Evidence map›Paper›PMID 23610697›Full record

ArticleBone & joint research2013

MRI of articular cartilage at microscopic resolution.

Y Xia

Abstract read
In one paragraph

Article in Bone & joint research, 2013. 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
–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

18 citing papers in PubMed.

  1. Detecting Collagen Fiber Architecture after Destabilization of the Medial Meniscus Surgery Using High-Resolution Diffusion Tensor Imaging.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Article
  2. Article
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  8. Quantitative µMRI and PLM study of rabbit humeral and femoral head cartilage at sub-10 µm resolutions.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020
    Article
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  15. Article
  16. UTE imaging in the musculoskeletal system.Journal of magnetic resonance imaging : JMRI · 2015
    Review
  17. Article
  18. 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

1 author.

Y XiaOakland University, 276 Hannah Hall, Department of Physics, Rochester, Michigan 48309, USA.

Funding

Adaptability of Articular Cartilage to External Loading by Microscopic ImagingR01AR052353 · NIAMS · OAKLAND UNIVERSITY · PI XIA, YANG · 2008 to 2013
$2.1M
NIAMS NIH HHS R01 AR052353
6 · The paper itself

Abstract

This review briefly summarises some of the definitive studies of articular cartilage by microscopic MRI (µMRI) that were conducted with the highest spatial resolutions. The article has four major sections. The first section introduces the cartilage tissue, MRI and µMRI, and the concept of image contrast in MRI. The second section describes the characteristic profiles of three relaxation times (T1, T2 and T1ρ) and self-diffusion in healthy articular cartilage. The third section discusses several factors that can influence the visualisation of articular cartilage and the detection of cartilage lesion by MRI and µMRI. These factors include image resolution, image analysis strategies, visualisation of the total tissue, topographical variations of the tissue properties, surface fibril ambiguity, deformation of the articular cartilage, and cartilage lesion. The final section justifies the values of multidisciplinary imaging that correlates MRI with other technical modalities, such as optical imaging. Rather than an exhaustive review to capture all activities in the literature, the studies cited in this review are merely illustrative.

Indexed as

Articular cartilageDepth-dependent profilesImage analysis strategyImage contrastImaging artefactMicroscopic resolutionMRIOsteoarthritisRelaxation timesSelf-diffusion

Identifiers

PMID23610697
PMCPMC3626185

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.