Pleural Line Research Articles

Predictive value of chest ultrasound in differentiation between cardiogenic and noncardiogenic pulmonary edema

Background Adult respiratory distress syndrome (ARDS) and acute cardiogenic pulmonary edema (CPE) are common clinical issues. Based on clinical data, it is a big challenge to differentiate between both. Secondary to many limitations of computed tomography, chest ultrasound (CUS) provides pleuropulmonary signs that help in differentiation. Objective The current work aimed to assess the accuracy of CUS in differentiating CPE from ARDS. Patients and methods This is a cross-sectional study conducted on patients admitted to different ICUs with pulmonary edema, comprising 25 patients with CPE and 35 patients with ARDS. CUS, ECG, echocardiography, and chest radiograph were done for all patients. Results The mean age of patients with ARDS was 48.90±11.23 years, whereas the mean age of patients with CPE was 49.10±10.10 years. The majority of both groups were males. Systolic dysfunction and pneumonia were the most frequent etiology in CPE and ARDS, respectively. All patients in both groups had alveolar-interstitial syndrome. Pleural line, absence of lung sliding, and the spared area were presented in all cases with ARDS and absent in those with CPE. Moreover, none of those with CPE had lung pulse, but this finding was presented in 18 (51.4%) patients with ARDS. Conclusion CUS can help in differentiating ARDS from CPE in clinical practice. Based on CUS findings, absent or reduced lung sliding, pleural line abnormalities, and spared areas are diagnostic of ARDS.

The lung ultrasound “Rule of 7” in the prognosis of COVID-19 patients: Results from a prospective multicentric study

PurposeThere is growing evidence regarding the imaging findings of coronavirus disease 2019 (COVID-19) in lung ultrasound (LUS), however the use of a combined prognostic and triage tool has yet to be explored.To determine the impact of the LUS in the prediction of the mortality of patients with highly suspected or confirmed COVID-19.The secondary outcome was to calculate a score with LUS findings with other variables to predict hospital admission and emergency department (ED) discharge. Material and methodsProspective study performed in the ED of three academic hospitals. Patients with highly suspected or confirmed COVID-19 underwent a LUS examination and laboratory tests. ResultsA total of 228 patients were enrolled between March and September 2020. The mean age was 61.9 years (Standard Deviation – SD 21.1). The most common findings in LUS was a right posteroinferior isolated irregular pleural line (53.9%, 123 patients). A logistic regression model was calculated, including age over 70 years, C-reactive protein (CRP) over 70mg/L and a lung score over 7 to predict mortality, hospital admission and discharge from the ED. We obtained a predictive model with a sensitivity of 56.8% and a specificity of 87.6%, with an AUC of 0.813 [p<0.001]. ConclusionsThe combination of LUS, clinical and laboratory findings in this easy to apply “rule of 7” showed excellent performance to predict hospital admission and mortality.

The Application of Pulmonary Ultrasound in Neonatal Ventilator-Associated Pneumonia.

This study explored the application value of lung ultrasound (LUS) in neonatal ventilator-associated pneumonia (NVAP). In this study, 122 newborns suspected of NVAP were treated in the NICU of Liaocheng People’s Hospital between July 1, 2020, and July 1, 2021. Of these, 115 were clinically diagnosed with NVAP. The diagnostic value of LUS for NVAP was determined by comparing the different signs of LUS and chest X-ray (CXR). The confirmed cases were divided into the failure and success groups according to the first ventilator weaning test results. The consistency between the results of LUS and CXR and the actual test results was compared between the two groups. Before treatment, the LUS findings of the confirmed cases showed a lung consolidation with air bronchogram sign (111/115), alveolar-interstitial syndrome (113/115), pleural effusion (12/115), pleural line abnormalities (114/115), and lung pulse (15/115). CXR showed 109 cases of pneumonia. Taking the clinical diagnosis of VAP as the gold standard, the lung consolidation with air bronchogram sign on LUS had a higher sensitivity, specificity, and accuracy for the diagnosis of NVAP than those of other LUS and CXR findings and showed better consistency with the clinical diagnosis (AUC = 0.983, kappa value = 0.761, p < 0.05). After treatment, the 115 cases were divided into two groups according to the results of the first weaning from ventilation: the failed group (19 cases) and the successful group (96 cases). The lung consolidation with air bronchogram sign was used as the positive diagnostic standard of ultrasound. The sensitivity and specificity of LUS (94.7 and 89.6%, respectively) in evaluating the outcome of weaning from the ventilator of pneumonia were higher than those of CXR (73.7 and 84.4%, respectively). Additionally, the consistency of the LUS findings with the weaning results was higher than that of CXR (AUC = 0.922, kappa value = 0.709, p < 0.05). Therefore, compared with CXR, LUS has a higher value in diagnosing NVAP and can better predict the results of the ventilator off-line test. LUS can replace CXR as the first imaging examination for NVAP.

