Evidence map›Paper›PMID 32129560›Full record

ArticleJournal of magnetic resonance imaging : JMRI2020

Rotator Cuff Tendon Assessment in Symptomatic and Control Groups Using Quantitative MRI.

Aria Ashir, Yajun Ma, Saeed Jerban, Hyungseok Jang, Zhao Wei, Nicole Le, Jiang Du, Eric Y Chang

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  13. Quantative MRI predicts tendon mechanical behavior, collagen composition, and organization.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  14. Article
  15. Article
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  18. Magnetic resonance imaging of the shoulder.Polish journal of radiology · 2020
    Review
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 at 2 institutions in 1 country.

Aria AshirDepartment of Radiology, University of California, San Diego, California, USA.
Yajun MaDepartment of Radiology, University of California, San Diego, California, USA.ORCID 0000-0003-0830-9232
Saeed JerbanDepartment of Radiology, University of California, San Diego, California, USA.
Hyungseok JangDepartment of Radiology, University of California, San Diego, California, USA.
Zhao WeiDepartment of Radiology, University of California, San Diego, California, USA.
Nicole LeResearch Service, VA San Diego Healthcare System, San Diego, California, USA.
Jiang DuDepartment of Radiology, University of California, San Diego, California, USA.
Eric Y ChangDepartment of Radiology, University of California, San Diego, California, USA.ORCID 0000-0003-3633-5630
University of California San Diego · USVA San Diego Healthcare System · US

Funding

Quantitative UTE MR Imaging: Sensitive Biomarkers for OsteoarthritisR01AR062581 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2013 to 2022
$4.1M
UTE Magnetic Resonance Imaging: New Biomarkers for Multiple SclerosisR01NS092650 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DU, JIANG · 2015 to 2019
$1.9M
Three-dimensional Ultrashort Echo Time Magnetic Resonance Imaging of EnthesesR01AR075825 · NIAMS · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI CHANG, ERIC Y · 2019 to 2023
$1.8M
Ultrashort Echo Time Magnetic Resonance Imaging of Bone Stress InjuriesR21AR073496 · NIAMS · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI CHANG, ERIC Y · 2018 to 2019
$343k
Quantitative Magnetic Resonance Imaging of Human Rotator Cuff TendonI01CX001388 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2016 to 2024
–
Quantitative Measurement of Joint pH with Magnetic Resonance ImagingI01RX002604 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI CHANG, ERIC Y · 2018 to 2022
–
CSRD VA I01 CX001388NIAMS NIH HHS R01 AR062581NIAMS NIH HHS R01 AR075825NIAMS NIH HHS R21 AR073496NINDS NIH HHS R01 NS092650RRD VA I01 RX002604
6 · The paper itself

Abstract

backgroundRelatively weak correlations between patient symptoms and rotator cuff tendon (RCT) tearing have been reported; however, the relationship between symptoms and tendinosis has been less well-studied. PURPOSE/HYPOTHESIS: To use quantitative MRI to assess the bilateral RCTs in shoulders of both patients with unilateral symptomatic tendinopathy and control subjects. We hypothesized that quantitative MRI measures would differ between symptomatic patients and controls. STUDY TYPE: Prospective imaging study. POPULATION/SUBJECTS: In all, 48 shoulders from 24 subjects (mean age, 32.8 years), including 14 patients with unilateral symptomatic tendinopathy and 10 asymptomatic controls. FIELD STRENGTH/SEQUENCE: 3T/3D ultrashort echo time Cones sequence with magnetization transfer preparation (UTE-Cones-MT) and Carr-Purcell-Meiboom-Gill. ASSESSMENT: Macromolecular fraction (MMF) and T STATISTICAL TESTS: Three shoulder groups were evaluated, including symptomatic shoulders, contralateral asymptomatic shoulders in patients, and asymptomatic controls. MMF and T

resultsSignificant differences were found in both MMF and T DATA

conclusionSymptomatic RCTs showed significantly lower MMF values and higher T EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2. J. Magn. Reson. Imaging 2020;52:864-872.

Indexed as

Rotator CuffRotator Cuff InjuriesAdultControl GroupsHumansMagnetic Resonance ImagingOntarioTendonsmagnetization transferquantitative MRIrotator cuff tendinopathyT2ultrashort echo time

Identifiers

PMID32129560
PMCPMC7426250
OpenAlexW3009655771

What OpenQuestion holds

Textmetadata
LicenceTDM
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.