Evidence map›Paper›PMID 25523591›Full record

ReviewAJNR. American journal of neuroradiology2015

Ultra-High-Field MR Neuroimaging.

P Balchandani, T P Naidich

Abstract readReview
In one paragraph

Review in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 4 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

106 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Present and Future of Ultra-High Field MRI in Neurodegenerative Disorders.Current neurology and neuroscience reports · 2018
    Pooled it
  5. Article
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  7. Muscle fibre denervation in ageing.Clinical science (London, England : 1979) · 2026
    Review
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46 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

2 authors.

P BalchandaniFrom the Translational and Molecular Imaging Institute (P.B.) Department of Radiology (P.B., T.P.N.), Icahn School of Medicine at Mount Sinai, New York, New York. priti.balchandani@mssm.edu.
T P NaidichDepartment of Radiology (P.B., T.P.N.), Icahn School of Medicine at Mount Sinai, New York, New York.

Funding

High Resolution Magnetic Resonance Imaging and Spectroscopy of Epilepsy at 7TR00NS070821 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2013 to 2015
$734k
NINDS NIH HHS R00 NS070821
6 · The paper itself

Abstract

At ultra-high magnetic fields, such as 7T, MR imaging can noninvasively visualize the brain in unprecedented detail and through enhanced contrast mechanisms. The increased SNR and enhanced contrast available at 7T enable higher resolution anatomic and vascular imaging. Greater spectral separation improves detection and characterization of metabolites in spectroscopic imaging. Enhanced blood oxygen level-dependent contrast affords higher resolution functional MR imaging. Ultra-high-field MR imaging also facilitates imaging of nonproton nuclei such as sodium and phosphorus. These improved imaging methods may be applied to detect subtle anatomic, functional, and metabolic abnormalities associated with a wide range of neurologic disorders, including epilepsy, brain tumors, multiple sclerosis, Alzheimer disease, and psychiatric conditions. At 7T, however, physical and hardware limitations cause conventional MR imaging pulse sequences to generate artifacts, requiring specialized pulse sequences and new hardware solutions to maximize the high-field gain in signal and contrast. Practical considerations for ultra-high-field MR imaging include cost, siting, and patient experience.

Indexed as

ArtifactsHumansMagnetic Resonance ImagingNeuroimaging

Identifiers

PMID25523591
PMCPMC4472608

What OpenQuestion holds

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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.