Table 1 Area (AUC) under the ROC curve, cut-off (based on Youden’s criterion), and resulting total accuracy, sensitivity, and specificity for identification of neurodegenerative etiology of parkinsonism (mono-site/mono-camera setting) or PD (multi-site/multi-camera setting). (Cau = caudate, Put = putamen, Str = striatum, ant = anterior, post = posterior)

Mono-camera

AUC (95% CI)

0.636^bbb,ccc (0.526–0.746)

0.976^c (0.954–0.999)

0.935^b (0.891–0.980)

0.981^c (0.960–1.000)

0.925 (0.877–0.973)

0.764^aaa (0.673–0.855)

0.969 (0.943–0.996)

0.927 (0.881–0.974)

0.765^aaa (0.675–0.855)

0.961^a (0.930–0.993)

0.924 (0.874–0.974)

Cut-off

1.829

2.383

1.866

1.776

2.051

16.418

16.974

34.902

12.913

8.371

23.653

Accuracy

0.672

0.943

0.885

0.943

0.877

0.705

0.934

0.877

0.770

0.902

0.877

Sensitivity

0.762

0.940

0.857

0.917

0.881

0.643

0.929

0.869

0.821

0.881

0.881

Specificity

0.474

0.947

0.947

1.000

0.868

0.842

0.947

0.895

0.658

0.947

0.868

Multi-camera

AUC (95% CI)

0.884^bbb (0.856–0.911)

0.991 (0.987–0.996)

0.966^bbb (0.954–0.978)

0.998^b (0.996–1.000)

0.979 (0.971–0.988)

0.920^aaa (0.898–0.942)

0.993 (0.989–0.998)

0.978 (0.969–0.987)

–

–

–

Cut-off

1.781

2.068

1.776

1.597

1.960

21.229

14.799

39.171

–

–

–

Accuracy

0.780

0.953

0.898

0.980

0.930

0.839

0.964

0.933

–

–

–

Sensitivity

0.719

0.943

0.872

0.973

0.916

0.822

0.961

0.945

–

–

–

Specificity

0.908

0.976

0.952

0.995

0.961

0.874

0.971

0.908

–

–

–