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

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
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
Series:Diagnostics
Subjects:
machine learning
lumbar spinal stenosis
computed tomography myelography
decompression level
predictive analysis
Online Access:https://www.mdpi.com/2075-4418/14/1/53

Internet

https://www.mdpi.com/2075-4418/14/1/53

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