Background and Objectives Early-onset Alzheimer disease (EOAD) is associated with substantial variability in clinical progression, and reliable biomarkers to predict the transition from mild cognitive impairment (MCI) to dementia remain limited. Structural MRI measures have demonstrated prognostic value in late-onset Alzheimer disease, but their utility for predicting progression in EOAD is less well understood. The goal was to examine whether baseline cortical atrophy predicts progression to dementia in patients with MCI because of EOAD. Methods This study included a well-characterized cohort of patients with EOAD enrolled in the large multisite natural history Longitudinal Early-Onset Alzheimer's Disease Study. Participants underwent standardized clinical assessments and structural MRI at baseline. Participants were aged between 40 and 64 years with biomarker-supported sporadic EOAD at the MCI stage. Cortical atrophy was measured within the EOAD-signature, a set of predominantly parieto-temporal regions showing greater atrophy in EOAD than in controls. Clinical severity was measured with the global Clinical Dementia Rating. Cox proportional hazards models estimated the association between baseline EOAD-signature atrophy burden and the hazard of progression to dementia over time. We evaluated whether EOAD-signature atrophy improved prognostic performance beyond baseline clinical severity using likelihood ratio tests, Akaike Information Criterion (AIC), and Harrell concordance index. Results A total of 130 patients with MCI due to EOAD (mean age 59.6 ± 4.1 years; 49% female) and 97 cognitively normal controls (mean age 56.9 ± 6.0 years; 64% female) were included. Greater baseline atrophy within the EOAD-signature predicted faster progression to dementia (hazard ratio [HR] = 1.24 per 1-SD increase in atrophy; 95% CI 1.13–1.37; p < 0.002). Adding EOAD-signature atrophy burden to a model including baseline clinical severity significantly improved model fit (ΔAIC = −4.5; likelihood ratio test p = 0.011). Discussion Baseline cortical atrophy within the EOAD-signature predicts progression from MCI to dementia in EOAD and provides prognostic information beyond baseline clinical severity. These findings support the potential value of EOAD-signature atrophy as an MRI-based biomarker for individualized prognostication and clinical trial stratification.
T. Paranhos, Yuta Katsumi, M. Brickhouse et al.· Neurology· 0 citations
Tau PET imaging with [18F]flortaucipir allows for the visualization and mapping of aggregated tau deposits, a key neuropathologic feature of Alzheimer disease (AD). A visual interpretation method for [18F]flortaucipir was approved by the Food and Drug Administration and European Medicines Agency and has been implemented for a standardized, clinically usable definition of tau PET positivity. The CenTauRz method, on the other hand, offers the possibility to harmonize the definition of tau PET positivity across different radiotracers using quantitative metrics, but its concordance with clinically relevant [18F]flortaucipir visual reads remains unclear. Methods: A convenience sample of 3991 participants, including cognitively unimpaired (CU) and cognitively impaired (CI) individuals (i.e., those with mild cognitive impairment or AD dementia), underwent [18F]flortaucipir PET imaging. Each [18F]flortaucipir scan was assessed by 3 trained readers using the approved visual interpretation method and quantified using the CenTauRz quantification pipeline in different regions of interest (ROIs). Concordance between positive visual reads and CenTauRz-defined positivity (i.e., >2 on the CenTauRz scale) was assessed using Cohen κ. Receiver-operating-characteristic (ROC) analysis evaluated the discriminative power of continuous CenTauRz values in distinguishing between negative and positive visual reads. Generalized additive models examined clinical progression on the basis of visual and CenTauRz-based assessments of tau PET positivity. Results: Concordance between visual reads and CenTauRz-based assessments of tau PET positivity was moderate, particularly in CU individuals (κ = 0.23-0.55 for CU participants, κ = 0.57-0.82 for CI participants, depending on the ROI). ROC analysis revealed that the agreement remained moderate, independent of the CenTauRz cut point used (area under the ROC curve, 0.72-0.87 vs. 0.87-0.97 for CU and CI individuals, respectively). Among discordant cases, participants with visually positive/CenTauRz-negative tau PET scans were more frequently amyloid-positive and exhibited faster clinical progression compared with visually negative/CenTauRz-positive individuals. Conclusion: Our findings highlight the relatively limited agreement between the visual assessment of [18F]flortaucipir PET images and CenTauRz-based quantification, particularly in CU individuals. Participants with visually positive/CenTauRz-negative tau PET scans showed a high frequency of amyloid positivity and faster clinical progression, suggesting that visual reads are more sensitive to heterogeneous, clinically relevant tau accumulation patterns not captured by ROI-based methods. These findings underscore the need for new quantification approaches to better capture the complex patterns of tau deposition, important for early AD detection and monitoring.
Stamatia Karagianni, Alexis Moscoso, Sheelakumari Raghavan et al.· Journal of Nuclear Medicine· 0 citations
Findings lend support for PVS-BG as an early indicator of small vessel dysfunction and WMH pathogenesis and suggest that PVS-BG may identify individuals at increased risk of progressive SVD.
Audrey Low, J. Gunter, Ming-Zhao Hu et al.· Annals of Neurology· 0 citations
Diffusion MRI biomarkers were abnormal at least a decade before WMH abnormality in the population, revealing a prolonged phase of early SVD and highlighting their potential for SVD prevention.
P. Vemuri, Ming-Zhao Hu, Emily S. Lundt et al.· Stroke· 0 citations
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