Optimal Target Region for Subject Classification on the Basis of Amyloid PET Images

• Published in: Journal of Nuclear Medicine Vol. 56; no. 9; pp. 1351 - 1358
• Main Authors: Carbonell, Felix, Zijdenbos, Alex P., Charil, Arnaud, Grand’Maison, Marilyn, Bedell, Barry J.
• Format: Journal Article
• Language: English
• Published: United States Society of Nuclear Medicine 01.09.2015
• Subjects: Aged; Algorithms; Alzheimer Disease - diagnostic imaging; Alzheimer Disease - metabolism; Alzheimer's disease; Amyloid beta-Peptides - metabolism; Aniline Compounds - pharmacokinetics; Brain - diagnostic imaging; Brain - metabolism; Classification; Cognition & reasoning; Discriminant analysis; Ethylene Glycols - pharmacokinetics; Female; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Male; Neuropsychology; Nuclear medicine; Positron-Emission Tomography - methods; Radiopharmaceuticals; Reproducibility of Results; Sensitivity and Specificity; Severity of Illness Index; Tissue Distribution; Tomography; 18F-florbetapir; mild cognitive impairment; Alzheimer disease; PET; β-amyloid

Classification of subjects on the basis of amyloid PET scans is increasingly being used in research studies and clinical practice. Although qualitative, visual assessment is currently the gold standard approach, automated classification techniques are inherently more reproducible and efficient. The...