Point-of-Care Ultrasound Curriculum for Internal Medicine Residents During the COVID-19 Era: A Pilot Study.

Introduction: The use of point-of-care ultrasound (POCUS) by internal medicine physicians and residents is increasing. We present the results of a pilot study to implement a POCUS curriculum that was interrupted by the Coronavirus Disease 2019 (COVID-19) pandemic at an internal medicine residency program at a community hospital. The purpose of this study is to inquire about the attitude and interest of our medical residents in POCUS. Additionally, we also plan to examine whether a curriculum that lacks some practical aspects due to COVID-19 restrictions can still improve the residents’ confidence in recognizing common POCUS applications and improve image interpretation skills.Methods: We conducted a prospective, pre-, and post-curriculum pilot study to examine the POCUS skills of categorical internal medicine residents in Post-Graduate Years (PGY) 1 through 3 at a community hospital. The two POCUS-related skills examined were self-reported confidence level in recognizing certain POCUS examination findings and POCUS image interpretation skills. Due to social distancing guidelines, we were unable to host hands-on sessions as originally planned, but residents did receive lectures via Zoom regarding POCUS training and also organ-specific diagnoses. Three primary outcomes were measured: (1) baseline difference in confidence level between interns (PGY-1) and senior residents (PGY-2 and 3) at the beginning of the curriculum, (2) improvement in POCUS confidence level before and after the curriculum considering interns and senior residents all together and also separately, and (3) improvement in image interpretation skills before and after the curriculum.Results: Of 41 residents, 23 participants completed the pre- and post-curriculum test. Of the 23 participants, 12 participants were interns, and 11 were senior residents. Overall, interns showed a statistically significant improvement in the confidence level in almost all diagnoses except pulmonary embolism (p = 0.084). For image interpretation tests, significant improvement was found only in recognizing the two signs of pneumothorax: pleural line absent sliding (X2 = 4.00, p < 0.05) and the barcode sign (X2 = 6.13, p < 0.05). The pre-curriculum confidence level questionnaire included a question about residents’ interest in learning POCUS during residency. It showed that the vast majority of residents (21 residents [91%]) are either extremely or mostly interested in POCUS. Most of our residents (18 [78%]) did not have formal exposure to POCUS during medical school.Conclusion: A POCUS curriculum that lacks hands-on workshops and longitudinal image saving and reviewing due to the COVID-19 pandemic restrictions did not improve the residents’ image interpretation skills, although the confidence levels of the interns statistically improved. After the pandemic, we plan to implement the full curriculum and examine whether it will improve the residents' image acquisition and interpretation skills.

Lung Ultrasound to Assist ICU Admission Decision-Making Process of COVID-19 Patients With Acute Respiratory Failure.

