PT - JOURNAL ARTICLE AU - Gogola, Alexandra AU - Lopresti, Brian J. AU - Tudorascu, Dana AU - Snitz, Beth AU - Minhas, Davneet AU - Doré, Vincent AU - Ikonomovic, Milos D. AU - Shaaban, C. Elizabeth AU - Matan, Cristy AU - Bourgeat, Pierrick AU - Mason, N. Scott AU - Aizenstein, Howard AU - Mathis, Chester A. AU - Klunk, William E. AU - Rowe, Christopher C. AU - Lopez, Oscar L. AU - Cohen, Ann D. AU - Villemagne, Victor L. AU - for the Alzheimer’s Disease Neuroimaging Initiative TI - Biostatistical Estimation of Tau Threshold Hallmarks (BETTH) Algorithm for Human Tau PET Imaging Studies AID - 10.2967/jnumed.123.265941 DP - 2023 Nov 01 TA - Journal of Nuclear Medicine PG - 1798--1805 VI - 64 IP - 11 4099 - http://jnm.snmjournals.org/content/64/11/1798.short 4100 - http://jnm.snmjournals.org/content/64/11/1798.full SO - J Nucl Med2023 Nov 01; 64 AB - A methodology for determining tau PET thresholds is needed to confidently detect early tau deposition. We compared multiple threshold-determining methods in participants who underwent either 18F-flortaucipir or 18F-MK-6240 PET scans. Methods: 18F-flortaucipir (n = 798) and 18F-MK-6240 (n = 216) scans were processed and sampled to obtain regional SUV ratios. Subsamples of the cohorts were based on participant diagnosis, age, amyloid-β status (positive or negative), and neurodegeneration status (positive or negative), creating older-adult (age ≥ 55 y) cognitively unimpaired (amyloid-β–negative, neurodegeneration-negative) and cognitively impaired (mild cognitive impairment/Alzheimer disease, amyloid-β–positive, neurodegeneration-positive) groups, and then were further subsampled via matching to reduce significant differences in diagnostic prevalence, age, and Mini-Mental State Examination score. We used the biostatistical estimation of tau threshold hallmarks (BETTH) algorithm to determine sensitivity and specificity in 6 composite regions. Results: Parametric double receiver operating characteristic analysis yielded the greatest joint sensitivity in 5 of the 6 regions, whereas hierarchic clustering, gaussian mixture modeling, and k-means clustering all yielded perfect joint specificity (2.00) in all regions. Conclusion: When 18F-flortaucipir and 18F-MK-6240 are used, Alzheimer disease–related tau status is best assessed using 2 thresholds, a sensitivity one based on parametric double receiver operating characteristic analysis and a specificity one based on gaussian mixture modeling, delimiting an uncertainty zone indicating participants who may require further evaluation.