Lung & Pleural Ultrasound in Critical Care
BLUE protocol, pleural effusion characterisation, pneumothorax detection & lung consolidation patterns
Course Overview
This focused module addresses the rapidly expanding role of lung and pleural ultrasound in critical care and emergency medicine settings. Participants will learn to apply the BLUE (Bedside Lung Ultrasound in Emergency) protocol for rapid dyspnoea assessment, and develop proficiency in the characterisation of pleural effusions, pneumothorax detection, and lung consolidation patterns.
The course is designed for sonographers and clinicians working in ICU, emergency, or respiratory settings who wish to formalise their POCUS skills. Emphasis is placed on real-time decision-making and the integration of lung ultrasound findings with clinical assessment.
Learning Outcomes
- Apply the BLUE protocol for systematic lung ultrasound assessment in acute dyspnoea
- Identify and characterise pleural effusions including transudates, exudates, and haemothorax
- Detect pneumothorax using the absence of lung sliding and B-line patterns
- Recognise consolidation, atelectasis, and interstitial syndrome patterns
- Perform ultrasound-guided thoracocentesis planning and needle guidance
- Integrate lung ultrasound findings with clinical and haemodynamic assessment
Curriculum
Lung Ultrasound Physics & Artefacts
- Acoustic artefacts in lung imaging
- A-lines, B-lines, and Z-lines
- Transducer selection and positioning
BLUE Protocol
- Systematic scanning approach
- Profile-based diagnosis algorithm
- Acute dyspnoea differential diagnosis
Pleural Pathology
- Effusion characterisation
- Pneumothorax detection
- Pleural thickening and masses
Parenchymal Patterns & Guided Procedures
- Consolidation and hepatisation
- Interstitial syndrome and pulmonary oedema
- Thoracocentesis guidance
Prerequisites
- Clinical experience in ICU, emergency, or respiratory medicine
- Basic ultrasound knowledge
- Access to ultrasound equipment in clinical setting
Assessment
Online MCQ examination (70% pass mark) + clinical case log submission