Predicting meniscus tear risk with radiomics

New research indicates that various features assessed through imaging tests can reveal an individual's risk of developing meniscus tears, which is one of the most common knee injuries.

The study, which is published in the Journal of Orthopaedic Research, was based on the use of radiomics, which unveils imperceptible patterns in medical images. Investigators used magnetic resonance images from 215 people with intact menisci at the start of the study who had 4-year meniscal status data.

Over 4 years, 34 participants developed meniscus tears. Use of radiomics at the start of the study correctly classified 24 of these 34 cases and 172 of 181 controls with a sensitivity of 70.6% and a specificity of 95.0%. Therefore, the technique provides sensitive and quantitative measures of meniscus alterations that could help clinicians know when to intervene to safeguard against meniscus tears.

Understanding meniscus tear risk through radiomics opens new possibilities for proactive knee health management, offering clinicians a valuable tool to anticipate and prevent such injuries," said

Matthew Harkey, PhD, ATC, corresponding author of Michigan State University

Journal reference:

Villagran, M, et al. (2024) Radiomic features of the medial meniscus predicts incident destabilizing meniscal tears: Data from the osteoarthritis initiative. Journal of Orthopaedic Research.


The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Research collaboration could help promote health and reduce injuries in NBA G League players