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- W1995854940 abstract "Alzheimer's disease (AD) and Frontotemporal dementia (FTD) are challenging to discriminate due to large overlap in clinical symptoms and the cognitive domains impaired. The NINCDS-ADRDA criteria for diagnosing probable AD have a sensitivity of 93% but a specificity of only 23% in distinguishing it from FTD as most patients with FTD also fulfilled NINCDS-ADRDA criteria for AD. Since pharmacologic treatments differ for AD and FTD, misdiagnosed patients will incur side effects for no benefit with important negative consequences. We present a comprehensive study in discriminating among Alzheimer's disease, Frontotemporal disease and Healthy Aging (HA) using various biomarkers. The different biomarkers we compare and contrast are volumes, shape, and surface displacements of both hippocampi and lateral ventricles. The volumes and shape features are computed from the binary segmentations obtained via multi-atlas fusion of the segmentations from a cohort of 30 FTD patients, 34 Probable AD patients and 14 age-matched controls. All the biomarkers are studied in a 3-class setting (AD, FTD and HA) using a fixed classifier to obtain the diagnostic value of these biomarkers in the context of differential diagnosis. To date, such a comprehensive study in a 3-class setting hasn't been published to the best of our knowledge." @default.
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- W1995854940 date "2012-07-01" @default.
- W1995854940 modified "2023-09-27" @default.
- W1995854940 title "P1‐160: Differential diagnosis among Alzheimer's disease, frontotemporal disease and healthy aging: Comparative study using subcortical features" @default.
- W1995854940 doi "https://doi.org/10.1016/j.jalz.2012.05.438" @default.
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