Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort

Huber, Florian A; Stutz, Shanon; Vittoria de Martini, Ilaria; Mannil, Manoj; Becker, Anton S; Winklhofer, Sebastian; Burgstaller, Jakob M; Guggenberger, Roman

doi:10.1016/j.ejrad.2019.02.023

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Huber, F. A., Stutz, S., Vittoria de Martini, I., Mannil, M., Becker, A. S., Winklhofer, S., Burgstaller, J. M., & Guggenberger, R. (2019). Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort. European Journal of Radiology, 114, 45–50. https://doi.org/10.1016/j.ejrad.2019.02.023

Abstract

PURPOSE To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine. MATERIALS AND METHODS From a nationwide multicenter and multidisciplinary lumbar stenosis outcome study (LSOS) register 82 patients, undergoing MR scans of the lumbar spine due to clinical indication of spinal claudication, with a single level central or lateral severe LSS were included. In