Predicting the response to cardiac resynchronization therapy using in silico heart models: pilot study of comparison between in silico and real cardiac resynchronization therapy outcomes

Cardiac resynchronization therapy (CRT) is treatment for patients with heart failure and left ventricular (LV) dyssynchrony. The objective of this study is to evaluate the feasibility of an in silico electromechanical heart model to predict CRT outcomes.

The three-dimensional heart geometries of 11 patients (age, 64.0±10.7 years, 4 men) with CRT were constructed from cardiac computed tomography images. We coupled cardiac electrical excitation and mechanical contraction with vascular hemodynamics using a lumped parameter model. We predicted the LV end-diastolic and end-systolic volumes and LV ejection fraction (LVEF) after CRT implantation using the in silico CRT simulation model. We compared the in silico CRT outcomes with the real CRT outcomes.

Two patients were in silico CRT responders, and those 2 patients were also real CRT responders. Nine patients were in silico CRT non-responders, 8 who were real CRT non-responders, and 1 who was a real CRT responder. The in silico CRT outcomes agreed with the real CRT outcomes in 10 of 11 patients. The positive and negative predictive values and accuracy of the in silico CRT model were 100%, 88.9%, and 90.9%, respectively.

The in silico CRT simulation model is feasible for predicting real CRT outcomes.

In silico CRT simulation model generatio