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Machine learning-based calculation of neurovascular compression surface area correlates with post-microvascular decompression pain outcomes for trigeminal neuralgia

2025-03-26

Abstract excerpt

<h4>Background</h4> Machine learning-generated segmentations of the trigeminal nerve and nearby blood vessels have the potential to quantify the magnitude of neurovascular compression (NVC) in patients with trigeminal neuralgia (TN). This study applies the nnU-Net machine learning method to create segmentations of the trigeminal nerve region from patient MRIs and correlate resulting quantitative NVC metrics with p...

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Literature Corpus work
9f913698-91e5-5e7b-8389-56ddd22d0e23
DOI
10.1101/2025.03.25.25324660
Open publication

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Machine learning-based calculation of neurovascular compression surface area correlates with post-microvascular decompression pain outcomes for trigeminal neuralgiaDOI 10.1101/2025.03.25.25324660
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