OBJECTIVES:There is only low-certainty evidence on the use of predictive models to assist COVID-19 patient’s ICU admission decision-making process. Accumulative evidence suggests that lung ultrasound (LUS) assessment of COVID-19 patients allows accurate bedside evaluation of lung integrity, with the added advantage of repeatability, absence of radiation exposure, reduced risk of virus dissemination, and low cost. Our goal is to assess the performance of a quantified indicator resulting from LUS data compared with standard clinical practice model to predict critical respiratory illness in the 24 hours following hospital admission.DESIGN:Prospective cohort study.SETTING:Critical Care Unit from University Hospital Purpan (Toulouse, France) between July 2020 and March 2021.PATIENTS:Adult patients for COVID-19 who were in acute respiratory failure (ARF), defined as blood oxygen saturation as measured by pulse oximetry less than 90% while breathing room air or respiratory rate greater than or equal to 30 breaths/min at hospital admission. Linear multivariate models were used to identify factors associated with critical respiratory illness, defined as death or mild/severe acute respiratory distress syndrome (Pao2/Fio2 < 200) in the 24 hours after patient’s hospital admission.INTERVENTION:LUS assessment.MEASUREMENTS AND MAIN RESULTS:One hundred and forty COVID-19 patients with ARF were studied. This cohort was split into two independent groups: learning sample (first 70 patients) and validation sample (last 70 patients). Interstitial lung water, thickening of the pleural line, and alveolar consolidation detection were strongly associated with patient’s outcome. The LUS model predicted more accurately patient’s outcomes than the standard clinical practice model (DeLong test: Testing: z score = 2.50, p value = 0.01; Validation: z score = 2.11, p value = 0.03).CONCLUSIONS:LUS assessment of COVID-19 patients with ARF at hospital admission allows a more accurate prediction of the risk of critical respiratory illness than standard clinical practice. These results hold the promise of improving ICU resource allocation process, particularly in the case of massive influx of patients or limited resources, both now and in future anticipated pandemics.

Discrimination of Malignant Pleural Mesothelioma Cell Lines Using Amino Acid Metabolomics with HPLC.

Malignant pleural mesothelioma (MPM) is a malignancy closely associated with asbestos exposure. Although early diagnosis provides a chance of effective treatment and better prognosis, invasive biopsy and cytological procedure are required for definitive diagnosis. In this study, we developed a method to differentiate between MPM and control cell lines, named "amino acid metabolomics," consisting in the assessment of the balance of their amino acid levels in the cell culture medium. Culture media of MESO-1 (MPM cell line) and Met-5A (control) cells were used in this study to evaluate amino acid levels using HPLC, following the fluorescence derivatization method. The time-dependent changes in amino acid levels were visualized on the score plot following principal component analysis, and the results revealed differential changes in amino acid levels between the two cell culture supernatants. A discriminative model based on linear discriminant analysis could distinguish MPM and control cells.

COMPARISON OF LUNG ULTRASOUND AND RADIOGRAPH IN THE DIAGNOSTIC VALUE OF NEONATAL RESPIRATORY DISTRESS SYNDROME

TYPE: Abstract TOPIC: Pediatrics PURPOSE: To compare the reliability and accuracy of lung ultrasound (LUS) and chest X-ray(CXR) in the diagnosis of neonatal respiratory distress syndrome (RDS). METHODS: A retrospective analysis of 117 infants with RDS.Subjects met the following criteria :(1) Clinical diagnosis of RDS.(2) LUS and CXR were performed simultaneously. RESULTS: (1) Among the 117 cases, 111 cases were diagnosed with RDS by LUS, with a diagnostic coincidence rate of 95%; while only 57 cases were diagnosed by CXR with a coincidence rate was 48.7%.There was statistically significant difference between two methods (χ2=61.54, P < 0.05). In the diagnosis of RDS complications 1 pneumothorax was found by LUS as well as CXR, 47 cases of pneumonia were diagnosed by LUS and 19 of them were diagnosed by CXR, 5 cases of pleural effusion were found by LUS and only 1 case was found by CXR.The detection rate of RDS complications was 45.3% by LUS and only 18.0% by CXR(χ2=20.24, P < 0.05). Lung consolidation with air bronchograms, disappearance of A-line and abnormal pleural line are the main ultrasonic signs of RDS. CONCLUSIONS: LUS to diagnose RDS is accurate and reliable, and it is better to find the complications than CXR. CLINICAL IMPLICATIONS: Because it is no radiation damage, easy and convenient for dynamic observation at the bedside, thus it is suitable for clinical application in neonatal wards. DISCLOSURE: Nothing to declare. KEYWORD: lung ultrasound,X-ray,respiratory distress syndrome,neonate

