Evidence map›Paper›PMID 34958166›Full record

ArticleJournal of magnetic resonance imaging : JMRI2022

In Vivo Absolute Metabolite Quantification Using a Multiplexed ERETIC-RX Array Coil for Whole-Brain MR Spectroscopic Imaging.

Bijaya Thapa, Azma Mareyam, Jason Stockmann, Bernhard Strasser, Boris Keil, Philipp Hoecht, Stefan A Carp, Xianqi Li, Zhe Wang, Yulin V Chang and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2022. 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
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

16 authors at 7 institutions in 3 countries.

Bijaya ThapaA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0003-0791-2953
Azma MareyamA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Jason StockmannA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Bernhard StrasserA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-9542-3855
Boris KeilInstitute of Medical Physics and Radiation Protection, TH-Mittelhessen University of Applied Sciences (THM), Giessen, Germany.
Philipp HoechtSiemens Healthcare GmbH, Erlangen, Germany.
Stefan A CarpA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Xianqi LiA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Zhe WangSiemens Medical Solutions USA, Boston, Massachusetts, USA.
Yulin V ChangSiemens Medical Solutions USA, Boston, Massachusetts, USA.
Jorg DietrichHarvard Medical School, Boston, Massachusetts, USA.
Erik UhlmannHarvard Medical School, Boston, Massachusetts, USA.
Daniel P CahillHarvard Medical School, Boston, Massachusetts, USA.
Tracy BatchelorHarvard Medical School, Boston, Massachusetts, USA.
Lawrence WaldA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Ovidiu C AndronesiA. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard University · USMedical Solutions · GBBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USMassachusetts General Hospital · USSiemens Healthineers (Germany) · DETechnische Hochschule Mittelhessen · DE

Funding

Development of whole-brain in vivo 2HG imaging for precision medicine in mutant IDH gliomaR01CA211080 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Ovidiu C Andronesi · 2017 to 2026
$5.4M
National Cancer Institute of the USA National Institutes of Health 1R01CA211080NCI NIH HHS R01 CA211080
6 · The paper itself

Abstract

backgroundAbsolute quantification of metabolites in MR spectroscopic imaging (MRSI) requires a stable reference signal of known concentration. The Electronic REference To access In vivo Concentrations (ERETIC) has shown great promise but has not been applied in patients and 3D MRSI. ERETIC hardware has not been integrated with receive arrays due to technical challenges, such as coil combination and unwanted coupling between multiple ERETIC and receive channels, for which we developed mitigation strategies. PURPOSE: To develop absolute quantification for whole-brain MRSI in glioma patients. STUDY TYPE: Prospective. POPULATION: Five healthy volunteers and three patients with isocitrate dehydrogenase mutant glioma (27% female). Calibration and coil loading phantoms. FIELD STRENGTH/SEQUENCE: A 3 T; Adiabatic spin-echo spiral 3D MRSI with real-time motion correction, Fluid Attenuated Inversion Recovery (FLAIR), Gradient Recalled Echo (GRE), Multi-echo Magnetization Prepared Rapid Acquisition of Gradient Echo (MEMPRAGE). ASSESSMENT: Absolute quantification was performed for five brain metabolites (total N-acetyl-aspartate [NAA]/creatine/choline, glutamine + glutamate, myo-inositol) and the oncometabolite 2-hydroxyglutarate using a custom-built 4x-ERETIC/8x-receive array coil. Metabolite quantification was performed with both EREIC and internal water reference methods. ERETIC signal was transmitted via optical link and used to correct coil loading. Inductive and radiative coupling between ERETIC and receive channels were measured. STATISTICAL TESTS: ERETIC and internal water methods for metabolite quantification were compared using Bland-Altman (BA) analysis and the nonparametric Mann-Whitney test. P < 0.05 was considered statistically significant.

resultsERETIC could be integrated in receive arrays and inductive coupling dominated (5-886 times) radiative coupling. Phantoms show proportional scaling of the ERETIC signal with coil loading. The BA analysis demonstrated very good agreement (3.3% ± 1.6%) in healthy volunteers, while there was a large difference (36.1% ± 3.8%) in glioma tumors between metabolite concentrations by ERETIC and internal water quantification.

conclusionOur results indicate that ERETIC integrated with receive arrays and whole-brain MRSI is feasible for brain metabolites quantification. Further validation is required to probe that ERETIC provides more accurate metabolite concentration in glioma patients. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 1.

Indexed as

BrainGliomaElectronicsFemaleHumansMagnetic Resonance ImagingMaleProspective StudiesWaterWater2-hydroxyglutarateabsolute quantificationElectronic REference To access In vivo Concentrationsgliomaisocitrate dehydrogenasemagnetic resonance spectroscopic imagingmetabolismreceive array

Identifiers

PMID34958166
PMCPMC9189023
OpenAlexW4200412377

What OpenQuestion holds

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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.