Evidence map›Paper›PMID 31907664›Full record

ArticleEJNMMI physics2020

Phantom-based image quality assessment of clinical

Silvano Gnesin, Christine Kieffer, Konstantinos Zeimpekis, Jean-Pierre Papazyan, Renaud Guignard, John O Prior, Francis R Verdun, Thiago V M Lima

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 87 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Silvano GnesinInstitute of Radiation physics, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Christine KiefferInstitute of Radiation physics, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Konstantinos ZeimpekisDepartment of nuclear medicine, Zürich Universitätsspital, Zurich, Switzerland.
Jean-Pierre PapazyanRadiology and Medicine Nuclear Department, Genolier Clinique, Genolier, Switzerland.
Renaud GuignardDepartment of Nuclear Medicine, La Tour Medical Group, Meyrin, Switzerland.
John O PriorDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, University of Lausanne, Bugnon 46, Lausanne, Switzerland. john.prior@chuv.ch.ORCID http://orcid.org/0000-0003-1429-1374
Francis R VerdunInstitute of Radiation physics, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Thiago V M LimaInstitute of Radiation physics, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
University of Lausanne · CHClinique de Genolier · CHHôpital de la Tour · CHKantonsspital Aarau · CHUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe assessed and compared image quality obtained with clinical

methodsWe performed list-mode (LM) PET acquisitions using a NEMA/IEC NU2 phantom, with activity concentrations of 5 kBq/mL and 25 kBq/mL for the background (9.5 L) and sphere inserts, respectively. For each device, reconstructions were obtained varying the image statistics (10, 30, 60, 90, 120, 180, and 300 s from LM data) and the number of iterations (range 1 to 10) in addition to the employed local clinical protocol setup. We measured for each reconstructed dataset: the quantitative cross-calibration, the image noise on the uniform background assessed by the coefficient of variation (COV), and the recovery coefficients (RCs) evaluated in the hot spheres. Additionally, we compared the characteristic time-activity-product (TAP) that is the product of scan time per bed position × mass-activity administered (in min·MBq/kg) across datasets.

resultsGood system cross-calibration was obtained for all tested datasets with < 6% deviation from the expected value was observed. For all clinical protocol settings, image noise was compatible with clinical interpretation (COV < 15%). Digital PET showed an improved background signal-to-noise ratio as compared to conventional PMT-based PET. RCs were comparable between digital and PMT-based PET datasets. Compared to PMT-based PET, digital systems provided comparable image quality with lower TAP (from ~ 40% less and up to 70% less).

conclusionsThis study compared the achievable clinical image quality in three state-of-the-art digital PET/CT devices (from different vendors) as well as in two conventional PMT-based PET. Reported results show that a comparable image quality is achievable with a TAP reduction of ~ 40% in digital PET. This could lead to a significant reduction of the administered mass-activity and/or scan time with direct benefits in terms of dose exposure and patient comfort.

Indexed as

Digital PET/CTDose reductionImage qualityProtocol optimization

Identifiers

PMID31907664
PMCPMC6944719
OpenAlexW2999075723

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.