Automatic normative quantification of brain tissue volume to support the diagnosis of dementia: A clinical evaluation of diagnostic accuracy
| Autor: | Rebecca M. E. Steketee, Bas Jasperse, M. Arfan Ikram, Janne M. Papma, Marcel Koek, Wiro J. Niessen, Henri A. Vrooman, Marion Smits, Aad van der Lugt, Meike W. Vernooij |
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| Přispěvatelé: | Radiology and nuclear medicine, Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Neurology |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Cognitive Neuroscience Diagnostic accuracy Brain tissue lcsh:Computer applications to medicine. Medical informatics lcsh:RC346-429 030218 nuclear medicine & medical imaging Diagnosis Differential 03 medical and health sciences 0302 clinical medicine medicine Dementia Humans Radiology Nuclear Medicine and imaging Visual rating lcsh:Neurology. Diseases of the nervous system Aged Retrospective Studies business.industry Memory clinic Brain Regular Article Organ Size Middle Aged medicine.disease Magnetic Resonance Imaging Neurology lcsh:R858-859.7 Normative Female Neurology (clinical) Radiology business Clinical evaluation 030217 neurology & neurosurgery Frontotemporal dementia |
| Zdroj: | NeuroImage: Clinical, 20, 374-379. Elsevier BV NeuroImage : Clinical NeuroImage: Clinical, 20 NeuroImage: Clinical, Vol 20, Iss, Pp 374-379 (2018) NeuroImage: Clinical NeuroImage: Clinical, 20, 374-379. Elsevier |
| ISSN: | 2213-1582 |
| Popis: | Objectives To assesses whether automated brain image analysis with quantification of structural brain changes improves diagnostic accuracy in a memory clinic setting. Methods In 42 memory clinic patients, we evaluated whether automated quantification of brain tissue volumes, hippocampal volume and white matter lesion volume improves diagnostic accuracy for Alzheimer's disease (AD) and frontotemporal dementia (FTD), compared to visual interpretation. Reference data were derived from a dementia-free aging population (n = 4915, aged >45 years), and were expressed as age- and sex-specific percentiles. Experienced radiologists determined the most likely imaging-based diagnosis based on structural brain MRI using three strategies (visual assessment of MRI only, quantitative normative information only, or a combination of both). Diagnostic accuracy of each strategy was calculated with the clinical diagnosis as the reference standard. Results Providing radiologists with only quantitative data decreased diagnostic accuracy both for AD and FTD compared to conventional visual rating. The combination of quantitative with visual information, however, led to better diagnostic accuracy compared to only visual ratings for AD. This was not the case for FTD. Conclusion Quantitative assessment of structural brain MRI combined with a reference standard in addition to standard visual assessment may improve diagnostic accuracy in a memory clinic setting. Highlights • Brain imaging from an individual patient can be compared to population-derived reference data to determine deviation from the population average. • Age adjusted reference values of brain volume improve accuracy of dementia diagnosis in a memory clinic, especially for AD. • These reference values should be interpreted in conjunction with visual assessment of brain MRI's to achieve this benefit. |
| Databáze: | OpenAIRE |
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