1. Nenad Filipović, Univerzitet u Kragujevcu, Serbia
In H2020 project SILICOFCM Familial cardiomyopathies (FCM) as most commonly diagnosed disease of the heart is investigated and software platform has been developed. Hypertrophic cardiomyopathy (HCM) is characterized by the thickening of the left ventricular muscle of the heart, and it is a major cause of sudden cardiac death. Many patient suffering from HCM remain asymptomatic with normal life expectancy, but unfortunately some of them may die suddenly of cardiac arrest with no previous signs. There are several different phenotype of FCM or HCM disease where heart suffers from structural changes such as hypertrophy, cardiomyocyte disarray, fibrosis, as well as ion-channel dysfunction. This may create an unstable electrical field which could lead to arrhythmia. Computer simulations are used to design and safely test new products in virtual patients.
We simulated different QRS morphology and T waves for different HCM cases. Data from patients are imported from DICOM images and 3D reconstruction for left and right ventricle has been applied. We found that increased wall thickness could not explain the QRS and T wave abnormalities observed in different patient groups. Impact of tissue microstructure on the ECG, and evaluated the effect of fiber disarray and altered conduction velocity due to fibrosis or hypertrophy in various regions of the myocardium was examined. The influence of altering the conduction system by modifying the activation sequence of the ventricles, and the coupling between the Purkinje endocardial layer and the myocardium was also investigated.
We believe that with SILICOFCM software tool project we will give FCM or HCM personal medicine prediction using finite element, data mining and image processing tools in order to make risk stratification for each patient personally.
Ključne rečitestttt :
SIMPOZIJUM B - Biomaterijali i nanomedicina