Identifying High‐Risk Patients Through Longitudinal Hippocampal Atrophy Patterns in MCI and AD

This pilot analysis supports the use of rapid segmentation techniques for early risk detection in MCI and AD. The marked difference in atrophy rates between groups underscores the need for large-scale validation using deep learning and statistical analysis. An automated tool for hippocampal volume tracking could be instrumental in both research and future clinical practice.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70861_108226
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying High‐Risk Patients Through Longitudinal Hippocampal Atrophy Patterns in MCI and AD

Abraham Varghese, Kannan Balakrishnan, Kesavadas Chandrasekharan
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Identifying High‐Risk Patients Through Longitudinal Hippocampal Atrophy Patterns in MCI and AD

Abraham Varghese, Kannan Balakrishnan, Kesavadas Chandrasekharan
article en

Abstract

This pilot analysis supports the use of rapid segmentation techniques for early risk detection in MCI and AD. The marked difference in atrophy rates between groups underscores the need for large-scale validation using deep learning and statistical analysis. An automated tool for hippocampal volume tracking could be instrumental in both research and future clinical practice.

Alzheimer s & DementiaVol. 21(S7)
Cochin University of Science and Technology (IN), Sree Chitra Thirunal Institute for Medical Sciences and Technology (IN), Muscat College (OM)
Openalex Percentile: Top 36%
Dementia and Cognitive Impairment Research
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