ArticleEJNMMI physics2023
Validation of
Article in EJNMMI physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Monte Carlo simulation and experimental validation of SPECT systems via energy spectrum decomposition and image profile analysis.EJNMMI physics · 2026Article
- Development of energy deposition pixel kernel convolution for planar dosimetry inAnnals of nuclear medicine · 2026Article
- Emerging need of dosimetry in radioligand therapy: a feasible method tested in a large cohort of patients affected by neuroendocrine neoplasms.EJNMMI research · 2026Article
- Accuracy of a whole-body single-photon emission computed tomography with a thallium-bromide detector: Verification via Monte Carlo simulations.Medical physics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMonte Carlo (MC) simulation in Nuclear Medicine is a powerful tool for modeling many physical phenomena which are difficult to track or measure directly. MC simulation in SPECT/CT imaging is particularly suitable for optimizing the quantification of activity in a patient, and, consequently, the absorbed dose to each organ. To do so, validating MC results with real data acquired with gamma camera is mandatory. The aim of this study was the validation of the calibration factor (CF) and the recovery coefficient (RC) obtained with SIMIND Monte Carlo code for modeling a Siemens Symbia Intevo Excel SPECT-CT gamma camera to ensure optimal
methodsPhantom experiments using
resultsComparison shows good accordance between simulated and experimental data. The measured planar spatial resolution was 8.3
conclusionsThe validation of quantification parameters shows that SIMIND can be used for simulating both gamma camera planar and SPECT images of Siemens Symbia Intevo using
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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.