Development of an Automated Ultrasound Signal Indicator of Lung Interstitial Syndrome
© 2023 American Institute of Ultrasound in Medicine..
OBJECTIVES: The number and distribution of lung ultrasound (LUS) imaging artifacts termed B-lines correlate with the presence of acute lung disease such as infection, acute respiratory distress syndrome (ARDS), and pulmonary edema. Detection and interpretation of B-lines require dedicated training and is machine and operator-dependent. The goal of this study was to identify radio frequency (RF) signal features associated with B-lines in a cohort of patients with cardiogenic pulmonary edema. A quantitative signal indicator could then be used in a single-element, non-imaging, wearable, automated lung ultrasound sensor (LUSS) for continuous hands-free monitoring of lung fluid.
METHODS: In this prospective study a 10-zone LUS exam was performed in 16 participants, including 12 patients admitted with acute cardiogenic pulmonary edema (mean age 60 ± 12 years) and 4 healthy controls (mean age 44 ± 21). Overall,160 individual LUS video clips were recorded. The LUS exams were performed with a phased array probe driven by an open-platform ultrasound system with simultaneous RF signal collection. RF data were analyzed offline for candidate B-line indicators based on signal amplitude, temporal variability, and frequency spectrum; blinded independent review of LUS images for the presence or absence of B-lines served as ground truth. Predictive performance of the signal indicators was determined with receiving operator characteristic (ROC) analysis with k-fold cross-validation.
RESULTS: Two RF signal features-temporal variability of signal amplitude at large depths and at the pleural line-were strongly associated with B-line presence. The sensitivity and specificity of a combinatorial indicator were 93.2 and 58.5%, respectively, with cross-validated area under the ROC curve (AUC) of 0.91 (95% CI = 0.80-0.94).
CONCLUSION: A combinatorial signal indicator for use with single-element non-imaging LUSS was developed to facilitate continuous monitoring of lung fluid in patients with respiratory illness.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:43 |
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| Enthalten in: |
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine - 43(2024), 3 vom: 08. März, Seite 513-523 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Khokhlova, Tatiana D [VerfasserIn] |
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| Links: |
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| Themen: |
B-line |
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| Anmerkungen: |
Date Completed 08.02.2024 Date Revised 09.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1002/jum.16383 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 100 | 1 | |a Khokhlova, Tatiana D |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Development of an Automated Ultrasound Signal Indicator of Lung Interstitial Syndrome |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023 American Institute of Ultrasound in Medicine. | ||
| 520 | |a OBJECTIVES: The number and distribution of lung ultrasound (LUS) imaging artifacts termed B-lines correlate with the presence of acute lung disease such as infection, acute respiratory distress syndrome (ARDS), and pulmonary edema. Detection and interpretation of B-lines require dedicated training and is machine and operator-dependent. The goal of this study was to identify radio frequency (RF) signal features associated with B-lines in a cohort of patients with cardiogenic pulmonary edema. A quantitative signal indicator could then be used in a single-element, non-imaging, wearable, automated lung ultrasound sensor (LUSS) for continuous hands-free monitoring of lung fluid | ||
| 520 | |a METHODS: In this prospective study a 10-zone LUS exam was performed in 16 participants, including 12 patients admitted with acute cardiogenic pulmonary edema (mean age 60 ± 12 years) and 4 healthy controls (mean age 44 ± 21). Overall,160 individual LUS video clips were recorded. The LUS exams were performed with a phased array probe driven by an open-platform ultrasound system with simultaneous RF signal collection. RF data were analyzed offline for candidate B-line indicators based on signal amplitude, temporal variability, and frequency spectrum; blinded independent review of LUS images for the presence or absence of B-lines served as ground truth. Predictive performance of the signal indicators was determined with receiving operator characteristic (ROC) analysis with k-fold cross-validation | ||
| 520 | |a RESULTS: Two RF signal features-temporal variability of signal amplitude at large depths and at the pleural line-were strongly associated with B-line presence. The sensitivity and specificity of a combinatorial indicator were 93.2 and 58.5%, respectively, with cross-validated area under the ROC curve (AUC) of 0.91 (95% CI = 0.80-0.94) | ||
| 520 | |a CONCLUSION: A combinatorial signal indicator for use with single-element non-imaging LUSS was developed to facilitate continuous monitoring of lung fluid in patients with respiratory illness | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a B-line | |
| 650 | 4 | |a cardiogenic pulmonary edema | |
| 650 | 4 | |a lung ultrasound | |
| 650 | 4 | |a point-of-care ultrasound | |
| 700 | 1 | |a Thomas, Gilles P |e verfasserin |4 aut | |
| 700 | 1 | |a Hall, Jane |e verfasserin |4 aut | |
| 700 | 1 | |a Steinbock, Kyle |e verfasserin |4 aut | |
| 700 | 1 | |a Thiel, Jeff |e verfasserin |4 aut | |
| 700 | 1 | |a Cunitz, Bryan W |e verfasserin |4 aut | |
| 700 | 1 | |a Bailey, Michael R |e verfasserin |4 aut | |
| 700 | 1 | |a Anderson, Layla |e verfasserin |4 aut | |
| 700 | 1 | |a Kessler, Ross |e verfasserin |4 aut | |
| 700 | 1 | |a Hall, M Kennedy |e verfasserin |4 aut | |
| 700 | 1 | |a Adedipe, Adeyinka A |e verfasserin |4 aut | |
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