Meeting Banner
Abstract #1901

Can MRI of the lumbar spine identify neurogenic claudication patients reliably? - Comparison of single variable and machine learning approaches.

Richard Michael Gagen1, Carmen Dragos2, and Charles Hutchinson1
1Populations, Evidence and Technology, Warwick Medical School, University of Warwick, Coventry, United Kingdom, 2Imaging, University Hospital Covenry and Warwickshire, Coventry, United Kingdom

A case-referant type study assessing the performance of MRI lumbar spine based measurements of the spinal canal in classifying participants as either having neurogenic claudication or non-specific low-back pain. Three measurements of the central lumbar canal are assessed: the dural-sac cross-sectional area, anteroposterior canal diameter and A-D grading system proposed by Schizas et al. The performance of these measurements is compared to a machine learning model incorporating a range of other MRI measurements and demographic information.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here