Mechanical ventilation (MV) is widely used in intensive care units (ICUs) and surgical centers. Its monitoring is essential to help recognize asynchronies and prevent injuries for all patients, especially when the patient has serious lung injuries1,2,3,4,5,6. Monitoring respiratory mechanics can also contribute to the clinical understanding of the disease progression and therapeutic applications, such as the use of positive end-expiratory pressure (PEEP) or the alveolar recruitment maneuver (ARM). However, the use of these techniques requires a proficient understanding of curves and basic lung mechanics3,4.
Students, residents, and medical professionals feel insecure about MV management, from turning on the ventilator and initial adjustments to monitoring plateau and driving pressures, and this insecurity is associated with a lack of knowledge and adequate prior training7,8,9,10. We observed that professionals who participated in simulations and used a lung model reported greater confidence, understanding of the parameters, and understanding of the components of lung mechanics8,11,12.
Models for studying and training MV with test lungs, bellows, and pistons can simulate different pressures and volumes, as well as different lung mechanics conditions13,14,15. Computational and software models also contribute to the study of cardiopulmonary interaction by generating simulations that can be used to teach the principles of MV11 to health professionals16,17.
While computational models may present difficulties in representing pulmonary hysteresis16, models with test lung and bellows13,14,15can produce pressure-volume curves similar to the physiological curve and demonstrate pulmonary dynamics. As an advantage, the ex vivo porcine lung presents similar anatomy to humans18, also producing MV curves, pulmonary hysteresis, and providing visual feedback of the lungs inside the acrylic box during the lung mechanics analysis. Visual models are important and can help understand difficult-to-imagine components and concepts. Thus, ex vivo lung models represent a practical way of teaching.
Studies with ex vivo porcine lungs, such as those on MV with positive and negative pressure19,20,21, analysis of aerosol distribution22,23, pediatric simulations24, and lung perfusion25 can improve the knowledge on MV. Recent studies analyzing models in positive and negative pressure have shown that positive-pressure ventilation can lead to abrupt recruitment with greater local deformation, greater distension, hysteresis curve differences, and possible tissue lesions compared to negative pressure pressure19,20,21. Nevertheless, positive-pressure models are necessary because patients are under positive pressure during MV pressure19,20,21. The development of a lung model for preclinical studies opens possibilities for new research and applications, including MV teaching and training.
Here, we present an ex vivo porcine lung model for studying and training purposes. Our primary objective is to describe the steps for the generation of this ex vivo porcine lung model under positive-pressure MV. It can be used in the future to study and teach lung mechanics.