Bioengineering | College of Engineering
Predicting Recovery in Heart Failure Using Microscopy and Image Processing
Frank Sachse, Associate Professor
Patients with end-stage heart failure (HF) benefit from the implantation of left ventricular assist devices (LVADs). The two primary functions of these devices are first to restore cardiac output by active propulsion of blood from the left ventricle to the aorta and second to produce mechanical unloading of the left ventricle. Several studies demonstrated that a significant number of patients (‘responders’) with end-stage dilated cardiomyopathy and end-stage HF can recover substantial cardiac function following left ventricular unloading.
Patients with chronic HF that rely on implanted LVADs are usually placed on a list of individuals destined to receive heart transplants. This list includes responders as well as non-responders. Clearly it would be desirable that potential responders undergo clinical protocols, which might lead to cardiac recovery and thus help to preserve hearts for other patients.
A critical barrier to the treatment of end-stage HF patients exists because, until now, it has not been possible to predict at time of LVAD implantation if a patient will respond to unloading with sustained cardiac recovery. Our prior studies suggest that we have a criterion that will allow us to decide whether a patient is likely to be a responder. The criterion is derived from microscopic images of cardiac tissue that are analyzed with methods of image processing.
The stipend for this SPUR project is funded by an American Heart Association grant awarded to Dr. Stavros Drakos, MD, PhD. The stipend for this project is $4,000 instead of $5,000 due to grant funding limitations.