title: Functional cardiac CT and MR: effects of heart rate and software applications on measurement validity.
abstract: This study sought to validate different software applications for cardiac function analysis using ECG-gated CT and MR datasets in correlation with underlying heart rate. Ten patients and a set of ventricular phantoms underwent concurrent multislice-CT and cine-MR imaging for evaluation of cardiac function. Datasets from both imaging modalities were evaluated utilizing 2 volumetric analysis tools to determine left ventricular volume and mass. Initially, intraobserver measurement variability was assessed. Detected measurement variability was correlated with underlying absolute magnitude of cardiac volumes and masses. Subsequently, results were statistically evaluated by determining significant data variability depending on imaging modality and choice of evaluation software. Finally, the data variability was correlated with underlying heart rates. This study showed that all analyzed datasets uniformly presented intraobserver variations below 2%, and variability was not related to the magnitude of measurement. Significant measurement accuracy was proven in all calculated parameters obtained from the cardiac phantoms. Acquired patient datasets and calculated functional parameters showed significant data homogeneity, with measurement variability coefficients ranging from 0.935-0.955. CT datasets showed maximal data variability at heart rates below 60 BpM. MR datasets showed maximal data variability at heart rates above 90 BpM. In conclusion, CT and MR datasets allowed an interchangeable utilization of volumetric analysis tools. However, reliable volumetric analysis was limited to an optimal range of cardiac rates for each modality, thus emphasizing the necessity of reporting volumetric measurement results in combination with heart rate to allow for consideration of this possible cause for measurement variation.
authors.affiliation: Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio 44106-5056, USA. boll@uhrad.com
authors.forename: Daniel T
authors.initials: DT
authors.lastname: Boll
authors.forename: Robert C
authors.initials: RC
authors.lastname: Gilkeson
authors.forename: Elmar M
authors.initials: EM
authors.lastname: Merkle
authors.forename: Thorsten R
authors.initials: TR
authors.lastname: Fleiter
authors.forename: Jeffrey L
authors.initials: JL
authors.lastname: Duerk
authors.forename: Jonathan S
authors.initials: JS
authors.lastname: Lewin
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D003327:Coronary Disease / Q000175:diagnosis*; D004562:Electrocardiography / Q000379:methods; D005260:Female; D006321:Heart / Q000000981:diagnostic imaging* / Q000502:physiology; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012986:Software Validation; D014057:Tomography, X-Ray Computed / Q000379:methods*; D016277:Ventricular Function, Left / Q000502:physiology