Long-Term Functional and Histological Outcomes Following Sutureless Peripheral Nerve Repair Using Nerve Tape in Pigs
Tatarchuk, M. M.; Clizbe, D. R.; Browne, K. D.; Howard, S.; Ghenbot, Y.; Zager, E. L.; Cullen, D. K.; Burrell, J. C.
Show abstract
Severe peripheral nerve injuries result in incomplete recovery despite neurorrhaphy. Microsurgical suturing is technically demanding, time-intensive, and may produce variable fascicular alignment. Nerve Tape is an FDA-approved sutureless device enabling rapid, reproducible nerve coaptation. This study compared Nerve Tape with epineurial microsuturing following common peroneal nerve transection in Yucatan minipigs. Over 12 months, both groups demonstrated reinnervation of the tibialis anterior and extensor digitorum brevis, representing proximal and distal muscle targets, respectively. Tibialis anterior recovery was comparable between groups. In contrast, Nerve Tape produced greater distal motor recovery in the extensor digitorum brevis, with approximately 1.8-fold higher compound muscle action potential amplitude and 74.3% versus 46.0% recovery compared with microsutures. Compound nerve action potential amplitudes recorded from the motor branch of the deep peroneal nerve were also greater with Nerve Tape, whereas conduction velocities were comparable. Histological analysis demonstrated preserved fascicular architecture distal to the repair in both groups, with no significant differences in axon count, mean myelinated axon diameter, or g-ratio in the terminal common peroneal nerve or its distal motor branch. Clinical use was demonstrated in a representative case with progressive recovery. Nerve Tape supported durable structural and functional recovery and improved distal motor reinnervation compared with microsuturing.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Improving the learning curve in monoportal endoscopic lumbar surgery: development and validation of a porcine training model. 94%
- Regeneration of a Full-Thickness Defect in Rotator Cuff Tendon with Umbilical Cord-Derived Mesenchymal Stem Cells in a Rat Model 93%
- A simple and robust method for automating analysis of naïve and regenerating peripheral nerves 92%
Similar papers in this journal
- Development and Validation of Collaborative Robot-assisted Cutting Method for Iliac Crest Flap Raising: Randomized Crossover Trial 92%
- Poly-L-Ornithine Coated Plant Scaffolds Support Motor Recovery in Rats after Traumatic Spinal Cord Injury 91%
- Altered TGFB1 regulated pathways promote accelerated tendon healing in the superhealer MRL/MpJ mouse 91%
Similar papers in this journal
- Multipoint Stimulation Motor Unit Number Estimation of the Extensor Indicis and Anconeus after Cervical Spinal Cord Injury 93%
- The Impact of Brain-Derived Neurotrophic Factor rs6265 (Val66Met) Polymorphism on Therapeutic Electrical Stimulation for Peripheral Nerve Regeneration: A Preclinical Study of Therapy-Genotype Interactions 91%
- Development of a major histocompatibility complex class II conditional knockout mouse to study cell-specific and time-dependent adaptive immune responses in peripheral nerves. 90%
Similar papers in this journal
- A Porcine Model of Peripheral Nerve Injury Enabling Ultra-Long Regenerative Distances: Surgical Approach, Recovery Kinetics, and Clinical Relevance 98%
- Reconnecting the Hand and Arm to the Brain: Efficacy of Neural Interfaces for Sensorimotor Restoration after Tetraplegia 90%
- Adverse Events in Surgical Neurology: The Novel Therapy-Disability-Neurology (TDN) Grade 86%
Similar papers in this journal
- VEGF-A, PDGF-BB and HB-EGF engineered for promiscuous super affinity to the extracellular matrix improve wound healing in a model of type 1 diabetes 90%
- Endogenous Tenocyte Activation Underlies the Regenerative Capacity of Adult Zebrafish Tendon 90%
- The role of muscle stem cells and fibro-adipogenic progenitors in female pelvic floor muscle regeneration following birth injury 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.