Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative pulmonary complications due to the confluence of surgical trauma, one-lung ventilation, cardiopulmonary bypass, and sternotomy. This review evaluates the critical role of real-time bedside imaging-specifically lung ultrasound and electrical impedance tomography-in transitioning from empirical, fixed lung-protective ventilation strategies to dynamic, physiology-guided personalization. While conventional computed tomography established the pathophysiology of anesthesia-induced atelectasis, its utility for intraoperative guidance is limited. Lung ultrasound provides rapid, point-of-care morphological assessment for atelectasis, pleural effusion, and pneumothorax, guiding immediate interventions. Electrical impedance tomography offers continuous, radiation-free monitoring of regional ventilation distribution, enabling precise titration of positive end-expiratory pressure and recruitment maneuvers to balance lung recruitment against overdistension-a paramount concern during one-lung ventilation and post cardiopulmonary bypass. We argue that integrating these complementary modalities into a tiered monitoring protocol represents a prerequisite for advanced lung protection in this high-risk population. The future integration of artificial intelligence promises enhanced predictive analytics. We conclude by advocating for structured clinical protocols and multicenter trials to validate the efficacy and cost-effectiveness of this imaging-guided paradigm in improving respiratory outcomes for cardiothoracic surgical patients.
Keywords: clinical decision-making; electrical impedance tomography; lung ultrasound; mechanical ventilation; one-lung ventilation; perioperative care; personalized medicine.
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