European Respiratory Society statement on thoracic ultrasound.
Christian Borbjerg LaursenAmelia CliveRob HallifaxPia Iben PietersenRachelle AsciakJesper Rømhild DavidsenRahul BhatnagarEihab O BedawiNiels JacobsenCourtney ColemanAnthony EdeyGabriele ViaGiovanni VolpicelliGilbert MassardFrancesco RaimondiMatthew EvisonLars KongeJouke AnnemaNajib M RahmanNick MaskellPublished in: The European respiratory journal (2021)
Thoracic ultrasound is increasingly considered to be an essential tool for the pulmonologist. It is used in diverse clinical scenarios, including as an adjunct to clinical decision making for diagnosis, a real-time guide to procedures and a predictor or measurement of treatment response. The aim of this European Respiratory Society task force was to produce a statement on thoracic ultrasound for pulmonologists using thoracic ultrasound within the field of respiratory medicine. The multidisciplinary panel performed a review of the literature, addressing major areas of thoracic ultrasound practice and application. The selected major areas include equipment and technique, assessment of the chest wall, parietal pleura, pleural effusion, pneumothorax, interstitial syndrome, lung consolidation, diaphragm assessment, intervention guidance, training and the patient perspective. Despite the growing evidence supporting the use of thoracic ultrasound, the published literature still contains a paucity of data in some important fields. Key research questions for each of the major areas were identified, which serve to facilitate future multicentre collaborations and research to further consolidate an evidence-based use of thoracic ultrasound, for the benefit of the many patients being exposed to clinicians using thoracic ultrasound.
Keyphrases
- magnetic resonance imaging
- spinal cord
- ultrasound guided
- contrast enhanced ultrasound
- randomized controlled trial
- systematic review
- decision making
- healthcare
- clinical trial
- spinal cord injury
- computed tomography
- study protocol
- palliative care
- working memory
- chronic kidney disease
- newly diagnosed
- electronic health record
- prognostic factors
- artificial intelligence
- big data
- double blind
- acute respiratory distress syndrome
- data analysis
- clinical evaluation