Machine Learning Predicts Decompression Levels for Lumbar Spinal Stenosis Using Canal Radiomic Features from Computed Tomography Myelography

Background: The accurate preoperative identification of decompression levels is crucial for the success of surgery in patients with multi-level lumbar spinal stenosis (LSS). The objective of this study was to develop machine learning (ML) classifiers that can predict decompression levels using compu...

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Bibliographic Details

Published in:	Diagnostics
Main Authors:	Guoxin Fan, Dongdong Wang, Yufeng Li, Zhipeng Xu, Hong Wang, Huaqing Liu, Xiang Liao
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Subjects:	machine learning lumbar spinal stenosis computed tomography myelography decompression level predictive analysis
Online Access:	https://www.mdpi.com/2075-4418/14/1/53