[The role of 3D technology in the support of mechanical circulation therapy.]

INTRODUCTION

Successful mechanical circulatory support is influenced by various factors, which are difficult or impossible to control. For ideal functioning of the left ventricular assist device inflow-cannula, its axis should be close to parallel with the septum, facing the mitral valve within the left ventricle. Numerous international publications discuss that deviation from optimal implantation can lead to inadequate functioning and serious complications.

OBJECTIVE

Our objective was to developing a method, which, using 3D technology, anatomical and hydrodynamic data, makes optimal surgical implantation of the left ventricular assist device possible.

METHOD

Data of 57 patients, receiving mechanical circulatory support at Semmelweis University, Heart and Vascular Center, were analyzed retrospectively. Results of operations performed with the patented novel navigation device (exoskeleton) were compared with results of operations performed conventionally, without navigation (control group). Following pairing based on estimated participation probability, postoperative data of 7-7 patients were compared. DICOM files from CT angiography images were used to create virtual geometries of individual hearts. Optimal inflow-cannula angle was determined through hydrodynamic simulation. Exoskeletons were printed using synthetic resin suitable for surgical purposes. Exoskeleton templates guided punch knife positioning and inflow-cannula implantation.

RESULTS

Evaluation of postoperative CT angiography images showed that the angle between inflow-cannula and interventricular septum significantly differed in the exoskeleton and control groups (10.13° ± 2.69° vs. 22.87° ± 12.38°, p = 0.0208). Hydrodynamic tests found significantly lower turbulence in the exoskeleton group. Simulated turbulent kinetic energy was significantly lower in the exoskeleton group, which was 11.7 m2/s2 ± 9.39 m2/s2 vs. 49.59 m2/s2 ± 7.61 m2/s2 on average.

CONCLUSION

The results suggest left ventricular assist device implantation with patented exoskeleton to be a standardizable, safe and effective method. Preliminary results suggest, that the method may facilitate individualized care, reduce surgical time and incidence of serious complications. Orv Hetil. 2023; 164(26): 1026-1033.

[Personalized medicine and healthcare: where are we now, where should we go?]

The authors of this manuscript are representatives of different subdisciplines of medicine, all of them are experienced researchers. As of their origin, they are practicing doctors from the primary care and from the clinical/hospital setting, diagnostics experts, researchers from healthcare management, health economics, representatives of patients' rights and patient organizations. They are all devoted to the implementation of personalized medicine and personalized healthcare in Hungary. The current manuscript - also meant to be a keynote message provoking further discussion in the medical community - is devoted to correcting for two false ideas. One is that personalized medicine is not yet ready for practical applications, it is merely a research area of futurologists. The other false idea is that only (or mainly) the lack of financial resources hinders the introduction of personalized healthcare in Hungary. Orv Hetil. 2023; 164(6): 202-209.

[Computer-assisted decision-making in cardiac surgery: from 3D preoperative planning to computational fluid dynamics in the design of surgical procedures]

INTRODUCTION

Although surgical specialties utilize static models for preoperative planning, the evolution of dynamic planning methods and computer simulations created the opportunity for the introduction of dynamic parameters in cardiac surgery. Our aim was to apply 3D models in cardiac surgical practice, predicting fluid dynamic results, ventricular shape, volume and function before the operation.

METHODS

Using a script developed by us, the raw DICOM files were imported, the dilated left ventricle was modeled and fluid dynamic parameters were simulated, such as flow kinematic and profile analysis, turbulence calculation and myocardial response to shear stress. Then step-by-step simulation of the surgical ventricle restoration procedure was accomplished and the calculated variables were imbedded in silico model. The length of resection lines was modified based on the previous computer simulation and applied during the operation, if feasible.

RESULTS

The sphericity and conicity indexes were improved significantly in postoperative period (0.42 vs. 0.67 and 0.36 vs. 0.72, p < 0.05). The occurred shear stress at endocardium decreased 83% due to the normalization of flow kinematic pattern of the ventricle in postoperative period (132.21 ± 29.5 dyne/cm² vs. 22.92 ± 10.3 p < 0.05 dyne/‌cm²). The postoperative turbulent flow pattern significantly decreased, according to our computational method (2712 vs. 1823, p < 0.0001).

CONCLUSION

With our method, the standardization of the surgical ventricle reconstruction was achievable and the surgical steps were predictable. Therefore, a new decision making support system was established in cardiac surgery for high risk patients. A personalized surgical technique was offered to our patients, improving their life expectancy and quality of life.

[Big Data- challenges and risks]

The term "Big Data" is commonly used to describe the growing mass of information being created recently. New conclusions can be drawn and new services can be developed by the connection, processing and analysis of these information. This affects all aspects of life, including health and medicine. The authors review the application areas of Big Data, and present examples from health and other areas. However, there are several preconditions of the effective use of the opportunities: proper infrastructure, well defined regulatory environment with particular emphasis on data protection and privacy. These issues and the current actions for solution are also presented.