Lung ultrasound for paediatric pneumonia diagnosis: internationally officialized in a near future?

2012 ◽  
Vol 102 (1) ◽  
pp. 6-7 ◽  
Author(s):  
Massimiliano Don ◽  
Alfredo Barillari ◽  
Luigi Cattarossi ◽  
Roberto Copetti ◽  
Keyword(s):  
Lung Ultrasound ◽  
Near Future ◽  
Pneumonia Diagnosis

scholarly journals Feasibility, usability and acceptability of paediatric lung ultrasound among healthcare providers and caregivers for the diagnosis of childhood pneumonia in resource-constrained settings: a qualitative study

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e042547
Author(s):  
Atif Riaz ◽  
Olga Cambaco ◽  
Laura Elizabeth Ellington ◽  
Jennifer L Lenahan ◽  
Khatia Munguambe ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Low Income ◽  
Lung Ultrasound ◽  
New Technology ◽  
Healthcare Providers ◽  
Ease Of Use ◽  
Local Context ◽  
Future Research ◽  
Successful Implementation ◽  
Pneumonia Diagnosis

ObjectivesPaediatric pneumonia burden and mortality are highest in low-income and middle-income countries (LMIC). Paediatric lung ultrasound (LUS) has emerged as a promising diagnostic tool for pneumonia in LMIC. Despite a growing evidence base for LUS use in paediatric pneumonia diagnosis, little is known about its potential for successful implementation in LMIC. Our objectives were to evaluate the feasibility, usability and acceptability of LUS in the diagnosis of paediatric pneumonia.DesignProspective qualitative study using semistructured interviewsSettingTwo referral hospitals in Mozambique and PakistanParticipantsA total of 21 healthcare providers (HCPs) and 20 caregivers were enrolled.ResultsHCPs highlighted themes of limited resource availability for the feasibility of LUS implementation, including perceived high cost of equipment, maintenance demands, time constraints and limited trained staff. HCPs emphasised the importance of policymaker support and caregiver acceptance for long-term success. HCP perspectives of usability highlighted ease of use and integration into existing workflow. HCPs and caregivers had positive attitudes towards LUS with few exceptions. Both HCPs and caregivers emphasised the potential for rapid, improved diagnosis of paediatric respiratory conditions using LUS.ConclusionsThis was the first study to evaluate HCP and caregiver perspectives of paediatric LUS through qualitative analysis. Critical components impacting feasibility, usability and acceptability of LUS for paediatric pneumonia diagnosis in LMIC were identified for initial deployment. Future research should explore LUS sustainability, with a particular focus on quality control, device maintenance and functionality and adoption of the new technology within the health system. This study highlights the need to engage both users and recipients of new technology early in order to adapt future interventions to the local context for successful implementation.Trial registration numberNCT03187067.

scholarly journals Lung Ultrasound Is More Sensitive for Hospitalized Consolidated Pneumonia Diagnosis Compared to CXR in Children

Children ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 659
Author(s):  
Ioana Mihaiela Ciuca ◽  
Mihaela Dediu ◽  
Monica Steluta Marc ◽  
Mirabela Lukic ◽  
Delia Ioana Horhat ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Lung Ultrasound ◽  
Clinical Suspicion ◽  
Cohen’S Kappa ◽  
Perfect Agreement ◽  
Kappa Test ◽  
Cohen's Kappa ◽  
Child Pneumonia ◽  
Chest X Ray ◽  
Pneumonia Diagnosis

Background: Pneumonia is the leading cause of death among children; thus, a correct early diagnosis would be ideal. The imagistic diagnosis still uses chest X-ray (CXR), but lung ultrasound (LUS) proves to be reliable for pneumonia diagnosis. The aim of our study was to evaluate the sensitivity and specificity of LUS compared to CXR in consolidated pneumonia. Methods: Children with clinical suspicion of bacterial pneumonia were screened by LUS for pneumonia, followed by CXR. The agreement relation between LUS and CXR regarding the detection of consolidation was evaluated by Cohen’s kappa test. Results: A total of 128 patients with clinical suspicion of pneumonia were evaluated; 74 of them were confirmed by imagery and biological inflammatory markers. The highest frequency of pneumonia was in the 0–3 years age group (37.83%). Statistical estimation of the agreement between LUS and CXR in detection of the consolidation found an almost perfect agreement, with a Cohen’s kappa coefficient of K = 0.89 ± 0.04 SD, p = 0.000. Sensitivity of LUS was superior to CXR in detection of consolidations. Conclusion: Lung ultrasound is a reliable method for the detection of pneumonia consolidation in hospitalized children, with sensitivity and specificity superior to CXR. LUS should be used for rapid and safe evaluation of child pneumonia.

scholarly journals The Accuracy of Lung Ultrasound in Pneumonia Diagnosis: Evidence-Based Case Report

2021 ◽  
Vol 41 (2) ◽  
pp. 140-145
Author(s):  
Adityo Wibowo ◽  
Airin Aldiani ◽  
Faiza Hatim ◽  
Galoeh Adyasiwi ◽  
Hendra Wahyuni MS ◽  
...  
Keyword(s):  
Case Report ◽  
Lung Ultrasound ◽  
Evidence Based ◽  
Pneumonia Diagnosis

Role of pulmonary ultrasound in COVID-19 pandemics

2021 ◽  
Vol 17 ◽  
Author(s):  
Daniil Starostin ◽  
Artem Kuzovlev
Keyword(s):  
Clinical Data ◽  
Lung Ultrasound ◽  
Pneumonia Diagnosis

