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Updated: Jul 31, 2026

Detecting Amyloid-β Accumulation via Immunofluorescent Staining in a Mouse Model of Alzheimer's Disease
Published on: April 19, 2021
Comparison and cutoff values of two amyloid PET scaling methods: centiloid scale and amyloid-β load
Ryo Yamakuni1, Mitsunari Abe2, Naoyuki Ukon3
1Department of Radiology and Nuclear Medicine, School of Medicine, Fukushima Medical University, Fukushima, Japan. yamakuni@fmu.ac.jp.
Objective:
To enhance amyloid-β (Aβ) positron emission tomography (PET) diagnostic accuracy and adjust for tracer differences, the amyloid-β load (AβL) and centiloid (CL) scale were developed. However, the correlation and superiority of these indicators remain unclear. This study aimed to elucidate the correlation and determine cutoff values.
Methods:
Data from 281 consecutive participants (144 males; mean age, 69.6 years) in the Parkinson's and Alzheimer's Disease Dimensional Neuroimaging Initiative study were analyzed. Initial data, including Aβ PET, structural MRI, and Global Clinical Dementia Rating (G-CDR) scores, were reviewed. CL was calculated using the cerebral cortical and striatum Volume of Interest templates (VOI) and whole cerebellum VOI. AβL was calculated using voxel-wise regression with two canonical images representing non-displaceable and specific binding. Visual estimation was performed by five radiologists, with two independently classify as visual-only Aβ-negative or Aβ-positive. The discrepancies were resolved through majority consensus involving a third observer. Additional visual estimation was performed for cases with CL value under 10 but visual-only Aβ-positive, and those over 30 but Aβ-negative, by two nuclear medicine radiologists. The discrepancies were resolved through discussion and classify as final Aβ diagnosis negative or positive.
Results:
CL and AβL correlated linearly (CL = AβL × 2.10-9.40, R2 = 0.923). In predicting final Aβ diagnosis negative versus positive, both CL (AUC = 0.996) and AβL (AUC = 0.997) were significant, with no significant differences (P = 0.882). The Youden Index was 23.3 for CL and 15.6 for AβL. In predicting cognitively normal participants (G-CDR = 0) from others, both CL (AUC = 0.687) and AβL (AUC = 0.667) were significant, with no significant differences (P = 0.379). The Youden Index was 11.9 for CL and 11.6 for AβL. Using a non-biased Gaussian mixture model, the normal group's mean and SD were -2.5 (SD = 6.5) for CL and 3.7 (SD = 3.0) for AβL, resulting in 95% limits (mean + 2SD) of 10.4 for CL and 9.7 for AβL.
Conclusions:
This study demonstrated a high correlation and non-inferiority between CL and AβL.
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