Could transthoracic ultrasound be useful to suggest a small airways disease in severe uncontrolled asthma?

BackgroundTransthoracic ultrasound (TUS) is an accepted complementary tool in the diagnostic process of several pleuro-pulmonary diseases. However, to the best of our knowledge, TUS findings in patients with severe asthma have never been systematically described. ObjectiveTo explore if TUS examination is a useful imaging method in suggesting the presence of a “small airways disease” in patients with severe uncontrolled asthma. MethodsSeventy-two consecutive subjects with a diagnosis of severe uncontrolled asthma were enrolled. The presence of a “small airways disease” was assessed through the execution of pulmonary function tests. All the patients underwent a complete TUS examination and a chest high resolution computed tomography (HRCT), which was regarded as the reference standard for comparison with TUS findings. ResultsPulmonary function tests results have confirmed a reduction in expiratory flows relative to the small airways and a condition of hyperinflation in 78% and 82% of our patients, respectively. The main signs observed in the TUS examination were a thickened and/or irregular pleural line and the lack or reduction of the “gliding sign.” TUS showed high sensitivity and specificity in suggesting the presence of hyperinflation and distal airways inflammation according to the HRCT scan. K Cohen's coefficients showed substantial agreement between the 2 diagnostic tests. ConclusionTUS in patients with severe uncontrolled asthma can provide useful information on the state of the peripheral lung, suggesting the execution of a second-line HRCT scan for better assessment of eventual alterations that may represent the underlying causes of nonresponse to treatment.

One Year of Lung Ultrasound in Children with SARS-CoV-2 Admitted to a Tertiary Referral Children's Hospital: A Retrospective Study during 2020-2021.

During the COVID-19 pandemic, the lung ultrasound (LU) turned out to be a pivotal tool to study the lung involvement in the adult population, but the same was not well evaluated in children. We detected the LU patterns through an integrated approach with clinical–laboratory features in children hospitalized for COVID-19 in relation to the temporal trend of the Italian epidemic. We conducted a retrospective study which took place at a pediatric tertiary hospital from 15 March 2020 to 15 March 2021. We compared the characteristics of the initial phase of the first COVID-19 year—in the spring and summer (15 March–30 September 2020)—and those of the second phase—in the autumn and winter (1 October 2020–15 March 2021). Twenty-eight patients were studied both in the first and in the second phase of the first COVID-19 year. The disease severity score (DSS) was significantly greater in the second phase (p = 0.015). In the second phase of the first COVID-19 year, we detected a more significant occurrence of the following LU features than in the first phase: the irregular pleural line (85.71% vs. 60.71%; p = 0.035), the B-lines (89.29% vs. 60%; p = 0.003) and the several but non-coalescent B-lines (89.29% vs. 60%; p = 0.003). The LU score correlated significantly with the DSS, with a moderate relationship (r = 0.51, p < 0.001). The combined clinical, laboratory and ultrasound approaches might be essential in the evaluation of pulmonary involvement in children affected by COVID-19 during different periods of the pandemic.

Role of lung ultrasound patterns in monitoring coronavirus disease 2019 pneumonia and acute respiratory distress syndrome in children.

