Evidence map›Paper›PMID 37581501›Full record

ReviewRadiology2023

MRI Advancements in Musculoskeletal Clinical and Research Practice.

Darryl B Sneag, Frederik Abel, Hollis G Potter, Jan Fritz, Matthew F Koff, Christine B Chung, Valentina Pedoia, Ek T Tan

Abstract readReview
In one paragraph

Review in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Current Uses for Medical Imaging With Orthopaedic Implant Technology.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Modern low-field MRI.Skeletal radiology · 2024
    Review
  19. Article
  20. 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

8 authors.

Darryl B SneagFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).ORCID 0000-0002-9105-5415
Frederik AbelFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).ORCID 0000-0001-8988-6917
Hollis G PotterFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).ORCID 0000-0002-9111-6388
Jan FritzFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).ORCID 0000-0003-4456-3043
Matthew F KoffFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).ORCID 0000-0001-6969-0183
Christine B ChungFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).
Valentina PedoiaFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).ORCID 0000-0002-9745-955X
Ek T TanFrom the Department of Radiology and Imaging, Hospital for Special Surgery, 535 E 70th St, New York, NY 10021 (D.B.S., F.A., H.G.P., M.F.K., E.T.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology, University of California San Diego, La Jolla, Calif (C.B.C.); Radiology Service, Veterans Affairs San Diego Healthcare System, La Jolla, Calif (C.B.C.); and Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (V.P.).ORCID 0000-0003-2847-9378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decades, MRI has become increasingly important for diagnosing and longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software improvements aiming to optimize image quality and speed. However, surging demand for musculoskeletal MRI and increased interest to provide more personalized care will necessitate a stronger emphasis on efficiency and specificity. Ongoing hardware developments include more powerful gradients, improvements in wide-bore magnet designs to maintain field homogeneity, and high-channel phased-array coils. There is also interest in low-field-strength magnets with inherently lower magnetic footprints and operational costs to accommodate global demand in middle- and low-income countries. Previous approaches to decrease acquisition times by means of conventional acceleration techniques (eg, parallel imaging or compressed sensing) are now largely overshadowed by deep learning reconstruction algorithms. It is expected that greater emphasis will be placed on improving synthetic MRI and MR fingerprinting approaches to shorten overall acquisition times while also addressing the demand of personalized care by simultaneously capturing microstructural information to provide greater detail of disease severity. Authors also anticipate increased research emphasis on metal artifact reduction techniques, bone imaging, and MR neurography to meet clinical needs.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAlgorithmsHumansSoftware

Identifiers

PMID37581501
PMCPMC10477516

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.