Affiliation:
1. Department of Neurology and Radiology, Miyagi Kosei Association, Izumi Hospital
2. Department of Software Development. Division of Quality, Safety Management & Regulatory Affairs. PDRadiopharma. Inc.
3. Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University
4. Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University
Abstract
Abstract
Objectives Accurately evaluated regional cerebral blood flow (rCBF) by single photon emission computed tomography (SPECT) is increasingly important for the diagnosis of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). We propose a novel diagnostic approach to minimize artifacts and Z-score over- or underestimation caused by cerebral atrophy, better reflecting rCBF, thus improving diagnoses accuracy.
Methods [99mTc]-ECD and SPECT studies were performed on 15 cognitively normal patients, 40 patients with MCI, and 16 patients with probable AD. Patient SPECT images were compared with those of age-matched controls using SPM2. The Z-scores obtained were displayed on a standardized MRI based on the orbito-meatal line. The atrophy correction method was incorporated to reduce artifacts through the MRI masking procedure applied to the target patient. Regional Z-score, percent extent, and atrophy correction rate obtained using the masking procedure, Mask (+), were compared with those obtained without the mask, Mask (-). The atrophy correction rate was defined as follows:
atrophy correction rate = [ZscoreMask (-) - ZscoreMask (+)]/ZscoreMask (-)*100.
To assess the approach, the receiver operating characteristic curve analysis was conducted for five dementia-related regions.
Results This approach significantly reduced artifacts, regional Z-score, and percent extent in most regions, leading to improved estimates. The mean atrophy correction rate ranged from 10.4 to 12.0%. In MCI and AD, the convexities of the frontal and parietal lobes and the posterior medial cerebrum were particularly sensitive to cerebral atrophy, and the Z-score Mask (-) were overestimated, whereas the posterior cingulate cortex and the cerebellum were less sensitive to artifacts. The diagnostic accuracy for MCI increased from 67% for Mask (-) to 69% for Mask (+), and for AD from 78% for Mask (-) to 82% for Mask (+). The mean Z-scores in the inferior parietal lobule were higher in AD than in MCI.
Conclusion This approach demonstrated improved Z-score assessments with reduced artifacts and improved diagnostic accuracy. A semi-automatic implementation of this is recommended for routine clinical studies.
Publisher
Research Square Platform LLC