Evidence map›Paper›PMID 41424212›Full record

ArticleMuscle & nerve2026

Modeling Postoperative Nerve Regeneration Using Diffusion MRI: A Preclinical Study of a Novel Mathematical Approach.

Isaac Manzanera Esteve, Ling Yan, Huseyin Karagoz, Ricardo Torres-Guzman, Sara Chaker, Barite Gutama, Ronald M Cornely, Benjamin Savitz, Andrew James, Noah Alter and 7 more

Abstract read
In one paragraph

Article in Muscle & nerve, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Isaac Manzanera EsteveDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ling YanDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Huseyin KaragozDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-6546-4207
Ricardo Torres-GuzmanDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Sara ChakerDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-5259-0941
Barite GutamaDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ronald M CornelyDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Benjamin SavitzDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Andrew JamesDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0009-0007-8825-7124
Noah AlterDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Anthony HoangDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0009-0009-6062-2411
Anvith ReddyDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Erin AbottDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ping WangDepartment of Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, USA.
Kezia Sharon ChristopherDepartment of Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, USA.
Richard DortchDepartment of Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, USA.
Wesley ThayerDepartment of Plastic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Funding

Diffusion MRI Biomarkers of Peripheral Nerve TraumaR61NS127268 · NINDS · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI DORTCH, RICHARD, MAHAN, MARK · 2023 to 2024
$1.6M
Congressionally Directed Medical Research Programs W81XWH-22-1-048NINDS NIH HHS 5R61NS127268-02NINDS NIH HHS R61 NS127268
6 · The paper itself

Abstract

INTRODUCTION/

aimsNerve regeneration after injury must occur in a timely fashion to restore function. Current methods of assessment provide limited information following trauma, resulting in delayed management and suboptimal outcomes. In this study, we evaluated the ability of diffusion magnetic resonance imaging (MRI) and a mathematical model based on the Gompertz function to monitor nerve regeneration after injury and repair.

methodsSprague Dawley rats were assigned to two treatment groups (sham = 2, cut, immediate repair = 7), and in vivo diffusion tensor imaging (DTI) was performed every 2 weeks until 12 weeks post-surgery. Functional recovery was evaluated weekly over the same time period via the sciatic functional index (SFI).

resultsAfter injury, SFI and DTI-derived fractional anisotropy (FA) values exhibited similar longitudinal trends and distinctions in both sham and cut/repair (C/R) cohorts. FA values at the distal section displayed the highest correlation with behavioral indices at the region nearest to the injury (r = 0.84, p < 0.001), followed by FA values at the central section (r = 0.82, p < 0.001) and the section farthest from the injury (r = 0.70, p < 0.001). DISCUSSION: Findings suggest that automated analyses of FA profiles along the nerve may provide insights for distinguishing successful/unsuccessful nerve recovery. This tool, once proven in a larger-scale study, can provide clinicians with the needed tool to early diagnose nerve recovery and identify cases requiring a second repair surgery.

Indexed as

Diffusion Magnetic Resonance ImagingModels, TheoreticalNerve RegenerationSciatic NerveAnimalsAnisotropyDiffusion Tensor ImagingDisease Models, AnimalMaleRatsRats, Sprague-DawleyRecovery of Functionlongitudinal modelMRInerve recoveryperipheral nerve injuryprognosis

Identifiers

PMID41424212
PMCPMC12803670

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.