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.
Similar content being viewed by others
Data availability
Not applicable.
Code availability
Not applicable.
References
Chen SC, Chang KJ, Hsu CY. Accuracy of auscultation in the detection of haemopneumothorax. Eur J Surg. 1998;164(9):643–5. https://doi.org/10.1080/110241598750005516.
Marques A, Bruton A, Barney A. Clinically useful outcome measures for physiotherapy airway clearance techniques: a review. Phys Therapy Rev. 2014;11(4):299–307. https://doi.org/10.1179/108331906x163441.
Tsai JZ, Chang ML, Yang JY, Kuo D, Lin CH, Kuo CD. Left-right asymmetry in spectral characteristics of lung sounds detected using a dual-channel auscultation system in healthy young adults. Sensors (Basel). 2017;17(6):1323. https://doi.org/10.3390/s17061323.
Pramono RXA, Bowyer S, Rodriguez-Villegas E. Automatic adventitious respiratory sound analysis: a systematic review. PLoS ONE. 2017;12(5):e0177926. https://doi.org/10.1371/journal.pone.0177926.
Moon YJ, Bechtel AJ, Kim SH, Kim JW, Thiele RH, Blank RS. Detection of intratracheal accumulation of thick secretions by using continuous monitoring of respiratory acoustic spectrum: a preliminary analysis. J Clin Monit Comput. 2020;34(4):763–70. https://doi.org/10.1007/s10877-019-00359-z.
Horimasu Y, Ohshimo S, Yamaguchi K, et al. A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: a proof-of-concept study. Medicine (Baltimore). 2021;100(7):e24738. https://doi.org/10.1097/MD.0000000000024738.
Zhou L, Marzbanrad F, Ramanathan A, Fattahi D, Pharande P, Malhotra A. Acoustic analysis of neonatal breath sounds using digital stethoscope technology. Pediatr Pulmonol. 2020;55(3):624–30. https://doi.org/10.1002/ppul.24633.
Ramanathan A, Marzbanrad F, Tan K, et al. Assessment of breath sounds at birth using digital stethoscope technology. Eur J Pediatr. 2020;179(5):781–9. https://doi.org/10.1007/s00431-019-03565-8.
Kikutani K, Ohshimo S, Sadamori T, et al. A novel system that continuously visualizes and analyzes respiratory sounds to promptly evaluate upper airway abnormalities: a pilot study. J Clin Monit Comput. 2021. https://doi.org/10.1007/s10877-020-00641-5.
Mor R, Kushnir I, Meyer JJ, Ekstein J, Ben-Dov I. Breath sound distribution images of patients with pneumonia and pleural effusion. Respir Care. 2007;52(12):1753–60.
Lam T, Nagappa M, Wong J, Singh M, Wong D, Chung F. Continuous pulse oximetry and capnography monitoring for postoperative respiratory depression and adverse events: a systematic review and meta-analysis. Anesth Analg. 2017;125(6):2019–29. https://doi.org/10.1213/ANE.0000000000002557.
Hayashi N. Detection of pneumothorax visualized by computer analysis of bilateral respiratory sounds. Yonago Acta Med. 2011;54(4):75–82.
Moon YJ, Kim SH, Park YS, Kim JM, Hwang GS. Quantitative analysis of an intraoperative digitalized esophageal heart sound signal to speculate on perturbed cardiovascular function. J Clin Med. 2019;8(5):715. https://doi.org/10.3390/jcm8050715.
Duck Shin Y, Hoon Yim K, Hi Park S, et al. The correlation between the first heart sound and cardiac output as measured by using digital esophageal stethoscope under anaesthesia. Pak J Med Sci. 2014;30(2):276–81.
Bickel A, Eitan A, Melnik D, et al. The use of pneumoperitoneum during laparoscopic surgery as a model to study pathophysiologic phenomena: the correlation of cardiac functionality with computerized acoustic indices–preliminary data. J Laparoendosc Adv Surg Tech A. 2012;22(4):349–54. https://doi.org/10.1089/lap.2011.0360.
Mohamed N, Kim HS, Kang KM, Mohamed M, Kim SH, Kim JG. Heart and lung sound measurement using an esophageal stethoscope with adaptive noise cancellation. Sensors (Basel). 2021;21(20):6757. https://doi.org/10.3390/s21206757.
Acknowledgements
We thank Pioneer Corporation, Nihon Kohden Corporation, and Tokyo Denki University for developing the novel continuous visualization and analysis system used to assess respiratory sounds in this study. We thank Traci Raley, MS, ELS, from Edanz Group (https://en-author-services.edanzgroup.com/ac) for editing a draft of this manuscript.
Funding
This work was supported by the Japan Agency for Medical Research and Development (AMED).
Author information
Authors and Affiliations
Contributions
KK collected the patients’ data and drafted the manuscript. SO contributed to the study conception, analyzed the data, and supervised the manuscript drafting. TS contributed to the study conception and constructed the project team. SO, HG, JI and HM collected the patients’ data. NS organized and supervised the entire project. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors have no potential conflicts of interest to declare.
Ethical approval
This case report was approved by the institutional ethics committee (Hiroshima University, approval number E-784-4).
Informed consent
Consent for study participation was obtained from the patients or their closest relatives.
Consent for publication
Written informed consent for publication was obtained from the patients or their closest relatives.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kikutani, K., Ohshimo, S., Sadamori, T. et al. Regional respiratory sound abnormalities in pneumothorax and pleural effusion detected via respiratory sound visualization and quantification: case report. J Clin Monit Comput 36, 1761–1766 (2022). https://doi.org/10.1007/s10877-022-00824-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10877-022-00824-2