Lung ultrasound and supine chest X-ray use in modern adult intensive care: mapping 30 years of advancement (1993-2023).
Luigi VetrugnoDaniele Guerino BiasucciCristian DeanaSavino SpadaroFiorella Anna LombardiFederico LonghiniLuigi PisaniEnrico BoeroLorenzo CereserGianmaria CammarotaSalvatore Maurizio MaggiorePublished in: The ultrasound journal (2024)
In critically ill patients with acute respiratory failure, thoracic images are essential for evaluating the nature, extent and progression of the disease, and for clinical management decisions. For this purpose, computed tomography (CT) is the gold standard. However, transporting patients to the radiology suite and exposure to ionized radiation limit its use. Furthermore, a CT scan is a static diagnostic exam for the thorax, not allowing, for example, appreciation of "lung sliding". Its use is also unsuitable when it is necessary to adapt or decide to modify mechanical ventilation parameters at the bedside in real-time. Therefore, chest X-ray and lung ultrasound are today's contenders for shared second place on the podium to acquire a thoracic image, with their specific strengths and limitations. Finally, electrical impedance tomography (EIT) could soon have a role, however, its assessment is outside the scope of this review. Thus, we aim to carry out the following points: (1) analyze the advancement in knowledge of lung ultrasound use and the related main protocols adopted in intensive care units (ICUs) over the latest 30 years, reporting the principal publications along the way, (2) discuss how and when lung ultrasound should be used in a modern ICU and (3) illustrate the possible future development of LUS.
Keyphrases
- mechanical ventilation
- dual energy
- computed tomography
- intensive care unit
- magnetic resonance imaging
- respiratory failure
- acute respiratory distress syndrome
- high resolution
- image quality
- positron emission tomography
- contrast enhanced
- spinal cord
- deep learning
- ejection fraction
- extracorporeal membrane oxygenation
- ultrasound guided
- healthcare
- machine learning
- contrast enhanced ultrasound
- emergency department
- chronic kidney disease
- prognostic factors
- convolutional neural network
- young adults
- adverse drug
- artificial intelligence
- electronic health record
- pet ct
- drug induced