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.

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