Evidence map›Paper›PMID 32350978›Full record

ArticleNMR in biomedicine2021

Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations.

Andrew A Maudsley, Ovidiu C Andronesi, Peter B Barker, Alberto Bizzi, Wolfgang Bogner, Anke Henning, Sarah J Nelson, Stefan Posse, Dikoma C Shungu, Brian J Soher

Abstract readConsensus Statement
In one paragraph

Article in NMR in biomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
–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

80 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. A Digital Phantom for MR Spectroscopy Data Simulation.Magnetic resonance in medicine · 2026
    Article
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  10. Article
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  13. Article
  14. Article
  15. Disentangling metabolic and neurovascular timescales supporting cognitive processes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Generating Synthetic MR Spectroscopic Imaging Data with Generative Adversarial Networks to Train Machine Learning Models.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  17. Article
  18. Article
  19. Parallel detection of MRI andMagnetic resonance in medicine · 2025
    Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

10 authors.

Andrew A MaudsleyDepartment of Radiology, Miller School of Medicine, University of Miami, Miami, Florida, USA.ORCID 0000-0001-7653-3063
Ovidiu C AndronesiDepartment of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, Massachusetts.
Peter B BarkerThe Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, and the Kennedy Krieger Institute, F.M. Kirby Center for Functional Brain Imaging, Baltimore, Maryland.
Alberto BizziFondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Wolfgang BognerHigh Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria.ORCID 0000-0002-0130-3463
Anke HenningMax Planck Institute for Biological Cybernetics, Tübingen, Germany.
Sarah J NelsonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Stefan PosseDepartment of Neurology, University of New Mexico, Albuquerque, New Mexico.ORCID 0000-0002-4816-080X
Dikoma C ShunguDepartment of Neuroradiology, Weill Cornell Medical College, New York, New York.ORCID 0000-0001-9452-2245
Brian J SoherDepartment of Radiology, Duke University Medical Center, Durham, North Carolina.

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Susan M Chang · 2002 to 2026
$57.4M
Project 4: Multi-modality Metabolic Imaging for Monitoring Molecular Sub-types of GliomaP01CA118816 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Susan M Chang, Janine Marie Lupo · 2007 to 2026
$44.7M
Targeting the Vasular SystemP50CA165962 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WENDY Beth LONDON · 2013 to 2026
$33.5M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Pilot Project Program (PPP)P30GM122734 · NIGMS · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2018 to 2022
$7.0M
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
MR Metabolic Markers for Evaluation of Patients with Recurrent GliomaR01CA127612 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, YAN · 2008 to 2017
$3.8M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
Multiparametric Volumetric MR Characterization of Intracranial LesionsR01CA172210 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MAUDSLEY, ANDREW A. · 2014 to 2018
$2.7M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Development and Maintenance of Software for MR Spectroscopic ImagingR01EB016064 · NIBIB · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MAUDSLEY, ANDREW A. · 2013 to 2021
$2.0M
Quantitative Staging and Therapeutic Response in IDH-1 Mutated GlioblastomasR01CA200808 · NCI · DUKE UNIVERSITY · PI SOHER, BRIAN J · 2017 to 2018
$697k
Austrian Science Fund FWF KLI 718Austrian Science Fund FWF P 30701NCI NIH HHS P01 CA118816NCI NIH HHS P50 CA097257NCI NIH HHS P50 CA165962NCI NIH HHS R01 CA127612NCI NIH HHS R01 CA172210NCI NIH HHS R01 CA200808NCI NIH HHS R01 CA211080NCI NIH HHS R21 CA241714NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB016064NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P30 GM122734NIMH NIH HHS R01 MH118695
6 · The paper itself

Abstract

Magnetic resonance spectroscopic imaging (MRSI) offers considerable promise for monitoring metabolic alterations associated with disease or injury; however, to date, these methods have not had a significant impact on clinical care, and their use remains largely confined to the research community and a limited number of clinical sites. The MRSI methods currently implemented on clinical MRI instruments have remained essentially unchanged for two decades, with only incremental improvements in sequence implementation. During this time, a number of technological developments have taken place that have already greatly benefited the quality of MRSI measurements within the research community and which promise to bring advanced MRSI studies to the point where the technique becomes a true imaging modality, while making the traditional review of individual spectra a secondary requirement. Furthermore, the increasing use of biomedical MR spectroscopy studies has indicated clinical areas where advanced MRSI methods can provide valuable information for clinical care. In light of this rapidly changing technological environment and growing understanding of the value of MRSI studies for biomedical studies, this article presents a consensus from a group of experts in the field that reviews the state-of-the-art for clinical proton MRSI studies of the human brain, recommends minimal standards for further development of vendor-provided MRSI implementations, and identifies areas which need further technical development.

Indexed as

ConsensusMagnetic Resonance SpectroscopyNeuroimagingBrainHumansMetabolomebrainmagnetic resonance spectroscopic imagingreview

Identifiers

PMID32350978
PMCPMC7606742

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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.