Copyright
©The Author(s) 2023.
World J Gastroenterol. May 7, 2023; 29(17): 2534-2550
Published online May 7, 2023. doi: 10.3748/wjg.v29.i17.2534
Published online May 7, 2023. doi: 10.3748/wjg.v29.i17.2534
Table 2 Summary of studies using ultrasound methods to evaluate hepatic steatosis
Ref. | No. | Method | Reference standard | Grade of steatosis | Optimal cutoff value | AUROC |
Bae et al[59], 2019 | 108 | ATI | LB | ≥ S1 | 0.64 | 0.84 |
≥ S2 | 0.70 | 0.89 | ||||
≥ S3 | 0.75 | 0.93 | ||||
Bae et al[60], 2022 | 120 | ATI | LB | ≥ S1 | 0.66 | 0.91 |
≥ S2 | 0.66 | 0.91 | ||||
Tada et al[62], 2019 | 148 | ATI | LB | ≥ S1 | 0.66 | 0.85 |
≥ S2 | 0.67 | 0.91 | ||||
≥ S3 | 0.68 | 0.91 | ||||
Tada et al[63], 2020 | 119 | ATI | MRI-PDFF | ≥ S1 | 0.63 | 0.81 |
≥ S2 | 0.73 | 0.87 | ||||
≥ S3 | 0.75 | 0.94 | ||||
Jeon et al[61], 2019 | 87 | ATI | MRI-PDFF | ≥ S1 | 0.59 | 0.76 |
Ferraioli et al[65], 2019 | 129 | ATI | MRI-PDFF | ≥ S1 | 0.63 | 0.91 |
≥ S2 | 0.72 | 0.95 | ||||
Ferraioli et al[66], 2021 | 72 | ATI-GEN | MRI-PDFF | ≥ S1 | 0.62 | 0.92 |
ATI-PEN | MRI-PDFF | ≥ S1 | 0.69 | 0.90 | ||
Sugimoto et al[67], 2021 | 111 | ATI | LB | ≥ S1 | 0.67 | 0.88 |
≥ S2 | 0.72 | 0.86 | ||||
≥ S3 | 0.86 | 0.79 | ||||
Hsu et al[70], 2021 | 28 | ATI | LB | ≥ S1 | 0.69 | 0.97 |
≥ S2 | 0.78 | 0.99 | ||||
≥ S3 | 0.82 | 0.97 | ||||
Kwon et al[57], 2021 | 100 | ATI | MRI-PDFF | ≥ S1 | 0.62 | 0.91 |
≥ S2 | 0.72 | 0.94 | ||||
Jang et al[58], 2022 | 57 | ATI | LB | ≥ S1 | 0.62 | 0.81 |
Koizumi et al[73], 2019 | 89 | ATT | LB | ≥ S1 | 0.68 | 0.74 |
≥ S2 | 0.72 | 0.80 | ||||
≥ S3 | 0.78 | 0.96 | ||||
Tamaki et al[54], 2018 | 351 | ATT | LB | ≥ S1 | 0.63 | 0.79 |
≥ S2 | 0.69 | 0.87 | ||||
≥ S3 | 0.85 | 0.96 | ||||
Fujiwara et al[75], 2018 | 163 | UGAP | LB | ≥ S1 | 0.53 | 0.90 |
≥ S2 | 0.60 | 0.95 | ||||
≥ S3 | 0.65 | 0.96 | ||||
Imajo et al[76], 2022 | 1010 | UGAP | MRI-PDFF | ≥ S1 | 0.65 | 0.91 |
≥ S2 | 0.71 | 0.91 | ||||
≥ S3 | 0.77 | 0.89 | ||||
Kuroda et al[79], 2021 | 202 | UGAP | LB | ≥ S1 | 0.49 | 0.89 |
≥ S2 | 0.65 | 0.91 | ||||
≥ S3 | 0.69 | 0.92 | ||||
Tada et al[80], 2019 | 126 | UGAP | MRI-PDFF | ≥ S1 | 0.60 | 0.92 |
≥ S2 | 0.69 | 0.87 | ||||
≥ S3 | 0.69 | 0,89 | ||||
Jeon et al[83], 2021 | 120 | TAI | MRI-PDFF | ≥ S1 | 0.88 | 0.86 |
TSI | MRI-PDFF | ≥ S1 | 91.2 | 0.96 | ||
Rónaszéki et al[84], 2022 | 110 | TAI | MRI-PDFF | ≥ S1 | 0.59 | 0.92 |
TSI | MRI-PDFF | ≥ S1 | 99.7 | 0.91 | ||
Şendur et al[85], 2023 | 80 | TAI | MRI-PDFF | ≥ S1 | 0.75 | 0.95 |
≥ S2 | 0.86 | 0.97 | ||||
≥ S3 | 0.96 | 0.97 | ||||
TSI | MRI-PDFF | ≥ S1 | 92.44 | 0.96 | ||
≥ S2 | 96.64 | 0.91 | ||||
≥ S3 | 99.45 | 0.94 | ||||
Lin et al[91], 2015 | 204 | BSC | MRI-PDFF | ≥ S1 | 0.0038 | 0.98 |
Dillman et al[94], 2022 | 56 | UDFF | MRI-PDFF | ≥ S1 | 5% | 0.90 |
Labyed et al[37], 2020 | 101 | UDFF | LB | ≥ S1 | 8.1% | 0.94 |
≥ S2 | 15.9% | 0.88 | ||||
≥ S3 | 16.1% | 0.83 |
- Citation: Zeng KY, Bao WYG, Wang YH, Liao M, Yang J, Huang JY, Lu Q. Non-invasive evaluation of liver steatosis with imaging modalities: New techniques and applications. World J Gastroenterol 2023; 29(17): 2534-2550
- URL: https://www.wjgnet.com/1007-9327/full/v29/i17/2534.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i17.2534