HAI Book 2025 - Flipbook - Page 69
Zhang, Jiaxiuxiu
Exploring Centiloids robustness: Impact of sample size and image
resolution on Centiloid conversion accuracy
Jiaxiuxiu Zhang1, Daniel Schonhaut1, Jhony Mejia Perez1, Ganna Blazhenets1, Zoe Lin1, William
Jagust2, Theresa Harrison2, Lea Grinberg1, Salvatore Spina1, William Seeley1, Gil Rabinovici1,
Renaud La Joie1
1
Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, US
Neuroscience Department, University of California, Berkeley, Berkeley, CA, US
2
Background: As Centiloids are increasingly used in trials and clinical settings to guide patient diagnosis and
management, better characterization of noise sources is essential. We examined two potential factors driving
measurement error: 1) variability in the SUVR-to-CL conversion equation related to random sampling of the
calibration dataset and 2) PET resolution.
Methods: We analyzed [11C]PIB scans in 200 participants with a clinical diagnosis of AD and 114 amyloid-negative
participants (based on negative CSF, neuropathological assessment, or being a healthy control
