The relation between cardiac 123I-mIBG scintigraphy and functional response 1 year after CRT implantation

D O Verschure1,2, E Poel1, G De Vincentis3

  • 1Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location Amsterdam Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands.

Insights

Cardiac sympathetic activity assessed by 123I-mIBG scintigraphy can predict response to cardiac resynchronization therapy (CRT). This imaging technique may help optimize patient selection for CRT in chronic heart failure (CHF).

Area of Science:

  • Cardiology
  • Nuclear Medicine
  • Medical Imaging

Background:

  • Cardiac resynchronization therapy (CRT) is a key treatment for chronic heart failure (CHF).
  • Current CRT eligibility relies on left ventricular ejection fraction (LVEF), QRS duration, and NYHA functional class.
  • A significant portion of CHF patients do not respond to CRT, necessitating improved patient selection criteria.

Purpose of the Study:

  • To investigate the utility of 123I-meta-iodobenzylguanidine (123I-mIBG) scintigraphy in predicting CRT response.
  • To determine if cardiac sympathetic activity, assessed by 123I-mIBG, can optimize patient selection for CRT.

Main Methods:

  • Seventy-eight stable CHF patients undergoing CRT implantation were enrolled.
  • 123I-mIBG scintigraphy was performed, calculating early and late heart-to-mediastinum (H/M) ratios and 123I-mIBG washout.
  • CRT response was defined by improvements in LVEF, QRS duration, or NYHA class.

Main Results:

  • Late H/M ratio and hypertension independently predicted LVEF improvement to >35%.
  • Early H/M ratio, LVEF, and absence of diabetes mellitus predicted LVEF improvement by >10%.
  • No independent predictors were identified for QRS shortening or NYHA class improvement.

Conclusions:

  • Early and late H/M ratios are independent predictors of CRT response when LVEF improvement is the response measure.
  • 123I-mIBG scintigraphy shows potential as a tool to enhance the selection of CRT candidates.
Abstract