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

• Published in: International journal for computer assisted radiology and surgery 2018-06, Vol.13 (6), p.777-786
• Main Authors: Panayiotou, Maria, Housden, R. James, Ishak, Athanasius, Brost, Alexander, Rinaldi, Christopher A., Sieniewicz, Benjamin, Behar, Jonathan M., Kurzendorfer, Tanja, Rhode, Kawal S.
• Format: Article
• Language: English
• Subjects: Aged; Cardiac Resynchronization Therapy Devices; Computer Imaging; Computer Science; Correlation coefficients; Data analysis; Data processing; Diagnostic software; Diagnostic systems; Equipment Design; Female; Health Informatics; Heart; Heart failure; Heart Failure - diagnosis; Heart Failure - physiopathology; Heart Failure - surgery; Heart Ventricles - diagnostic imaging; Heart Ventricles - physiopathology; Humans; Imaging; Imaging, Three-Dimensional; Magnetic Resonance Imaging, Cine - methods; Male; Medicine; Medicine & Public Health; Middle Aged; Original; Original Article; Patients; Pattern Recognition and Graphics; Radiology; Stroke volume; Stroke Volume - physiology; Surgery; Surgery, Computer-Assisted - instrumentation; Therapy; Treatment Outcome; Ventricular Function, Left - physiology; Vision
• ISSN: 1861-6410; 1861-6429
• DOI: 10.1007/s11548-018-1748-0

Purpose Cardiac resynchronisation therapy (CRT) is an established treatment for symptomatic patients with heart failure, a prolonged QRS duration, and impaired left ventricular (LV) function; however, non-response rates remain high. Recently proposed computer-assisted interventional platforms for CRT provide new routes to improving outcomes. Interventional systems must process information in an accurate, fast and highly automated way that is easy for the interventional cardiologists to use. In this paper, an interventional CRT platform is validated against two offline diagnostic tools to demonstrate that accurate information processing is possible in the time critical interventional setting. Methods The study consisted of 3 healthy volunteers and 16 patients with heart failure and conventional criteria for CRT. Data analysis included the calculation of end-diastolic volume, end-systolic volume, stroke volume and ejection fraction; computation of global volume over the cardiac cycle as well as time to maximal contraction expressed as a percentage of the total cardiac cycle. Results The results showed excellent correlation ( R 2 values of > 0.99 and Pearson correlation coefficient of > 0.98 ) with comparable offline diagnostic tools. Conclusion Results confirm that our interventional system has good accuracy in everyday clinical practice and can be of clinical utility in identification of CRT responders and LV function assessment.