Investigating perioperative heart migration during Robot-Assisted Coronary Artery Bypass Grafting interventions
Published in Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery, 2011
Recommended citation: Linte CA, Cho DS, Wedlake C, Moore J, Chen ECS, Bainbridge D, Patel R, Peters T, Kiaii BB, (2011). "Investigating perioperative heart migration during Robot-Assisted Coronary Artery Bypass Grafting interventions"; in Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery, 6(5), pp. 323-330. https://doi.org/10.1097/imi.0b013e3182374e7e
Objective: For robot-assisted coronary artery bypass graft interventions, surgeons typically use a preoperative thoracic computed tomography scan of the patient to plan the procedure. However, the cardiac anatomy is prone to changes induced perioperatively in the effort to access the heart and surgical targets, which, in turn, may invalidate the initial plan. This article presents a method to estimate the perioperative heart migration, information which can be further exploited to refine the preoperative surgical plan.
Methods: Tracked transesophageal ultrasound images of four patients’ hearts were acquired at each stage in the procedure: before lung deflation, after lung deflation, and after both lung deflation and CO2 thoracic insufflation. Anatomic features of interest—the mitral and aortic valves—were identified from each dataset, and their movement between the different procedure stages was recorded and used to estimate the global heart displacement. Moreover, the local morphology of the features of interest was investigated to provide insight on the extent of the deformation the heart has undergone during the workflow.
Results: The study suggested that the heart does undergo substantial displacement—on the order of 10 to 15 mm in each direction (axial, coronal, and sagittal) after lung deflation and CO2 thoracic insufflation. However, no significant differences (P > 0.1) were observed in the morphologic characteristics of the features of interest across the multiple workflow stages, suggesting that local deformations occur at a much smaller scale compared with the global migration.
Conclusions: The quantification of the perioperatively induced changes is critical to track the displacement of the heart and surgical targets. The recorded migration patterns should not be ignored but rather be used to update the surgical plan to better suit the intraoperative environment.