Integration of MRI radiomics features and clinical data for predicting neurological recovery after thoracic spinal stenosis surgery: a machine learning model

BackgroundThoracic spinal stenosis (TSS) is a rare yet debilitating condition, often requiring surgical decompression. Prognostic assessments traditionally rely on single clinical or imaging features, limiting prediction accuracy. This study explores whether radiomics-based models enhance outcome pr...

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Detalhes bibliográficos

Principais autores:	Bin Zheng, Zhenqi Zhu, Panfeng Yu, Yan Liang, Haiying Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-10-01
coleção:	Frontiers in Medicine
Assuntos:	thoracic spinal stenosis MRI radiomics machine learning neurological recovery predictive
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1633633/full
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