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Accuracy of commercially available processing algorithms for planar radionuclide ventriculography using data for a
Pieter De Bondt1, Olivier De Winter, Stijn Vandenberghe
1Division of Nuclear Medicine, Ghent University Hospital, Ghent University, K.U. Leuven, Belgium. pdebondt@skynet.be
Nuclear Medicine Communications
|January 11, 2005
Summary
Automatic ejection fraction (EF) calculations from planar radionuclide ventriculography (PRV) show excellent correlation but underestimate higher EF values. A dynamic phantom is crucial for validating PRV algorithms and ensuring accurate nuclear medicine diagnostics.
Area of Science:
- Nuclear Medicine
- Cardiovascular Imaging
- Medical Physics
Background:
- Planar radionuclide ventriculography (PRV) is widely used in nuclear medicine for ejection fraction (EF) assessment.
- Validation of PRV algorithms is often lacking or uses outdated software.
- Despite limitations, PRV remains a gold standard in many clinical trials.
Purpose of the Study:
- To assess the accuracy of commercial algorithms for calculating EF from PRV.
- To evaluate the performance of these algorithms using a dynamic left ventricular phantom.
Main Methods:
- A dynamic left ventricular phantom simulated 21 EF and end-diastolic volume combinations.
- Planar radionuclide ventriculographs were acquired and processed using 10 different commercial algorithms.
- Correlation and Bland-Altman analyses compared calculated EF to the phantom's true EF.
Main Results:
- Excellent overall correlation (r=0.98) was observed between calculated and real EF.
- Mean difference was acceptable (0.98%), but Bland-Altman analysis revealed underestimation of higher EF values.
- Overestimation of background in larger volumes contributed to the underestimation bias at higher EF ranges.
Conclusions:
- Commercially available PRV algorithms provide EF determination that closely correlates with true EF.
- A dynamic phantom is a valuable tool for developing, validating, and auditing PRV algorithms.
- Phantom-based validation is essential for quality assurance in nuclear medicine EF measurements.