Background During the coronavirus disease 2019 (COVID-19) pandemic, lung ultrasonography (US) has been gaining importance in pediatric intensive care and emergency settings for the screening, diagnosis, and monitoring of pulmonary pathology.Purpose To describe the pattern of lung US changes in patients with COVID-19 pneumonia and its potential role in monitoring ventilated patients.Methods This prospective observational study included children aged 1 month to 12 years with a confirmed diagnosis of COVID-19. Lung US was performed using a high-frequency linear probe (5–12 MHz) in all children with moderate/severe respiratory symptoms within 24 hours of admission and then daily until the patient required oxygen therapy. Lung involvement severity was assessed using lung US scores, while lung aeration improvement or deterioration was measured using lung ultrasound reaeration scores (LUSReS).Results Of 85 children with moderate to severe disease, 54 with pulmonary disease were included. Of them, 50 (92.5%) had an interstitial pattern, followed by pleural line abnormalities in 44 (81.5%), reduced or absent lung sliding in 31 (57.4%), and consolidation in 28 (51.8%). A significantly higher lung US score (median, 18; interquartile range [IQR], 11–22) was observed in ventilated versus nonventilated patients (median, 9; IQR, 6–11). LUSReS improvement after positive end-expiratory pressure titration was positively correlated with improved dynamic lung compliance and oxygenation indices and negatively correlated with the requirement for driving pressure. Successful weaning could be predicted with 100% specificity if loss of LUSReS ≤ 5.Conclusion Interstitial syndrome, fragmented pleural line, and subpleural microconsolidation were the most prevalent lung US findings in children with COVID-19 pneumonia. Thus, lung US may have the ability to monitor changes in lung aeration caused by mechanical ventilation and predict its successful weaning in children with COVID-19.

Generation and Expansion of Primary, Malignant Pleural Mesothelioma Tumor Lines

Generation and Expansion of Primary, Malignant Pleural Mesothelioma Tumor Lines

Generation and Expansion of Primary, Malignant Pleural Mesothelioma Tumor Lines.

Current methodologies for the expansion of primary tumor cell lines from rare tumor types are lacking. This protocol describes methods to expand primary tumor cells from surgically resected, malignant pleural mesothelioma (MPM) by providing a complete overview of the process from digestion to enrichment, expansion, cryopreservation, and phenotypic characterization. In addition, this protocol introduces concepts for tumor generation that may be useful for multiple tumor types such as differential trypsinization and the impact of dissociation methods on the detection of cell surface markers for phenotypic characterization. The major limitation of this study is the selection of tumor cells that will expand in a two-dimensional (2D) culture system. Variations to this protocol, including three-dimensional (3D) culture systems, media supplements, plate coating to improve adhesion, and alternate disaggregation methods, could improve this technique and the overall success rate of establishing a tumor line. Overall, this protocol provides a base method for establishing and characterizing tumor cells from this rare tumor.

Lung Ultrasound Characteristics in Neonates With Positive Real Time Polymerase Chain Reaction for SARS-CoV-2 on a Tertiary Level Referral Hospital in Mexico City.

IntroductionAcute respiratory syndrome secondary to SARS-CoV-2 virus infection has been declared a pandemic since December 2019. On neonates, severe presentations are infrequent but possible. Lung ultrasound (LUS) has been shown to be useful in diagnosing lung involvement and following up patients, giving more information, and reducing exposure compared to traditional examination.MethodsLUS was performed after the diagnosis of SARS-CoV-2 infection with respiratory Real Time Polymerase Chain Reaction RT-PCR with portable equipment protected with a silicone sleeve. If hemodynamic or cardiology consultation was necessary, a prepared complete ultrasound machine was used. Ten regions were explored (anterior superior and inferior, lateral, and posterior superior and inferior, right and left), and a semiquantitative score (LUSS) was calculated. Disease severity was determined with a pediatric modified score.ResultsThirty-eight patients with positive RT-PCR were admitted, 32 (81%) of which underwent LUS. Included patients had heterogenous diagnosis and gestational ages as expected on a referral neonatal intensive care unit (NICU) (median, ICR: 36, 30–38). LUS abnormalities found were B-line interstitial pattern 90%, irregular/interrupted/thick pleural line 88%, compact B-lines 65%, small consolidations (≤5 mm) 34%, and extensive consolidations (≥5 mm) 37%. Consolidations showed posterior predominance (70%). LUSS showed a median difference between levels of disease severity and ventilatory support (Kruskal–Wallis, p = 0.001) and decreased with patient improvement (Wilcoxon signed-rank test p = 0.005). There was a positive correlation between LUSS and FiO2 needed (Spearman r = 0.72, p = 0.01). The most common recommendation to the attending team was pronation (41%) and increase in positive end expiratory pressure (34%). Five patients with comorbidities died. A significant rank difference of LUSS and FiO2 needed between survivors and non-survivors was found (Mann–Whitney U-test, p = 0.005).ConclusionLUS patterns found were like the ones described in other series (neonatal and pediatrics). Eighty-eight percent of the studies were performed with handheld affordable equipment. While there is no specific pattern, it varies according to gestational age and baseline diagnosis LUS, which were shown to be useful in assessing lung involvement that correlated with the degree of disease severity and respiratory support.

Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial intelligence algorithm in neonatal respiratory distress syndrome (NRDS), an ultrasonic lung imaging diagnosis model based on a deep residual network (DRN) was proposed. In this study, 90 premature infants in the hospital were selected as the research object and divided into the experimental group (45 cases) and control group (45 cases) according to whether or not they have NRDS. DRN was compared with the deep residual network (DRWSR) based on wavelet domain, deep residual network detection with normalization framework (Fisher-DRN), and distorted image edge detection preprocessor (DIEDP). Then, it was applied to the diagnosis of NRDS. The clinical data and ultrasound imaging results of infants with NRDS and ordinary premature infants were compared. The results showed that the gestational age, birth weight, and Apgar scores of the NRDS group were remarkably lower than those of ordinary children (P < 0.05). In addition, the segmentation accuracy, image feature extraction accuracy, algorithm convergence, and time loss of the DRN algorithm were better than the other three algorithms, and the differences were considerable (P < 0.05). In children with NRDS, the positive rate of abnormal pleural line, disappearance of A line, appearance of B line, and alveolar interstitial syndrome (AIS) test in the results of lung ultrasound examination in children with NRDS were all 100%. The lung consolidation became 70.8%, and the white lung-like change was 50.1%, both of which were higher than those of ordinary preterm infants, and the differences were considerable (P < 0.05). The diagnostic model of this study predicted that the AUC area of grade 1-2, grade 2-3, and grade 3-4 NRDS were 0.962, 0.881, and 0.902, respectively. To sum up, the ultrasound lung imaging diagnosis model based on the DRN algorithm had good diagnostic performance in children with NRDS and can provide useful information for clinical NRDS diagnosis and treatment.

Diagnostic value of pulmonary ultrasound in acute exacerbation of chronic obstructive pulmonary disease: A pilot study

BackgroundTo evaluate the value of the pulmonary ultrasound for the diagnosis of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in emergency departments (EDs). Materials and methodsBetween January 2018 and December 2019, patients admitted to the ED of Shanxi Provincial People's Hospital for suspected AECOPD were prospectively included in this study. Pulmonary ultrasound was performed using a linear transducer. The pulmonary ultrasound findings were evaluated for further discrimination for patients with AECOPD. Then, the diagnostic performance of pulmonary ultrasound was estimated and calculated. The clinical characteristics between groups with and without pneumonia were compared. ResultsA total of 53 patients with AECOPD were included in the final analysis. For diagnosis of AECOPD due to pneumonia, ultrasound findings, such as consolidation, slightly rough pleural line, or irregular and interrupted pleural line had a sensitivity of 92.3% and a specificity of 86.7%. For diagnosis of AECOPD complicating pulmonary fibrosis, fringed pleural line had a sensitivity of 100% and a specificity of 97.5%. In addition, patients with pleural effusion (n=19) or pneumothorax (n=1) were correctly identified and wavy or bulging pleural lines were common in patients with AECOPD (58.5%, 31/53). ConclusionUltrasound findings could offer further discrimination for AECOPD complications and other pathological conditions, such as pneumonia, pulmonary fibrosis, pleural effusion, and pneumothorax in EDs.

