Table 2 Performance of an optimal semi-quantitative rSUVR threshold of 1.35 for categorization into amyloid positive/negative visual read status
From: Estimation of brain amyloid accumulation using deep learning in clinical [11C]PiB PET imaging
PET/CT | PET/MRI | |
|---|---|---|
Hold-out test n = 300 | Hold-out test n = 100 | |
Cohen’s kappa | 0.94 | 0.96 |
Accuracy | 97% | 98% |
Sensitivity | 97% | 98% |
Specificity | 98% | 98% |
F1-score | 98% | 98% |