thus fills an important gap in available resources to advance the use of PET/CT data in clinical management.

Indexed as

[18F]FDG-PET/CT imagesanatomical segmentationsopen-sourcing

Identifiers

PMID40799763
PMCPMC12340901

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.