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Quantitative meniscus imaging and analysis: A narrative review.

Kalpana Sharma^1,2

¹Research Program for Musculoskeletal Imaging, Center for Anatomy and Cell Biology, Paracelsus Medical University, Salzburg, Austria.

Osteoarthritis Imaging

|June 4, 2026

Summary

This summary is machine-generated.

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Quantitative magnetic resonance imaging (qMRI) of the meniscus offers reliable, non-invasive assessment of knee osteoarthritis (KOA) progression. This technology enhances understanding of meniscal morphometry and position in relation to KOA development and symptoms.

Area of Science:

Orthopedics
Radiology
Biomedical Engineering

Background:

The meniscus plays a critical role in knee joint health and osteoarthritis (KOA) development.
Accurate assessment of meniscal changes is crucial for understanding KOA incidence and progression.

Purpose of the Study:

To review the evolution of magnetic resonance imaging (MRI), segmentation, and quantitative analysis (qMRI) of the meniscus.
To highlight the role of meniscal qMRI in understanding knee osteoarthritis (KOA).

Main Methods:

A comprehensive literature search was conducted across PubMed and Google Scholar from 1989 to 2024.
Keywords included "meniscus", "imaging", "magnetic resonance", "quantitative analysis", "knee osteoarthritis", and "progression".

Main Results:

Keywords:

Knee osteoarthritis Knee pain Magnetic resonance imaging Meniscus Progression Quantitative analysis

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Technological advancements have enabled precise 3D qMRI of meniscal morphometry and position.
Three-dimensional qMRI is a reliable, reproducible, non-invasive tool for assessing meniscal changes.
Quantitative meniscal extrusion measures predict various imaging endpoints and clinical outcomes in KOA.

Conclusions:

Quantitative meniscus measurement technology has significantly advanced meniscal imaging research.
This methodology provides accurate 3D analysis of meniscal morphometric and positional measures.
qMRI of the meniscus offers crucial insights into the incidence and progression of symptomatic and structural KOA.