ArticleMolecular imaging and biology2020
Semiquantitative Parameters in PSMA-Targeted PET Imaging with [
Article in Molecular imaging and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- High SUVs Have More Robust Repeatability in Patients with Metastatic Prostate Cancer: Results from a Prospective Test-Retest Cohort Imaged withMolecular imaging · 2022Trial
- Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation onTomography (Ann Arbor, Mich.) · 2026Article
- Emerging Role of Nuclear Medicine in Prostate Cancer: Current State and Future Perspectives.Cancers · 2023Review
- Lymphoma-Sink Effect in Marginal Zone Lymphoma Based on CXCR4-Targeted Molecular Imaging.Molecular imaging and biology · 2023Article
- Article
- Multi-timepoint imaging with PSMA-targeted [Annals of nuclear medicine · 2023Article
- Article
- Impact of Tumor Burden on Normal Organ Distribution in Patients Imaged with CXCR4-Targeted [Molecular imaging and biology · 2022Article
- Reliability of gradient-based segmentation for measuring metabolic parameters influenced by uptake time on 18F-PSMA-1007 PET/CT for prostate cancer.Frontiers in oncology · 2022Article
- Day-to-day variability of [EJNMMI research · 2020Article
- Semiquantitative Parameters in PSMA-Targeted PET Imaging with [Molecular imaging and biology · 2020Article
- Letter to the Editor re: "Semiquantitative Parameters in PSMA-Targeted PET Imaging with [Molecular imaging and biology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
purposeProstate-specific membrane antigen (PSMA)-targeted positron emission tomography (PET) imaging has impacted the management of patients with prostate cancer (PCa) in many parts of the world. PSMA-targeted endoradiotherapies are also being increasingly utilized and for these applications, the radiopharmaceutical distribution in normal organs is particularly important because it may limit the dose that can be delivered to tumors. In this study, we measured both interpatient and intrapatient variability of [ PROCEDURES: Baseline and 6-month follow-up PSMA-targeted [
resultsThe liver demonstrated the lowest interpatient variability (13.0 and 16.6 % at baseline and follow-up, respectively), while the spleen demonstrated the largest interpatient variability (44.6 and 51.0 % at baseline and follow-up, respectively). The lowest intrapatient variability was found in the spleen (ICC 0.86) while the highest intrapatient variability was in the kidneys (ICCs 0.40-0.50). Bland-Altman analyses showed 95 % repeatability coefficients for mean uptake > 40 % for multiple organs and were highest for the lacrimal glands, kidneys, and spleen.
conclusionsNormal organs demonstrate significant variability in uptake of the PSMA-targeted radiotracer [
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.