Skip to main content
. Author manuscript; available in PMC: 2021 Jul 19.
Published in final edited form as: Radiology. 2020 Mar 17;295(2):407–415. doi: 10.1148/radiol.2020191479

Table 2:

Sensitivities and PPVs of Different Deep Learning SSDs at a 50% Confidence Threshold for Different Metastasis Sizes

All Metastases Metastases <3 mm Metastases ≥3 mm to < 6 mm Metastases ≥6 mm
Technique Sensitivity (%) PPV (%) Sensitivity (%) PPV (%) Sensitivity (%) PPV (%) Sensitivity (%) PPV (%)
Baseline SSD 81 (80, 82) [190/234] 36 (35, 37) [190/530] 15 (12, 18) [3/20] 100 (100, 100) [3/3] 70 (68, 72) [57/82] 35 (32, 38) [57/161] 98 (97, 99) [130/132] 36 (35, 37) [130/366]
SSD plus ResNet50 73 (72, 74) [171/234] 29 (28, 30) [171/581] 10 (7,13) [2/20] 100 (100, 100) [2/2] 55 (53, 57) [45/82] 34 (31, 37) [45/134] 94 (93, 95) [124/132] 28 (26, 30) [124/445]
SSD plus focal loss 77 (76, 78) [180/234] 26 (26, 26) [180/681] 20 (14, 26) [4/20] 80 (64, 96) [4/5] 62 (60, 64) [51/82] 21 (19, 23) [51/248] 95 (94, 96) [125/132] 29 (28, 30) [125/428]
RetinaNet 79 (77, 81) [184/234] 13 (12, 14) [184/1412] 40 (33, 47) [8/20] 2 (1, 3) [8/410] 66 (61, 71) [54/82] 9 (8,10) [54/573] 92 (91, 93) [122/132] 28 (27, 29) [122/429]

Note.—Numbers in parentheses are 95% confidence intervals, and numbers in brackets are raw data. The baseline SSD achieved the highest metastasis-wise sensitivity and PPV. PPV = positive predictive value, SSD = single-shot detector.