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Updated: Jun 19, 2026

A Comprehensive Protocol for Manual Segmentation of the Medial Temporal Lobe Structures
Published on: July 2, 2014
A visual scale to rate amygdalar atrophy on MRI
Francesca B Pizzini1, Federica Ribaldi2,3, Valerio Natale4
1Radiology and Department of Engineering for Innovation Medicine, Verona University, Verona, Italy. francescabenedetta.pizzini@univr.it.
A new visual rating scale for amygdalar atrophy was developed and validated. This tool reliably assesses amygdalar atrophy on MRI, aiding in diagnosing neurodegenerative diseases like Limbic Predominant Age-Related TDP-43 Encephalopathy (LATE).
Area of Science:
- Neurology
- Radiology
- Neuroimaging
Background:
- Visual rating scales are standard for assessing brain atrophy in neurodegenerative diseases.
- Limbic Predominant Age-Related TDP-43 Encephalopathy (LATE) is characterized by early and severe amygdalar atrophy.
- No specific visual rating scale currently exists for amygdalar atrophy.
Purpose of the Study:
- To develop and validate a visual rating scale for assessing amygdalar atrophy on MRI.
- To establish reliability and validity of the new scale.
Main Methods:
- Developed stringent criteria for grading amygdalar atrophy (none, mild/moderate, severe) using T1-weighted MRI.
- Assessed inter- and intra-rater reliability with 100 scans by three neuroradiologists.
- Evaluated convergent validity against FreeSurfer volumetry (1943 patients) and criterion validity against autopsy-confirmed LATE (96 patients).
Main Results:
- High intra- and inter-rater agreement (weighted Cohen's Kappa 0.71-0.93) for visual amygdalar atrophy ratings.
- Strong association between visual ratings and amygdalar volumes (p≤0.001).
- Association observed between LATE neuropathologic changes and visual amygdalar atrophy ratings (p=0.057).
Conclusions:
- The proposed visual amygdalar atrophy scale is reliable and valid.
- This scale serves as a practical tool for routine radiological reporting.
- It enhances diagnostic accuracy for dementia, particularly for identifying LATE.
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