Skip to main content

Table 2 Posthepatectomy liver failure (PHLF)

From: Can 3D imaging modeling recognize functional tissue and predict liver failure? A retrospective study based on 3D modelling of the major hepatectomies after hepatic modulation

Post values

PHLF < B

n = 18

PHLF > B

n = 6

p

FLR (cc) (Median, range)

1023,48 (662–1631)

941 (536–1651)

0,542

FLFx(cc) (Median, range)

672 (124–1502)

456 (128–761)

0.096

FLRV(%) (Median, range)

70 (29–127)

72 (44–122)

0,864

FLFxV(%) (Median, range)

50 (4–117)

34 (11–49)

0,096

iFLR(%) (Median, range)

93 (15–242)

101 (26–145)

0,763

iFLFx(%) (Median, range)

45 (-79–166)

29 (-71–146)

0,683

sFLR(%) (Median, range)

74 (53–117)

62 (39–99)

0,196

KGR (%/day) (Median, range)

1,54 (0–5)

1,51 (0–4)

0,997