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• W2024108992 abstract "Subjects with amnestic mild cognitive impairment (MCI) are at a high risk of conversion to Alzheimer's disease (AD). However, there is a time prior to MCI where some subjects report symptoms but have no measurable cognitive impairment (SNCI). Hippocampal atrophy measured using MRI has been shown to increase prior to AD onset. However, to be clinically useful such measures require automation. This study assesses an automated method of generating atrophy rates in MCI and SNCI subjects. Twenty seven controls, 32 SNCI, and 16 MCI received a volumetric MRI and diagnosis at baseline, an MRI at one year and diagnosis at two years. Baseline scans were assessed for best match (R2 in each hippocampal region) against libraries of previously-delineated left and right hippocampi. For each baseline hippocampus its best-matched library subject was used to generate a hippocampal mask using linear registration, region transformation and morphological operations. Boundary shift integral (BSI) between baseline and repeat imaging was applied to these automated regions (aHBSI) and to manually-delineated regions (mHBSI) for comparison. Paired t tests within subject group were used to compare aHBSI and mHBSI. Linear regression was used to assess subject group differences in atrophy rates. At follow-up, 10 subjects progressed from baseline diagnosis. Mean (SD) hippocampal atrophy rates are shown in the table. There was no evidence of a difference between methods within subject groups. Both mHBSI and aHBSI differed across subject groups (p < 0.003, both tests). For SNCI converters vs. stable, mHBSI showed borderline significant differences in mean rates (p = 0.057) whereas aHBSI showed differences (p = 0.003). The reverse was true for MCI converters vs. stable with mHBSI showing a difference in rates (p = 0.047) but not aHBSI (p = 0.12). After adjusting for aHBSI, mHBSI was able to detect a difference in rates between MCI converters vs. stable (p = 0.035) and after adjusting for mHBSI, aHBSI showed a difference in mean rates between SNCI converters vs. stable (p = 0.032). In this small study, completely automated hippocampal atrophy rates gave similar results to those generated using a manual baseline. Such automated methods may be clinically useful in detecting those subjects who progress." @default.
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• W2024108992 date "2009-07-01" @default.
• W2024108992 modified "2023-09-24" @default.
• W2024108992 title "IC-P-060: Automated hippocampal atrophy rates in subjects with and without cognitive impairment" @default.
• W2024108992 doi "https://doi.org/10.1016/j.jalz.2009.05.614" @default.
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