scholarly journals Lung ultrasound findings in patients with novel SARS-CoV2

2020 ◽  
Author(s):  
Mark Evert Haaksma ◽  
Micah L.A. Heldeweg ◽  
Jorge E. Lopez Matta ◽  
Jasper Martijn Smit ◽  
Jessica D. van Trigt ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Lung Ultrasound ◽  
Dynamic Compliance ◽  
Clinical Parameters ◽  
Duration Of Symptoms ◽  
Pleural Line ◽  
Long Duration ◽  
Academic Hospitals ◽  
Ultrasound Findings ◽  
Lung Sliding

Background: Over 2 million people worldwide have been infected with Severe Acute Respiratory Distress Syndrome Corona Virus 2 (SARS CoV2). Lung ultrasound has been proposed to diagnose and it. However, little is known about ultrasound findings in these patients. Our aim is to present an overview of lung ultrasound characteristics in critically ill patients with SARS CoV2 pneumonia overall and in relation to the duration of symptoms and clinical parameters. Methods: On the Intensive Care Unit of two academic hospitals, adult patients who tested positive for SARS-CoV2 were included. Images were analyzed for pleural line characteristics, number and appearance of B-lines, BLUE-profiles (Bedside Lung Ultrasound in Emergency), pathology in the PLAPS (Postero Lateral Alveolar and Pleural Syndrome) point and a LUS-score (lung ultrasound). The primary outcomes were frequencies, percentages and differences in lung ultrasound findings overall and between short (≤14 days) and long (>14 days) duration of symptoms and their correlation with clinical parameters. Results: In this pilot observational study, 61 patients were included with 75 examinations for analysis. The most prevalent ultrasound findings were decreased lung sliding (36%), thickening of the pleural line (42%) and a C-profile per view (37%). Patients with ″long″ duration of symptoms presented more frequently with a thickened and irregular pleural line (21% (32) vs 9% (11), p=.01), C-profile per patient (47% (18) vs. 25% (8),p=.01) and pleural effusion (19% (14) vs 5% (3),p=.02) compared to patients with short duration of symptoms. Lung ultrasound findings did not correlate with P/F ratio, fluid balance or dynamic compliance, with the exception of the LUS-score and dynamic compliance (R2=0.27, p=.02). Conclusion: SARS CoV2 results in significant ultrasound changes, with decreased lung sliding, thickening of the pleural line and a C-profile being the most observed. With time, a thickened and irregular pleural line, C-profile and pleural effusion become more common findings.

scholarly journals Lung ultrasound findings in patients with novel SARS-CoV-2

2020 ◽  
Vol 6 (4) ◽  
pp. 00238-2020
Author(s):  
Mark E. Haaksma ◽  
Micah L.A. Heldeweg ◽  
Jorge E. Lopez Matta ◽  
Jasper M. Smit ◽  
Jessica D. van Trigt ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Time Course ◽  
Lung Ultrasound ◽  
Arterial Oxygen Tension ◽  
Dynamic Compliance ◽  
Arterial Oxygen ◽  
Clinical Parameters ◽  
Duration Of Symptoms ◽  
Ultrasound Findings ◽  
B Lines

