Evidence map›Paper›PMID 42238704›Full record

ArticleOsteoarthritis imaging2025

Imaging of cartilage, meniscus, and beyond: Role of Magnetic Resonance Imaging (MRI) and Computed Tomography (CT).

Patrick Omoumi

Abstract read
In one paragraph

Article in Osteoarthritis imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Editorial: Special issue imaging and pain.Osteoarthritis imaging · 2026
    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.

Patrick OmoumiLausanne University Hospital, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic Resonance Imaging (MRI) remains the reference standard for imaging cartilage and meniscus, offering superior soft tissue contrast essential for comprehensive joint assessment in osteoarthritis (OA). However, recent technological advancements in Computed Tomography (CT)-spectral imaging, and weight-bearing scanners-have sparked renewed interest in utilizing CT, and CT arthrography in the evaluation of OA. This narrative mini-review explores the strengths and limitations of both MRI and CT in imaging cartilage and meniscus, and presents some trends in the research setting. MRI remains the modality of choice for joint imaging, offering excellent soft tissue contrast and comprehensive articular assessment. CT is the reference for the assessment of mineralized tissue imaging, and in association with arthrography (CT arthrography, CTA), provides high performance in the diagnosis of surface lesions. In the research setting, efforts have focused on the acceleration of MRI acquisitions, with deep learning reconstructions disrupting the traditional trade-off between acquisition speed and image quality. Efforts are undertaken to standardize compositional MRI techniques, which probe early-stage biochemical tissular changes. Emerging techniques such as synthetic imaging may offer the ability to provide information on bone and soft tissues in a single acquisition. Weight-bearing acquisitions have allowed the assessment of joint structures, in particular menisci, in a loaded position. Photon-counting CT promises higher resolution, improved material separation without increasing radiation exposure. Finally, post-processing tools are being developed to leverage large quantities of data and integrate both modalities in a complementary framework that could provide a robust toolset for the assessment of OA.

Indexed as

BoneCartilageCompositional imagingCTCT arthrographyImagingKneeMeniscusMRIMri sequencesOsteoarthritisPhoton-counting CTWeight-bearing

Identifiers

PMID42238704
PMCPMC13228704

What OpenQuestion holds

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LicenceCC BY
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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.