Misc.

Aug, 2013

Cochlin-tomoprotein (CTP) detection test identified perilymph leakage preoperatively in revision stapes surgery

AURIS NASUS LARYNX
  • Yuko Kataoka
  • ,
  • Tetsuo Ikezono
  • ,
  • Kunihiro Fukushima
  • ,
  • Koji Yuen
  • ,
  • Yukihide Maeda
  • ,
  • Akiko Sugaya
  • ,
  • Kazunori Nishizaki

Volume
40
Number
4
First page
422
Last page
424
Language
English
Publishing type
DOI
10.1016/j.anl.2012.08.001
Publisher
ELSEVIER SCI LTD

Perilymphatic fistula (PLF) is defined as an abnormal leakage between perilymph from the labyrinth to the middle ear. Symptoms include hearing loss, tinnitus, and vertigo. The standard mode of PLF detection is intraoperative visualization of perilymph leakage and fistula, which ostensibly confirms the existence of PLF. Other possible methods of diagnosis include confirmation of pneumolabyrinth via diagnostic imaging. Recently, a cochlin-tomoprotein (CTP) detection test has been developed that allows definitive diagnosis of PLF-related hearing loss.
We report the case of a 45-year-old man who presented with right-sided tinnitus, hearing loss, and dizziness 30 years after stapes surgery. Middle ear lavage was performed after myringotomy. A preoperative diagnosis of PLF was reached using the CTP detection test. Intraoperative observations included a necrotic long process of the incus, displaced wire piston, and fibrous tissue in the oval window. Perilymph leakage was not evident. The oval window was closed with fascia, and vertigo disappeared within 2 weeks postoperatively. When PLF is suspected after stapes surgery, the CTP detection test can be a useful, highly sensitive, and less invasive method for preoperative diagnosis. (C) 2012 Elsevier Ireland Ltd. All rights reserved.

Link information
DOI
https://doi.org/10.1016/j.anl.2012.08.001
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000319181100018&DestApp=WOS_CPL
ID information
  • DOI : 10.1016/j.anl.2012.08.001
  • ISSN : 0385-8146
  • Web of Science ID : WOS:000319181100018

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