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Research Article| Volume 37, ISSUE 2, P187-193, March 2023

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To Explore the Changes and Differences of Microstructure of Vocal Fold in Vocal Fold Paralysis and Cricoarytenoid Joint Dislocation by Diffusion Tensor Imaging

  • Jie Cai
    Affiliations
    School of Medicine, Xiamen University, Xiamen, Fujian, China
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  • Young Jin Kim
    Affiliations
    Department of Surgery Division of Otolaryngology-Head and Neck Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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  • Xinlin Xu
    Affiliations
    Department of Voice, Zhongshan Hospital, Xiamen University, Xiamen, Fujian, China
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  • Yanli Ma
    Affiliations
    Department of Voice, Zhongshan Hospital, Xiamen University, Xiamen, Fujian, China
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  • Austin Scholp
    Affiliations
    Department of Surgery Division of Otolaryngology-Head and Neck Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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  • Jack J. Jiang
    Affiliations
    Department of Surgery Division of Otolaryngology-Head and Neck Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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  • Ting Liu
    Correspondence
    Ting Liu, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, 4221-117 Xiangan South Road, Xiamen, Fujian 361004, China.
    Affiliations
    State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, Fujian, China
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  • Peiyun Zhuang
    Correspondence
    Address correspondence and reprint requests to Peiyun Zhuang, Department of Voice, Zhongshan Hospital, Xiamen University, 201-209 Hubin South Road, Xiamen, Fujian 361004, China.
    Affiliations
    Department of Voice, Zhongshan Hospital, Xiamen University, Xiamen, Fujian, China
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Published:December 31, 2020DOI:https://doi.org/10.1016/j.jvoice.2020.12.016

      Summary

      Objective

      The diffusion characteristics of water molecules were measured in the vocal folds of canines exhibiting unilateral vocal fold paralysis and unilateral cricoarytenoid joint dislocation. These characteristics were used in conjunction with a histological examination of the microstructural changes of vocal fold muscle fibers to explore the feasibility of diffusion tensor imaging (DTI) in distinguishing unilateral vocal fold paralysis and unilateral cricoarytenoid joint dislocation as well as evaluating microstructural changes.

      Methods

      Ten beagles were randomly divided into three groups: four in the unilateral vocal fold paralysis group, four in the unilateral cricoarytenoid joint dislocation group, and two in the normal group. Unilateral recurrent laryngeal nerve resection was performed in the vocal fold paralysis group. Unilateral cricoarytenoid joint dislocation surgery was performed in the dislocation group. No intervention was performed in the normal group. Four months postintervention, the larynges were excised and put into a magnetic resonance imaging (MRI) system (9.4T BioSpec MRI, Bruker, German) for scanning, followed by an analysis of diffusion parameters among the different groups for statistical significance. After MRI scanning, the vocal folds were cut into sections, stained with hematoxylin and eosin, and scanned digitally. The mean cross-sectional area of muscle fibers, and the mean diameter of muscle fibers in the vocal folds were calculated by target detection and extraction technology. Mean values of each measurement were used to compare the differences among the three groups. Pearson correlation analysis was performed on the DTI parameters and the results from histological section extraction.

      Results

      The paralysis group had significantly higher Fractional Anisotropy (FA) compared to the dislocation group and normal group (P = 0.004). The paralysis group also had a significantly lower Tensor Trace value compared to the dislocation group and normal group (P = 0.000). The average cross-sectional area of vocal fold muscle fibers in the paralysis group was significantly smaller than the dislocation group and normal group (P = 0.000). Pearson correlation analysis yielded values of, r = -0.785, P = 0.01 between the average cross-sectional area of vocal muscle fibers and FA, and values of r = 0.881, P = 0.00 between Tensor Trace and the average cross-sectional area of vocal muscle.

      Conclusion

      FA and Tensor Trace can be used as effective parameters to reflect the changes of microstructure in vocal fold paralysis and cricoarytenoid joint dislocation. DTI is an objective and quantitative method to effectively evaluate unilateral vocal fold paralysis and unilateral cricoarytenoid joint dislocation, also capable of noninvasively evaluating vocal fold muscle fiber microstructure.

      Key words

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      REFERENCES

        • Saigusa H
        • Kokawa T
        • Aino I
        • et al.
        Arytenoid dislocation: a new diagnostic and treatment approach.
        J Nippon Med Sch. 2003; 70: 382-383https://doi.org/10.1272/jnms.70.382
        • Rubin AD
        • Sataloff RT
        Vocal fold paresis and paralysis.
        Otolaryngol Clin North Am. 2007; 40 (viii-ix): 1109-1131https://doi.org/10.1016/j.otc.2007.05.012
        • Ysunza-Rivera A
        • Landeros L
        • Pamplona MC
        • et al.
        [The role of electromyography in cases of vocal cord paralysis].
        Gac Med Mex. 2008; 144: 303-308https://doi.org/10.1159/000077226
      1. H Hiramatsu, R Tokashiki, M Kitamura, et al. New approach to diagnose arytenoid dislocation and subluxation using three-dimensional computed tomography, Eur Arch Otorhinolaryngol. 267:1893-–903. https://doi.org/10.1007/s00405-010-1300-5

