Evidence map›Paper›PMID 16385018›Full record

ReviewJournal of neuroimaging : official journal of the American Society of Neuroimaging2005

Magnetic resonance spectroscopy in the monitoring of multiple sclerosis.

Ponnada A Narayana

Open access · greenAbstract readReview
In one paragraph

Review in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

72 citing papers in PubMed, 175 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Accelerated 3D metabolite TMagnetic resonance in medicine · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Current and Future Biomarkers in Multiple Sclerosis.International journal of molecular sciences · 2022
    Review
  17. Article
  18. Potential Biomarkers Associated with Multiple Sclerosis Pathology.International journal of molecular sciences · 2021
    Review
  19. Differentiation of multiple sclerosis lesions and low-grade brain tumors on MRS data: machine learning approaches.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
  20. Article

12 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

1 author at 1 institution in 1 country.

Ponnada A NarayanaDepartment of Interventional Imaging, University of Texas Medical School at Houston, TX 77030, USA. ponnada.a.narayana@uth.tmc.edu
The University of Texas Health Science Center at Houston · US

Funding

MR Image Analysis in MS: Identification of a SurrogateR01EB002095 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI NARAYANA, PONNADA A · 2003 to 2011
$5.2M
NIBIB NIH HHS R01 EB002095
6 · The paper itself

Abstract

In addition to providing information on tissue structure, magnetic resonance (MR) technology offers the potential to investigate tissue metabolism and function. MR spectroscopy (MRS) offers a wealth of data on the biochemistry of a selected brain tissue volume, which represent potential surrogate markers for the pathology underlying multiple sclerosis (MS). In particular, the N-acetylaspartate peak in an MR spectrum is a putative marker of neuronal and axonal integrity, and the choline peak appears to reflect cell-membrane metabolism. On this basis, a diminished N-acetylaspartate peak is interpreted to represent neuronal/axonal dysfunction or loss, and an elevated choline peak represents heightened cell-membrane turnover, as seen in demyelination, remyelination, inflammation, or gliosis. Therefore, MRS may provide a unique tool to evaluate the severity of MS, establish a prognosis, follow disease evolution, understand its pathogenesis, and evaluate the efficacy of therapeutic interventions, which complements the information obtained from the various forms of assessment made by conventional MR imaging.

Indexed as

Brain ChemistryAtrophyAxonsDisability EvaluationDisease ProgressionHumansMagnetic Resonance SpectroscopyMultiple Sclerosis

Identifiers

PMID16385018
PMCPMC1351238
OpenAlexW2068357714

What OpenQuestion holds

Textmetadata
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.