The diagnostic accuracy of CTseg segmentation software for dementia in a New Zealand memory service.

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.