The Entorhinal Cortex Atrophy Score Is Diagnostic and Prognostic in Mild Cognitive Impairment

Area of Science:

• Neurology
• Radiology
• Neuroimaging

Background:

• Structural magnetic resonance imaging (MRI) is crucial for diagnosing mild cognitive impairment (MCI).
• Current methods for detecting early cerebral atrophy in MCI have limited diagnostic accuracy.
• There is a need for improved tools to assess structural changes in MCI.

Purpose of the Study:

• To validate the entorhinal cortex atrophy (ERICA) rating scale.
• To assess ERICA's utility in diagnosing MCI, predicting dementia risk, and correlating with biomarker status and neuropsychological profiles.
• To compare ERICA's performance against established methods like volumetry and the medial temporal lobe atrophy (MTA) score.

Main Methods:

• Retrospective assessment of the ERICA score in patients with MCI (n=80), subjective cognitive decline, and Alzheimer's disease (AD) dementia (n=60).
• Evaluation of ERICA's ability to discriminate between MCI and AD dementia.
• Analysis of ERICA's predictive value for dementia conversion, biomarker status (amyloid/tau), and association with neuropsychological test performance over a median 28-month follow-up.

Main Results:

• The ERICA score demonstrated a 97% positive predictive value (PPV) for MCI.
• Discrimination between MCI and AD dementia (AUC: 0.71) was comparable to volumetry and superior to the MTA score.
• ERICA showed an 83% PPV for dementia conversion, comparable to tau status, and was associated with verbal learning, memory, and AD-specific recall deficits.

Conclusions:

• The ERICA score is a simple, valuable tool for diagnosing and prognosing MCI using structural MRI.
• ERICA is non-inferior to volumetry for assessing cerebral atrophy in MCI.
• The ERICA scale offers a practical alternative for evaluating MCI patients.