PT - JOURNAL ARTICLE AU - Paul E. Christian AU - Simon-Peter Williams AU - Lance Burrell AU - Paulo Castaneda AU - Justin Albiani AU - Nicholas Sandella AU - Andrei Iagaru AU - John M. Hoffman AU - Alex de Crespigny AU - Sandra Sanabria Bohorquez 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.