Systematic Reviews
Copyright ©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
Table 1 Studies reporting on the measurement of the hepatic fat content with 1H-magnetic resonance spectroscopy versus liver biopsy and other imaging methods
Ref.
Year
Study design
Age (year)
N
Etiology
Field strength sequence
Comparison
Interval
Results
Thomsen et al[22]19944814Fatty liver1.5 T. STEAM (TE = 34 ms)Liver biopsyr = 0.897; P < 0.001
Longo et al[26]19954529Diffuse steatosis1.5 T. PRESS (TE = 50–200 ms)Liver biopsyr = 0.70
Cowin et al[30]20084212Steatosis1.5 T. PRESS (TE = 30 ms)Liver biopsy6 wkr = 0.928; P < 0.0001
Irwan et al[63]2008Prospective4710Healthy volunteers1.5 T. PRESS (TE = 30 ms)Dual-echo imagingOne measurement sessionr = 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]2008Prospective15.9 ± 5.328Lean and obese1.5 TPRESS (TE = 20 ms)Two-Point Dixonr = 0.954; P < 0.001
Borra et al[65]2009Prospective62.8 ± 8.333Type 2 diabetes1.5 T. PRESS (TE = 25 ms)IP/OP (Dixon)r = 0.959–0.962; P < 0.001
Reeder et al[66]2009Prospective49.0 ± 1231Suspected steatosis and unrelated reasons1.5 T. PRESS (TE = 25 ms)IDEALr = 0.83 ± 0.05; P < 0.001. Intercept (1.76 ± 0.76%; P = 0.03)
Zhong et al[31]200950 ± 1236Fatty liver3.0 T. PRESS (TE = 144 ms)16-row multislice CTr = –0.461; P = 0.005
Hu et al[67]2010163.0 T. PRESS (TE = 23 ms)IDEALSlope = 0.90, intercept = 1.07%; r2 = 0.95, P < 0.001
Roldan-Valadez et al[68]20103518Steatosis3.0 TLiver biopsyr = 0.876; P ≤ 0.001
Mehta et al[32]201039.950Steatosis1.5 T. PRESS (TE = 135 ms)UltrasoundBMI > 30, sensitivity 96%; BMI ≤ 30, sensitivity 64%
Meisamy et al[23]2011Prospective40551.5 T. STEAM (TE = 10, 20, 30, 40, and 50 ms)IDEALr2 = 0.99
Georgoff et al[69]2012Prospective50.652Steatosis3.0 T. PRESS (TE = 50 ms)Liver biopsy15 ± 9 dDiagnostic accuracy was (AUC: 0.95; 95%CI: 0.89–1.0)
Kang et al[18]2012Prospective5456Steatosis1.5 T. STEAM (TE = 20, 30, 40, 50, and 60 ms)Liver biopsy1–28 dr = 0.95
Parente et al[70]2014Prospective54 ± 973Nonalcoholic fatty liver disease3.0 T. PRESS (TE = 40 ms)Liver biopsyr = 0.767; P < 0.001
Bashir et al[71]2015Prospective55 ± 13.8217Various hepatic diseases1.5 T. STEAM (TE = 12 ms)Two-point Dixonr = 0.61; P < 0.001
Kim et al[57]201552.8 ± 1442Various hepatic diseases3.0 T. STEAM (TE = 12, 24, 36, 48, and 72 ms)In- and opposed-phase echo pairsr = 0.97
Satkunasingham et al[72]2015Retrospective57.8 (12–83)156Various hepatic diseases3.0 T. STEAM (TE = 12, 24, 36, 48, and 72 ms)MRI-PDFFr = 0.977; P < 0.001
Rastogi et al[73]2016Retrospective32.573Steatosis3.0 T. STEAM (TE = 15, 20, 25, 30, and 35 ms)Biopsy and surgery≤ 20 dMRS correlated well with the histopathology results (r = 0.882). An accuracy of 96% and sensitivity of 94%
Kramer et al[6]2017Prospective57 ± 550Various hepatic diseases1.5 T. STEAM (TE = 10, 20, 30, 40, and 50 ms)PDFFr2 = 0.992; slope, 0.974; intercept, –0.943
Table 2 Studies reporting on the measurement of the hepatic fat content with in-phase and out-of-phase imaging versus liver biopsy and other imaging methods
Ref.
