Lung Ultrasound vs. Chest X-Ray Study for the Radiographic Diagnosis of COVID-19 Pneumonia in a High-Prevalence Population

Gibbons, Ryan C.; Magee, Mark; Goett, H; Murrett, James; Genninger, Jessica; Mendez, Kendra; Tripod, Matthew; Tyner, Nicholas; Costantino, Thomas

doi:10.1016/j.jemermed.2021.01.041

Cited by 32 publications

(37 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The panel produced 20 statements in relation to 10 clinical questions on the bedside use of LUS in COVID-19 critically ill patients, summarizing the latest available literature and the direct experience of the expert panelists. As the use of LUS became ineluctable during this pandemic, anesthesiologists and intensive care physicians have been quick to incorporate this important tool into their armamentarium [ 1 , 2 , 4 – 6 , 9 ]. This also reinforces the need to impose training and certification on the use of this tool within our discipline in order to ensure its wider implementation in the near future [ 125 ].…”

Section: Discussionmentioning

confidence: 99%

“…Lung damage in COVID-19 pneumonia is mainly localized to the peripheral regions of the lungs, thus easily accessible to ultrasound [ 3 ]. The sensitivity and negative predictive value of LUS for COVID-19 pneumonia are both higher compared with those for chest X-ray [ 4 ]. Moreover, many studies show a close correlation between LUS and computed tomography (CT) scan findings [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care expert consensus statement on the use of lung ultrasound in critically ill patients with coronavirus disease 2019 (ITACO)

Vetrugno

Mojoli

Cortegiani

et al. 2021

J Anesth Analg Crit Care

View full text Add to dashboard Cite

Background To produce statements based on the available evidence and an expert consensus (as members of the Lung Ultrasound Working Group of the Italian Society of Analgesia, Anesthesia, Resuscitation, and Intensive Care, SIAARTI) on the use of lung ultrasound for the management of patients with COVID-19 admitted to the intensive care unit. Methods A modified Delphi method was applied by a panel of anesthesiologists and intensive care physicians expert in the use of lung ultrasound in COVID-19 intensive critically ill patients to reach a consensus on ten clinical questions concerning the role of lung ultrasound in the following: COVID-19 diagnosis and monitoring (with and without invasive mechanical ventilation), positive end expiratory pressure titration, the use of prone position, the early diagnosis of pneumothorax- or ventilator-associated pneumonia, the process of weaning from invasive mechanical ventilation, and the need for radiologic chest imaging. Results A total of 20 statements were produced by the panel. Agreement was reached on 18 out of 20 statements (scoring 7–9; “appropriate”) in the first round of voting, while 2 statements required a second round for agreement to be reached. At the end of the two Delphi rounds, the median score for the 20 statements was 8.5 [IQR 8.9], and the agreement percentage was 100%. Conclusion The Lung Ultrasound Working Group of the Italian Society of Analgesia, Anesthesia, Resuscitation, and Intensive Care produced 20 consensus statements on the use of lung ultrasound in COVID-19 patients admitted to the ICU. This expert consensus strongly suggests integrating lung ultrasound findings in the clinical management of critically ill COVID-19 patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care expert consensus statement on the use of lung ultrasound in critically ill patients with coronavirus disease 2019 (ITACO)

Vetrugno

Mojoli

Cortegiani

et al. 2021

J Anesth Analg Crit Care

View full text Add to dashboard Cite

show abstract

“…This necessitated diagnostic methods providing the fast diagnosis of potential complications and disease progress. Especially lung US presents a possible, if not even superior alternative to computed tomography scan or pCXR for the evaluation of COVID-19 pneumonia, especially in a resource-limited settings and vulnerable groups (pregnant, children) [ 166 , 167 , 168 , 169 , 170 , 171 ]. POC diagnostics decrease the need for patient relocations and thereby the potential risk of transport related adverse events and further infection transmission while saving time.…”

Section: Point-of-care Imaging Proceduresmentioning

confidence: 99%

Diagnostic Modalities in Critical Care: Point-of-Care Approach

et al. 2021

View full text Add to dashboard Cite

The concept of intensive care units (ICU) has existed for almost 70 years, with outstanding development progress in the last decades. Multidisciplinary care of critically ill patients has become an integral part of every modern health care system, ensuing improved care and reduced mortality. Early recognition of severe medical and surgical illnesses, advanced prehospital care and organized immediate care in trauma centres led to a rise of ICU patients. Due to the underlying disease and its need for complex mechanical support for monitoring and treatment, it is often necessary to facilitate bed-side diagnostics. Immediate diagnostics are essential for a successful treatment of life threatening conditions, early recognition of complications and good quality of care. Management of ICU patients is incomprehensible without continuous and sophisticated monitoring, bedside ultrasonography, diverse radiologic diagnostics, blood gas analysis, coagulation and blood management, laboratory and other point-of-care (POC) diagnostic modalities. Moreover, in the time of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, particular attention is given to the POC diagnostic techniques due to additional concerns related to the risk of infection transmission, patient and healthcare workers safety and potential adverse events due to patient relocation. This review summarizes the most actual information on possible diagnostic modalities in critical care, with a special focus on the importance of point-of-care approach in the laboratory monitoring and imaging procedures.

show abstract

“…Studies indicate that thorax ultrasound can surpass the current standard of care, both in speed and diagnosis in cases of respiratory failure [ 24 ]. Lung ultrasound (LUS) has good sensitivity in detecting lung pathology (bacterial or viral) [ 25 , 26 ]. Regarding COVID-19, studies report a high correlation between the clinical findings of the LUS and the chest CT examination [ 27 , 28 , 29 , 30 , 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

Barros

Lacerda

Albuquerque

et al. 2021

Sensors

View full text Add to dashboard Cite

Deep Learning is a very active and important area for building Computer-Aided Diagnosis (CAD) applications. This work aims to present a hybrid model to classify lung ultrasound (LUS) videos captured by convex transducers to diagnose COVID-19. A Convolutional Neural Network (CNN) performed the extraction of spatial features, and the temporal dependence was learned using a Long Short-Term Memory (LSTM). Different types of convolutional architectures were used for feature extraction. The hybrid model (CNN-LSTM) hyperparameters were optimized using the Optuna framework. The best hybrid model was composed of an Xception pre-trained on ImageNet and an LSTM containing 512 units, configured with a dropout rate of 0.4, two fully connected layers containing 1024 neurons each, and a sequence of 20 frames in the input layer (20×2018). The model presented an average accuracy of 93% and sensitivity of 97% for COVID-19, outperforming models based purely on spatial approaches. Furthermore, feature extraction using transfer learning with models pre-trained on ImageNet provided comparable results to models pre-trained on LUS images. The results corroborate with other studies showing that this model for LUS classification can be an important tool in the fight against COVID-19 and other lung diseases.

show abstract

Lung Ultrasound vs. Chest X-Ray Study for the Radiographic Diagnosis of COVID-19 Pneumonia in a High-Prevalence Population

Cited by 32 publications

References 35 publications

Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care expert consensus statement on the use of lung ultrasound in critically ill patients with coronavirus disease 2019 (ITACO)

Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care expert consensus statement on the use of lung ultrasound in critically ill patients with coronavirus disease 2019 (ITACO)

Diagnostic Modalities in Critical Care: Point-of-Care Approach

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

Contact Info

Product

Resources

About