Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach.
Shahriar FaghaniMana MoassefiAjay A MadhavanIan T MarkJared T VerdoornBradley J EricksonJohn C BensonPublished in: AJNR. American journal of neuroradiology (2024)
This study developed a deep learning model that can predict the presence of a spinal CSF-venous fistula based on brain MR imaging in patients with suspected spontaneous intracranial hypotension. However, further model refinement and external validation are necessary before clinical adoption. This research highlights the substantial potential of deep learning in diagnosing CSF-venous fistulas by using brain MR imaging.
Keyphrases
- deep learning
- resting state
- contrast enhanced
- white matter
- artificial intelligence
- convolutional neural network
- functional connectivity
- machine learning
- magnetic resonance imaging
- cerebral ischemia
- spinal cord
- cerebrospinal fluid
- electronic health record
- subarachnoid hemorrhage
- brain injury
- climate change
- diffusion weighted imaging
- human health