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성대진동검사의 최신 지견

Recent Advances in Examination of Vocal Fold Vibration

  • 이진춘 (부산대학교 의과대학 이비인후과학교실) ;
  • 배인호 (고신대학교 언어치료학과)
  • Lee, Jin-Choon (Department of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Pusan National University) ;
  • Bae, Inho (Department of Speech & Language Pathology, Kosin University)
  • 투고 : 2020.05.12
  • 심사 : 2020.06.09
  • 발행 : 2021.04.30

초록

Human vocal cords vibrate as quickly as 100-250 times per second, so it is impossible to observe them with normal endoscopic diagnostic equipment. High-speed videolaryngoscopy (HSV) allows the visualization of non-periodic vibratory motion of vocal fold beyond the limitation of videostroboscopy. New developed post-processing methods that converts HSV to two-dimensional videokymography (2D VKG) using U-medical image-processing software can provide quantitative information on vocal fold mucosa vibration. Multifunctional laryngeal examination system is composed of 3 kinds of examinations such as HSV, 2D scanning digital kymography (2D DKG) and line scanning digital kymography (DKG). Evaluation of entire vocal cord vibratory pattern in each cord is possible using 2D DKG and a faster and more reliable quantitative information can be obtained. As this system is used in clinical and research, it is expected to bring much advances to the diagnosis of voice disorders. In this review, I will introduce the principles and advantages on examination of the vocal fold vibration, which is in the spotlight recently, and proceed with the literature review.

키워드

과제정보

This work was supported by a 2-Year Research Grant of Pusan National University.

참고문헌

  1. Verdonck-de Leeuw IM, Festen JM, Mahieu HF. Deviant vocal fold vibration as observed during videokymography: the effect on voice quality. J Voice 2001;15(3):313-22. https://doi.org/10.1016/S0892-1997(01)00033-9
  2. Cha W, Wang SG, Jang JY, Kim GH, Lee YW. Post-processing of high-speed video-laryngoscopic images to two-dimensional scanning digital kymographic images. J Korean Soc Laryngol Phoniatr Logop 2017;28(2):89-95. https://doi.org/10.22469/jkslp.2017.28.2.89
  3. Kang DH, Wang SG, Park HJ, Lee JC, Jeon GR, Choi IS, et al. Realtime simultaneous DKG and 2D DKG using high-speed digital camera. J Voice 2017;31(2):247.e1-7. https://doi.org/10.1016/j.jvoice.2016.08.005
  4. Mehta DD, Deliyski DD, Hillman RE. Commentary on why laryngeal stroboscopy really works: clarifying misconceptions surrounding Talbot's law and the persistence of vision. J Speech Lang Hear Res 2010; 53(5):1263-7. https://doi.org/10.1044/1092-4388(2010/09-0241)
  5. Simon LL, Merz T, Dubuis S, Lieb A, Hungerbuhler K. Insitu monitoring of pharmaceutical and specialty chemicals crystallization processes using endoscopy-stroboscopy and multivariate image analysis. Chem Eng Res Des 2012;90(11):1847-55.
  6. Lee JC, Lee BJ, Wang SG, Roh JH, Kwon SB, Jo CW. Usefullness of the vibration pick-up in detection of pitch for synchronization of laryngeal stroboscopy. J Korean Soc Laryngol Phoniatr Logop 2007;18(1):26-32.
  7. Mehta DD, Hillman RE. Current role of stroboscopy in laryngeal imaging. Curr Opin Otolaryngol Head Neck Surg 2012;20(6):429-36. https://doi.org/10.1097/MOO.0b013e3283585f04
  8. Deliyski DD, Petrushev PP, Bonilha HS, Gerlach TT, Martin-Harris B, Hillman RE. Clinical implementation of laryngeal high-speed video-endoscopy: challenges and evolution. Folia Phoniatr Logop 2008;60:33-44. https://doi.org/10.1159/000111802
  9. Krausert CR, Olszewski AE, Taylor LN, McMurray JS, Dailey SH, Jiang JJ. Mucosal wave measurement and visualization techniques. J Voice 2011;25:395-405. https://doi.org/10.1016/j.jvoice.2010.02.001
  10. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara KI, Nito T, Tayama N, et al. Quantification of vocal fold vibration in various laryngeal disorders using high-speed digital imaging. J Voice 2016;30(2):205-14. https://doi.org/10.1016/j.jvoice.2015.04.016
  11. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara KI, Nito T, Tayama N, et al. Characterization of vocal fold vibration in sulcus vocalis using high-speed digital imaging. J Speech Lang Hear Res 2017;60(1):24-37. https://doi.org/10.1044/2016_JSLHR-S-14-0285
  12. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara KI, Nito T, Tayama N, et al. Visualization and estimation of vibratory disturbance in vocal fold scar using high-speed digital imaging. J Voice 2016;30(4):493-500. https://doi.org/10.1016/j.jvoice.2015.07.003
  13. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara KI, Nito T, Tayama N. Quantitative analysis of vocal fold vibration in vocal fold paralysis with the use of high-speed digital imaging. J Voice 2016;30(6):766.e13-22. https://doi.org/10.1016/j.jvoice.2015.10.015
  14. Sekimoto S, Tsunoda K, Kaga K, Makiyama K, Tsunoda A, Kondo K, et al. Commercially available high-speed system for recording and monitoring vocal fold vibrations. Acta Otolaryngol 2009;129(12):1524-6.
  15. Bonilha HS, Deliyski DD, Gerlach TT. Phase asymmetries in normophonic speakers: visual judgments and objective findings. Am J Speech Lang Pathol 2008;17(4):367-76. https://doi.org/10.1044/1058-0360(2008/07-0059)
  16. Tigges M, Wittenberg T, Mergell P, Eysholdt U. Imaging of vocal fold vibration by digital multi-plane kymography. Comput Med Imaging Graph 1999;23(6):323-30. https://doi.org/10.1016/S0895-6111(99)00030-0
  17. Svec JG, Sram F, Schutte HK. Videokymography. In: Fried M, Ferlito A, editors. The Larynx. 3rd ed. San Diego: Plural Publishing;2009. p. 253-71.
  18. Svec JG, Sram F, Schutte HK. Videokymography in voice disorders: what to look for?. Ann Otol Rhinol Laryngol 2007;116(3):172-80. https://doi.org/10.1177/000348940711600303
  19. Qiu Q, Schutte HK, Gu L, Yu Q. An automatic method to quantify the vibration properties of human vocal folds via videokymography. Folia Phoniatr Logop 2003;55(3):128-36. https://doi.org/10.1159/000070724
  20. Wang SG, Park HJ, Lee BJ, Lee SM, Ko B, Lee SM, et al. A new videokymography system for evaluation of the vibration pattern of entire vocal folds. Auris Nasus Larynx 2016;43(3):315-21. https://doi.org/10.1016/j.anl.2015.10.002
  21. Bae IH, Wang SG, Kwon SB, Kim ST, Sung ES, Lee JC. Clinical application of two-dimensional scanning digital kymography in discrimination of diplophonia. J Speech Lang Hear Res 2019;62(10):3643-54.