Ultrasound evaluation of interstitial lung disease in rheumatoid arthritis and autoimmune diseases.

The interpretation of lung ultrasound (US) is the result of the analysis of artifacts, rather than exact representations of anatomical structures, which appear when changes in the physical properties of the lung occur. Its application to the study of interstitial lung disease (ILD) associated with autoimmune diseases has aroused great interest in the last 10 years, as evidenced by a growing number of publications studying its usefulness in the diagnostic process, as a prognostic marker, and as an aid in monitoring of patients. The main elements in lung US interpretation in ILD are the B lines and the changes in the pleural line. B lines are vertical artifacts that are generated when there is a partial decrease in the air content of the lung parenchyma and/or the volume of the interstitial area expands. Pleural line alterations that can be seen are irregularities, thickening, fragmentation, or subpleural nodules. Both the B lines and the changes in the pleural line have shown a significant positive correlation with the evidence on chest computed tomography (high-resolution computed tomography [HRCT]) of ILD associated with autoimmune diseases, with sensitivity and negative predictive values of up to 100%. These results, together with the safety, accessibility, and low cost of lung US, support this imaging technique as a promising screening method for optimizing the indication for HRCT. The role of lung US regarding sensitivity to change needs further investigation with multicenter prospective studies.

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic.

Ultrasound imaging of the lung has played an important role in managing patients with COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During the COVID-19 pandemic, lung ultrasound (LUS) or point-of-care ultrasound (POCUS) has been a popular diagnostic tool due to its unique imaging capability and logistical advantages over chest X-ray and CT. Pneumonia/ARDS is associated with the sonographic appearances of pleural line irregularities and B-line artefacts, which are caused by interstitial thickening and inflammation, and increase in number with severity. Artificial intelligence (AI), particularly machine learning, is increasingly used as a critical tool that assists clinicians in LUS image reading and COVID-19 decision making. We conducted a systematic review from academic databases (PubMed and Google Scholar) and preprints on arXiv or TechRxiv of the state-of-the-art machine learning technologies for LUS images in COVID-19 diagnosis. Openly accessible LUS datasets are listed. Various machine learning architectures have been employed to evaluate LUS and showed high performance. This paper will summarize the current development of AI for COVID-19 management and the outlook for emerging trends of combining AI-based LUS with robotics, telehealth, and other techniques.

Association Between Lung Ultrasound Patterns and Pneumonia.

Pneumonia is a common respiratory infection that affects the lungs. Lung ultrasound (LUS) is a portable, cost-effective imaging method, which is free of ionizing radiation and has been shown to be useful for evaluating pneumonia. The aim of this retrospective analytical study was to determine the association between lung ultrasound patterns and pneumonia. For the purpose of performing the required analysis, LUS patterns including consolidations, pleural line irregularities, A lines and B lines from 90 subjects (44 patients with confirmed pneumonia and 46 controls) were retrieved from a published open-access data set, which was reviewed and approved by medical experts. A χ 2 test was used for the comparison of categorical variables to determine the association between each LUS pattern and the presence of pneumonia. There is a significant association between LUS consolidation and the presence of pneumonia ( P < 0.0001). Lung ultrasound A lines are significantly associated with the absence of pneumonia ( P < 0.0001), whereas there are no associations between B lines or pleural line irregularities with pneumonia. Lung ultrasound consolidation is found to be associated with the presence of pneumonia. A lines are associated with healthy lungs, and there is no association of B lines and pleural irregularities with the presence of pneumonia. Further studies investigating LUS patterns with clinical information and symptoms of patients with pneumonia are required.

