Deep learning-radiomics assessment of intervertebral disc and paraspinal muscle heterogeneity for predicting postoperative recurrent lumbar disc herniation

ObjectiveAlthough imaging and paraspinal muscle parameters are linked to postoperative recurrent lumbar disc herniation (PRLDH), micro-level texture characteristics and their interactions remain underexplored. This study applied deep learning (DL)-radiomics to quantify the microstructural heterogene...

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Bibliografische gegevens

Hoofdauteurs:	Guangdong Zhang, Ziqian Zhu, Haiyan Zheng, Xindong Chang, Fanyi Zeng, Jianwei Cui, Ming Tang, Shiwu Yin
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2026-02-01
Reeks:	Frontiers in Artificial Intelligence
Onderwerpen:	deep learning intervertebral disc lumbar disc herniation paraspinal muscle postoperative recurrent lumbar disc herniation
Online toegang:	https://www.frontiersin.org/articles/10.3389/frai.2026.1757269/full
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