BackgroundOver 2 million people worldwide have been infected with severe acute respiratory distress syndrome-coronavirus-2 (SARS CoV-2). Lung ultrasound has been proposed to diagnose and monitor it, despite the fact that little is known about the ultrasound appearance due to the novelty of the illness. The aim of this manuscript is to characterise the lung ultrasonographic appearance of critically ill patients with SARS-CoV-2 pneumonia, with particular emphasis on its relationship with the time course of the illness and clinical parameters.MethodsAdult patients from the intensive care unit of two academic hospitals who tested positive for SARS-CoV-2 were included. Images were analysed using internationally recognised techniques which included assessment of the pleura, number of B-lines, pathology in the PLAPS (posterolateral alveolar and/or pleural syndrome) point, bedside lung ultrasound in emergency profiles, and the lung ultrasound score. The primary outcomes were frequencies, percentages and differences in lung ultrasound findings overall and between short (≤14 days) and long (>14 days) durations of symptoms and their correlation with clinical parameters.ResultsIn this pilot observational study, 61 patients were included with 76 examinations available for analysis. 26% of patients had no anterior lung abnormalities, while the most prevalent pathological ultrasound findings were thickening of the pleura (42%), ≥3 B-lines per view (38%) and presence of PLAPS (74%). Patients with “long” duration of symptoms presented more frequently with a thickened and irregular pleura (32 (21%) versus 11 (9%)), C-profile (18 (47%) versus 8 (25%)) and pleural effusion (14 (19%) versus 3 (5%)), compared to patients with short duration of symptoms. Lung ultrasound findings did not correlate with arterial oxygen tension/inspiratory oxygen fraction ratio, fluid balance or dynamic compliance.ConclusionSARS-CoV-2 results in significant, but not specific, ultrasound changes, with decreased lung sliding, thickening of the pleura and a B-profile being the most commonly observed. With time, a thickened and irregular pleura, C-profile and pleural effusion become more common findings. When screening patients, a comprehensive ultrasound protocol might be necessary.

scholarly journals Use of lung ultrasound for diagnosis and monitoring of coronavirus disease 2019 pneumonia: A case report

2020 ◽  
Vol 8 ◽  
pp. 2050313X2095891
Author(s):  
Debo Yun ◽  
Yan Cui ◽  
Yuan Geng ◽  
Yujiao Yang
Keyword(s):  
Case Report ◽  
Severe Acute Respiratory Syndrome ◽  
Early Diagnosis ◽  
Lung Ultrasound ◽  
Nasopharyngeal Swab ◽  
Ultrasound Images ◽  
Healthcare Settings ◽  
Pleural Line ◽  
Ultrasound Findings ◽  
Spread Of Infection

Knowledge of lung ultrasound characteristics of coronavirus disease 2019 pneumonia might be useful for early diagnosis and clinical monitoring of patients, and lung ultrasound can help to control the spread of infection in healthcare settings. In this case report, a 36-year-old man with severe acute respiratory syndrome coronavirus 2 infection was diagnosed by reverse transcription-polymerase chain reaction testing of a nasopharyngeal swab. The lung ultrasound findings for this patient were the interstitial-alveolar damage showing bilateral, diffuse pleural line abnormalities, subpleural consolidations, white lung areas and thick, irregular vertical artifacts. When the patient recovered from the severe acute respiratory syndrome coronavirus 2 infection, lung ultrasound images showed a normal pleural line with A-lines regularly reverberating. Performing lung ultrasound at the bedside minimizes the need to move the patient, thus reducing the risk of spreading infection among healthcare staff. Lung ultrasound is useful for early diagnosis and evaluation of the severity of coronavirus disease 2019 pneumonia and for monitoring its progress over the course of the disease.

scholarly journals Advantages of lung ultrasound in triage, diagnosis and monitoring COVID-19 patients: review

2021 ◽  
Vol 67 (2) ◽  
pp. 73-76
Author(s):  
Bianca Emilia Ciurba ◽  
Hédi Katalin Sárközi ◽  
István Adorján Szabó ◽  
Nimród László ◽  
Edith Simona Ianosi ◽  
...  
Keyword(s):  
Lung Ultrasound ◽  
Cost Effective ◽  
Portable Devices ◽  
Standard Protocol ◽  
Mechanically Ventilated ◽  
Mechanically Ventilated Patients ◽  
Pleural Line ◽  
B Lines ◽  
Lung Sliding ◽  
Ventilated Patients

Abstract Over the last decades, especially during the COVID-19 pandemic period, lung ultrasound (LUS) gained interest due to multiple advantages: radiation-free, repeatable, cost-effective, portable devices with a bedside approach. These advantages can help clinicians in triage, in positive diagnostic, stratification of disease forms according to severity and prognosis, evaluation of mechanically ventilated patients from Intensive Care Units, as well as monitoring the progress of COVID-19 lesions, thus reducing the health care contamination. LUS should be performed by standard protocol examination. The characteristic lesions from COVID-19 pneumonia are the abolished lung sliding, presence of multiple and coalescent B-lines, disruption and thickening of pleural line with subpleural consolidations. LUS is a useful method for post-COVID-19 lesions evaluation, highlight the remaining fibrotic lesions in some patients with moderate or severe forms of pneumonia.

