Thoracic Ultrasound in Others Scenarios: An Expanding Tool

Area of Science:

• Pulmonology
• Medical Imaging
• Diagnostic Techniques

Background:

• Thoracic ultrasound (TU) is a cornerstone in managing thoracic conditions, including chronic lung and pulmonary vascular diseases.
• It plays a vital role in both early assessment and ongoing therapeutic monitoring.
• Respiratory muscle dysfunction assessment and treatment are critical for patients with acute and chronic respiratory failure.

Purpose of the Study:

• To explore novel techniques in thoracic imaging, emphasizing the role of ultrasound.
• To highlight the potential of artificial intelligence (AI) in enhancing ultrasound data analysis.
• To discuss the necessity of structured training and competency standards for TU.

Main Methods:

• Review of current applications and evidence supporting thoracic ultrasound in clinical practice.
• Exploration of emerging ultrasound biomarkers and advanced imaging techniques.
• Discussion of AI's role in pattern recognition and quantitative assessment of imaging data.

Main Results:

• Strong evidence supports ultrasound's diagnostic and procedural utility in various clinical settings.
• Novel ultrasound biomarkers and advanced techniques are anticipated to emerge.
• AI demonstrates significant potential for improving accuracy and reproducibility in ultrasound assessments.

Conclusions:

• Thoracic ultrasound is indispensable for modern thoracic disease management.
• Integrating AI and developing standardized training are key opportunities for advancing TU.
• Addressing challenges and exploring new clinical scenarios will further optimize TU's application.