ArticleEuropean journal of nuclear medicine and molecular imaging2024
Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Separation ofMolecular imaging and radionuclide therapy · 2026Article
- From sensitivity gain to clinical decisions: total-body and long-axial-field-of-view PET/CT for diagnosis and image-based management in oncology and systemic disease.Annals of nuclear medicine · 2026Review
- Optimising [Formula: see text] PET imaging for dosimetry in SIRT: insights from phantom and simulation studies on the Discovery MI scanner.EJNMMI physics · 2026Article
- Impact of scan duration and scatter correction on quantitative accuracy in Yttrium-90 PET/CT imaging using LAFOV and SAFOV systems: a phantom and clinical evaluation.EJNMMI physics · 2026Article
- Continuous bed motion versus step-and-shoot acquisition in LAFOV PET/CT: insights from multi-phantom and patient studies.EJNMMI physics · 2026Article
- Overview of Yttrium-90 radioembolization for advanced hepatocellular carcinoma: Current status and future perspectives.World journal of clinical oncology · 2025Article
- Prediction of left lobe hypertrophy with voxel-based dosimetry using integrated Y-90 PET/MRI after radioembolization of liver tumors with Y-90 microspheres.European journal of nuclear medicine and molecular imaging · 2025Article
- A digital twin of the Biograph Vision Quadra long axial field of view PET/CT: Monte Carlo simulation and image reconstruction framework.EJNMMI physics · 2025Article
- Advancing precision in Y-90 radioembolization: insights from whole-body PET/CT and personalized lung dosimetry.European journal of nuclear medicine and molecular imaging · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEvaluation of
methods17 patients with hepatocellular carcinoma with median (IQR) injected activity 2393 (1348-3298) MBq were included. Pre-treatment dosimetry plan was based on
resultsThere was no difference of statistical significance between 20- and 5- min reconstructed times for the peak SNR, COV and LBR. In addition, there was no difference of statistical significance between 20- and 1- min reconstructed times for all dosimetry metrics. Lung dosimetry showed consistently lower values than the expected. Tumor absorbed dose based on Simplicit90Y™ was similar to the expected while HERMES consistently underestimated significantly the measured tumor absorbed dose. Finally, there was no difference of statistical significance between expected and measured tumor, whole liver and lung dose for all reconstruction times.
conclusionIn this study we evaluated, in terms of image quality and dosimetry, whole-body PET clinical images of patients after having been treated with
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.