Evidence map›Paper›PMID 40758419›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Comparison of Magnetic Resonance Spectra Acquired With Hybrid PET/MR and Standalone MR Scanners.

Carter B Macdonald, Aditya Bhattacharya, Benjamin B Risk, Taylor M Zuleger, Sagar Mandava, Ralph Noeske, Candace C Fleischer

Abstract readComparative Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Carter B MacdonaldDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, Georgia, USA.ORCID https://orcid.org/0009-0009-1213-9898
Aditya BhattacharyaDepartment of Neuroscience, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID https://orcid.org/0009-0003-5300-6799
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-1090-0777
Taylor M ZulegerDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-4622-4005
Sagar MandavaGE HealthCare, Waukesha, Wisconsin, USA.ORCID https://orcid.org/0000-0003-3425-7579
Ralph NoeskeGE HealthCare, Waukesha, Wisconsin, USA.
Candace C FleischerDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-3265-2276

Funding

A novel framework for quantifying metabolic brain healthDP2NS127704 · NINDS · EMORY UNIVERSITY · PI FLEISCHER, CANDACE C. · 2021 to 2024
$2.3M
NINDS NIH HHS 1DP2NS127704NINDS NIH HHS DP2 NS127704United States National Institutes of Health (NIH) Director's New Innovator Award via the NIH Office of the Director
6 · The paper itself

Abstract

backgroundThe effect of the positron emission tomography (PET) modality in hybrid PET/MR scanners on MR spectral quality is unclear. PURPOSE: To evaluate spectral quality, quantification, and repeatability of brain MR spectroscopy (MRS) acquired on PET/MR and standalone MR scanners. STUDY TYPE: Prospective. SUBJECTS: 23 healthy adults (male/female = 11/12, age = 27 ± 11 years). FIELD STRENGTH/SEQUENCE: 3T, semi-localized by adiabatic selective refocusing. ASSESSMENT: Single voxel MR spectra were acquired with GE Signa PET/MR and Siemens Prisma Fit MR scanners in healthy volunteers, and additionally with a GE Premier MR scanner in vitro. Spectral quality, metabolite concentrations, and repeatability were evaluated. STATISTICAL TESTS: Linear mixed models assessed signal-to-noise ratio (SNR), full width at half maximum (FWHM), and metabolites/total creatine (tCr). Intraclass correlation coefficients (ICCs) determined repeatability; mean squared error (MSE) evaluated accuracy of quantification. Values are reported as mean ± standard deviation. Significance was determined by p ≤ 0.05.

resultsIn vivo spectra acquired using the Siemens standalone MR showed significantly higher SNR (PET/MR: 118.8 ± 19.1, MR: 132.2 ± 24.4) but significantly broader FWHM (PET/MR: 7.2 ± 1.8 Hz, MR: 8.4 ± 2.5 Hz) compared to PET/MR. All metabolite ratios were significantly higher in spectra acquired on the standalone MR. Within-session repeatability was good (ICC > 0.75), and between-session repeatability was moderate to excellent (ICC 0.5 to > 0.90) for all metabolites in vivo. In vitro spectra acquired with the PET/MR had significantly higher SNR (329.1 ± 46.1) than the Siemens standalone MR (150.8 ± 49.3) but significantly lower than the GE standalone MR (395.9 ± 33.7). The PET/MR produced narrower FWHM (2.1 ± 0.4 Hz) than the Siemens standalone MR (4.1 ± 1.7 Hz) but broader than the GE standalone MR (1.6 ± 0.1 Hz) and lower MSE for some metabolites. DATA

conclusionMR spectral quality appears uncompromised when acquired with hybrid PET/MR compared to standalone MR.

Indexed as

BrainMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyAdultFemaleHumansMagnetic Resonance SpectroscopyMaleProspective StudiesReproducibility of ResultsSignal-To-Noise RatioYoung Adultbrainhybrid MR scannersmetabolite quantificationMR spectroscopyPET/MR

Identifiers

PMID40758419
PMCPMC12604544

What OpenQuestion holds

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LicenceCC BY
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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.