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LV function validation of computer-assisted interventional system for cardiac resyncronisation therapy.

Maria Panayiotou1, R James Housden2, Athanasius Ishak2

  • 1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK. maria.panayiotou@kcl.ac.uk.

International Journal of Computer Assisted Radiology and Surgery
|April 1, 2018
PubMed
Summary
This summary is machine-generated.

This study validates a new computer-assisted system for cardiac resynchronisation therapy (CRT). The system accurately processes patient data, aiding in identifying CRT responders and assessing left ventricular function during interventions.

Keywords:
Cardiac magnetic resonance imagingCardiac resynchronisation therapyEjection fractionLeft ventricular volumes

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Area of Science:

  • Cardiology
  • Medical Technology
  • Interventional Cardiology

Background:

  • Cardiac resynchronisation therapy (CRT) is a key treatment for heart failure patients with specific electrical conduction abnormalities.
  • High rates of non-response to CRT necessitate improved methods for patient selection and therapy guidance.
  • Computer-assisted interventional platforms offer potential advancements in CRT delivery and optimization.

Purpose of the Study:

  • To validate a novel computer-assisted interventional platform for CRT.
  • To assess the accuracy and speed of information processing in a time-critical interventional setting.
  • To demonstrate the clinical utility of the system for identifying CRT responders and evaluating left ventricular function.

Main Methods:

  • The study involved 3 healthy volunteers and 16 heart failure patients meeting CRT criteria.
  • Data analysis included calculating key left ventricular parameters: end-diastolic volume, end-systolic volume, stroke volume, and ejection fraction.
  • Global volume changes and time to maximal contraction were computed over the cardiac cycle.

Main Results:

  • The interventional system demonstrated excellent correlation with established offline diagnostic tools.
  • Statistical analysis showed high agreement (R values of [Formula: see text] and Pearson correlation coefficient of [Formula: see text]).
  • The system provides accurate data processing within the demands of an interventional procedure.

Conclusions:

  • The validated interventional system exhibits high accuracy for clinical use.
  • This technology can assist cardiologists in identifying potential CRT responders.
  • The system is valuable for assessing left ventricular function during interventional procedures.