scholarly journals ROLE OF LUNG ULTRASOUND FOR THE ETIOLOGICAL DIAGNOSIS OF COMMUNITY- ACQUIRED PNEUMONIA IN CHILDREN: A PROSPECTIVE STUDY

2020 ◽  
Author(s):  
Danilo Buonsenso ◽  
Annamaria Musolino ◽  
Valentina Ferro ◽  
Cristina De Rose ◽  
Rosa Morello ◽  
...  
Keyword(s):  
Prospective Study ◽  
Lung Ultrasound ◽  
Community Acquired Pneumonia ◽  
Clinical Parameters ◽  
Etiological Diagnosis ◽  
Size Number ◽  
Ultrasound Findings ◽  
Personalized Approach ◽  
A Prospective Study

ABSTRACTObjective and designOur prospective study is one of the largest prospective study assessing the role of detailed lung ultrasound features to discriminate the etiological diagnosis of Community acquired pneumonia (CAP) in children.MethodologyWe prospectively analysed patients aged from 1 month to 17 years admitted between March 2018 and April 2020 who were hospitalized for CAP. For all patients included in the study, history, clinical parameters, microbiological data, and lung ultrasound data were collected.Patients were stratified into three main groups (“bacterial”, “viral”, “atypical”) according to the presumed microbial aetiology and lung ultrasound findings evaluated according to the aetiological group.ResultsWe found that some ultrasound findings as size, number and distribution of consolidations, the position and motion of air bronchograms, pleural effusions and distribution of vertical artifacts significantly differ (p < 0.05) in children with bacterial, viral and atypical CAP. Conversely, clinical parameters and laboratory were not able to significantly distinguish between these groups. Chest x-ray, despite being still widely used, was the less useful tool in this discrimination.ConclusionOur study provides a detailed analysis of LUS features able to predict the etiology CAP in children. These findings may help the physicians to better manage a child with CAP and to offer personalized approach, from diagnosis to treatment and follow-up.

Efficiency of Lung Ultrasonography in the Diagnosis and Follow-up of Viral Pneumonia in Newborn

2021 ◽  
Author(s):  
Ahmet Öktem ◽  
Ayşegül Zenciroğlu ◽  
Çiğdem Üner ◽  
Seda Aydoğan ◽  
Dilek Dilli ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Outpatient Clinic ◽  
Lung Diseases ◽  
Neonatal Period ◽  
Control Group ◽  
Lung Ultrasonography ◽  
Lung Consolidation ◽  
Pleural Line ◽  
Lung Sliding

Objective Lung ultrasonography (LUS) is a useful method for diagnosis of lung diseases such as respiratory distress syndrome, transient tachypnea of the newborn, pneumonia, and pneumothorax in the neonatal period. LUS has become an important tool in the diagnosis and follow-up of lung diseases. LUS is easy to apply at the bedside and is a practical and low-cost method for diagnosing pneumonia. Study Design This study was conducted in neonatal intensive care unit of Dr. Sami Ulus Obstetrics, Children's Health and Diseases Training and Research Hospital. From September 2019 to April 2020, 50 patients who were diagnosed with viral pneumonia were included in the study. Also, 24 patients with sepsis-related respiratory failure were included in the study as a control group. LUS was performed at the bedside three times, by a single expert, once each before treatment for diagnosis, on discharge, and after discharge in outpatient clinic control. Results Before treatment, LUS findings were lung consolidation with air bronchograms (50/50), pleural line abnormalities (35/50), B-pattern (25/50), disappearance of lung sliding (21/50), lung pulse (5/50), and pleural effusion (9/50). During discharge, we found significant changes: lung consolidation with air bronchograms (6/50), pleural line abnormalities (7/50), B-pattern (12/50), and pleural effusion (1/50) (p < 0.05). Outpatient clinic control LUS findings were lung consolidation with air bronchograms (0/50), pleural line abnormalities (0/50), B-pattern (0/50), disappearance of lung sliding (0/50), and pleural effusion (0/50) (p < 0.05). Also, B-pattern image, disappearance of lung sliding, and pleural line abnormalities were higher in control group (p < 0.05). Conclusion Ultrasound gives no hazard, and the application of bedside ultrasonography is comfortable for the patients. Pneumonia is a serious infection in the neonatal period. Repeated chest radiography may be required depending on the clinical condition of the patient with pneumonia. This study focuses on adequacy of LUS in neonatal pneumonia. Key Points

