PT  - JOURNAL ARTICLE
AU  - Christian, Paul E.
AU  - Williams, Simon-Peter
AU  - Burrell, Lance
AU  - Castaneda, Paulo
AU  - Albiani, Justin
AU  - Sandella, Nicholas
AU  - Iagaru, Andrei
AU  - Hoffman, John M.
AU  - de Crespigny, Alex
AU  - Bohorquez, Sandra Sanabria
TI  - Optimization of <sup>89</sup>Zr PET Imaging for Improved Multisite Quantification and Lesion Detection Using an Anthropomorphic Phantom
AID  - 10.2967/jnmt.119.230474
DP  - 2020 Mar 01
TA  - Journal of Nuclear Medicine Technology
PG  - 54--57
VI  - 48
IP  - 1
4099  - http://tech.snmjournals.org/content/48/1/54.short
4100  - http://tech.snmjournals.org/content/48/1/54.full
SO  - J. Nucl. Med. Technol.2020 Mar 01; 48
AB  - Our objective was to harmonize multicenter 89Zr PET imaging for oncology trials and to evaluate lesion detection. Methods: Seven PET scanners were evaluated using a custom chest oncology phantom with 9 spheric lesions 7–20 mm in diameter. A 4:1 signal-to-background ratio simulated a patient dose of 92.5 MBq. Various image reconstructions were evaluated. Images were assessed for lesion detection, and recovery coefficients and background signal variance were measured. Results: Two scanners failed to provide acceptable images and data. Optimal reconstruction algorithms enabling adequate lesion detection and reliable quantification across the other 5 scanners were determined without compromising the data quality. On average, 95% of the 10-mm lesions were detected, and the 7-mm lesion was visualized by only 1 scanner. Background variance was 8.6%–16%. Conclusion: We established multicenter harmonization procedures for 89Zr PET imaging in oncology, optimizing small-lesion (≥10 mm) detectability and accurate quantification.