ArticleJournal of Alzheimer's disease reports
The diagnostic accuracy of CTseg segmentation software for dementia in a New Zealand memory service.
Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
8 authors.
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Abstract
This study examines the accuracy of CTseg segmentation software to diagnose Alzheimer's disease dementia and other dementias using routine CT scans from a New Zealand memory service. Analyzing 168 scans (89 with dementia and 79 without dementia) the software segmented the brain to produce total brain volume and hippocampal volume. CTseg-derived total brain volume (sensitivity 72%, specificity 58%) and hippocampal volume (sensitivity 71%, specificity 62%) were reasonably effective at differentiating dementia from non-dementia at time of diagnosis. Our findings suggest that CTseg automated volumetric analysis has some potential to aid dementia diagnosis in real-world clinical settings.
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