ArticleEJNMMI physics2022
Quantitative SPECT/CT imaging of lead-212: a phantom study.
Article in EJNMMI physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
What it found
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Who cites it
23 citing papers in PubMed.
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- Recent advances and current landscape of software tools for image analysis and dosimetry in nuclear medicine.EJNMMI physics · 2026Review
- Quantitative Comparison of SPECT and PET Performance for Clinical Theranostic Applications.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Assessing the feasibility of quantitative SPECT imaging for lowEJNMMI physics · 2026Article
- Lead radionuclides for theranostic applications in nuclear medicine: from atom to bedside.Theranostics · 2026Review
- Therapeutic evaluation of [European journal of nuclear medicine and molecular imaging · 2025Article
- Recommendations on the Clinical Application and Future Potential of α-Particle Therapy: A Comprehensive Review of the Results from the SECURE Project.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Review
- DifferentToxics · 2025Article
- Gamma camera imaging characteristics ofEJNMMI physics · 2025Article
- First-in-Human Phase 0 Study of AB001, a Prostate-Specific Membrane Antigen-TargetedJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Theoretical Study of Metal-Ligand Interactions in Lead Complexes with Radiopharmaceutical Interest.Molecules (Basel, Switzerland) · 2024Article
- Effectiveness of [European journal of nuclear medicine and molecular imaging · 2024Article
- Can current preclinical strategies for radiopharmaceutical development meet the needs of targeted alpha therapy?European journal of nuclear medicine and molecular imaging · 2024Review
- Quantitative SPECT/CT imaging of actinium-225 for targeted alpha therapy of glioblastomas.EJNMMI physics · 2024Article
- EANM guidance document: dosimetry for first-in-human studies and early phase clinical trials.European journal of nuclear medicine and molecular imaging · 2024Article
- First-in-HumanJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Radiometals in Imaging and Therapy: Highlighting Two Decades of Research.Pharmaceuticals (Basel, Switzerland) · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
backgroundLead-212 (
resultsBoth acquisition parameters (combining two different energy windows and two different collimators) and iterative reconstruction parameters (varying the iterations x subsets between 10 × 1, 15 × 1, 30 × 1, 30 × 2, 30 × 3, 30 × 4, and 30 × 30) were investigated to evaluate visual quality and quantitative uncertainties based on phantom images. Calibration factors were determined using a homogeneous phantom and were stable when the total activity imaged exceeded 1 MBq for all the imaging protocols studied, but they increased sharply as the activity decayed below 1 MBq. Both a 20% window centred on 239 keV and a 40% window on 79 keV, with dual scatter windows of 5% and 20%, respectively, could be used. Visual quality at the lowest activity concentrations was improved with the High Energy collimator and the 79 keV energy window. Fractional uncertainty in the activity quantitation, including uncertainties from calibration factors and small volume effects, in spheres of 2.6 ml in the NEMA phantom was 16-21% for all protocols with the 30 × 4 filtered reconstruction except the High Energy collimator with the 239 keV energy window. Quantitative analysis was possible both with and without filters, but the visual quality of the images improved with a filter.
conclusionsOnly minor differences were observed between the imaging protocols which were all determined suitable for quantitative imaging of
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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.