Evidence map›Paper›PMID 27626787›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Longitudinal study using voxel-based relaxometry: Association between cartilage T

Valentina Pedoia, Matthew C Gallo, Richard B Souza, Sharmila Majumdar

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. A novel mr-based method for detection of cartilage delamination in femoroacetabular impingement patients.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Trial
  2. Article
  3. Article
  4. Early age-related changes to articular cartilage TOsteoarthritis and cartilage open · 2025
    Article
  5. Article
  6. Association of cartilageOsteoarthritis and cartilage open · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Local Patterns in 2-Year TJournal of magnetic resonance imaging : JMRI · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Longitudinal analysis of the contribution of 3D patella and trochlear bone shape on patellofemoral joint osteoarthritic features.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021
    Article
  17. Article
  18. Article
  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

4 authors.

Valentina PedoiaMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Matthew C GalloMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Richard B SouzaMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Sharmila MajumdarMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.

Funding

Structural, Biochemical and Functional Connectivity in Osteoarthritis using Quantitative Magnetic Resonance Imaging and Skeletal BiomechanicsR01AR069006 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA, SOUZA, RICHARD BRIAN · 2016 to 2025
$7.2M
Translation of Quantitative Imaging in OsteoarthritisP50AR060752 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2011 to 2015
$6.2M
NIAMS NIH HHS P50 AR060752NIAMS NIH HHS R01 AR069006
6 · The paper itself

Abstract

purposeTo study the local distribution of hip cartilage T MATERIALS AND

methodsThe 3 Tesla MRI studies of the hip were obtained for 37 healthy controls and 16 subjects with radiographic hip OA. The imaging protocol included a three-dimensional (3D) SPGR sequence and a combined 3D T

resultsResults for the two methods were consistent in the acetabular (R = 0.79; coefficients of variation [CV] = 2.9%) and femoral cartilage (R = 0.90; CV = 2.6%). VBR revealed local patterns of T

conclusionVBR is an accurate and robust method for quantitative MRI analysis in hip cartilage. VBR showed the capability to detect local variations in T LEVEL OF EVIDENCE: 1 J. MAGN. RESON. IMAGING 2017;45:1523-1533.

Indexed as

AdultAgedAutomationCartilage, ArticularCase-Control StudiesFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedOsteoarthritis, HipPatient Reported Outcome MeasuresRange of Motion, Articularatlas-based segmentationhip cartilageosteoarthritisT1ρT2voxel-based relaxometry

Identifiers

PMID27626787
PMCPMC5350069

What OpenQuestion holds

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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.