High-throughput, Fully Automated Volumetry for Prediction of MMSE and CDR Decline in Mild Cognitive Impairment

作者：Kovacevic Sanja; Rafii Michael S; Brewer James B^*

来源：Alzheimer Disease and Associated Disorders, 2009, 23(2): 139-145.

DOI：10.1097/wad.0b013e318192e745

• hippocampus
• temporal horn
• amygdala
• atrophy
• magnetic resonance imaging
• memory
• mild cognitive impairment
• automated segmentation

Medial temporal lobe (MTL) atrophy is associated with increased risk for conversion to Alzheimer disease, but manual tracing techniques and even semiautomated techniques for volumetric assessment are not practical in the clinical setting. In addition, most studies that examined MTL atrophy in Alzheimer disease have focused only on the hippocampus. It is unknown the extent to which volumes of amygdala and temporal horn of the lateral ventricle predict subsequent clinical decline. This study examined whether measures of hippocampus, amygdala, and temporal horn volume predict clinical decline over the following 6-month period in patients with mild cognitive impairment (MCl). Fully automated volume measurements were performed in 269 MCl patients. Baseline volumes of the hippocampus, amygdala, and temporal horn were evaluated as predictors of change in Mini-mental State Examination and Clinical Dementia Rating Stun of Boxes over a 6-month interval. Fully automated measurements of baseline hippocampus and amygdala volumes correlated with baseline delayed recall scores. Patients with smaller baseline volumes of the hippocampus and amygdala or larger baseline volumes of the temporal horn had more rapid subsequent clinical decline on Mini-mental State Examination and Clinical Dementia Rating Stun of Boxes. Fully automated and rapid measurement of segmental MTL volumes may help clinicians predict clinical decline in MCl patients.

• 出版日期2009-6