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Brain atrophy pattern in patients with mild cognitive impairment: MRI study
Rosalinda Calandrelli1, Marco Panfili1, Valeria Onofrj2
1Dipartimento di Diagnostica per Immagini, Radioterapia, Oncologia ed Ematologia, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli, 1, 00168 Rome, Italy.
Abstract:
We evaluated the accuracy of the quantitative and semiquantitative analysis in detecting regional atrophy patterns and differentiating mild cognitive impairment patients who remain stable (aMCI-S) from patients who develop Alzheimer's disease (aMCI-AD) at clinical follow-up. Baseline magnetic resonance imaging was used for quantitative and semiquantitative analysis using visual rating scales. Visual rating scores were related to gray matter thicknesses or volume measures of some structures belonging to the same brain regions. Receiver operating characteristic (ROC) analysis was performed to assess measures' accuracy in differentiating aMCI-S from aMCI-AD. Comparing aMCI-S and aMCI-AD patients, significant differences were found for specific rating scales, for cortical thickness belonging to the middle temporal lobe (MTL), anterior temporal (AT), and fronto-insular (FI) regions, for gray matter volumes belonging to MTL and AT regions. ROC curve analysis showed that middle temporal atrophy, AT, and FI visual scales showed better diagnostic accuracy than quantitative measures also when thickness measures were combined with hippocampal volumes. Semiquantitative evaluation, performed by trained observers, is a fast and reliable tool in differentiating, at the early stage of disease, aMCI patients that remain stable from those patients that may progress to AD since visual rating scales may be informative both about early hippocampal volume loss and cortical thickness reduction.
Insights
Semiquantitative MRI analysis accurately detects brain atrophy patterns. This method reliably differentiates stable mild cognitive impairment (MCI) patients from those progressing to Alzheimer's disease (AD) early on.
Area of Science:
- Neuroimaging
- Neurology
- Alzheimer's Disease Research
Background:
- Differentiating stable mild cognitive impairment (MCI) from progressive MCI (MCI-AD) is crucial for early intervention.
- Accurate detection of regional atrophy patterns is key to predicting disease progression.
Purpose of the Study:
- To evaluate the accuracy of quantitative and semiquantitative MRI analysis in identifying atrophy patterns.
- To differentiate stable MCI (aMCI-S) from MCI progressing to Alzheimer's disease (aMCI-AD) using baseline MRI.
Main Methods:
- Baseline MRI scans analyzed using quantitative and semiquantitative visual rating scales.
- Correlation of visual rating scores with gray matter thickness and volume.
- Receiver operating characteristic (ROC) analysis to assess diagnostic accuracy.
Main Results:
- Significant differences in atrophy detected by specific visual rating scales between aMCI-S and aMCI-AD groups.
- Cortical thickness reductions in middle temporal lobe (MTL), anterior temporal (AT), and fronto-insular (FI) regions were significant.
- Semiquantitative visual scales demonstrated higher diagnostic accuracy than quantitative measures for differentiating patient groups.
Conclusions:
- Semiquantitative MRI analysis is a fast and reliable tool for early differentiation of MCI patients.
- Visual rating scales effectively identify early hippocampal volume loss and cortical thickness reduction.
- This approach aids in predicting which MCI patients are likely to progress to Alzheimer's disease.
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