Quantitative analysis of lung sounds for monitoring idiopathic pulmonary fibrosis: a prospective pilot study
Open accessAbstract
Accurate monitoring of disease progression in idiopathic pulmonary fibrosis (IPF) is crucial for predicting prognosis and optimising management, including the initiation of therapies, the appropriate timing of supportive care and the prompt referral for lung transplantation. While forced vital capacity (FVC) via spirometry has been accepted as the most feasible and reliable tool to assess the deterioration in these patients in clinical practice as well as in randomised controlled trials [1, 2], in recent years both visual evaluation and computer-based analysis of high-resolution computed tomography (HRCT) parenchymal patterns have been shown to correlate with disease severity based on FVC and predict outcome in several fibrotic lung diseases, including IPF [3–5]. Quantitative analysis of lung sounds may represent a tool for monitoring patients with idiopathic pulmonary fibrosis
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A recent study by Sgalla and colleagues showed that a set of acoustic features of lung sounds represent a reproducible metric which significantly changes over a 12-month period and is associated with established measures of disease severity and clinical deterioration.
“A recent study by Sgalla and colleagues combining longitudinal recording of lung sounds with MatLab-based algorithms, showed that a set of acoustic features of lung sounds represent a reproducible metric which significantly changes over the course of a 12-month period and is associated with established measures of disease severity and clinical deterioration (Sgalla et al., 2019”
From Pulmonary fibrosis: Emerging diagnostic and therapeutic strategies (2023) · cites this paper as Sgalla et al., 2019
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Pulmonary fibrosis: Emerging diagnostic and therapeutic strategies
Selvarajah, B., Platé, M., & Chambers, R. C. (2023) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2023.101227 · Cited by 57 · see citing works
- Authors
- Sgalla, G., Larici, A. R., Sverzellati, N., Bartholmai, B., Walsh, S. L. F., Nikolic, D., Barney, A., Fletcher, S., Jones, M., Davies, D. D., & Richeldi, L.
- Affiliations
- Università Cattolica del Sacro Cuore (IT)
- University of Parma (IT)
- Mayo Clinic (US)
- King's College Hospital (GB)
- University of Southampton (GB)
- NIHR Southampton Biomedical Research Centre (GB)
- ORCID
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2018-12-21
- Volume
- 53
- Issue
- 3
- Pages
- 1802093
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2901561942
- Cited by
- 15
- References
- 13
- Citations by year
- 2024: 1 · 2023: 6 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 2
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Respiratory Journal (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Funders
- NIHR Respiratory Biomedical Research Unit Southampton, University Hospital of Southampton NHS Trust
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Phonocardiography and Auscultation Techniques
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Occupational and environmental lung diseases
- Keywords
- idiopathic pulmonary fibrosis, lung sounds, quantitative analysis, disease progression monitoring, forced vital capacity, high-resolution computed tomography, prognosis
- MeSH terms
- Aged, Auscultation, Female, Humans, Male, Middle Aged, Monitoring, Physiologic, Pilot Projects, Prospective Studies, Respiratory Sounds, ROC Curve, Sound, Idiopathic Pulmonary Fibrosis
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