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- W2897522658 abstract "Quantitative brain volumetric data has shown promise in predicting cognitive decline however, due to labor-intensive manual segmentation methods required, this technique has had limited clinical applicability. Our aim was to assess the diagnostic efficacy of using NeuroreaderTM(NR), a FDA cleared automated segmentation software, in patients with mild cognitive impairment (MCI) to supplement neuropsychological testing. 349 MCI patients with 3 year follow up were included of which 155 progressed to AD within 3-years. Clinical data was obtained through the Alzheimer's Disease Neuroimaging Initiative, a publically available North American database. Baseline and 1 year differences in 12 regions of interest (ROI) were analyzed using NeuroreaderTM. Receiver Operating Characteristic (ROC) curves were generated using 1 year changes in Mini Mental Status Exam (MMSE) scores with and without NR metrics. Results were compared using the DeLong method to assess the diagnostic efficacy of NR. Adjusting for age, gender, and education level, combining 1-year changes in NR metrics with MMSE scores outperformed MMSE scores alone. AUC 86.4% (CI 82.7 – 90.2) vs AUC 79.9% (CI 75.2 – 84.6). AUC difference(DeLong), p < .05. Tracking 1 yr. brain volumetry with Neuroreader can improve the prediction of 3 year AD conversion in patients with MCI . Comparing model using 1-year MMSE changes alone (Red) vs. 1-year MMSE changes with 1-year NR changes (Blue). Model combining MMSE and NR out-performed model using MMSE alone (AUC 86.4% vs. AUC 79.9%)." @default.
- W2897522658 created "2018-10-26" @default.
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- W2897522658 date "2018-07-01" @default.
- W2897522658 modified "2023-10-16" @default.
- W2897522658 title "P4‐192: DIAGNOSTIC EFFICACY OF TRACKING ONE‐YEAR BRAIN VOLUMETRY IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT USING FDA‐CLEARED AUTOMATED QUANTIFICATION SOFTWARE" @default.
- W2897522658 doi "https://doi.org/10.1016/j.jalz.2018.06.2597" @default.
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