Partial volume effect of SPECT images in PRRT with 177Lu labelled somatostatin analogues: A practical solution. (January 2019) - Finocchiaro, Domenico
Highlights: Quantitative imaging is of foremost importance in Molecular Radionuclide Therapies. Partial Volume Effect (PVE) is one of the most important source of error in quantitative imaging. To date, methods developed do not correct completely for PVE and are more or less easy to apply in clinics. PVE correction based on Recovery Coefficients derived from phantom measurements is a rough but simple method. Abstract: Background: At present activity quantification is one of the most critical step in dosimetry calculation, and Partial Volume Effect (PVE) one of the most important source of error. In recent years models based upon phantoms that incorporate hot spheres have been used to establish recovery models. In this context the goal of this study was to point out the most critical issues related to PVE and to establish a model closer to a biological imaging environment. Methods: Two different phantoms, filled with a 177 Lu solution, were used to obtain the PVE Recovery Coefficients (RCs): a phantom with spherical inserts and a phantom with organ-shaped inserts. Two additional phantoms with inserts of various geometrical shapes and an anthropomorphic phantom were acquired to compare the real activities to predicted values after PVE correction. Results: The RCs versus volume of the inserts produced two different curves, one for the spheres and one for the organs. After PVE correction, accuracy on activity quantification averaged over all inserts of three test phantoms passed from −26% to 1.3% (from 26% to 10% for absolute values). Conclusion: RCs is a simple method for PVE correction easily applicable in clinical routine. The use of two different models for organs and lesions has permitted to closely mimic the situation in a living subject. A marked improvement in the quantification of activity was observed when PVE correction was adopted, even if further investigations should be performed for more accurate models of PVE corrections.