Evidence map›Paper›PMID 34318383›Full record

ArticleEJNMMI physics2021

Yttrium-90 quantitative phantom study using digital photon counting PET.

Joey Labour, Philippe Boissard, Thomas Baudier, Fouzi Khayi, David Kryza, Pascale Veyrat Durebex, Sandrine Parisse-Di Martino, Thomas Mognetti, David Sarrut, Jean-Noël Badel

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Phantom-based evaluation of yttrium-90 datasets using biograph vision quadra.European journal of nuclear medicine and molecular imaging · 2023
    Article
  6. Lesion Quantification Accuracy of DigitalJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 3 countries.

Joey Labour *CREATIS; CNRS UMR 5220; INSERM U 1044; Université de Lyon; INSA-Lyon; Université Lyon 1, Lyon, France. labour@creatis.insa-lyon.fr.ORCID http://orcid.org/0000-0002-5602-3178
Philippe Boissard *Centre de lutte contre le cancer Léon Bérard, Lyon, France.
Thomas BaudierCREATIS; CNRS UMR 5220; INSERM U 1044; Université de Lyon; INSA-Lyon; Université Lyon 1, Lyon, France.
Fouzi KhayiCentre de lutte contre le cancer Léon Bérard, Lyon, France.
David KryzaCentre de lutte contre le cancer Léon Bérard, Lyon, France.
Pascale Veyrat DurebexCentre de lutte contre le cancer Léon Bérard, Lyon, France.
Sandrine Parisse-Di MartinoCentre de lutte contre le cancer Léon Bérard, Lyon, France.
Thomas MognettiCentre de lutte contre le cancer Léon Bérard, Lyon, France.
David Sarrut *CREATIS; CNRS UMR 5220; INSERM U 1044; Université de Lyon; INSA-Lyon; Université Lyon 1, Lyon, France.
Jean-Noël Badel *CREATIS; CNRS UMR 5220; INSERM U 1044; Université de Lyon; INSA-Lyon; Université Lyon 1, Lyon, France.
Centre Léon Bérard · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPET imaging of

methodsQuantitative PET and dosimetry accuracy were evaluated using two uniform cylindrical phantoms specific for PET calibration validation. A third body phantom with a 9:1 hot sphere-to-background ratio was scanned at different activity concentrations of

resultsUsing a 2-mm full width at half maximum post-reconstruction Gaussian filter, the dosimetric accuracy was found to be similar to that found with no filter applied but also reduced noise. Larger filter sizes should not be used. An acquisition length of more than 10 min/bed reduces image noise but has no significant impact in the quantification of phantom or patient data for the digital photon counting PET. 3 iterations with 10 subsets were found suitable for large spheres whereas 1 iteration with 30 subsets could improve dosimetry for smaller spheres.

conclusionThe best choice of the combination of iterations and subsets depends on the size of the spheres. However, one should be careful on this choice, depending on the imaging conditions and setup. This study can be useful in this choice for future studies for more accurate

Indexed as

Digital photon countingDosimetryListmode reconstructionMonte Carlo simulationPETRadioembolisation

Identifiers

PMID34318383
PMCPMC8316557
OpenAlexW3121004845

What OpenQuestion 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 OpenQuestion graph.