Literature DB >> 32221212

Diffusion Magnetic Resonance Imaging Predicts Peripheral Nerve Recovery in a Rat Sciatic Nerve Injury Model.

Angel F Farinas1, Isaac V Manzanera Esteve1, Alonda C Pollins1, Nancy L Cardwell1, Christodoulos Kaoutzanis1, Marlieke E Nussenbaum1, Mark D Does1, Richard D Dortch1, Galen Perdikis1, Wesley P Thayer1.   

Abstract

BACKGROUND: Nerve regeneration after an injury should occur in a timely fashion for function to be restored. Current methods cannot monitor regeneration prior to muscle reinnervation. Diffusion tensor imaging has been previously shown to provide quantitative indices after nerve recovery. The goal of this study was to validate the use of this technology following nerve injury via a series of rat sciatic nerve injury/repair studies.
METHODS: Sprague-Dawley rats were prospectively divided by procedure (sham, crush, or cut/repair) and time points (1, 2, 4, and 12 weeks after surgery). At the appropriate time point, each animal was euthanized and the sciatic nerve was harvested and fixed. Data were obtained using a 7-Tesla magnetic resonance imaging system. For validation, findings were compared to behavioral testing (foot fault asymmetry and sciatic function index) and cross-sectional axonal counting of toluidine blue-stained sections examined under light microscopy.
RESULTS: Sixty-three rats were divided into three treatment groups (sham, n = 21; crush, n = 23; and cut/repair, n = 19). Fractional anisotropy was able to differentiate between recovery following sham, crush, and cut/repair injuries as early as 2 weeks (p < 0.05), with more accurate differentiation thereafter. More importantly, the difference in anisotropy between distal and proximal regions recognized animals with successful and failed recoveries according to behavioral analysis, especially at 12 weeks. In addition, diffusion tension imaging-based tractography provided a visual representation of nerve continuity in all treatment groups.
CONCLUSIONS: Diffuse tensor imaging is an objective and noninvasive tool for monitoring nerve regeneration. Its use could facilitate earlier detection of failed repairs to potentially help improve outcomes.

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Year:  2020        PMID: 32221212      PMCID: PMC7270143          DOI: 10.1097/PRS.0000000000006638

Source DB:  PubMed          Journal:  Plast Reconstr Surg        ISSN: 0032-1052            Impact factor:   4.730


  24 in total

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Authors:  Susumu Mori; Jiangyang Zhang
Journal:  Neuron       Date:  2006-09-07       Impact factor: 17.173

2.  In vivo assessment of peripheral nerve regeneration by diffusion tensor imaging.

Authors:  Shinsuke Morisaki; Yuko Kawai; Masahiro Umeda; Mayumi Nishi; Ryo Oda; Hiroyoshi Fujiwara; Kei Yamada; Toshihiro Higuchi; Chuzo Tanaka; Mitsuhiro Kawata; Toshikazu Kubo
Journal:  J Magn Reson Imaging       Date:  2011-02-01       Impact factor: 4.813

3.  A simple technique for augmentation of axonal ingrowth into chondroitinase-treated acellular nerve grafts using nerve growth factor.

Authors:  Fernando Ovalle; Ashit Patel; Alonda Pollins; Jorge de la Torre; Luis Vasconez; Thomas R Hunt; R Pat Bucy; R Bruce Shack; Wesley P Thayer
Journal:  Ann Plast Surg       Date:  2012-05       Impact factor: 1.539

4.  Comparison of two electrophysiological methods for the assessment of progress in a rat model of nerve repair.

Authors:  Dong Han; Jiuzhou Lu; Lei Xu; Jianguang Xu
Journal:  Int J Clin Exp Med       Date:  2015-02-15

5.  A bioengineered peripheral nerve construct using aligned peptide amphiphile nanofibers.

Authors:  Andrew Li; Akishige Hokugo; Anisa Yalom; Eric J Berns; Nicholas Stephanopoulos; Mark T McClendon; Luis A Segovia; Igor Spigelman; Samuel I Stupp; Reza Jarrahy
Journal:  Biomaterials       Date:  2014-07-23       Impact factor: 12.479

6.  Principles of nerve repair in complex wounds of the upper extremity.

Authors:  Amy M Moore; I Janelle Wagner; Ida K Fox
Journal:  Semin Plast Surg       Date:  2015-02       Impact factor: 2.314

7.  Bridging the Gap: Engineered Porcine-derived Urinary Bladder Matrix Conduits as a Novel Scaffold for Peripheral Nerve Regeneration.

Authors:  Lyly Nguyen; Ashkan Afshari; Nathaniel D Kelm; Alonda C Pollins; R Bruce Shack; Mark D Does; Wesley P Thayer
Journal:  Ann Plast Surg       Date:  2017-06       Impact factor: 1.539

8.  [Study of peripheral nerve injury in trauma patients].

Authors:  Marina Lizeth Castillo-Galván; Fernando Maximiliano Martínez-Ruiz; Oscar de la Garza-Castro; Rodrigo Enrique Elizondo-Omaña; Santos Guzmán-López
Journal:  Gac Med Mex       Date:  2014 Nov-Dec       Impact factor: 0.302

9.  The results of secondary microsurgical repair of ulnar nerve injury.

Authors:  M Vastamäki; P K Kallio; K A Solonen
Journal:  J Hand Surg Br       Date:  1993-06

10.  Immediate Enhancement of Nerve Function Using a Novel Axonal Fusion Device After Neurotmesis.

Authors:  David Colton Riley; Richard B Boyer; Curt A Deister; Alonda C Pollins; Nancy L Cardwell; Nathaniel D Kelm; Mark D Does; Richard D Dortch; Ravinder Bamba; Robert Bruce Shack; Wesley P Thayer
Journal:  Ann Plast Surg       Date:  2017-12       Impact factor: 1.763

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  3 in total

1.  Assessment of Rat Sciatic Nerve Using Diffusion-Tensor Imaging With Readout-Segmented Echo Planar Imaging.

Authors:  Yueyao Chen; Zhongxian Pan; Fanqi Meng; Qian Xu; Leyu Huang; Xuejia Pu; Xuewen Yu; Yanglei Wu; Hanqing Lyu; Xiaofeng Lin
Journal:  Front Neurosci       Date:  2022-06-23       Impact factor: 5.152

2.  Functional, morphological and molecular characteristics in a novel rat model of spinal sacral nerve injury-surgical approach, pathological process and clinical relevance.

Authors:  Junyang Li; Shiqiang Li; Yu Wang; Aijia Shang
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

3.  Performance of Single-Shot Echo-Planar Imaging in Diffusion Tensor Imaging in Rat Sciatic Nerve Compared With Readout-Segmented Echo-Planar Imaging.

Authors:  Yueyao Chen; Zhongxian Pan; Fanqi Meng; Zhujing Li; Yuanming Hu; Xuewen Yu; Jinyun Gao; Yihao Guo; Hanqing Lyu; Xiaofeng Lin
Journal:  Front Neurosci       Date:  2022-05-12       Impact factor: 5.152

  3 in total

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