The value of deep learning-based X-ray techniques in detecting and classifying K-L grades of knee osteoarthritis: a systematic review and meta-analysis.

ABSTRACT:

Objectives

Knee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (K-L) is the gold standard for evaluating KOA severity through X-ray analysis. However, this method is highly subjective and non-quantifiable, limiting its effectiveness in detecting subtle joint changes on X-rays. Recent researchers have been directed towards developing deep-learning (DL) techniques for a more accurate diagnosis of KOA using X-ray images. Despite advancements in these intelligent methods, the debate over their diagnostic sensitivity continues. Hence, we conducted the current meta-analysis.

Methods

A comprehensive search was conducted in PubMed, Cochrane, Embase, Web of Science, and IEEE up to July 1

SUBMITTER: Zhao H 

PROVIDER: S-EPMC11631813 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature