Evidence map›Paper›PMID 27455389›Full record

ArticleMagnetic resonance in medicine2017

Diffusion tensor imaging of articular cartilage at 3T correlates with histology and biomechanics in a mechanical injury model.

Uran Ferizi, Ignacio Rossi, Youjin Lee, Matin Lendhey, Jason Teplensky, Oran D Kennedy, Thorsten Kirsch, Jenny Bencardino, José G Raya

Open access · greenAbstract readComparative Study
In one paragraph

Article in Magnetic resonance in medicine, 2017. 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
2.7field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Advances in cartilage imaging techniques.Nature reviews. Rheumatology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. AnFrontiers in bioengineering and biotechnology · 2021
    Article
  11. Accuracy of collagen fibre estimation under noise using directional MR imaging.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2020
    Article
  12. Use of Computational Modeling to Study Joint Degeneration: A Review.Frontiers in bioengineering and biotechnology · 2020
    Review
  13. Osteoarthritis year in review 2018: mechanics.Osteoarthritis and cartilage · 2019
    Review
  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

9 authors at 2 institutions in 1 country.

Uran FeriziDepartment of Radiology, New York University School of Medicine, New York, New York, USA.
Ignacio RossiDepartment of Radiology, New York University School of Medicine, New York, New York, USA.
Youjin LeeDepartment of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York, USA.
Matin LendheyDepartment of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York, USA.
Jason TeplenskyDepartment of Radiology, New York University School of Medicine, New York, New York, USA.
Oran D KennedyDepartment of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York, USA.
Thorsten KirschDepartment of Orthopaedic Surgery, New York University Hospital for Joint Diseases, New York, New York, USA.
Jenny BencardinoDepartment of Radiology, New York University School of Medicine, New York, New York, USA.
José G RayaDepartment of Radiology, New York University School of Medicine, New York, New York, USA.
New York University Langone Orthopedic Hospital · USNew York University · US

Funding

Diffusion Tensor Imaging as a Biomarker for the Early Diagnosis, Staging and Progression of OsteoarthritisR01AR067789 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAYA GARCIA DEL OLMO, JOSE MARIA · 2015 to 2019
$2.8M
Diffusion Tensor Imaging as a Probe of Cartilage Integrity after Knee InjuryR21AR066897 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BENCARDINO, JENNY T., RAYA GARCIA DEL OLMO, JOSE MARIA · 2014 to 2015
$410k
NIAMS NIH HHS R01 AR067789NIAMS NIH HHS R21 AR066897
6 · The paper itself

Abstract

purposeWe establish a mechanical injury model for articular cartilage to assess the sensitivity of diffusion tensor imaging (DTI) in detecting cartilage damage early in time. Mechanical injury provides a more realistic model of cartilage degradation compared with commonly used enzymatic degradation.

methodsNine cartilage-on-bone samples were obtained from patients undergoing knee replacement. The 3 Tesla DTI (0.18 × 0.18 × 1 mm

resultsAfter severe injury the mean diffusivity increased after 1 and 2 weeks, whereas the fractional anisotropy decreased after 2 weeks (P < 0.05). The QLV-parameters and OARSI grades of the severe injury group differed from the baseline with statistical significance. The changes in mean diffusivity across all the samples correlated with the changes in the OARSI grade (r = 0.72) and QLV-parameters (r = -0.75).

conclusionDTI is sensitive in tracking early changes after mechanical injury, and its changes correlate with changes in biomechanics and histology. Magn Reson Med 78:69-78, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

AdultCartilage, ArticularDiffusion Tensor ImagingElastic ModulusFemaleFractures, CartilageHumansImage Interpretation, Computer-AssistedKnee InjuriesMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityStress, MechanicalViscosityarticular cartilagebiomechanicscartilage mechanical injurydiffusion tensor imaginghistology analysis

Identifiers

PMID27455389
PMCPMC9175493
OpenAlexW2508515840

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.