Interstitial lung disease in Primary Sj\xf6gren's syndrome

BackgroundInterstitial lung disease (ILD) may cause life-threatening complications of primary Sjogren’s syndrome (pSS), and has a poor prognosis in terms of survival and quality of life. To date, few studies have investigated the risk factors for ILD detected by high-resolution computed tomography (HRCT) in pSS patients with or without respiratory symptoms.MethodsData of 333 patients with newly diagnosed pSS were retrospectively analysed. Interstitial lung disease involvement was defined as typical abnormalities on HRCT and/or pulmonary function tests. Multivariate regression model was used to evaluate the association between interstitial lung disease and pSS characteristics.ResultsSixty-six patients (19.82%) were diagnosed with pSS-ILD. Ground glass opacities (87.88%) and septal/sub pleural lines (81.82%) were most frequent. Based on pulmonary high-resolution computed tomography, patients were divided into nonspecific (n = 42), usual (n = 20), lymphocytic interstitial pneumonia (n = 3) and cryptogenic organising pneumonia (n = 1) groups. There was a strong association between erythrocyte sedimentation rate (ESR)/C-reactive protein (CRP) and the HRCT-score. Pulmonary function tests revealed impaired diffusion capacity for carbon monoxide and total lung capacity, and coexistence of small airway lesions in pSS-interstitial lung disease. On logistic regression analysis, age, Raynaud’s phenomenon, lymphopenia, cough, dyspnoea and rampant dental caries were risk factors associated with pSS-interstitial lung disease.ConclusionsInterstitial lung disease involvement in pSS is a common clinical occurrence. The clinical manifestation is nonspecific and variable; Raynaud’s phenomenon and lymphopenia may predict its onset. pSS patients with advanced age, dry cough and dyspnoea should be systematically evaluated for ILD involvement and managed according to their symptoms.

The correlation between point-of-care ultrasound and digital tomosynthesis when used with suspected COVID-19 pneumonia patients in primary care

BackgroundThe use of lung ultrasound (LU) with COVID-19 pneumonia patients should be validated in the field of primary care (PC). Our study aims to evaluate the correlation between LU and radiographic imaging in PC patients with suspected COVID-19 pneumonia.MethodsThis observational, prospective and multicentre study was carried out with patients from a PC health area whose tests for COVID-19 and suspected pneumonia had been positive and who then underwent LU and a digital tomosynthesis (DT). Four PC physicians obtained data regarding the patients’ symptoms, examination, medical history and ultrasound data for 12 lung fields: the total amount of B lines (zero to four per field), the irregularity of the pleural line, subpleural consolidation, lung consolidation and pleural effusion. These data were subsequently correlated with the presence of pneumonia by means of DT, the need for hospital admission and a consultation in the hospital emergency department in the following 15 days.ResultsThe study was carried out between November 2020 and January 2021 with 70 patients (40 of whom had pneumonia, confirmed by means of DT). Those with pneumonia were older, had a higher proportion of arterial hypertension and lower oxygen saturation (sO2). The number of B lines was higher in patients with pneumonia (16.53 vs. 4.3, p < 0.001). The area under the curve for LU was 0.87 (95% CI 0.78–0.96, p < 0.001), and when establishing a cut-off point of six B lines or more, the sensitivity was 0.875 (95% CI 0.77–0.98, p < 0.05), the specificity was 0.833 (95% CI 0.692–0.975, p < 0.05), the positive-likelihood ratio was 5.25 (95% CI 2.34–11.79, p < 0.05) and the negative-likelihood ratio was 0.15 (95% CI 0.07–0.34, p < 0.05). An age of ≥ 55 and a higher number of B lines were associated with admission. Patients who required admission (n = 7) met at least one of the following criteria: ≥ 55 years of age, sO2 ≤ 95%, presence of at least one subpleural consolidation or ≥ 21 B lines.ConclusionsLU has great sensitivity and specificity for the diagnosis of COVID-19 pneumonia in PC. Clinical ultrasound findings, along with age and saturation, could, therefore, improve decision-making in this field.