MRI machine learning model predicts nerve root sedimentation in lumbar stenosis: a prospective study

Older patients, along with a greater degree of stenosis and changes in the dural sac and surrounding tissue structures, were identified as the main pathophysiological basis for the occurrence of the SedSign in LSS.

Authors

Caiyun Ying
Qing Wang (ORCID: https://orcid.org/0009-0003-7328-8762)
Xianping Luo
Yi Zhai
Li Deng (ORCID: https://orcid.org/0000-0003-3672-1136)

Institutions

First People's Hospital of Chongqing (CN)

Publication Details

Journal: Frontiers in Neurology
Published: 2025-08-08
DOI: https://doi.org/10.3389/fneur.2025.1585973
Primary Topic: Spine and Intervertebral Disc Pathology
Type: article
Field-Weighted Citation Impact: 0.00

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article

MRI machine learning model predicts nerve root sedimentation in lumbar stenosis: a prospective study

Caiyun Ying, Qing Wang, Xianping Luo, Yi Zhai et al.

Aug 8, 2025

Frontiers in Neurology

Spine and Intervertebral Disc Pathology

article

MRI machine learning model predicts nerve root sedimentation in lumbar stenosis: a prospective study

Caiyun Ying, Qing Wang, Xianping Luo, Yi Zhai, Li Deng

August 8, 2025article en

Abstract

Frontiers in NeurologyVol. 16

First People's Hospital of Chongqing (CN)

Life in Land

Openalex Percentile: Top 70%

Spine and Intervertebral Disc Pathology

DOI Open Access PDF OpenAlex

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MRI machine learning model predicts nerve root sedimentation in lumbar stenosis: a prospective study — Caiyun Ying, Qing Wang, et al. · Frontiers in Neurology (2025) | TGRS Research Map | TGRS