The Quantification Module is completely automated and includes:
- assessments of perfusion defects
- scoring values using the 17-segment model
- ventricular volumes and ejection fraction
The EXINI heart™ method to calculate ejection fractions has been validated in several studies and shown to be more accurate than other cardiac toolboxes [Ref 1-2].
The Quantification module includes assessments of perfusion defects, scoring values using the 17-segment model, ventricular volumes and ejection fractions according to established guidelines [Ref 3]. The EXINI heart™ method to calculate ejection fractions has been validated in several studies, and shown to be more accurate than other cardiac toolboxes [Ref 1, 4-6]. The EXINI heart™ quantification is completely automated thereby avoiding problems with inter-operator variability [Ref 7].
Ref 1
Winz OH et al. Quantification of left ventricular volumes and ejection fraction from gated 99mTc-MIBI SPECT: MRI validation of the EXINI heart software package. Clin Physiol Funct Imaging. 29(2):89-94, 2009
Ref 2
Hedeer F et al. Circulation 2008;118:S1010 Abstract 5819 at the 81st Annual Scientific Session of the American-Heart-Association
Ref 3
Hesse B et al. EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology. Eur J Nucl Med Mol Imaging. 32:855-897, 2005
Ref 4
Hedeer F et al. Gated Myocardial Perfusion SPECT Underestimates Left Ventricular Volumes and Shows High Variability Compared to Cardiac MRI – A Comparison of Four Different Commercial Programs. Circulation. 2008;118:S_1010 Abstract 5819 at the 81st Annual Scientific Session of the American-Heart-Association, 2008
Ref 5
Lomsky M et al. Validation of a new automated method for analysis of gated-SPECT images. Clin Physiol Funct Imaging. 26(3):139-145, 2006
Ref 6
Gjertsson P et al. Evaluation of new automated gated-SPECT and echocardiographic methods for calculating left ventricular volumes and ejection fraction. Int J Cardiol. 136(2):171-177, 2009
Ref 7
Åkesson L et al. Operator Dependent Variability in Quantitative Analysis of Myocardial Perfusion Images. Clin Physiol Funct Imaging. 24(6):374-379, 2004
