Evidence map›Paper›PMID 42238532›Full record

ArticleOsteoarthritis imaging2025

Quantitative meniscus imaging and analysis: A narrative review.

Kalpana Sharma

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kalpana SharmaResearch Program for Musculoskeletal Imaging, Center for Anatomy and Cell Biology, Paracelsus Medical University, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In this review, we summarize the literature on the evolution of magnetic resonance imaging (MRI), segmentation, and quantitative analysis (qMRI) of the meniscus, while bearing in mind the pivotal role of the meniscus in the development (incidence) and progression of symptomatic and structural knee osteoarthritis (KOA). Design: We performed a literature search across PubMed and Google Scholar, spanning 35 years (1989-2024). We utilized keywords such as "meniscus", "fibrocartilage", "imaging", "magnetic resonance", "radiography", "morphometry", "quantitative analysis", "knee", "osteoarthritis", "symptoms", "pain", "structure", "progression", "radiographic", and "reproducibility". Results: Technological advances in image acquisition, segmentation, and derivation of quantitative analytic endpoints pertinent to meniscus morphometry (e.g., height, width, and volume) and position (e.g., tibial coverage, extrusion area, and distance) within the joint are highlighted in the literature. Three-dimensional qMRI of the meniscus has emerged as a reliable and reproducible non-invasive measurement technology, offering enhanced efficacy for assessing the relationship of the meniscus with radiographic joint space width (JSW), knee pain, structural (radiographic) KOA status, and with symptomatic and structural progression of KOA. Quantitative measures of meniscal extrusion were found to be robust predictors of various imaging endpoints, including osteophyte formation, subchondral bone changes, cartilage loss, as well as significant clinical outcomes. Conclusions: The emergence of quantitative meniscus measurement technology has revamped the field of meniscal imaging research, providing accurate 3D analysis of both morphometric and positional measures. The systematic application of this methodology has unveiled significant insights into a better understanding of the incidence and symptomatic and structural progression of KOA.

Indexed as

Knee osteoarthritisKnee painMagnetic resonance imagingMeniscusProgressionQuantitative analysis

Identifiers

PMID42238532
PMCPMC13228729

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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.