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©The Author(s) 2022.
World J Clin Cases. Sep 6, 2022; 10(25): 8906-8921
Published online Sep 6, 2022. doi: 10.12998/wjcc.v10.i25.8906
Published online Sep 6, 2022. doi: 10.12998/wjcc.v10.i25.8906
Ref. | Year | Study design | Age (year) | N | Etiology | Field strength sequence | Comparison | Interval | Results |
Thomsen et al[22] | 1994 | 48 | 14 | Fatty liver | 1.5 T. STEAM (TE = 34 ms) | Liver biopsy | r = 0.897; P < 0.001 | ||
Longo et al[26] | 1995 | 45 | 29 | Diffuse steatosis | 1.5 T. PRESS (TE = 50–200 ms) | Liver biopsy | r = 0.70 | ||
Cowin et al[30] | 2008 | 42 | 12 | Steatosis | 1.5 T. PRESS (TE = 30 ms) | Liver biopsy | 6 wk | r = 0.928; P < 0.0001 | |
Irwan et al[63] | 2008 | Prospective | 47 | 10 | Healthy volunteers | 1.5 T. PRESS (TE = 30 ms) | Dual-echo imaging | One measurement session | r = 0.927. In the range 1%–10%, the MRI-determined the liver fat contents (corrected algorithm) are systematically higher, on average 4% (range: 2.1%–6.1%) than those obtained with MRS |
Kim et al[64] | 2008 | Prospective | 15.9 ± 5.3 | 28 | Lean and obese | 1.5 TPRESS (TE = 20 ms) | Two-Point Dixon | r = 0.954; P < 0.001 | |
Borra et al[65] | 2009 | Prospective | 62.8 ± 8.3 | 33 | Type 2 diabetes | 1.5 T. PRESS (TE = 25 ms) | IP/OP (Dixon) | r = 0.959–0.962; P < 0.001 | |
Reeder et al[66] | 2009 | Prospective | 49.0 ± 12 | 31 | Suspected steatosis and unrelated reasons | 1.5 T. PRESS (TE = 25 ms) | IDEAL | r = 0.83 ± 0.05; P < 0.001. Intercept (1.76 ± 0.76%; P = 0.03) | |
Zhong et al[31] | 2009 | 50 ± 12 | 36 | Fatty liver | 3.0 T. PRESS (TE = 144 ms) | 16-row multislice CT | r = –0.461; P = 0.005 | ||
Hu et al[67] | 2010 | 16 | 3.0 T. PRESS (TE = 23 ms) | IDEAL | Slope = 0.90, intercept = 1.07%; r2 = 0.95, P < 0.001 | ||||
Roldan-Valadez et al[68] | 2010 | 35 | 18 | Steatosis | 3.0 T | Liver biopsy | r = 0.876; P ≤ 0.001 | ||
Mehta et al[32] | 2010 | 39.9 | 50 | Steatosis | 1.5 T. PRESS (TE = 135 ms) | Ultrasound | BMI > 30, sensitivity 96%; BMI ≤ 30, sensitivity 64% | ||
Meisamy et al[23] | 2011 | Prospective | 40 | 55 | 1.5 T. STEAM (TE = 10, 20, 30, 40, and 50 ms) | IDEAL | r2 = 0.99 | ||
Georgoff et al[69] | 2012 | Prospective | 50.6 | 52 | Steatosis | 3.0 T. PRESS (TE = 50 ms) | Liver biopsy | 15 ± 9 d | Diagnostic accuracy was (AUC: 0.95; 95%CI: 0.89–1.0) |
Kang et al[18] | 2012 | Prospective | 54 | 56 | Steatosis | 1.5 T. STEAM (TE = 20, 30, 40, 50, and 60 ms) | Liver biopsy | 1–28 d | r = 0.95 |
Parente et al[70] | 2014 | Prospective | 54 ± 9 | 73 | Nonalcoholic fatty liver disease | 3.0 T. PRESS (TE = 40 ms) | Liver biopsy | r = 0.767; P < 0.001 | |
Bashir et al[71] | 2015 | Prospective | 55 ± 13.8 | 217 | Various hepatic diseases | 1.5 T. STEAM (TE = 12 ms) | Two-point Dixon | r = 0.61; P < 0.001 | |
Kim et al[57] | 2015 | 52.8 ± 14 | 42 | Various hepatic diseases | 3.0 T. STEAM (TE = 12, 24, 36, 48, and 72 ms) | In- and opposed-phase echo pairs | r = 0.97 | ||
Satkunasingham et al[72] | 2015 | Retrospective | 57.8 (12–83) | 156 | Various hepatic diseases | 3.0 T. STEAM (TE = 12, 24, 36, 48, and 72 ms) | MRI-PDFF | r = 0.977; P < 0.001 | |
Rastogi et al[73] | 2016 | Retrospective | 32.5 | 73 | Steatosis | 3.0 T. STEAM (TE = 15, 20, 25, 30, and 35 ms) | Biopsy and surgery | ≤ 20 d | MRS correlated well with the histopathology results (r = 0.882). An accuracy of 96% and sensitivity of 94% |
Kramer et al[6] | 2017 | Prospective | 57 ± 5 | 50 | Various hepatic diseases | 1.5 T. STEAM (TE = 10, 20, 30, 40, and 50 ms) | PDFF | r2 = 0.992; slope, 0.974; intercept, –0.943 |
Ref. | Year | Study design | Age (year) | N | Etiology | Field strength sequence | Comparison | Interval | Results |
Fishbein et al[35] | 2005 | 47 ± 10 | 38 | Various hepatic diseases | 1.5 T. IP/OP (Dixon) | Biopsy | 2 wk | r = 0.773, P < 0.001; Macrovesicular steatosis: r = 0.920, mixed steatosis: r = 0.605, P = 0.05 | |
Kalra et al[74] | 2009 | Prospective | 41 ± 9.2 | 10 | Nonalcoholic fatty liver disease | 1.5 T. IP/OP (Dixon) | Biopsy | Provides data on fat infiltration without information of hepatic fibrosis | |
