Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.

ABSTRACT:

Purpose

A novel AI-based 3D analysis system was developed to automatically extract bone and cartilage from MRI data and provide average cartilage thickness. This study aimed to analyze the interscan measurement error of knee cartilage thickness in osteoarthritis patients.

Methods

Fifty knee osteoarthritis patients underwent two scans using MRI systems from five different vendors. Each model included five Kellgren-Lawrence grade (KL) 1-2 and five KL3-4 patients. Cartilage thickness was automatically quantified for seven regions, and interscan measurement error was analyzed.

Results

In the KL1-2 group, measurements with errors ≤0.05 mm, ≤ 0.10 mm, and ≤0.20 mm were 42%, 75%, and 97%, respectively. For the KL3-4 group, these proportions were 31%, 59%, and 90%. The entire

SUBMITTER: Katano H 

PROVIDER: S-EPMC12331091 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature