Diagnostic Performance of Automated MRI Volumetry by icobrain dm for Alzheimer's Disease in a Clinical Setting: A REMEMBER Study.
J Alzheimers Dis
; 83(2): 623-639, 2021.
Article
en En
| MEDLINE
| ID: mdl-34334402
ABSTRACT
BACKGROUND:
Magnetic resonance imaging (MRI) has become important in the diagnostic work-up of neurodegenerative diseases. icobrain dm, a CE-labeled and FDA-cleared automated brain volumetry software, has shown potential in differentiating cognitively healthy controls (HC) from Alzheimer's disease (AD) dementia (ADD) patients in selected research cohorts.OBJECTIVE:
This study examines the diagnostic value of icobrain dm for AD in routine clinical practice, including a comparison to the widely used FreeSurfer software, and investigates if combined brain volumes contribute to establish an AD diagnosis.METHODS:
The study population included HC (nâ=â90), subjective cognitive decline (SCD, nâ=â93), mild cognitive impairment (MCI, nâ=â357), and ADD (nâ=â280) patients. Through automated volumetric analyses of global, cortical, and subcortical brain structures on clinical brain MRI T1w (nâ=â820) images from a retrospective, multi-center study (REMEMBER), icobrain dm's (v.4.4.0) ability to differentiate disease stages via ROC analysis was compared to FreeSurfer (v.6.0). Stepwise backward regression models were constructed to investigate if combined brain volumes can differentiate between AD stages.RESULTS:
icobrain dm outperformed FreeSurfer in processing time (15-30âmin versus 9-32âh), robustness (0 versus 67 failures), and diagnostic performance for whole brain, hippocampal volumes, and lateral ventricles between HC and ADD patients. Stepwise backward regression showed improved diagnostic accuracy for pairwise group differentiations, with highest performance obtained for distinguishing HC from ADD (AUCâ=â0.914; Specificity 83.0%; Sensitivity 86.3%).CONCLUSION:
Automated volumetry has a diagnostic value for ADD diagnosis in routine clinical practice. Our findings indicate that combined brain volumes improve diagnostic accuracy, using real-world imaging data from a clinical setting.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
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Programas Informáticos
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Imagen por Resonancia Magnética
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Enfermedad de Alzheimer
Tipo de estudio:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
Límite:
Aged
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Female
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Humans
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Male
Idioma:
En
Año:
2021
Tipo del documento:
Article