        • Sataloff RT
        • Bough ID
        • Spiegel JR
        Arytenoid dislocation: diagnosis and treatment.
        Laryngoscope. 2009; 104: 1353-1361https://doi.org/10.1288/00005537-199411000-00007
        • Heemskerk AM
        • Strijkers GJ
        • Drost MR
        • et al.
        Skeletal muscle degeneration and regeneration after femoral artery ligation in mice: monitoring with diffusion MR imaging.
        Radiology. 2007; 243: 413-421https://doi.org/10.1148/radiol.2432060491
        • Zaraiskaya T
        • Kumbhare D
        • Noseworthy MD
        Diffusion tensor imaging in evaluation of human skeletal muscle injury.
        J Magn Reson Imaging. 2006; 24: 402-408https://doi.org/10.1002/jmri.20651
        • Saotome T
        • Sekino M
        • Eto F
        • et al.
        Evaluation of diffusional anisotropy and microscopic structure in skeletal muscles using magnetic resonance.
        Magn Reson Imaging. 2006; 24: 19-25https://doi.org/10.1016/j.mri.2005.09.009
        • Basser PJ
        • Jones DK
        Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review.
        NMR Biomed. 2002; 15: 456-467https://doi.org/10.1002/nbm.783
        • Mukherjee P
        • Berman JI
        • Chung SW
        • et al.
        Diffusion tensor MR imaging and fiber tractography: theoretic underpinnings.
        AJNR Am J Neuroradiol. 2008; 29: 632-641https://doi.org/10.3174/ajnr.A1051
        • Mukherjee P
        • Chung SW
        • Berman JI
        • et al.
        Diffusion tensor MR imaging and fiber tractography: technical considerations.
        AJNR Am J Neuroradiol. 2008; 29: 843-852https://doi.org/10.3174/ajnr.A1052
        • Alexander DC
        A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features.
        Magn Reson Med. 2008; 60: 439-448https://doi.org/10.1002/mrm.21646
        • Bihan D Le
        • Mangin JF
        • Poupon C
        • et al.
        Diffusion tensor imaging: concepts and applications.
        J Magn Reson Imaging. 2001; 13: 534-546https://doi.org/10.1002/jmri.1076
        • Bammer R
        • Acar B
        • Moseley ME
        In vivo MR tractography using diffusion imaging.
        Eur J Radiol. 2003; 45: 223-234https://doi.org/10.1016/S0720-048X(02)00311-X
        • Zhuang P
        • Nemcek S
        • Surender K
        • et al.
        Differentiating arytenoid dislocation and recurrent laryngeal nerve paralysis by arytenoid movement in laryngoscopic video.
        Otolaryngol Head Neck Surg. 2013; 149: 451-456https://doi.org/10.1177/0194599813491222
        • O'Connell Ferster AP
        • Ferster MC
        • Glatthorn H
        • et al.
        detection of arytenoid dislocation using pixel-valued cuneiform movement.
        J Voice. 2018; (S0892199717305398)https://doi.org/10.1016/j.jvoice.2017.12.009
        • Zhang J
        • Zhang G
        • Morrison B
        • et al.
        Magnetic resonance imaging of mouse skeletal muscle to measure denervation atrophy.
        Exp Neurol. 2008; 212: 448-457https://doi.org/10.1016/j.expneurol.2008.04.033
        • Fieremans E
        • Lemberskiy G
        • Veraart J
        • et al.
        In vivo measurement of membrane permeability and myofiber size in human muscle using time-dependent diffusion tensor imaging and the random permeable barrier model.
        NMR Biomed. 2017; 30https://doi.org/10.1016/j.expneurol.2008.04.033
        • McMillan AB
        • Shi D
        • Pratt SJP
        • et al.
        Diffusion tensor MRI to assess damage in healthy and dystrophic skeletal muscle after lengthening contractions.
        J Biomed Biotechnol. 2011; 2011 (970726)https://doi.org/10.1155/2011/970726
        • Liu LS
        • Zheng ZZ
        • Yuan HS
        Significance of diffusion tensor imaging of vastus medialis blique in recurrent patellar dislocation.
        Chin Med J (Engl). 2017; 130: 642-646https://doi.org/10.4103/0366-6999.201607
        • Lansdown DA
        • Ding Z
        • Wadington M
        • et al.
        Quantitative diffusion tensor MRI-based fiber tracking of human skeletal muscle.
        J Appl Physiol. 1985; 103: 673-681https://doi.org/10.1152/japplphysiol.00290.2007
      2. Li K, Dortch RD, Welch EB, et al. Multi-parametric MRI characterization of healthy human thigh muscles at 3.0 T - relaxation, magnetization transfer, fat/water, and diffusion tensor imaging, Nmr in Biomedicine. 271:070–1084. https://doi.org/10.1002/nbm.3159

        • Hara Y
        • Ikoma K
        • Kido M
        • et al.
        Diffusion tensor imaging assesses triceps surae dysfunction after achilles tenotomy in rats.
        J Magn Reson Imaging. 2015; 41: 1541-1548https://doi.org/10.1002/jmri.24707
        • Bai Y
        • Xu W
        • Hu R
        • et al.
        Degeneration and regeneration characteristics of nerves and muscles after recurrent laryngeal nerve injury.
        Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2017; 31: 932-936https://doi.org/10.13201/j.issn.1001-1781.2017.12.009
        • Shindo ML
        • Herzon GD
        • Hanson DG
        • et al.
        Effects of denervation on laryngeal muscles: a canine model.
        Laryngoscope. 1992; 102: 663-669https://doi.org/10.1288/00005537-199206000-00012
        • Kobayashi J
        • Yumoto E
        • Hyodo M
        • et al.
        Two-dimensional analysis of vocal fold vibration in unilaterally atrophied larynges.
        The Laryngoscope. 2010; 110https://doi.org/10.1097/00005537-200003000-00022