Machine learning integration of multi-modal radiomics and clinical factors predicts refracture risk after percutaneous kyphoplasty in postmenopausal women

Abstract This study explores the use of radiomic features extracted from preoperative T2-weighted MRI and CT images, combined with machine learning models, to predict the risk of vertebral refracture after percutaneous kyphoplasty (PKP) in postmenopausal women. We retrospectively collect data from 1...

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Detalhes bibliográficos

Principais autores:	Bin Zheng, Panfeng Yu, Zhenqi Zhu, Yan Liang, Haiying Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-10-01
Colecção:	Scientific Reports
Assuntos:	PKP OVCF Refractures Osteoporosis Machine learning Radiomics
Acesso em linha:	https://doi.org/10.1038/s41598-025-21894-7
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