Automatic Detection of B-Lines in &lt;inline-formula&gt; 
                     &lt;tex-math notation="LaTeX"&gt;$In Vivo$ &lt;/tex-math&gt;
                  &lt;/inline-formula&gt; Lung Ultrasound

Moshavegh, Ramin; Hansen, Kristoffer Lindskov; Møller‐Sørensen, Hasse; Nielsen, Michael Bachmann; Jensen, Jørgen Arendt

doi:10.1109/tuffc.2018.2885955

Cited by 42 publications

(13 citation statements)

References 27 publications

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“…41 In 2018, an algorithm to detect, characterize, and count B-lines was presented. 112 It discriminated healthy from unhealthy lung scans. In 2019, a further algorithm was developed for automatic detection and quantification of B-lines.…”

Section: Automation and Future Prospectsmentioning

confidence: 99%

Quantitative Lung Ultrasound: Technical Aspects and Clinical Applications

et al. 2021

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Lung ultrasound is increasingly used in emergency departments, medical wards, and critical care units—adult, pediatric, and neonatal. In vitro and in vivo studies show that the number and type of artifacts visualized change with lung density. This has led to the idea of a quantitative lung ultrasound approach, opening up new prospects for use not only as a diagnostic but also as a monitoring tool. Consequently, the multiple scoring systems proposed in the last few years have different technical approaches and specific clinical indications, adaptable for more or less time-dependent patients. However, multiple scoring systems may generate confusion among physicians aiming at introducing lung ultrasound in their clinical practice. This review describes the various lung ultrasound scoring systems and aims to clarify their use in different settings, focusing on technical aspects, validation with reference techniques, and clinical applications.

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Section: Automation and Future Prospectsmentioning

confidence: 99%

Quantitative Lung Ultrasound: Technical Aspects and Clinical Applications

et al. 2021

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“…Nonetheless, important studies have been conducted before the onset of the SARS-CoV-2 pandemic, on the development of automatic or semi-automatic algorithms based on LUS image processing, but they are not commercially available so far. Interesting approaches for the automatic identification and quantitative assessment of B-lines in patients with pulmonary edema or acute respiratory distress have been recently proposed [10,31], showing that the implementation of quantitative LUS through computer-aided scoring had potential benefits in terms of faster data analysis and applicability to large datasets at no additional cost. Interestingly, the method proposed in the present study is similar, though it integrates also the fully automatic analysis of ultrasonographic data and works in real-time.…”

Section: Discussionmentioning

confidence: 99%

A new standard scoring for interstitial pneumonia based on quantitative analysis of ultrasonographic data: A study on COVID-19 patients

Lombardi

Franchini

Morello

et al. 2021

Respiratory Medicine

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To assess the effectiveness of 3 novel lung ultrasound (LUS)-based parameters: Pneumonia Score and Lung Staging for pneumonia staging and COVID Index, indicating the probability of SARS-CoV-2 infection. Methods: Adult patients admitted to the emergency department with symptoms potentially related to pneumonia, healthy volunteers and clinical cases from online accessible databases were evaluated. The patients underwent a clinical-epidemiological questionnaire and a LUS acquisition, following a 14-zone protocol. For each zone, a Pneumonia score from 0 to 4 was assigned by the algorithm and by an expert operator (kept blind with respect to the algorithm results) on the basis of the identified imaging signs and the patient Lung Staging was derived as the highest observed score. The output of the operator was considered as the ground truth. The algorithm calculated also the COVID Index by combining the automatically identified LUS markers with the questionnaire answers and compared with the nasopharyngeal swab results. Results: Overall, 556 patients were analysed. A high agreement between the algorithm assignments and the expert operator evaluations was observed, both for Pneumonia Score and Lung Staging, with the latter having sensitivity and specificity over 92% both in the discrimination between healthy/sick patients and between sick patients with mild/severe pneumonia. Regarding the COVID Index, an area under the curve of 0.826 was observed for the classification of patients with/without SARS-CoV-2. Conclusion:The proposed methodology allowed the identification and staging of patients suffering from pneumonia with high accuracy. Moreover, it provided the probability of being infected by SARS-CoV-2.

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“…The median duration of ECMO support therapy was 21 days (IQR, 16-28). On average (median), 7.5 areas (IQR, 6-8) were analyzed per examination resulting in a median of 13.5 scoring points (IQR, [12][13][14][15][16][17][18]. The median LUS score was 2.0 (IQR, 1.63-2.38).…”

Section: Patients' Characteristicsmentioning

confidence: 99%

Lung Ultrasound in Predicting Outcomes in Patients with COVID-19 Treated with Extracorporeal Membrane Oxygenation

Schäfer,

Recker,

Kretschmer

et al. 2023

Viruses

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Pulmonary involvement due to SARS-CoV-2 infection can lead to acute respiratory distress syndrome in patients with COVID-19. Consequently, pulmonary imaging is crucial for management of COVID-19. This study aimed to evaluate the prognostic value of lung ultrasound (LUS) with a handheld ultrasound device (HHUD) in patients with COVID-19 treated with extracorporeal membrane oxygenation (ECMO). Therefore, patients underwent LUS with a HHUD every two days until they were either discharged from the intensive care unit or died. The study was conducted at the University Hospital of Bonn’s anesthesiological intensive care ward from December 2020 to August 2021. A total of 33 patients (median [IQR]: 56.0 [53–60.5] years) were included. A high LUS score was associated with a decreased P/F ratio (repeated measures correlation [rmcorr]: −0.26; 95% CI: −0.34, −0.15; p < 0.001), increased extravascular lung water, defined as fluid accumulation in the pulmonary interstitium and alveoli (rmcorr: 0.11; 95% CI: 0.01, 0.20; p = 0.030), deteriorated electrolyte status (base excess: rmcorr: 0.14; 95% CI: 0.05, 0.24; p = 0.004; pH: rmcorr: 0.12; 95% CI: 0.03, 0.21; p = 0.001), and decreased pulmonary compliance (rmcorr: −0.10; 95% CI: −0.20, −0.01; p = 0.034). The maximum LUS score was lower in survivors (median difference [md]: −0.35; 95% CI: −0.55, −0.06; p = 0.006). A cutoff value for non-survival was calculated at a LUS score of 2.63. At the time of maximum LUS score, P/F ratio (md: 1.97; 95% CI: 1.12, 2.76; p < 0.001) and pulmonary compliance (md: 18.67; 95% CI: 3.33, 37.15; p = 0.018) were higher in surviving patients. In conclusion, LUS with a HHUD enables continuous evaluation of cardiopulmonary function in COVID-19 patients receiving ECMO support therapy and provides prognostic value in determining the patients’ likelihood of survival.

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Automatic Detection of B-Lines in <inline-formula> <tex-math notation="LaTeX">$In Vivo$ </tex-math> </inline-formula> Lung Ultrasound

Cited by 42 publications

References 27 publications

Quantitative Lung Ultrasound: Technical Aspects and Clinical Applications

Quantitative Lung Ultrasound: Technical Aspects and Clinical Applications

A new standard scoring for interstitial pneumonia based on quantitative analysis of ultrasonographic data: A study on COVID-19 patients

Lung Ultrasound in Predicting Outcomes in Patients with COVID-19 Treated with Extracorporeal Membrane Oxygenation

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