ArticleJournal of magnetic resonance imaging : JMRI2019
T2 Relaxometry and Diffusion Tensor Indices of the Hippocampus and Entorhinal Cortex Improve Sensitivity and Specificity of MRI to Detect Amnestic Mild Cognitive Impairment and Alzheimer's Disease Dementia.
Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 40 citations in OpenAlex.
- 3D quantitative synthetic MRI for assessing Alzheimer's clinical syndrome, subjective cognitive impairment, and mild cognitive impairment.Neuroradiology · 2026Article
- Quantitative MRI of the hippocampus reveals microstructural trajectories of aging and Alzheimer's disease pathology.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Imaging markers of neuroinflammation in aging and Alzheimer's disease and related dementia: A comprehensive review.Neuroscience and biobehavioral reviews · 2025Review
- Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP.Scientific reports · 2025Article
- T1 and FLAIR signal intensities are related to tau pathology in dominantly inherited Alzheimer disease.Human brain mapping · 2023Observational
- Neuroimaging of tissue microstructure as a marker of neurodegeneration in the AT(N) framework: defining abnormal neurodegeneration and improving prediction of clinical status.Alzheimer's research & therapy · 2023Article
- Multiparametric MRI: From Simultaneous Rapid Acquisition Methods and Analysis Techniques Using Scoring, Machine Learning, Radiomics, and Deep Learning to the Generation of Novel Metrics.Investigative radiology · 2023Review
- Simultaneous relaxometry and morphometry of human brain structures with 3D magnetic resonance fingerprinting: a multicenter, multiplatform, multifield-strength study.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Simultaneous high-resolution TMagnetic resonance in medicine · 2022Article
- Apolipoprotein ε4 modifies obesity-related atrophy in the hippocampal formation of cognitively healthy adults.Neurobiology of aging · 2022Article
- Longitudinal assessment of early-life white matter development with quantitative relaxometry in nonhuman primates.NeuroImage · 2022Article
- A Magnetic Resonance-Relaxometry-Based Technique to Identify Blood Products in Brain Parenchyma: An Experimental Study on a Rabbit Model.Frontiers in veterinary science · 2022Article
- T2 heterogeneity as an in vivo marker of microstructural integrity in medial temporal lobe subfields in ageing and mild cognitive impairment.NeuroImage · 2021Article
- Repeatability and reproducibility of human brain morphometry using three-dimensional magnetic resonance fingerprinting.Human brain mapping · 2021Article
- Diagnosis of Alzheimer's Disease in Developed and Developing Countries: Systematic Review and Meta-Analysis of Diagnostic Test Accuracy.Journal of Alzheimer's disease reports · 2021Article
- Quantitative Analysis of Synthetic Magnetic Resonance Imaging in Alzheimer's Disease.Frontiers in aging neuroscience · 2021Article
- Multiparametric Quantitative MRI in Neurological Diseases.Frontiers in neurology · 2021Review
- Diffusion Tensor Imaging Study of Olfactory Identification Deficit in Patients With Mild Cognitive Impairment.Frontiers in aging neuroscience · 2021Article
- APOE-ε4-related differences in left thalamic microstructure in cognitively healthy adults.Scientific reports · 2020Article
- Fast TMagnetic resonance in medicine · 2020Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundQuantitative T2 and diffusion MRI indices inform about tissue state and microstructure, both of which may be affected by pathology before tissue atrophy. PURPOSE: To evaluate the capability of both volumetric and quantitative MRI (qMRI) of the hippocampus and entorhinal cortex (EC) for classification of amnestic mild cognitive impairment (aMCI) and Alzheimer's disease dementia (ADD). STUDY TYPE: Retrospective cross-sectional study. POPULATION: Consecutive cohorts of healthy age-matched controls (n = 62), aMCI patients (n = 25), and ADD patients (n = 14). FIELD STRENGTH/SEQUENCE: 3T using T1-weighted imaging, T2-weighted imaging, T2 relaxometry and diffusion tensor imaging (DTI). ASSESSMENT: Montreal Cognitive Assessment and paired associate learning tests for cognitive state. Hippocampal subfield volumes by the automated segmentation of hippocampal subfields system from structural brain images. T2 relaxation time and DTI indices quantified for hippocampal subfields. The fraction of voxels with high T2 values (>20 ms above subfield median) was calculated and regionalized for hippocampus and EC. STATISTICAL TESTS: Support vector machine and receiver operating characteristic analyses from cognitive and MRI data.
resultsqMRI classified aMCI and ADD with excellent sensitivity (79.0% and 94.5%, respectively) and specificity (85.6% and 86.1%, respectively), superior to volumes alone (70.0% and 84.5% for respective sensitivities; 82.2 and 91.1 for respective specificities) and similar to cognitive tests (61.7% and 87.5% for respective sensitivities; 88.2% and 90.7% for respective specificities). Regions of high T2 are dispersed throughout each hippocampal subfield in aMCI and ADD with higher concentration than controls, and was most pronounced in the EC. No other individual qMRI marker than EC volume can separate aMCI from ADD, however. DATA
conclusionqMRI markers of hippocampal and entorhinal tissue states are sensitive and specific classifiers of aMCI and ADD. They may serve as markers of a neurodegenerative state preceding volume loss. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:445-455.
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