: Currently, there is a number of clinical data on the basics of lung ultrasound (US) examination in patients with COVID-19. This article is focused on the principles of pneumonia diagnosis. It is established that the use of ultrasound can be informative at the prehospital stage and triage of patients and also detection of mild forms of the course of the disease.

scholarly journals B-Line Artifact as a Diagnostic Tool in Various Conditions at the Emergency Department

2021 ◽  
Vol 9 (E) ◽  
pp. 369-372
Author(s):  
Kamonwon Ienghong ◽  
Takaaki Suzuki ◽  
Ismet Celebi ◽  
Vajarabhongsa Bhudhisawasdi ◽  
Somsak Tiamkao ◽  
...  
Keyword(s):  
Emergency Department ◽  
Observational Study ◽  
Pulmonary Edema ◽  
Lung Ultrasound ◽  
Final Diagnosis ◽  
Diagnostic Study ◽  
Lung Pathology ◽  
Good Sensitivity ◽  
Emergency Patients ◽  
Pneumonia Diagnosis

BACKGROUND: B-line artifacts (BLAs) play an important role in identifying lung pathology. They may indicate different diseases. However, the diagnostic study of BLA as applied to emergency patients has not been well studied. AIM: The aim of this study was to determine the diagnostic accuracy of BLA in various conditions. METHODS: This was a retrospective observational study of emergency patients who had received lung ultrasound at Srinagarind Hospital’s Emergency Department throughout January 2020–December 2020. Ultrasound artifacts were recorded. Ultrasonography findings were correlated with final diagnosis. Sensitivity and specificity were also calculated. RESULTS: A total of 105 patients were evaluated. The most prevalent condition which BLA found in this study was pulmonary edema (44.12%) with 88.24% sensitivity and 46.48% specificity. BLA also indicated pneumonia with 66.67% sensitivity and 35.71% specificity. Diffuse BLA indicated pulmonary edema with 70% sensitivity and 70.42% specificity. Focal BLA indicated pneumonia with 28.57% sensitivity and 76.19% specificity. CONCLUSIONS: The sensitivity of BLA for pulmonary edema and pneumonia diagnosis in this study was of moderate to good sensitivity, but low specificity. BLA may become crucial in the diagnosis of lung pathology in the emergency department.

scholarly journals A training plan to implement lung ultrasound for diagnosing pneumonia in children

2021 ◽  
Author(s):  
Carmina Guitart ◽  
Esther Esteban ◽  
Judit Becerra ◽  
Javier Rodríguez-Fanjul ◽  
Francisco José Cambra ◽  
...  
Keyword(s):  
Intensive Care ◽  
Lung Ultrasound ◽  
Pediatric Intensive Care ◽  
Observer Agreement ◽  
Practical Training ◽  
List Type ◽  
Perfect Agreement ◽  
Training Plan ◽  
Prospective Longitudinal ◽  
Pneumonia Diagnosis

Abstract Background Lung ultrasound (LUS) for critical patients requires trained operators to perform them, though little information exists on the level of training required for independent practice. The aims were to implement a training plan for diagnosing pneumonia using LUS and to analyze the inter-observer agreement between senior radiologists (SRs) and pediatric intensive care physicians (PICPs). Methods Prospective longitudinal and interventional study conducted in the Pediatric Intensive Care Unit of a tertiary hospital. Following a theoretical and practical training plan regarding diagnosing pneumonia using LUS, the concordance between SRs and the PICPs on their LUS reports was analyzed. Results Nine PICPs were trained and tested on both theoretical and practical LUS knowledge. The mean exam mark was 13.5/15. To evaluate inter-observer agreement, a total of 483 LUS were performed. For interstitial syndrome, the global Kappa coefficient (K) was 0.51 (95% CI 0.43–0.58). Regarding the presence of consolidation, K was 0.67 (95% CI 0.53–0.78), and for the consolidation pattern, K was 0.82 (95% CI 0.79–0.85), showing almost perfect agreement. Conclusions Our training plan allowed PICPs to independently perform LUS and might improve pneumonia diagnosis. We found a high inter-observer agreement between PICPs and SRs in detecting the presence and type of consolidation on LUS. Impact Lung ultrasound (LUS) has been proposed as an alternative to diagnose pneumonia in children. However, the adoption of LUS in clinical practice has been slow, and it is not yet included in general clinical guidelines. The results of this study show that the implementation of a LUS training program may improve pneumonia diagnosis in critically ill patients. The training program’s design, implementation, and evaluation are described. The high inter-observer agreement between LUS reports from the physicians trained and expert radiologists encourage the use of LUS not only for pneumonia diagnosis, but also for discerning bacterial and viral patterns.

Feature detection and pneumonia diagnosis based on clinical lung ultrasound imagery using deep learning

2018 ◽  
Vol 144 (3) ◽  
pp. 1668-1668 ◽  
Author(s):  
Xinliang Zheng ◽  
Sourabh Kulhare ◽  
Courosh Mehanian ◽  
Zhijie Chen ◽  
Ben Wilson
Keyword(s):  
Deep Learning ◽  
Feature Detection ◽  
Lung Ultrasound ◽  
Pneumonia Diagnosis

Spectrophotometric reductions with an IBM 1620

1966 ◽  
Vol 24 ◽  
pp. 116-117
Author(s):  
P.-I. Eriksson
Keyword(s):  
Astronomical Data ◽  
Spectrophotometric Data ◽  
Electronic Computers ◽  
The University ◽  
Near Future

Nowadays more and more of the reductions of astronomical data are made with electronic computers. As we in Uppsala have an IBM 1620 at the University, we have taken it to our help with reductions of spectrophotometric data. Here I will briefly explain how we use it now and how we want to use it in the near future.

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