Literature DB >> 35147849

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

Kazuya Kikutani1, Shinichiro Ohshimo2, Takuma Sadamori1, Shingo Ohki1, Hiroshi Giga1, Junki Ishii1, Hiromi Miyoshi1, Kohei Ota1, Nobuaki Shime1.   

Abstract

Assessment of respiratory sounds by auscultation with a conventional stethoscope is subjective. We developed a continuous monitoring and visualization system that enables objectively and quantitatively visualizing respiratory sounds. We herein present two cases in which the system showed regional differences in the respiratory sounds. We applied our novel continuous monitoring and visualization system to evaluate respiratory abnormalities in patients with acute chest disorders. Respiratory sounds were continuously recorded to assess regional changes in respiratory sound volumes. Because we used this system as a pilot study, the results were not shown in real time and were retrospectively analyzed. Case 1 An 89-year-old woman was admitted to our hospital for sudden-onset respiratory distress and hypoxia. Chest X-rays revealed left pneumothorax; thus, we drained the thorax. After confirming that the pneumothorax had improved, we attached the continuous monitoring and visualization system. Chest X-rays taken the next day showed exacerbation of the pneumothorax. Visual and quantitative findings showed a decreased respiratory volume in the left lung after 3 h. Case 2 A 94-year-old woman was admitted to our hospital for dyspnea. Chest X-rays showed a large amount of pleural effusion on the right side. The continuous monitoring and visualization system visually and quantitatively revealed a decreased respiratory volume in the lower right lung field compared with that in the lower left lung field. Our newly developed continuous monitoring and visualization system enabled quantitatively and visually detecting regional differences in respiratory sounds in patients with pneumothorax and pleural effusion.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Case report; Monitoring; Pleural effusion; Pneumothorax; Respiratory sounds

Year:  2022        PMID: 35147849     DOI: 10.1007/s10877-022-00824-2

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  11 in total

Review 1.  Detection of pneumothorax visualized by computer analysis of bilateral respiratory sounds.

Authors:  Nobuhiro Hayashi
Journal:  Yonago Acta Med       Date:  2011-12-01       Impact factor: 1.641

2.  Acoustic analysis of neonatal breath sounds using digital stethoscope technology.

Authors:  Lindsay Zhou; Faezeh Marzbanrad; Ashwin Ramanathan; Davood Fattahi; Pramodkumar Pharande; Atul Malhotra
Journal:  Pediatr Pulmonol       Date:  2020-01-09

3.  Detection of intratracheal accumulation of thick secretions by using continuous monitoring of respiratory acoustic spectrum: a preliminary analysis.

Authors:  Young-Jin Moon; Allison J Bechtel; Sung-Hoon Kim; Jae-Won Kim; Robert H Thiele; Randal S Blank
Journal:  J Clin Monit Comput       Date:  2019-07-20       Impact factor: 2.502

Review 4.  Continuous Pulse Oximetry and Capnography Monitoring for Postoperative Respiratory Depression and Adverse Events: A Systematic Review and Meta-analysis.

Authors:  Thach Lam; Mahesh Nagappa; Jean Wong; Mandeep Singh; David Wong; Frances Chung
Journal:  Anesth Analg       Date:  2017-12       Impact factor: 5.108

5.  Accuracy of auscultation in the detection of haemopneumothorax.

Authors:  S C Chen; K J Chang; C Y Hsu
Journal:  Eur J Surg       Date:  1998-09

6.  Breath sound distribution images of patients with pneumonia and pleural effusion.

Authors:  Ram Mor; Igal Kushnir; Jean-Jacques Meyer; Joseph Ekstein; Issahar Ben-Dov
Journal:  Respir Care       Date:  2007-12       Impact factor: 2.258

7.  Assessment of breath sounds at birth using digital stethoscope technology.

Authors:  Ashwin Ramanathan; Faezeh Marzbanrad; Kenneth Tan; Fatema-Tuz Zohra; Mathieu Acchiardi; Robert Roseby; Ajay Kevat; Atul Malhotra
Journal:  Eur J Pediatr       Date:  2020-01-06       Impact factor: 3.183

8.  A novel system that continuously visualizes and analyzes respiratory sounds to promptly evaluate upper airway abnormalities: a pilot study.

Authors:  Kazuya Kikutani; Shinichiro Ohshimo; Takuma Sadamori; Hiroshi Giga; Shingo Ohki; Tsubasa Nishida; Satoshi Yamaga; Nobuaki Shime
Journal:  J Clin Monit Comput       Date:  2021-01-18       Impact factor: 2.502

Review 9.  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

10.  The correlation between the first heart sound and cardiac output as measured by using digital esophageal stethoscope under anaesthesia.

Authors:  Young Duck Shin; Kyoung Hoon Yim; Sang Hi Park; Yong Wook Jeon; Jin Ho Bae; Tae Soo Lee; Myoung Hwan Kim; Young Jin Choi
Journal:  Pak J Med Sci       Date:  2014-03       Impact factor: 1.088

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  1 in total

1.  Quantification of respiratory sounds by a continuous monitoring system can be used to predict complications after extubation: a pilot study.

Authors:  Kazuya Kikutani; Shinichiro Ohshimo; Takuma Sadamori; Shingo Ohki; Hiroshi Giga; Junki Ishii; Hiromi Miyoshi; Kohei Ota; Mitsuaki Nishikimi; Nobuaki Shime
Journal:  J Clin Monit Comput       Date:  2022-06-22       Impact factor: 2.502

  1 in total

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