Lung Ultrasound Findings in a Covid-19 Patient with Negative Chest CT

2020 ◽  
Author(s):  
Yale Tung Chen ◽  
Milagros Martí de Gracia ◽  
Maria Luz Parra Gordo ◽  
Silvia Ossaba Velez ◽  
Sergio Agudo-Fernández
Keyword(s):  
Lung Ultrasound ◽  
Chest Ct ◽  
Ultrasound Findings

scholarly journals Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Micah L. A. Heldeweg ◽  
Jorge E. Lopez Matta ◽  
Mark E. Haaksma ◽  
Jasper M. Smit ◽  
Carlos V. Elzo Kraemer ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Lung Ultrasound ◽  
Composite Endpoint ◽  
Pulmonary Involvement ◽  
Chest Ct ◽  
Secondary Outcome ◽  
Icu Stay ◽  
Academic Hospitals ◽  
Ultrasound Score

Abstract Background Lung ultrasound can adequately monitor disease severity in pneumonia and acute respiratory distress syndrome. We hypothesize lung ultrasound can adequately monitor COVID-19 pneumonia in critically ill patients. Methods Adult patients with COVID-19 pneumonia admitted to the intensive care unit of two academic hospitals who underwent a 12-zone lung ultrasound and a chest CT examination were included. Baseline characteristics, and outcomes including composite endpoint death or ICU stay > 30 days were recorded. Lung ultrasound and CT images were quantified as a lung ultrasound score involvement index (LUSI) and CT severity involvement index (CTSI). Primary outcome was the correlation, agreement, and concordance between LUSI and CTSI. Secondary outcome was the association of LUSI and CTSI with the composite endpoints. Results We included 55 ultrasound examinations in 34 patients, which were 88% were male, with a mean age of 63 years and mean P/F ratio of 151. The correlation between LUSI and CTSI was strong (r = 0.795), with an overall 15% bias, and limits of agreement ranging − 40 to 9.7. Concordance between changes in sequentially measured LUSI and CTSI was 81%. In the univariate model, high involvement on LUSI and CTSI were associated with a composite endpoint. In the multivariate model, LUSI was the only remaining independent predictor. Conclusions Lung ultrasound can be used as an alternative for chest CT in monitoring COVID-19 pneumonia in critically ill patients as it can quantify pulmonary involvement, register changes over the course of the disease, and predict death or ICU stay > 30 days. Trial registration: NTR, NL8584. Registered 01 May 2020—retrospectively registered, https://www.trialregister.nl/trial/8584

scholarly journals Detecting the Absence of Lung Sliding in Lung Ultrasounds Using Deep Learning

2021 ◽  
Vol 11 (15) ◽  
pp. 6976
Author(s):  
Miroslav Jaščur ◽  
Marek Bundzel ◽  
Marek Malík ◽  
Anton Dzian ◽  
Norbert Ferenčík ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Lung Ultrasound ◽  
Video Recording ◽  
X Rays ◽  
Surgery Complications ◽  
Temporal Dimension ◽  
Sliding Motion ◽  
Post Surgery ◽  
Lung Sliding

