Copyright
©The Author(s) 2016.
World J Radiol. Nov 28, 2016; 8(11): 857-867
Published online Nov 28, 2016. doi: 10.4329/wjr.v8.i11.857
Published online Nov 28, 2016. doi: 10.4329/wjr.v8.i11.857
Table 1 Detection of fibrosis using diffusion-weighted imaging
Tesla | Respiratory | Staging | ROI setting | b-value | Diagnostic accuracy of fibrosis F3 or grater | |||
AUC | Sensitivity | Specificity | ||||||
Cece et al[91] | 1.5 | BH | MTAVIR | 5 ROIs, Both | 0, 500, 1000 | 0.888 | 92.9 | 79.4 |
Taouli et al[92] | 1.5 | BH | MTAVIR | 4 ROIs, Both | 0, 50 | 0.717 | 40 | 100 |
0, 300 | 0.716 | 50 | 94.7 | |||||
0, 500 | 0.835 | 70 | 85 | |||||
0, 700 | 0.901 | 66.7 | 100 | |||||
0, 1000 | 0.832 | 80 | 90 | |||||
0, 50, 300, 500, 700, 1000 | 0.896 | 88.9 | 80 | |||||
Kocakoc et al[93] | 1.5 | BH | Ishak | 3 ROIs, Both | 100, 600, 1000 | 0.759 | 56.5 | 99.3 |
Wu et al[47] | 3 | RT | MTAVIR | 5 ROIs, Right | 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 1000 | 0.684 | ||
Chung et al[48] | 1.5 | RT | MTAVIR | 6 ROIs, Right | 0, 100, 200, 900 | 0.768 | ||
0, 30, 60, 100, 150, 200, 900 | 0.764 | |||||||
0, 30, 60, 100, 150, 200, 400, 600, 900 | 0.754 | 65.5 | 82.1 | |||||
Ding et al[94] | 1.5 | FB | New Inuyama | Whole right lobe | 0, 500 | 0.61 | 30.4 | 90.6 |
Feier et al[43] | 3 | NA | MTAVIR | 1 ROI, Right | 50, 300, 600 | 0.77 | 81.08 | 72.5 |
Fujimoto et al[95] | 1.5 | NA | MTAVIR | 4 ROIs, Right | 0, 1000 (entropy ADC) | 0.926 | 87 | 84 |
Do et al[46] | 1.5 | BT | Ludwig | 4 ROIs, Right | 0, 50, 500 (normalized ADC) | 0.689 | 56 | 71 |
Bonekamp et al[96] | 1.5 | BT | MTAVIR | 9 ROIs, Both | 0, 750 | 0.8 | 83.9 | 68.5 |
Wang et al[44] | 1.5 | NA | MTAVIR | 3 ROIs, Right | 50, 500, 1000 | 0.84 | 88 | 76 |
Lewin et al[41] | 1.5 | RT | MTAVIR | 3 ROIs, Right | 0, 200, 400, 800 | 0.92 | 87 | 87 |
Sandrosegaran et al[40] | 1.5 | BH | 2 ROIs, Both | 50, 400 | 0.656 | 51.7 | 71.4 |
Table 2 Detection of liver tumor in combination with Gd-EOB-DTPA- enhanced magnetic resonance imaging
Tesla | Respiratory | b-value (× 10-3 s/mm2) | Tumor | Results | |
Kim et al[97] | 3 | RT | 0, 100, 800 | Mets | Combined EOB-MRI and DWI yielded better accuracy and sensitivity |
(Various) | |||||
Chung et al[98] | 3 | FB | 50, 400, 800 | Mets | Combined EOB-MRI and DWI yielded better accuracy and sensitivity |
(colorectal) | |||||
Koh et al[99] | 1.5 | FB | 0, 50, 100, 250, 500, 750 | Mets | Combined EOB-MRI and DWI improved detection |
(colorectal) | |||||
Löwenthal et al[100] | 1.5 | BH | 0, 500 | Mets | DWI can detect small lesions |
(colorectal) | |||||
Shimada et al[101] | 3 | RT | 0, 500 | Mets | EOB-MRI showed higher accuracy |
(Various) | |||||
Donati et al[102] | 1.5 | BH | 0, 150, 500 | Mets | No added value of DWI |
(Various) | |||||
Kim et al[103] | 1.5 | RT | 0, 50, 600 | Mets, HCC | DWI increases sensitivity for detecting Mets |
No added value of DWI for HCC detection |
Table 3 Characteristic differentiation of liver tumors
Tesla | b-value | ADC (×10-3 mm2) | ||||||
Benign | Malignant | |||||||
Cyst | Hemangioma | All | HCC | Mets | All | |||
Goshima et al[104] | 1.5 | 0, 100, 200, 400, 800 | 3.70 ± 0.9 | 1.23 ± 0.2 | 1.08 ± 0.3 | 0.99 ± 0.5 | ||
Battal et al[105] | 1.5 | 0, 800 | 1.94 ± 0.61 | 0.86 ± 0.13 | ||||
Gurtosoyianni et al[106] | 1.5 | 0, 50, 500, 1000 | 2.55 | 1.9 | 2.55 | 1.38 | 0.99 | 1.04 |
Testa et al[71] | 1.5 | 0, 600 | 2.4 | 1 | ||||
Miller et al[73] | 1.5 | 0, 500 | 3.40 ± 0.48 | 2.26 ± 0.70 | 2.50 ± 0.86 | 1.54 ± 0.44 | 1.50 ± 0.65 | 1.52 ± 0.55 |
Namimoto et al[107] | 1.5 | 30, 1200 | 3.05 | 1.95 | 0.99 | 1.15 | 1.04 | |
Kim et al[108] | 1.5 | 3, 57, 192, 408, 517, 705, 846 | 2.91 ± 1.51 | 2.04 ± 1.01 | 2.49 ± 1.39 | 0.97 ± 0.31 | 1.06 ± 0.50 | 1.01 ± 0.38 |
Taouli et al[67] | 1.5 | 0, 500 | 3.63 ± 0.56 | 2.95 ± 0.67 | 1.33 ± 0.13 | 0.94 ± 0.60 | ||
Cieszanowsk et al[109] | 1.5 | 50, 400, 800 | 2.45 | 1,55 | 1.86 | 0.94 | 1.05 | 1.07 |
Bruegel et al[72] | 1.5 | 50, 300, 600 | 3.02 ± 0.31 | 1.92 ± 0.34 | 1.05 ± 0.09 | 1.22 ± 0.31 | ||
Kandpal et al[13] | 1.5 | 0, 500 | 2.90 ± 0.51 | 2.36 ± 0.48 | 1.27 ± 0.42 | 1.13 ± 0.41 | ||
Demir et al[110] | 1.5 | 0, 1000 | 3.05 ± 0.26 | 2.46 ± 0.21 | 2.57 ± 0.26 | 0.90 ± 0.10 | 0.79 ± 0.11 | 0.86 ± 0.11 |
Oner et al[111] | 1.5 | 0, 500 | 2.34 ± 0.36 | 1.72 ± 0.30 | 1.03 ± 0.24 | |||
Holzapfel et al[112] | 1.5 | 50, 300, 600 | 2.61 ± 0.57 | 1.69 ± 0.34 | 2.36 ± 0.62 | 1.12 ± 0.28 | 1.08 ± 0.32 | 1.09 ± 0.30 |
Table 4 Histological differentiation of hepatocellular carcinoma using apparent diffusion coefficient
Tesla | Respiratory | b-value (s/mm2) | Well-diff HCC(×10-3 mm2/s) | Mod diff HCC(×10-3 mm2/s) | Poorly diff HCC(×10-3 mm2/s) | Difference | |
Saito et al[113] | 1.5 | RT | 100, 800 | 1.25 ± 0.25 | 1.12 ± 0.22 | 1.13 ± 0.23 | NS |
Nasu et al[114] | 1.5 | RT | 0, 500 | 1.45 ± 0.35 | 1.46 ± 0.32 | 1.36 ± 0.29 | NS |
Heo et al[77] | 1.5 | FB | 0, 1000 | 1.2 ± 0.22 | 1.1 ± 0.10 | 0.9 ± 0.13 | p < w, m |
Nakanishi et al[80] | 1.5 | RT | 50, 1000 | NA | 1.29 ± 0.21 | 1.07 ± 0.15 | p < m |
Nishie et al[75] | 1.5 | RT | 0, 500, 1000 | 1.21 ± 0.11 | 1.14 ± 0.26 | 0.76 ± 0.10 | p < w, m |
Guo et al[79] | 3.0 | BH | 0, 600 | 1.43 ± 0.09 | 1.34 ± 0.19 | 1.16 ± 0.16 | p < w, m |
- Citation: Saito K, Tajima Y, Harada TL. Diffusion-weighted imaging of the liver: Current applications. World J Radiol 2016; 8(11): 857-867
- URL: https://www.wjgnet.com/1949-8470/full/v8/i11/857.htm
- DOI: https://dx.doi.org/10.4329/wjr.v8.i11.857