Evidence map›Paper›PMID 40380988›Full record

ArticleMagma (New York, N.Y.)2025

Multi-center and multi-vendor evaluation study across 1.5 T and 3 T scanners (part 2): T1 and T2 standardization in the ISMRM/NIST MR phantom.

Siria Pasini, Steffen Ringgaard, Tau Vendelboe, Leyre Garcia-Ruiz, Anika Strittmatter, Giulia Villa, Anish Raj, Rebeca Echeverria-Chasco, Michela Bozzetto, Paolo Brambilla and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Magma (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Reproducibility and quality assurance in MRI.Magma (New York, N.Y.) · 2025
    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

19 authors.

Siria PasiniBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Ranica, BG, Italy.
Steffen RinggaardThe MR Research Centre, Aarhus University, Aarhus, Denmark.
Tau VendelboeThe MR Research Centre, Aarhus University, Aarhus, Denmark.
Leyre Garcia-RuizDepartment of Radiology, Clínica Universidad de Navarra, Pamplona, Spain.
Anika StrittmatterComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Giulia VillaBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Ranica, BG, Italy.
Anish RajComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Rebeca Echeverria-ChascoDepartment of Radiology, Clínica Universidad de Navarra, Pamplona, Spain.
Michela BozzettoBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Ranica, BG, Italy.
Paolo BrambillaRadiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy.
Malene AastrupThe MR Research Centre, Aarhus University, Aarhus, Denmark.
Esben S S HansenThe MR Research Centre, Aarhus University, Aarhus, Denmark.
Luisa PierottiDepartment of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Matteo RenzulliDepartment of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Susan T FrancisSir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
Frank G ZöllnerComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Christoffer LaustsenThe MR Research Centre, Aarhus University, Aarhus, Denmark.
Maria A Fernandez-SearaDepartment of Radiology, Clínica Universidad de Navarra, Pamplona, Spain.
Anna CaroliBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Camozzi 3, 24020, Ranica, BG, Italy. anna.caroli@marionegri.it.ORCID http://orcid.org/0000-0002-4130-4663

Funding

Bundesministerium für Bildung und Forschung 01KU2102Gobierno de Navarra ERAPerMed-2020-326Innovationsfonden ERAPerMed-2020-326Ministero della Salute ERAPerMed-2020-326
6 · The paper itself

Abstract

objectiveTo assess multi-site and multi-vendor accuracy, and intra- and inter-scanner variability of T1 and T2 measurements using the ISMRM/NIST System MRI phantom at room temperature. MATERIALS AND

methodsT1 and T2 measurements were acquired using standardized NIST protocols on 13 scanners (1.5 T and 3 T) from 3 vendors at 7 sites and compared with reference values at room temperature. Pearson's correlation (r) and accuracy error were used for comparison with reference values, while inter-scanner agreement was assessed using the coefficient of variation (CV%). Short-term reproducibility was evaluated using Bland-Altman plots and precision error. Generalized linear mixed models and post hoc tests (α = 0.05) were adopted to compare accuracy and precision across field strengths, vendors, and scanners. T2 measurements were corrected with StimFit toolbox for stimulated echo compensation.

resultsT1 and T2 measurements had excellent correlation with reference values at both field strengths. Stimfit significantly improved T2 accuracy in the renal range for 9 of 13 scanners. Short-term reproducibility (limits of agreement < 10%) and inter-scanner agreement were good (median CV < 7%) for both T1 and T2 values. Inter-scanner CV was < 5% in the renal range for both parameters. DISCUSSION: These findings support the need of scanner evaluation processes to ensure reliable T1-T2 measurements in multi-center MRI studies.

Indexed as

Magnetic Resonance ImagingPhantoms, ImagingHumansImage Processing, Computer-AssistedLinear ModelsReference StandardsReference ValuesReproducibility of ResultsTemperatureMRIMulti-sitePhantomRelaxation timesStandardization

Identifiers

PMID40380988
PMCPMC12255571

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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.