Subdural vein-based segmentation model for localization of spinal dural arteriovenous fistula using contrast-enhanced MR angiography
The study introduces RadicularSEUNet, a deep learning model that utilizes contrast-enhanced MR angiography to noninvasively and accurately localize spinal dural arteriovenous fistulas by segmenting subdural veins, achieving 100% accuracy in a clinical cohort and outperforming traditional invasive methods.