Details

Autor(en) / Beteiligte

• Gogola, Alexandra
• Lopresti, Brian J
• Tudorascu, Dana
• Snitz, Beth
• Minhas, Davneet
• Doré, Vincent
• Ikonomovic, Milos D
• Shaaban, C Elizabeth
• Matan, Cristy
• Bourgeat, Pierrick
• Mason, N Scott
• Aizenstein, Howard
• Mathis, Chester A
• Klunk, William E
• Rowe, Christopher C
• Lopez, Oscar L
• Cohen, Ann D
• Villemagne, Victor L

Titel

Biostatistical Estimation of Tau Threshold Hallmarks (BETTH) Algorithm for Human Tau PET Imaging Studies

Ist Teil von

• Journal of Nuclear Medicine, 2023-11, Vol.64 (11), p.1798-1805

Ort / Verlag

United States: Society of Nuclear Medicine

Erscheinungsjahr

2023

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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 F-flortaucipir or F-MK-6240 PET scans. F-flortaucipir ( = 798) and F-MK-6240 ( = 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. 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. When F-flortaucipir and F-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.