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...

Whakaahuatanga katoa

Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Guoxin Fan, Dongdong Wang, Yufeng Li, Zhipeng Xu, Hong Wang, Huaqing Liu, Xiang Liao
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2023-12-01
Rangatū:	Diagnostics
Ngā marau:	machine learning lumbar spinal stenosis computed tomography myelography decompression level predictive analysis
Urunga tuihono:	https://www.mdpi.com/2075-4418/14/1/53
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!