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. 2017 Aug 28;26(6):229–241. doi: 10.1097/RMR.0000000000000149

TABLE 1.

Diagnostic Performance of MRI Techniques for Liver Fibrosis Quantification

Fibrosis Stage ≥1 Fibrosis Stage ≥2 Fibrosis Stage ≥3 Fibrosis Stage 4
Technique Study Sensitivity Specificity AUC Sensitivity Specificity AUC Sensitivity Specificity AUC Sensitivity Specificity AUC
Magnetic resonance elastography Wang et al, 201227 0.83 0.99 0.95 0.94 0.95 0.98 0.92 0.96 0.98 0.99 0.94 0.99
Singh et al, 201528 0.73 0.79 0.84 0.79 0.81 0.88 0.85 0.85 0.93 0.91 0.81 0.92
Guo et al, 201529 0.87 0.93 0.94 0.87 0.94 0.97 0.87 0.92 0.96 0.93 0.91 0.97
Diffusion-weighted imaging Wang et al, 201227 0.81 0.82 0.86 0.77 0.78 0.83 0.72 0.84 0.86
Jiang et al, 201630 0.78 0.78 0.86 0.81 0.8 0.88 0.71 0.84 0.88 0.8 0.77 0.86
Texture
Unenhanced House et al, 201531 0.78–0.87
Kato et al, 200732 0.53–0.60
Double enhanced Aguirre et al, 200633 0.82–0.89
Bahl et al, 201234 0.919 0.839
Yokoo et al, 201535 0.659 0.8 0.814 0.895 0.778 0.889 0.778 0.784 0.862 1 0.93 0.976
Gd enhanced Kato et al, 200732 0.62–0.80
Superparamagnetic iron oxide enhanced Aguirre et al, 200633 0.40–0.84
Perfusion imaging Hagiwara et al, 200836 0.31–0.92 0.64–1.00 0.61–0.82
Ou et al, 201337 0.78 0.84 0.83 0.90 0.77 0.85 0.81 0.85 0.88 0.80 0.89 0.92
Patel et al, 201038 0.50–1.00 0.50–1.00 0.57–0.95
Hepatocellular function imaging Choi et al, 201339 0.46 0.85 0.46 0.82 0.63 0.68 0.76 0.65
Feier et al, 201340 0.70 0.85 0.81 0.75 0.77 0.82 0.73 0.87 0.85 0.83 0.80 0.83
Goshima et al, 201241 1.00 0.73 0.91 1.00 0.87 0.96 0.74 0.98 0.93 0.91 1.00 0.97
Motosugi et al, 201142 0.87 0.75 0.82 0.75 0.56 0.68 0.75 0.50 0.63 0.82 0.49 0.62
T1ρ Allkemper et al, 201443 1.00 0.84 0.97

Adapted from Petitclerc et al.44.

AUC indicates area under the receiver operating characteristic curve.