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. 2020 Mar 20;4(6):1082–1092. doi: 10.1182/bloodadvances.2019001201

Table 3.

Univariable analysis of PFS and OS by dichotomized (below vs above the ROC cutoff point) functional PET parameters in the validation and testing sets

Univariable analysis of PFS Univariable analysis of OS
5-y PFS (95% CI), % Log-rank P HR (95%CI) NPV PPV 5-y OS (95% CI), % Log-rank P HR (95%CI) NPV PPV
Testing set SUVmax .164 0.6 (0.3-1.2) 84 27 .196 0.5 (0.2-1.4) 89 19
Low 72 (58-81) 81 (71-88)
high 80 (67-88) 90 (78-96)
MTV (mL) .0005 3.4 (1.6-7.0) 86 40 .0001 4.4 (1.9-10) 90 35
Low 83 (72-90) 91 (83-95)
High 61 (44-74) 65 (46-78)
TLG .0078 2.6 (1.3-5.6) 86 31 .0021 3.4 (1.5-7.8) 90 29
Low 83 (72-90) 90 (81-95)
High 65 (50-77) 73 (57-84)
MH .0780 1.9 (0.9-3.9) 84 29 .1011 2.0 (0.9-4.4) 87 22
Low 80 (69-88) 88 (79-93)
High 69 (54-80) 79 (65-88)
Validation set SUVmax .0935 2.2 (0.9-5.6) 83 32 .0432 2.6 (0.99-6.9) 86 32
Low 77 (63-86) 79 (63-89)
High 67 (41-84) 63 (34-82)
MTV (mL) .021 2.9 (1.1-7.3) 89 28 .0090 3.9 (1.3-11.8) 93 26
Low 85 (67-93) 92 (80-97)
High 66 (48-79) 62 (41-77)
TLG .0632 2.2 (0.9-5.0) 86 27 .0107 3.1 (1.2-7.8) 89 27
Low 82 (67-90) 83 (65-92)
High 64 (41-80) 63 (39-79)
MH .1547 1.8 (0.8-4.2) 84 28 .0433 2.5 (0.99-6.0) 88 28
Low 80 (64-89) 85 (74-92)
High 67 (47-81) 56 (26-78)

Bold P values indicate statistically significant results (P < .05).