Evidence map›Paper›PMID 31393032›Full record

ReviewMagnetic resonance in medicine2020

Potential clinical impact of multiparametric quantitative MR spectroscopy in neurological disorders: A review and analysis.

Ivan I Kirov, Assaf Tal

Open access · greenAbstract readReview
In one paragraph

Review in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Metabolite TMagnetic resonance in medicine · 2025
    Article
  4. Article
  5. Metabolite TNMR in biomedicine · 2024
    Article
  6. Metabolite TbioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. High-resolution, 3D multi-TEMagnetic resonance in medicine · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Multivariate use of MRI biomarkers to classify histologically confirmed necrosis in symptomatic total hip arthroplasty.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020
    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

2 authors at 2 institutions in 2 countries.

Ivan I KirovCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York.ORCID 0000-0001-5641-8578
Assaf TalDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0001-6718-6522
Advanced Imaging Research (United States) · USWeizmann Institute of Science · IL

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 1990 to 2019
$36.1M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
Quantitative Sodium MR Imaging and Proton MR Spectroscopy in Traumatic Brain InjuryR01NS097494 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIROV, IVAN IVANOV, MADELIN, GUILLAUME · 2016 to 2020
$2.4M
Multiparametric Magnetic Resonance Spectroscopy for the Early Detection of Neurodegeneration in Relapsing-Remitting Multiple SclerosisR21NS112853 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIROV, IVAN IVANOV, TAL, ASSAF · 2019 to 2019
$417k
NIA NIH HHS P30 AG008051NIBIB NIH HHS P41 EB017183NINDS NIH HHS R01 NS097494NINDS NIH HHS R21 NS112853
6 · The paper itself

Abstract

purposeUnlike conventional MR spectroscopy (MRS), which only measures metabolite concentrations, multiparametric MRS also quantifies their longitudinal (T THEORY AND

methodsA literature review was conducted to compile metabolic concentrations and relaxation times in a wide range of neuropathologies and regions of interest. Simulations were performed to construct receiver operating characteristic curves and compute the associated areas (area under the curve) to examine the sensitivity and specificity of MRS for detecting each pathology in each region. Classification accuracy was assessed using metabolite concentrations corrected using population-averages for T

resultsCompared with conventional MRS, multiparametric approaches yielded area under the curve improvements for almost all neuropathologies and regions of interest. The median area under the curve increased by 0.14 over the entire dataset, and by 0.24 over the 10 instances with the largest individual increases.

conclusionsMultiparametric MRS can substantially improve the clinical utility of MRS in diagnosing and assessing brain pathology, motivating the design and use of novel multiparametric sequences.

Indexed as

Magnetic Resonance SpectroscopySignal Processing, Computer-AssistedAlgorithmsArea Under CurveAspartic AcidBiomarkersComputer SimulationDiagnosis, Computer-AssistedHumansLinear ModelsMonte Carlo MethodNervous System DiseasesNeuronsRadio WavesReproducibility of ResultsAspartic AcidBiomarkersN-acetylaspartateMRSmultiparametric MRIqMRIquantitative MRIrelaxation timessingle-voxel spectroscopy

Identifiers

PMID31393032
PMCPMC6814297
OpenAlexW2967488684

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.