Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases secondary to rheumatoid arthritis
Copyright © 2018 Elsevier Ltd. All rights reserved..
The diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis is fundamental to improving their survival rate. In particular, the average survival time of patients affected by rheumatoid arthritis with pulmonary implications is approximately 3 years. The gold standard for confirming the diagnosis of this disease is computer tomography. However, it is very difficult to raise diagnosis suspicion because the symptoms of the disease are extremely common in elderly people. The detection of the so-called velcro crackle in lung sounds can effectively raise the suspicion of an interstitial disease and speed up diagnosis. However, this task largely relies on the experience of physicians and has not yet been standardized in clinical practice. The diagnosis of interstitial lung diseases based on thorax auscultation still represents an underexplored field in the study of rheumatoid arthritis. In this study, we investigate the problem of the automatic detection of velcro crackle in lung sounds. In practice, the patient is auscultated using a digital stethoscope and the lung sounds are saved to a file. The acquired digital data are then analysed using a suitably developed algorithm. In particular, the proposed solution relies on the empirical observation that the audio bandwidth associated with velcro crackle is larger than that associated with healthy breath sounds. Experimental results from a database of 70 patients affected by rheumatoid arthritis demonstrate that the developed tool can outperform specialized physicians in terms of diagnosing pulmonary disorders. The overall accuracy of the proposed solution is 90.0%, with negative and positive predictive values of 95.0% and 83.3%, respectively, whereas the reliability of physician diagnosis is in the range of 60-70%. The devised algorithm represents an enabling technology for a novel approach to the diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2018 |
|---|---|
| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:96 |
|---|---|
| Enthalten in: |
Computers in biology and medicine - 96(2018) vom: 01. Mai, Seite 91-97 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Pancaldi, Fabrizio [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Detection |
|---|
| Anmerkungen: |
Date Completed 13.05.2019 Date Revised 13.05.2019 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1016/j.compbiomed.2018.03.006 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM282064052 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM282064052 | ||
| 003 | DE-627 | ||
| 005 | 20231225033052.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2018 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.compbiomed.2018.03.006 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n0940.xml |
| 035 | |a (DE-627)NLM282064052 | ||
| 035 | |a (NLM)29550468 | ||
| 035 | |a (PII)S0010-4825(18)30057-X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Pancaldi, Fabrizio |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases secondary to rheumatoid arthritis |
| 264 | 1 | |c 2018 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 13.05.2019 | ||
| 500 | |a Date Revised 13.05.2019 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2018 Elsevier Ltd. All rights reserved. | ||
| 520 | |a The diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis is fundamental to improving their survival rate. In particular, the average survival time of patients affected by rheumatoid arthritis with pulmonary implications is approximately 3 years. The gold standard for confirming the diagnosis of this disease is computer tomography. However, it is very difficult to raise diagnosis suspicion because the symptoms of the disease are extremely common in elderly people. The detection of the so-called velcro crackle in lung sounds can effectively raise the suspicion of an interstitial disease and speed up diagnosis. However, this task largely relies on the experience of physicians and has not yet been standardized in clinical practice. The diagnosis of interstitial lung diseases based on thorax auscultation still represents an underexplored field in the study of rheumatoid arthritis. In this study, we investigate the problem of the automatic detection of velcro crackle in lung sounds. In practice, the patient is auscultated using a digital stethoscope and the lung sounds are saved to a file. The acquired digital data are then analysed using a suitably developed algorithm. In particular, the proposed solution relies on the empirical observation that the audio bandwidth associated with velcro crackle is larger than that associated with healthy breath sounds. Experimental results from a database of 70 patients affected by rheumatoid arthritis demonstrate that the developed tool can outperform specialized physicians in terms of diagnosing pulmonary disorders. The overall accuracy of the proposed solution is 90.0%, with negative and positive predictive values of 95.0% and 83.3%, respectively, whereas the reliability of physician diagnosis is in the range of 60-70%. The devised algorithm represents an enabling technology for a novel approach to the diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Detection | |
| 650 | 4 | |a Early diagnosis | |
| 650 | 4 | |a Estimation | |
| 650 | 4 | |a Interstitial lung disease | |
| 650 | 4 | |a Lung sounds | |
| 650 | 4 | |a Rheumatoid arthritis | |
| 650 | 4 | |a Velcro crackle | |
| 700 | 1 | |a Sebastiani, Marco |e verfasserin |4 aut | |
| 700 | 1 | |a Cassone, Giulia |e verfasserin |4 aut | |
| 700 | 1 | |a Luppi, Fabrizio |e verfasserin |4 aut | |
| 700 | 1 | |a Cerri, Stefania |e verfasserin |4 aut | |
| 700 | 1 | |a Della Casa, Giovanni |e verfasserin |4 aut | |
| 700 | 1 | |a Manfredi, Andreina |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Computers in biology and medicine |d 1970 |g 96(2018) vom: 01. Mai, Seite 91-97 |w (DE-627)NLM000382272 |x 1879-0534 |7 nnns |
| 773 | 1 | 8 | |g volume:96 |g year:2018 |g day:01 |g month:05 |g pages:91-97 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.compbiomed.2018.03.006 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 96 |j 2018 |b 01 |c 05 |h 91-97 | ||