Left-ventricular shape analysis for predicting sudden cardiac death risk.
Implantation of cardioverter defibrillators is the most widely used primary preventive care for sudden cardiac death (SCD). Current clinical practice of using a left-ventricular ejection fraction threshold as the sole criterion for defibrillator insertion results in many unnecessary implantations. To address the need for alternative criteria, we seek three-dimensional shape metrics of the left ventricle derived from clinical cardiac magnetic resonance images that can predict SCD risk. The present study is a proof-of-concept, where we have combined image-processing and computational anatomy techniques to develop a processing pipeline to statistically compare localized left ventricular shape metrics between patient groups. We tested the methodology with data from a small cohort of patients, classified into two groups based on SCD risk. The results demonstrate that our approach is able to locate systematic wall thickness differences between the two groups.
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA. fijoy@jhu.edu
Fijoy
F
Vadakkumpadan
Natalia
N
Trayanova
Laurent
L
Younes
Katherine C
KC
Wu
D000465:Algorithms; D006333:Heart Failure / Q000401:mortality* / Q000473:pathology*; D006352:Heart Ventricles / Q000473:pathology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data*; D015994:Incidence; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011379:Prognosis; D015203:Reproducibility of Results; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D016019:Survival Analysis; D015996:Survival Rate