Quantitative assessment of lung mechanical properties in ARDS using X-ray computed tomography

Area of Science:

• Pulmonary Medicine
• Medical Imaging
• Computational Biology

Background:

• Acute Respiratory Distress Syndrome (ARDS) presents significant spatial heterogeneity in lung structure and mechanics.
• Global physiological measurements are insufficient for managing ventilation and preventing ventilator-induced lung injury (VILI).
• X-ray computed tomography (CT) is crucial for assessing regional lung differences.

Purpose of the Study:

• To review CT-based methods for quantitatively evaluating lung mechanical properties in ARDS.
• To explore how CT advances the understanding of regional ventilation and deformation patterns contributing to VILI.
• To discuss limitations, translational challenges, and future directions in CT for ARDS.

Main Methods:

• Quantitative image processing of CT scans.
• Deformable image registration techniques.
• Computational biomechanical modeling of lung mechanics.
• Analysis of lung aeration, strain, and recruitment.

Main Results:

• CT enables regional assessment of lung strain, recruitment, and mechanical stress in ARDS.
• CT-based methods provide mechanistic understanding of VILI.
• Review covers image acquisition, segmentation, aeration analysis, registration, and modeling.

Conclusions:

• CT is a powerful tool for assessing regional lung mechanics in ARDS.
• Understanding regional heterogeneity is key to optimizing ventilatory management and preventing VILI.
• Emerging CT technologies may enable bedside assessment of lung mechanics in critically ill patients.