Predictive Classification System for Low Back Pain Based on Unsupervised Clustering.

ABSTRACT:

Study design

Retrospective study.

Objective

Lumbar magnetic resonance imaging (MRI) findings are believed to be associated with low back pain (LBP). This study sought to develop a new predictive classification system for low back pain.

Method

Normal subjects with repeated lumbar MRI scans were retrospectively enrolled. A new classification system, based on the radiological features on MRI, was developed using an unsupervised clustering method.

Results

One hundred and fifty-nine subjects were included. Three distinguishable clusters were identified with unsupervised clustering that were significantly correlated with LBP (P = .017). The incidence of LBP was highest in cluster 3 (57.14%), nearly twice the incidence in cluster 1 (30.11%). There were obvious

SUBMITTER: Jin L 

PROVIDER: S-EPMC10240599 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature