Abstract
Semi-quantitative values are useful for interpreting molecular images in neurodegenerative diseases. For handling semi-quantitative images, the use of statistical parametric mapping (SPM) or three-dimensional stereotactic surface projections (3D-SSP) is widespread. These methods are used by converting individual brains into stereotactic brain coordinates through anatomical standardization, and then voxel-based statistical analysis of molecular images is performed in clinical practice as an aid to diagnostic interpretation. SPM performs realignment, co-registration, anatomical normalization, and smoothing, followed by statistical analysis. 3D-SSP creates a brain surface image after anatomical standardization using the mutual information, then brain surface images of each individual are statistically analyzed with the database to create a z-score map. This z-score map is used to aid in interpreting individual images for diagnosis.
For molecular images including FDG-PET images, amyloid PET images, and tau PET images, the standardized uptake value ratio (SUVR) images may be used as an interpretation aid. The SUVR is calculated as the ratio of cortical-to-cerebellar counts. There is a good correlation between SUVR and visual interpretations concerning amyloid PET images. Because the SUVRs of amyloid PET images differ for each tracer, and there have been attempts to standardize them, the Centiloid Project (CL) is proposed and the SUVR of each amyloid PET tracer is converted to CL.
The semi-quantitative images and voxel-based statistical analysis methods are very useful tools in molecular imaging research and clinical interpretation of molecular images of neurodegenerative disease.
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Ishii, K. (2023). Semi-Quantitative Analysis: Software-Based Imaging Interpretation: NEUROSTAT/SPM. In: Cross, D.J., Mosci, K., Minoshima, S. (eds) Molecular Imaging of Neurodegenerative Disorders. Springer, Cham. https://doi.org/10.1007/978-3-031-35098-6_13
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