Evidence map›Paper›PMID 20486034›Full record

ReviewSeminars in musculoskeletal radiology2010

Biochemical and physiological MR imaging of skeletal muscle at 7 tesla and above.

Gregory Chang, Ligong Wang, Arturo Cárdenas-Blanco, Mark E Schweitzer, Michael P Recht, Ravinder R Regatte

Abstract readReview
In one paragraph

Review in Seminars in musculoskeletal radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Tissue engineering. Part A · 2017
    Article
  3. Article
  4. Article
  5. Assessing skeletal muscle mass: historical overview and state of the art.Journal of cachexia, sarcopenia and muscle · 2014
    Article
  6. 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

6 authors.

Gregory ChangDepartment of Radiology, Center for Biomedical Imaging, New York University School of Medicine, New York, New York, 10016, USA. gregory.chang@nyumc.org
Ligong Wang
Arturo Cárdenas-Blanco
Mark E Schweitzer
Michael P Recht
Ravinder R Regatte

Funding

Quantitative MRI for Early Diagnosis of ArthritisR01AR053133 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI REGATTE, RAVINDER · 2007 to 2011
$1.8M
NCRR NIH HHS RR0806NIAMS NIH HHS R01 AR053133NIAMS NIH HHS R01-AR053133-01A2
6 · The paper itself

Abstract

Ultra-high field (UHF; >or=7 T) magnetic resonance imaging (MRI), with its greater signal-to-noise ratio, offers the potential for increased spatial resolution, faster scanning, and, above all, improved biochemical and physiological imaging of skeletal muscle. The increased spectral resolution and greater sensitivity to low-gamma nuclei available at UHF should allow techniques such as (1)H MR spectroscopy (MRS), (31)P MRS, and (23)Na MRI to be more easily implemented. Numerous technical challenges exist in the performance of UHF MRI, including changes in relaxation values, increased chemical shift and susceptibility artifact, radiofrequency (RF) coil design/B (1)(+) field inhomogeneity, and greater RF energy deposition. Nevertheless, the possibility of improved functional and metabolic imaging at UHF will likely drive research efforts in the near future to overcome these challenges and allow studies of human skeletal muscle physiology and pathophysiology to be possible at >or=7 T.

Indexed as

Muscle, SkeletalHumansImage EnhancementMagnetic Resonance ImagingMagnetic Resonance Spectroscopy

Identifiers

PMID20486034
PMCPMC3855870

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.