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Abstract #4945

Mathematical model of sciatic nerve regeneration: FA changes along the distal section relate to behavioral recovery

Isaac Manzanera Esteve1, Ling Yan1, Huseyin Karagoz1, Ricardo Torres-Guzman1, Barite Gutama1, Sara Chaker1, Ronald Cornely1, Benjamin Savitz1, Andrew James1, Erin Abott1, Noah Alter1, Anvith Reddy1, Ping Wang2, Sharon Christopher2, Richard Dortch2, and Wesley Thayer1
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States

Synopsis

Keywords: Peripheral Nerves, Diagnosis/Prediction

Motivation: Currently, there are no reliable, non-invasive biomarkers capable to early identify repair of severe peripheral nerve injuries cases that require additional surgical intervention

Goal(s): FA monitors clinical axonal regeneration after surgical repair of traumatic peripheral nerve injuries.

Approach: A novel mathematical model to identify and characterize multiple sections based on slice-wise FA values of the sciatic nerve following nerve repair provided an automated and consistent approach to identify cases that require surgical inventions.

Results: Sections in close to the injury show higher correlation values (R2 = 0.713; p <0.001) with behavioral results than any other section of the distal region.

Impact: FA close to the injury site shows great potential as a reliable biomarker for assessing nerve injury and postoperative recovery.

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Keywords