Year
Study design
Age (year)
N
Etiology
Field strength sequence
Comparison
Interval
Results
Fishbein et al[35]200547 ± 1038Various hepatic diseases1.5 T. IP/OP (Dixon)Biopsy2 wkr = 0.773, P < 0.001; Macrovesicular steatosis: r = 0.920, mixed steatosis: r = 0.605, P = 0.05
Kalra et al[74]2009Prospective41 ± 9.210Nonalcoholic fatty liver disease1.5 T. IP/OP (Dixon)BiopsyProvides data on fat infiltration without information of hepatic fibrosis
Mennesson et al[41]2009Prospective52.540Various hepatic diseases1.5 T. IP/OP (Dixon)BiopsySame dayr = 0.852; P < 0.0001
Fischer et al[37]2010Prospective66 ± 1223Various hepatic diseases1.5 T IP/OP (Dixon)Biopsy and surgery≤ 10 dr = 0.92; P < 0.0001
Pacifico et al[75]2011Case–control7-1625Nonalcoholicfatty liver disease1.5 T. Two-point DixonBiopsy1–7 dr = 0.883; P < 0.0001
Guaraldi et al[76]2012Observational pilot161.5 T. IP/OP (Dixon)Biopsyr = 0.88; P < 0.0001
Koelblinger et al[77]2012Prospective60.535Various hepatic diseases3.0 T. IP/OP (Dixon)BiopsyUncorrected: r = 0.67, P < 0.001. Spleen correction: r = 0.85, P < 0.001
Rastogi et al[73]2016Retrospective32.573Steatosis3.0 T. IP/OP (Dixon)Biopsy and surgery≤ 20 dDual-echo MRI correlated well with the histopathology results (r = 0.871). An accuracy of 95% and sensitivity of 97%
Bhat et al[78]2017Prospective4630Steatosis1.5 T. Two-point DIXONBiopsy1 wkGood 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
Table 3 Studies reporting on the measurement of the hepatic fat content with multiple-point Dixon imaging versus liver biopsy and other imaging methods
Ref.
Year
Study design
Age (year)
N
Etiology
Field strength sequence
Comparison
Interval
Results
Noureddin et al[79]2013Randomized50Nonalcoholic fatty liver diseaseMRI-PDFFMRS0 and 24 wkr2 = 0.98; P < 0.0001
Idilman et al[28]2013Prospective44.7 ± 13.170Nonalcoholic fatty liver disease1.5 T. IDEAL-IQBiopsy14.5 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]2014Prospective3–1610Nonalcoholic fatty liver disease1.5 T. Multi-point DixonBiopsyr = 0.90; P = 0.0004
Kukuk et al[59]201551.7 ± 15.259Liver disorders3.0 T. Six echo-mDixonBiopsy≤ 6 wkr = 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]2015Prospective13.3 ± 2 (11–22)132Healthy females3.0 T. Multi-echo Dixon STEAM (TE = 10, 15, 20, 25, and 30 ms)r = 0.96
Schwimmer et al[80]2015Prospective14174No steatosis and nonalcoholic fatty liver disease3.0 T. Multi-echo Dixon Biopsy57 ± 51 dr = 0.725; P < 0.01
Idilman et al[55]2016Retrospective41.7 ± 14.619Nonalcoholic fatty liver disease1.5 T. DEAL-IQBiopsyr = 0.743; P < 0.001
Hetterich et al[39]2016Prospective57.2 ± 9.42153.0 T. STEAM (TE = 12, 24, 36, 48, and 72 ms)Multi-echo Dixonr = 0.96; P = 0.001
Middleton et al[81]2017Randomized51 ± 11113Nonalcoholic steatohepatitis1.5 T or 3.0 T. Six echo-mDixonBiopsy51 dr = 0.80; P < 0.001
Kang et al[46]2018Prospective47.3 ± 14.929NAFLD (34). Alcoholic liver disease (13). Liver cirrhosis (9)3.0 T. mDIXON-Quant sequenceBiopsySame dayr = 0.809; P < 0.001
Pickhardt et al[82]2018Retrospective54 ± 122211.5 T or 3.0 T. MRI-PDFFCT0–158 mor = 0.88 (≤ 1 mo) substantially worsened with increasing time
Guo et al[83]2020PProspective52.6 (22–83)400Healthy adults and older adults3.0 T mDixon-Quant sequenceCTSame dayr = 0.79; P < 0.001