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The acoustic characteristics of fine crackles predict honeycombing on high-resolution computed tomography.

Toshikazu FukumitsuYasushi ObaseYuji IshimatsuShota NakashimaHiroshi IshimotoNoriho SakamotoKosei NishitsujiShunpei ShiwaTomoya SakaiSueharu MiyaharaKazuto AshizawaHiroshi MukaeRyo Kozu
Published in: BMC pulmonary medicine (2019)
The acoustic properties of fine crackles distinguish the honeycombing from the non-honeycombing group. Furthermore, onset timing, number of crackles in the inspiratory phase, and F99 value of fine crackles were independently associated with the presence of honeycombing on HRCT. Thus, auscultation routinely performed in clinical settings combined with a respiratory sound analysis may be predictive of the presence of honeycombing on HRCT.
Keyphrases
  • air pollution
  • computed tomography
  • high resolution
  • magnetic resonance imaging
  • positron emission tomography
  • magnetic resonance