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©The Author(s) 2023.
World J Hepatol. May 27, 2023; 15(5): 609-640
Published online May 27, 2023. doi: 10.4254/wjh.v15.i5.609
Published online May 27, 2023. doi: 10.4254/wjh.v15.i5.609
Ref. | Marker | Country | Categories Tested | Sample size (n) | Dx | Cutoff | AUROC (95%CI) | Sens (%) | Spec (%) | PPV (%) | NPV (%) | P value |
Yang et al[106], 2022 | CAP [dB/m] | China | Predicting NAFL in with obesity | NAFLD (n = 61), Non-NAFLD (n = 59), NAFL (n = 44), NASH (n = 17) | US | > 262.5 | 0.659 (0.561-0.758) | 59.1 | 60.5 | 0.0037 | ||
Yang et al[106], 2022 | CAP [dB/m] | China | Predicting NAFL in with obesity | NAFLD (n = 61), Non-NAFLD (n = 59), NAFL (n = 44), NASH (n = 17) | US | > 258 | 0.757 (0.668-0.845) | 67.2 | 67.2 | <0.001 | ||
Chaidez et al[105], 2022 | CAP [dB/m] | United States | S1-S3 vs S0 | Total (n = 206), NAFLD (n = 116), Non-NAFLD (n = 90) | Biopsy | ≥ 259 | 0.98 (0.96-0.99) | 94 | 91 | 97 | 91 | |
Yang et al[106], 2022 | LSM [kPa] | China | Predicting NAFL in with obesity | NAFLD (n = 61), Non-NAFLD (n = 59), NAFL (n = 44), NASH (n = 17) | US | > 4.95 | 0.674 (0.577-0.771) | 61.4 | 64.5 | 0.0015 | ||
Yang et al[106], 2022 | LSM [kPa] | China | Predicting NAFL in with obesity | NAFLD (n = 61), Non-NAFLD (n = 59), NAFL (n = 44), NASH (n = 17) | US | > 4.65 | 0.768 (0.684-0.852) | 70.5 | 70.7 | < 0.001 | ||
Trout et al[134], 2018 | MRE [kPa] | United States | NAFLD stage 0-1 vs ≥ stage 2 fibrosis in patients with steatosis | Total (n = 86), Ludwig ≥ stage 2 (n = 51), steatosis (n = 44) | Biopsy | 2.28 | 0.53 (0.35-0.71) | 52.2 | 71.4 | |||
Trout et al[134], 2018 | MRE [kPa] | United States | NAFLD stage 0-1 vs ≥ stage 2 fibrosis in patients with steatosis | Total (n = 86), Ludwig ≥ stage 2 (n = 51), steatosis (n = 44) | Biopsy | 0.94 | 13 | 100 | ||||
Middleton et al[121], 2018 | MRI-PDFF [%] | United States | Grade 1 steatosis vs grade 2-3 | Baseline MRI (n = 110), no baseline MRI (n = 59) | Biopsy | 17.5 | 0.87 (0.80-0.94) | 74 | 90 | 97 | 41 | |
Middleton et al[121], 2018 | MRI-PDFF [%] | United States | Grade 1-2 steatosis vs grade 3 | Baseline MRI (n = 110), no baseline MRI (n = 59) | Biopsy | 23.3 | 0.79 (0.70-0.87) | 60 | 90 | 88 | 65 | |
Middleton et al[121], 2018 | MRI-PDFF [%] | United States | Decrease in steatosis grade | Baseline MRI (n = 110), no baseline MRI (n = 59) | Biopsy | -11 | 0.76 (0.66-0.87) | 31 | 90 | 78 | 60 | |
Middleton et al[121], 2018 | MRI-PDFF [%] | United States | Increase in steatosis grade | Baseline MRI (n = 110), no baseline MRI (n = 59) | Biopsy | 5.5 | 0.83 (0.73-0.92) | 40 | 90 | 33 | 92 | |
Zhao et al[123], 2019 | MRI-PDFF [%] | China | Detecting ≥ S1 | Total (n = 86), Obese/overweight (n = 65), healthy nonobese controls (n = 21) | MRS | 5.1 | 0.991 (0.977-1.00) | 95 | 100 | |||
Di Martino et al[122], 2016 | MRI-PDFF [%] | United States | Presence of steatosis | NASH (n = 27), healthy controls (n = 27) | Biopsy | 3.5 | 89 | 88 | ||||
Di Martino et al[122], 2016 | MRS [%] | United States | Presence of steatosis | NASH (n = 27), healthy controls (n = 27) | Biopsy | 6 | 92.6 | 95.7 |
- Citation: Jayasekera D, Hartmann P. Noninvasive biomarkers in pediatric nonalcoholic fatty liver disease. World J Hepatol 2023; 15(5): 609-640
- URL: https://www.wjgnet.com/1948-5182/full/v15/i5/609.htm
- DOI: https://dx.doi.org/10.4254/wjh.v15.i5.609