An apparatus and method for detecting and diagnosing interventricular dyssynchrony



The Need

Interventricular dyssynchrony is a condition where the right and left ventricles of the heart fail to contract insync. Biventricular pacing, a form of cardiac resynchronization therapy (CRT), is an approved modality for treating ventricular failure when interventricular dyssynchrony is present and shows improvement in survival as well as symptoms in patients with congestive heart failure. Response to CRT, however, is variable and is difficult to predict. For example, studies show that over 30 percent of patients receiving CRT do not experience any benefit, indicating that accurate detection of interventricular dyssynchrony is not well established. This may be due in part to insufficient characterization by current diagnostic techniques based on modalities such as EKG or Doppler echocardiology. There is a need for an improved method and apparatus for detecting interventricular dyssynchrony.

The Market

  • The global cardiac rhythm management (CRM) market, including cardiac resynchronization pacemaker and cardiac resynchronization defibrillator devices, is forecast to increase at a compound annual growth rate of 4.6% to more than $15.7 billion by 2020 (GlobalData).
  • The increasing global prevalence of major risk factors such as obesity, diabetes and hypertension is driving demand for CRM diagnostic technologies and therapies, especially in emerging markets such as Asia-Pacific and South America.
  • Affordability issues in emerging markets are placing an emphasis on improved diagnostic techniques that can reduce the incidence of device implantation in patients unlikely to experience benefit from CRT. As healthcare reform progresses in developed markets, such as the U.S., similar efforts to contain costs are expected to arise.

The Technology

The Ohio State University reseachers led by Dr. Subha Raman developed an apparatus and method for detecting and diagnosing interventricular dyssynchrony. The apparatus consists of an image segment processor and an image classifier in operative communication. The process entails receiving source images of the heart that are segmented into left and right ventricles containing cross sections along the short axis plane. The images are temporally-spaced in relation to the cardiac cycle. Images are compared based in part on use of a linear regression model, allowing classification of the heart into a dyssynchronus or non-dyssynchronous class. The apparatus may include an MRI device, an echocardiography device, a multi-detector CT device, a SPECT device or a PET device.




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