Mennesson et al[41] | 2009 | Prospective | 52.5 | 40 | Various hepatic diseases | 1.5 T. IP/OP (Dixon) | Biopsy | Same day | r = 0.852; P < 0.0001 |
Fischer et al[37] | 2010 | Prospective | 66 ± 12 | 23 | Various hepatic diseases | 1.5 T IP/OP (Dixon) | Biopsy and surgery | ≤ 10 d | r = 0.92; P < 0.0001 |
Pacifico et al[75] | 2011 | Case–control | 7-16 | 25 | Nonalcoholicfatty liver disease | 1.5 T. Two-point Dixon | Biopsy | 1–7 d | r = 0.883; P < 0.0001 |
Guaraldi et al[76] | 2012 | Observational pilot | 16 | 1.5 T. IP/OP (Dixon) | Biopsy | r = 0.88; P < 0.0001 | |||
Koelblinger et al[77] | 2012 | Prospective | 60.5 | 35 | Various hepatic diseases | 3.0 T. IP/OP (Dixon) | Biopsy | Uncorrected: r = 0.67, P < 0.001. Spleen correction: r = 0.85, P < 0.001 | |
Rastogi et al[73] | 2016 | Retrospective | 32.5 | 73 | Steatosis | 3.0 T. IP/OP (Dixon) | Biopsy and surgery | ≤ 20 d | Dual-echo MRI correlated well with the histopathology results (r = 0.871). An accuracy of 95% and sensitivity of 97% |
Bhat et al[78] | 2017 | Prospective | 46 | 30 | Steatosis | 1.5 T. Two-point DIXON | Biopsy | 1 wk | Good correlation between the MR estimation of liver fat and histological grading. 90% of patients had a fat content of less than 10%. The maximal fat content of 28% was observed in one patient |
Ref. | Year | Study design | Age (year) | N | Etiology | Field strength sequence | Comparison | Interval | Results |
Noureddin et al[79] | 2013 | Randomized | 50 | Nonalcoholic fatty liver disease | MRI-PDFF | MRS | 0 and 24 wk | r2 = 0.98; P < 0.0001 | |
Idilman et al[28] | 2013 | Prospective | 44.7 ± 13.1 | 70 | Nonalcoholic fatty liver disease | 1.5 T. IDEAL-IQ | Biopsy | 14.5 d (0–259) | r = 0.820; The correlation of PDFF in mild hepatic steatosis was found to be better than that of moderate or severe steatosis (r = 0.835 and r = 0.402, respectively; P = 0.003) |
Deng et al[51] | 2014 | Prospective | 3–16 | 10 | Nonalcoholic fatty liver disease | 1.5 T. Multi-point Dixon | Biopsy | r = 0.90; P = 0.0004 | |
Kukuk et al[59] | 2015 | 51.7 ± 15.2 | 59 | Liver disorders | 3.0 T. Six echo-mDixon | Biopsy | ≤ 6 wk | r = 0.967, P < 0.001. Slightly a higher hepatic fat contents than q Histo (mean difference 2.1% for 6E-mDixon and 1.9% for MRS) | |
Rehm et al[52] | 2015 | Prospective | 13.3 ± 2 (11–22) | 132 | Healthy females | 3.0 T. Multi-echo Dixon | STEAM (TE = 10, 15, 20, 25, and 30 ms) | r = 0.96 | |
Schwimmer et al[80] | 2015 | Prospective | 14 | 174 | No steatosis and nonalcoholic fatty liver disease | 3.0 T. Multi-echo Dixon | Biopsy | 57 ± 51 d | r = 0.725; P < 0.01 |
Idilman et al[55] | 2016 | Retrospective | 41.7 ± 14.6 | 19 | Nonalcoholic fatty liver disease | 1.5 T. DEAL-IQ | Biopsy | r = 0.743; P < 0.001 | |
Hetterich et al[39] | 2016 | Prospective | 57.2 ± 9.4 | 215 | 3.0 T. STEAM (TE = 12, 24, 36, 48, and 72 ms) | Multi-echo Dixon | r = 0.96; P = 0.001 | ||
Middleton et al[81] | 2017 | Randomized | 51 ± 11 | 113 | Nonalcoholic steatohepatitis | 1.5 T or 3.0 T. Six echo-mDixon | Biopsy | 51 d | r = 0.80; P < 0.001 |
Kang et al[46] | 2018 | Prospective | 47.3 ± 14.9 | 29 | NAFLD (34). Alcoholic liver disease (13). Liver cirrhosis (9) | 3.0 T. mDIXON-Quant sequence | Biopsy | Same day | r = 0.809; P < 0.001 |
Pickhardt et al[82] | 2018 | Retrospective | 54 ± 12 | 221 | 1.5 T or 3.0 T. MRI-PDFF | CT | 0–158 mo | r = 0.88 (≤ 1 mo) substantially worsened with increasing time | |
Guo et al[83] | 2020 | PProspective | 52.6 (22–83) | 400 | Healthy adults and older adults | 3.0 T mDixon-Quant sequence | CT | Same day | r = 0.79; P < 0.001 |
- Citation: Li YW, Jiao Y, Chen N, Gao Q, Chen YK, Zhang YF, Wen QP, Zhang ZM. How to select the quantitative magnetic resonance technique for subjects with fatty liver: A systematic review. World J Clin Cases 2022; 10(25): 8906-8921
- URL: https://www.wjgnet.com/2307-8960/full/v10/i25/8906.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i25.8906