Literature DB >> 19443991

Evaluation of the usefulness of spectral analysis of inspiratory lung sounds recorded with phonopneumography in patients with interstitial pneumonia.

Hiroshi Ono1, Yasuyuki Taniguchi, Kinya Shinoda, Tetsu Sakamoto, Shoji Kudoh, Akihiko Gemma.   

Abstract

PURPOSE: We investigated whether spectral analysis with fast Fourier transform (FFT) of inspiratory lung sounds is useful in the diagnosis and evaluation of the severity of interstitial pneumonia (IP). SUBJECTS AND METHODS: The study population included 10 healthy volunteers (healthy group) and 21 patients with IP (IP group). We generated inspiratory averaged linear intensities using FFT and determined frequency at maximum sound intensity (Fmax), and quartile frequencies (f25, f50, and f75), compared these values between the groups, generated receiver operating characteristic curves to compare the detectability of IP between the indices and auscultation in all cases, and tested for the correlation of these indices with pulmonary function tests and the fibrosis scores from high-resolution computed tomography images assessed by 3 observers.
RESULTS: Both f50 and f75 were significantly higher in the IP group, but their ability to detect IP was inferior to that of auscultation. They had negative correlations with percent vital capacity and had positive correlations with the fibrosis scores calculated by the 3 different observers. DISCUSSION: These results were considered to reflect the presence of fine crackles and alterations in pulmonary sound-conduction characteristics caused by IP and indicate that spectral analysis of lung sounds is useful in the diagnosis and evaluation of the severity of IP, although future study is necessary to improve its utility.

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Year:  2009        PMID: 19443991     DOI: 10.1272/jnms.76.67

Source DB:  PubMed          Journal:  J Nippon Med Sch        ISSN: 1345-4676            Impact factor:   0.920


  6 in total

Review 1.  Computerized lung sound analysis as diagnostic aid for the detection of abnormal lung sounds: a systematic review and meta-analysis.

Authors:  Arati Gurung; Carolyn G Scrafford; James M Tielsch; Orin S Levine; William Checkley
Journal:  Respir Med       Date:  2011-06-14       Impact factor: 3.415

Review 2.  Automatic adventitious respiratory sound analysis: A systematic review.

Authors:  Renard Xaviero Adhi Pramono; Stuart Bowyer; Esther Rodriguez-Villegas
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

3.  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

4.  A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study.

Authors:  Yasushi Horimasu; Shinichiro Ohshimo; Kakuhiro Yamaguchi; Shinjiro Sakamoto; Takeshi Masuda; Taku Nakashima; Shintaro Miyamoto; Hiroshi Iwamoto; Kazunori Fujitaka; Hironobu Hamada; Takuma Sadamori; Nobuaki Shime; Noboru Hattori
Journal:  Medicine (Baltimore)       Date:  2021-02-19       Impact factor: 1.817

Review 5.  The coming era of a new auscultation system for analyzing respiratory sounds.

Authors:  Yoonjoo Kim; YunKyong Hyon; Sunju Lee; Seong-Dae Woo; Taeyoung Ha; Chaeuk Chung
Journal:  BMC Pulm Med       Date:  2022-03-31       Impact factor: 3.317

6.  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
  6 in total

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