Skip to main content
. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Gastroenterology. 2017 Jun 15;153(3):753–761. doi: 10.1053/j.gastro.2017.06.005

Table 4. Diagnostic accuracy of PDFF for classifying steatosis.

Cross-sectional steatosis grade classification (n=113) MRI PDFF threshold (%) at 90% specificity Sensitivity PPV NPV AUROC (95% CI)
0-1 vs 2-3 16.3 83% (62/75) 95% (62/65) 73% (35/48) 0.95 (0.91–0.98)
0-2 vs 3 21.7 84% (26/31) 76% (26/34) 94% (74/79) 0.96 (0.93–0.99)
Longitudinal steatosis grade change classification (n=78) Mean (SD) PDFF change (%) Cutoff PDFF change at 90% specificity (%) Sensitivity PPV NPV AUROC (95% CI)
Decrease in steatosis grade (improvement) (42%) -7.4±8.7 - 5.1 58% (19/33) 83% (19/23) 75% (41/55) 0.81 (0.71–0.91)
No change in steatosis grade (49%) 0.3±6.3 - - - - -
Increase in steatosis grade (worsening) (9%) 7.7±6.0 5.6 57% (4/7) 36% (4/11) 96% (64/67) 0.81 (0.63–0.99)

Notes: PDFF = proton density fat fraction; MRI = magnetic resonance imaging; PPV = positive predictive value; NPV = negative predictive value; AUROC = area under ROC curve; CI = confidence interval