Voxel-wise deviations from healthy aging for the detection of region-specific atrophy
| Autor: | Maximilian Bröse, Sabine Hellwig, Jacob Lahr, Bernhard Heimbach, Elias Kellner, Shan Yang, Jennifer Linn, Horst Urbach, Jessica Peter, Karl Egger, Philipp T. Meyer, Stefan Klöppel, Stefan Weidauer, Tamara Andres, Marco Reisert, Ahmed Abdulkadir, Niklas Lützen |
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| Přispěvatelé: | Alzheimer's Disease Neuroimaging Initiative |
| Rok vydání: | 2018 |
| Předmět: |
Male
Aging computer.software_genre lcsh:RC346-429 030218 nuclear medicine & medical imaging Healthy Aging 0302 clinical medicine Voxel Gray Matter 610 Medicine & health Cerebrospinal Fluid Observer Variation medicine.diagnostic_test Brain Regular Article Magnetic Resonance Imaging Neurology Frontotemporal Dementia lcsh:R858-859.7 Female Frontotemporal dementia Alzheimer's Disease Neuroimaging Initiative Lewy Body Disease Cognitive Neuroscience lcsh:Computer applications to medicine. Medical informatics Sensitivity and Specificity 03 medical and health sciences Atrophy Alzheimer Disease Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging ddc:610 lcsh:Neurology. Diseases of the nervous system Aged Receiver operating characteristic business.industry Magnetic resonance imaging Gold standard (test) medicine.disease Dementia Neurology (clinical) business Nuclear medicine computer 030217 neurology & neurosurgery Kappa |
| Zdroj: | NeuroImage : Clinical NeuroImage: Clinical, Vol 20, Iss, Pp 851-860 (2018) Klöppel, Stefan; Kellner, Elias; Reisert, Marco; Heimbach, Bernhard; Urbach, Horst; Linn, Jennifer; Weidauer, Stefan; Andres, Tamara; Bröse, Maximilian; Lahr, Jacob; Lützen, Niklas; Meyer, Philipp T.; Peter, Jessica; Abdulkadir, Ahmed; Hellwig, Sabine; Egger, Karl (2018). Voxel-wise deviations from healthy aging for the detection of region-specific atrophy. NeuroImage: Clinical, 20, pp. 851-860. Elsevier 10.1016/j.nicl.2018.09.013 |
| ISSN: | 2213-1582 |
| DOI: | 10.1016/j.nicl.2018.09.013 |
| Popis: | The identification of pathological atrophy in MRI scans requires specialized training, which is scarce outside dedicated centers. We sought to investigate the clinical usefulness of computer-generated representations of local grey matter (GM) loss or increased volume of cerebral fluids (CSF) as normalized deviations (z-scores) from healthy aging to either aid human visual readings or directly detect pathological atrophy. Two experienced neuroradiologists rated atrophy in 30 patients with Alzheimer's disease (AD), 30 patients with frontotemporal dementia (FTD), 30 with dementia due to Lewy-body disease (LBD) and 30 healthy controls (HC) on a three-point scale in 10 anatomical regions as reference gold standard. Seven raters, varying in their experience with MRI diagnostics rated all cases on the same scale once with and once without computer-generated volume deviation maps that were overlaid on anatomical slices. In addition, we investigated the predictive value of the computer generated deviation maps on their own for the detection of atrophy as identified by the gold standard raters. Inter and intra-rater agreements of the two gold standard raters were substantial (Cohen's kappa κ > 0.62). The intra-rater agreement of the other raters ranged from fair (κ = 0.37) to substantial (κ = 0.72) and improved on average by 0.13 (0.57 Highlights • The visual identification of atrophy is most accurate in the temporal lobe. • Voxel-wise deviations of tissue volume from normal aging is easy to implement. • Displaying voxel-wise deviations subjectively but not objectively aids readers. • Voxel-wise deviations themselves show high agreement with expert readings. • Information on tissue deviations should be provided with cerebral MRI scans. |
| Databáze: | OpenAIRE |
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