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. 2021 Mar 5;48(10):3141–3150. doi: 10.1007/s00259-021-05270-x

Table 3.

Identification and classification of suspicious FDG-avid foci by fully automated neural network when compared with the consensus reader reference standard

Per lesion Per patient
Accuracy 95.6 (93.9–97.2) % 97.3 (95.7–98.5) %
Sensitivity 92.1 (89.3–94.8) % 92.3 (79.3–96.6) %
Specificity 97.7 (95.0–98.9) % 97.6 (94.2–99.1) %
Positive predictive value 96.1 (91.4–98.2) % 96.5 (92.1–98.6) %
Negative predictive value 95.3 (90.8–97.4) % 93.2 (86.2–97.1) %

Only PERCIST measurable lesions were regarded for this table