RT Journal Article SR Electronic T1 Optimization of 89Zr PET Imaging for Improved Multisite Quantification and Lesion Detection Using an Anthropomorphic Phantom JF Journal of Nuclear Medicine Technology JO J. Nucl. Med. Technol. FD Society of Nuclear Medicine SP 54 OP 57 DO 10.2967/jnmt.119.230474 VO 48 IS 1 A1 Christian, Paul E. A1 Williams, Simon-Peter A1 Burrell, Lance A1 Castaneda, Paulo A1 Albiani, Justin A1 Sandella, Nicholas A1 Iagaru, Andrei A1 Hoffman, John M. A1 de Crespigny, Alex A1 Bohorquez, Sandra Sanabria YR 2020 UL http://tech.snmjournals.org/content/48/1/54.abstract 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.