Evidence map›Paper›PMID 28090448›Full record

ReviewQuantitative imaging in medicine and surgery2016

Quantitative techniques for musculoskeletal MRI at 7 Tesla.

Neal K Bangerter, Meredith D Taylor, Grayson J Tarbox, Antony J Palmer, Daniel J Park

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Musculoskeletal MR Imaging Applications at Ultra-High (7T) Field Strength.Magnetic resonance imaging clinics of North America · 2021
    Review
  11. Article
  12. Article
  13. MicroRNA29a Treatment Improves Early Tendon Injury.Molecular therapy : the journal of the American Society of Gene Therapy · 2017
    Article
  14. 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

5 authors.

Neal K BangerterDepartment of Electrical & Computer Engineering, Brigham Young University, Provo, UT, USA;; Department of Radiology, University of Utah, Salt Lake City, UT, USA.
Meredith D TaylorDepartment of Electrical & Computer Engineering, Brigham Young University, Provo, UT, USA.
Grayson J TarboxDepartment of Electrical & Computer Engineering, Brigham Young University, Provo, UT, USA.
Antony J PalmerDepartment of Orthopaedics, University of Oxford, Oxford, UK.
Daniel J ParkDepartment of Orthopaedics, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-body 7 Tesla MRI scanners have been approved solely for research since they appeared on the market over 10 years ago, but may soon be approved for selected clinical neurological and musculoskeletal applications in both the EU and the United States. There has been considerable research work on musculoskeletal applications at 7 Tesla over the past decade, including techniques for ultra-high resolution morphological imaging, 3D T2 and T2* mapping, ultra-short TE applications, diffusion tensor imaging of cartilage, and several techniques for assessing proteoglycan content in cartilage. Most of this work has been done in the knee or other extremities, due to technical difficulties associated with scanning areas such as the hip and torso at 7 Tesla. In this manuscript, we first provide some technical context for 7 Tesla imaging, including challenges and potential advantages. We then review the major quantitative MRI techniques being applied to musculoskeletal applications on 7 Tesla whole-body systems.

Indexed as

7 Teslaextremitieskneemagnetic resonance imagingmusculoskeletalquantification

Identifiers

PMID28090448
PMCPMC5219959

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.