Literature DB >> 24031132

Detection of pneumothorax visualized by computer analysis of bilateral respiratory sounds.

Nobuhiro Hayashi1.   

Abstract

Pneumothorax is usually diagnosed based on the attenuation of respiratory sounds of the affected side on auscultation, but it requires a skilled technique and is limited to subjective evaluation. Thus, we designed a device which analyzes and converts the frequency of auscultatory sounds to numerical values with a computer. With this device, the bilateral sound pressure levels were compared between groups of 25 healthy subjects and 21 patients with pneumothorax to investigate the efficacy of the diagnosing tool of pneumothorax. While recording respiratory sounds of the bilateral precordial regions, the fast Fourier transform was applied with a frequency analysis software, power spectra of the auscultatory sounds were displayed in real-time, and the sound pressure level was compared between the bilateral sides. The difference was investigated at frequencies judged as less likely to be influenced by cardiac sounds (200-400 Hz). No difference was observed in the control group (n = 25, P > 0.05), but respiratory sound attenuation was detectable on the affected side in the pneumothorax group (n = 21, P < 0.01 each for the paired Student's t-test and Wilcoxon signed-rank test). When the cutoff value was 8 dB, the sensitivity and specificity as diagnostic tool of pneumothorax was 71.4% and 100%, respectively. This device would facilitate the detection of occult pneumothorax at accident scenes, in emergency rooms and in intensive care units.

Entities:  

Keywords:  fast Fourier transform; frequency analysis; pneumothorax; real-time monitor

Year:  2011        PMID: 24031132      PMCID: PMC3763794     

Source DB:  PubMed          Journal:  Yonago Acta Med        ISSN: 0513-5710            Impact factor:   1.641


  7 in total

1.  Pneumothorax detection using pulmonary acoustic transmission measurements.

Authors:  H A Mansy; T J Royston; R A Balk; R H Sandler
Journal:  Med Biol Eng Comput       Date:  2002-09       Impact factor: 2.602

2.  Pneumothorax detection using computerised analysis of breath sounds.

Authors:  H A Mansy; T J Royston; R A Balk; R H Sandler
Journal:  Med Biol Eng Comput       Date:  2002-09       Impact factor: 2.602

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Journal:  Comput Biol Med       Date:  2007-11-26       Impact factor: 4.589

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Journal:  Nihon Kyobu Shikkan Gakkai Zasshi       Date:  1994-12

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6.  The frequency and significance of thoracic injuries detected on abdominal CT scans of multiple trauma patients.

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7.  Occult traumatic pneumothorax: diagnostic accuracy of lung ultrasonography in the emergency department.

Authors:  Gino Soldati; Americo Testa; Sara Sher; Giulia Pignataro; Monica La Sala; Nicolò Gentiloni Silveri
Journal:  Chest       Date:  2007-10-09       Impact factor: 9.410

  7 in total
  4 in total

1.  Pneumothorax effects on pulmonary acoustic transmission.

Authors:  Hansen A Mansy; Robert A Balk; William H Warren; Thomas J Royston; Zoujun Dai; Ying Peng; Richard H Sandler
Journal:  J Appl Physiol (1985)       Date:  2015-05-28

2.  Regional respiratory sound abnormalities in pneumothorax and pleural effusion detected via respiratory sound visualization and quantification: case report.

Authors:  Kazuya Kikutani; Shinichiro Ohshimo; Takuma Sadamori; Shingo Ohki; Hiroshi Giga; Junki Ishii; Hiromi Miyoshi; Kohei Ota; Nobuaki Shime
Journal:  J Clin Monit Comput       Date:  2022-02-11       Impact factor: 2.502

3.  An in vitro acoustic analysis and comparison of popular stethoscopes.

Authors:  Daniel Weiss; Christine Erie; Joseph Butera; Ryan Copt; Glenn Yeaw; Mark Harpster; James Hughes; Deeb N Salem
Journal:  Med Devices (Auckl)       Date:  2019-01-15

4.  Hemopneumothorax detection through the process of artificial evolution - a feasibility study.

Authors:  Adir Sommer; Noy Mark; Gavriel D Kohlberg; Rafi Gerasi; Linn Wagnert Avraham; Ruth Fan-Marko; Arik Eisenkraft; Dean Nachman
Journal:  Mil Med Res       Date:  2021-04-25
  4 in total

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