The use of an anterior-posterior atrophy index to distinguish Alzheimer's disease from frontotemporal disorders: an automated volumetric MRI Study. Acta Radiol 2024 Jul;65(7):808-816
Date
05/28/2024Pubmed ID
38803154DOI
10.1177/02841851241254746Scopus ID
2-s2.0-85194860613 (requires institutional sign-in at Scopus site)Abstract
BACKGROUND: Alzheimer's disease (AD) and frontotemporal dementia (FTD) require different treatments. Since clinical presentation can be nuanced, imaging biomarkers aid in diagnosis. Automated software such as Neuroreader (NR) provides volumetric imaging data, and indices between anterior and posterior brain areas have proven useful in distinguishing dementia subtypes in research cohorts. Existing indices are complex and require further validation in clinical settings.
PURPOSE: To provide initial validation for a simplified anterior-posterior index (API) from NR in distinguishing FTD and AD in a clinical cohort.
MATERIAL AND METHODS: A retrospective chart review was completed. We derived a simplified API: API = (logVA/VP-μ)/σ where
RESULTS: A total of 39 participants with FTD and 78 participants with AD were included. The API had an excellent performance in distinguishing AD from FTD with an area under the ROC curve of 0.82 and a positive association with diagnostic classification on logistic regression analysis (B = 1.491, P < 0.001).
CONCLUSION: The API successfully distinguished AD and FTD with excellent performance. The results provide preliminary validation of the API in a clinical setting.
Author List
Gerlach LR, Prabhakaran V, Antuono PG, Granadillo EAuthor
Piero G. Antuono MD Professor in the Neurology department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AgedAlzheimer Disease
Atrophy
Brain
Diagnosis, Differential
Female
Frontotemporal Dementia
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Retrospective Studies