Literature DB >> 14743899

Crackle analysis for chest auscultation and comparison with high-resolution CT findings.

Takeo Kawamura1, Tsuneo Matsumoto, Nobuyuki Tanaka, Shoji Kido, Zhongwei Jiang, Naofumi Matsunaga.   

Abstract

PURPOSE: The purpose of our study was to clarify the correlation between respiratory sounds and the high-resolution CT (HRCT) findings of lung diseases.
MATERIALS AND METHODS: Respiratory sounds were recorded using a stethoscope in 41 patients with crackles. All had undergone inspiratory and expiratory CT. Subjects included 18 patients with interstitial pneumonia and 23 without interstitial pneumonia. Two parameters, two-cycle duration (2CD) and initial deflection width (IDW) of the "crackle," were induced by time-expanded waveform analysis. Two radiologists independently assessed 11 HRCT findings. An evaluation was carried out to determine whether there was a significant difference in the two parameters between the presence and absence of each HRCT finding.
RESULTS: The two parameters of crackles were significantly shorter in the interstitial pneumonia group than the non-interstitial pneumonia group. Ground-glass opacity, honeycombing, lung volume reduction, traction bronchiectasis, centrilobular nodules, emphysematous change, and attenuation and volume change between inspiratory and expiratory CT were correlated with one or two parameters in all patients, whereas the other three findings were not. Among the interstitial pneumonia group, traction bronchiectasis, emphysematous change, and attenuation and volume change between inspiratory and expiratory CT were significantly correlated with one or two parameters.
CONCLUSION: Abnormal respiratory sounds were correlated with some HRCT findings.

Entities:  

Mesh:

Year:  2003        PMID: 14743899

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  5 in total

1.  Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease.

Authors:  Daniel Sánchez Morillo; Antonio León Jiménez; Sonia Astorga Moreno
Journal:  J Am Med Inform Assoc       Date:  2013-02-08       Impact factor: 4.497

2.  Analysis of respiratory sounds: state of the art.

Authors:  Sandra Reichert; Raymond Gass; Christian Brandt; Emmanuel Andrès
Journal:  Clin Med Circ Respirat Pulm Med       Date:  2008-05-16

3.  Automated analysis of crackles in patients with interstitial pulmonary fibrosis.

Authors:  B Flietstra; N Markuzon; A Vyshedskiy; R Murphy
Journal:  Pulm Med       Date:  2010-12-21

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

Authors:  Toshikazu Fukumitsu; Yasushi Obase; Yuji Ishimatsu; Shota Nakashima; Hiroshi Ishimoto; Noriho Sakamoto; Kosei Nishitsuji; Shunpei Shiwa; Tomoya Sakai; Sueharu Miyahara; Kazuto Ashizawa; Hiroshi Mukae; Ryo Kozu
Journal:  BMC Pulm Med       Date:  2019-08-17       Impact factor: 3.317

5.  Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0.

Authors:  E Andrès; R Gass; A Charloux; C Brandt; A Hentzler
Journal:  J Med Life       Date:  2018 Apr-Jun
  5 in total

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