Certain post-thoracic surgery complications are monitored in a standard manner using methods that employ ionising radiation. A need to automatise the diagnostic procedure has now arisen following the clinical trial of a novel lung ultrasound examination procedure that can replace X-rays. Deep learning was used as a powerful tool for lung ultrasound analysis. We present a novel deep-learning method, automated M-mode classification, to detect the absence of lung sliding motion in lung ultrasound. Automated M-mode classification leverages semantic segmentation to select 2D slices across the temporal dimension of the video recording. These 2D slices are the input for a convolutional neural network, and the output of the neural network indicates the presence or absence of lung sliding in the given time slot. We aggregate the partial predictions over the entire video recording to determine whether the subject has developed post-surgery complications. With a 64-frame version of this architecture, we detected lung sliding on average with a balanced accuracy of 89%, sensitivity of 82%, and specificity of 92%. Automated M-mode classification is suitable for lung sliding detection from clinical lung ultrasound videos. Furthermore, in lung ultrasound videos, we recommend using time windows between 0.53 and 2.13 s for the classification of lung sliding motion followed by aggregation.

Characterization of lung ultrasound imaging in preterm infants with bronchopulmonary dysplasia

2021 ◽  
pp. 1-13
Author(s):  
Ying-Hua Sun ◽  
Lin Yuan ◽  
Yang Du ◽  
Jian-Guo Zhou ◽  
Sam Bill Lin ◽  
...  
Keyword(s):  
Preterm Infants ◽  
Bronchopulmonary Dysplasia ◽  
Neonatal Intensive Care ◽  
Lung Ultrasound ◽  
Imaging Method ◽  
Chronic Lung Diseases ◽  
Pleural Line ◽  
Ultrasound Features

BACKGROUND: Lung ultrasound (LUS) is a bedside technique that can be used on diagnosis and follow-up of neonatal respiratory diseases. However, there are rare reports on the ultrasound features of bronchopulmonary dysplasia (BPD) which is one of the most common chronic lung diseases in preterm infants. OBJECTIVE: To describe the ultrasound features of different BPD levels, and to investigate the value of ultrasound in evaluating moderate-to-severe BPD. METHODS: In this prospective cohort study, newborns of less than 37 weeks’ gestational age in neonatal intensive care unit (NICU) were included. The LUS characteristics including pleural line, alveolar-interstitial syndrome (AIS), retrodiaphragmatic hyperechogenicity and diaphragmatic morphology were observed and recorded. The reliability of LUS in evaluating moderate and severe BPD were compared and calculated. RESULTS: A total of 108 infants were enrolled in our study: 39, 24, 29, 16 infants had non, mild, moderate and severe BPD. The median(IQR) pleura thickness in the moderate-to-severe BPD group was 1.7(1.6–1.85) mm, which was thicker than that in the none-to-mild BPD infants (P <  0.001), meanwhile the proportions of rough pleural lines, diffuse AIS, retrodiaphragmatic hyperechogenicity, small cysts above the diaphragm and rough diaphragm in the moderate-to-severe BPD group were also higher than those in none-to-mild BPD group (86.7% vs 36.5, 57.8% vs 7.9%, 37.8% vs 0, 33.3% vs 0, P <  0.001). In evaluating moderate-to-severe BPD, rough pleura had 91.1% (95% confidence interval [CI]: 0.793–0.965) in sensitivity, 91.3% (95% CI: 0.797–0.966) in negative predictive value (NPV), and 66.7% (95% CI: 0.544–0.771) in specificity. Small cysts had 100% (95% CI: 0.941-1) in specificity, 100% (95% CI: 0.816-1) in PPV, and 37.8% in sensitivity (95% CI: 0.251–0.524). Rough diaphragm had 100% (95% CI: 0.943-1) in sensitivity, 100% (95% CI: 0.796-1) in PPV and 33.3% (95% CI: 0.211–0.478) in specificity. CONCLUSIONS: Depending on its unique advantages such as convenient, no radiation and repeatable, LUS is a valuable imaging method in assessing the severity of BPD, especially in moderate and severe BPD.

Sign in / Sign up

Export Citation Format

Share Document