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. Author manuscript; available in PMC: 2011 Nov 1.
Published in final edited form as: Cancer. 2010 Nov 1;116(21):5093–5101. doi: 10.1002/cncr.25260

Table 4.

Sensitivity, specificity and accuracy of the developed algorithms to predict treatment failure (local tumor recurrence or dead of disease)

Prediction Algorithms Sensitivity (%)
(95% CI)
Specificity (%)
(95% CI)
Accuracy
rate (%)
Local Tumor Recurrence
1 (V4/V1 >10%) 67 (41, 87) 100 (94, 100) 93
2 (V3/V1 >20%) 89 (65, 99) 79 (66, 88) 81
3 (V1 >40 cm3) & (V3/V1 >20%) 89 (65, 99) 87 (76, 94) 88
4 (V1 >40 cm3) & (V2/V1 >75%) 61 (36, 83) 94 (84, 98) 86
Dead of Disease
1 (V4/V1 >10%) 36 (19, 56) 96 (87, 100) 75
2 (V3/V1 >20%) 54 (34, 72) 73 (59, 84) 66
3 (V1 >40 cm3) & (V3/V1 >20%) 54 (34, 72) 83 (70, 92) 73
4 (V1 >40 cm3) & (V2/V1 >75%) 36 (19, 56) 90 (79, 97) 71