Evidence map›Paper›PMID 36504278›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2023

Phantom-based evaluation of yttrium-90 datasets using biograph vision quadra.

Konstantinos G Zeimpekis, Lorenzo Mercolli, Maurizio Conti, Hasan Sari, George Prenosil, Kuangyu Shi, Axel Rominger

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Article in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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  5. European journal of nuclear medicine and molecular imaging · 2024
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Konstantinos G ZeimpekisDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. konstantinos.zeimpekis@insel.ch.
Lorenzo MercolliDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0003-2769-7533
Maurizio ContiMolecular Imaging, Siemens Healthineers, Knoxville, TN, USA.ORCID 0000-0001-8215-4836
Hasan SariAdvanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.ORCID 0000-0002-1504-1767
George PrenosilDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0001-6673-5374
Kuangyu ShiDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-8714-3084
Axel RomingerDepartment of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-1954-736X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe image quality characteristics of two NEMA phantoms with yttrium-90 (

methodsTwo NEMA phantoms were used, where one had a 1:10 sphere to background activity concentration ratio and the second had cold background. Reconstruction parameters used are as follows: iterations 2 to 8, Gaussian filter 2- to 6-mm full-width-at-half-maximum, reconstruction matrices 440 × 440 and 220 × 220, high sensitivity (HS), and ultra-high sensitivity (UHS) modes. 50-, 40-, 30-, 20-, 10-, and 5-min acquisitions were reconstructed. The measurements included recovery coefficients (RC), signal-to-noise ratio (SNR), background variability, and lung error which measures the residual error in the corrections. Patient data were reconstructed with 20-, 10-, 5-, and 1-min time frames and evaluated in terms of SNR.

resultsThe RC for the hot phantom was 0.36, 0.45, 0.53, 0.63, 0.68, and 0.84 for the spheres with diameters of 10, 13, 17, 22, 28, and 37 mm, respectively, for UHS 2 iterations, a 220 × 220 matrix, and 50-min acquisition. The RC values did not differ with acquisition times down to 20 min. The SNR was the highest for 2 iterations, measured 11.7, 16.6, 17.6, 19.4, 21.9, and 27.7 while the background variability was the lowest (27.59, 27.08, 27.36, 26.44, 30.11, and 33.51%). The lung error was 18%. For the patient dataset, the SNR was 19%, 20%, 24%, and 31% higher for 2 iterations compared to 4 iterations for 20-, 10-, 5-, and 1-min time frames, respectively.

conclusionsThis study evaluates the NEMA image quality of a long AFOV PET/CT scanner with

Indexed as

Liver NeoplasmsPositron Emission Tomography Computed TomographyHumansPhantoms, ImagingPositron-Emission TomographyYttrium RadioisotopesYttrium-90Yttrium RadioisotopesImage qualityNEMAQuadraWhole-body PET/CTYttrium-90

Identifiers

PMID36504278
PMCPMC9931793

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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.