title: Quantification of macrovesicular and microvesicular hepatic steatosis in rats using 3.0-T ¹H-magnetic resonance spectroscopy.
abstract: OBJECTIVE
  Hepatic steatosis (HE), which is common among the general population, is present in donor organs, potentially affecting their graft survival as well as the recovery of the donor. Our goal was to develop an experimentally and clinically reliable, noninvasive method to quantify macrovesicular and microvesicular hepatic steatosis using 3-T (1)H-magnetic resonance spectroscopy (MRS).
  
  
  METHODS
  Macrovesicular and microvescular steatosis were induced in rats using methylcholine deficiency and choline deficiency diets. A MayoBC10 coil was used for radiofrequency transmission and signal recept. Measurements of hepatic fat content were performed using (1)H spectroscopy on a 3.0-T whole-body GE Signa system. The ratio of the areas under the curve of fat (0.8-1.3 ppm) and water (4.7 ppm) was used to determine hepatic fat content, which was compared with the degree of histopathologic and biochemical steatosis.
  
  
  RESULTS
  Twenty rats were divided into two groups based on the percentage of microvesicular liver steatosis. Group A (n = 13) was the lower percentage group (microvesicular < 10%) while group B (n = 7), the higher group (microvesicular ≥ 10%). The mean total fatty change in the liver was 58.4% ± 47.2% and 67.6% ± 39.1% in groups A and B, respectively. A highly significant linear correlation between (1)H-MRS and total fatty change was observed in group A (r = .986, P < .001) while there was a relatively poor correlation in group B (r = .764, P = .05). The power to predict fatty change in the liver in groups A and B was significantly different (P = .004).
  
  
  CONCLUSIONS
  The degree of hepatic steatosis with a small amount of microvesicular steatosis (<10%) can be precisely predicted using 3-T (1)H-MRS.
authors.affiliation: Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
authors.forename: H-Y
authors.initials: HY
authors.lastname: Ou
authors.forename: P-H
authors.initials: PH
authors.lastname: Chao
authors.forename: P-C
authors.initials: PC
authors.lastname: Yu
authors.forename: Y-C
authors.initials: YC
authors.lastname: Wei
authors.forename: C-L
authors.initials: CL
authors.lastname: Chen
authors.forename: C-Y
authors.initials: CY
authors.lastname: Yu
authors.forename: T-M
authors.initials: TM
authors.lastname: Chiu
authors.forename: Y-C
authors.initials: YC
authors.lastname: Chang
authors.forename: C-Y
authors.initials: CY
authors.lastname: Lai
authors.forename: Y-F
authors.initials: YF
authors.lastname: Cheng
mesh_terms: D000818:Animals; D019540:Area Under Curve; D015415:Biomarkers / Q000378:metabolism; D001706:Biopsy; D002794:Choline / Q000031:analogs & derivatives / Q000378:metabolism; D002796:Choline Deficiency / Q000150:complications; D004195:Disease Models, Animal; D005234:Fatty Liver / Q000175:diagnosis* / Q000209:etiology / Q000378:metabolism / Q000473:pathology; D050356:Lipid Metabolism; D008099:Liver / Q000378:metabolism* / Q000473:pathology; D009682:Magnetic Resonance Spectroscopy; D008297:Male; D011237:Predictive Value of Tests; D051381:Rats; D011917:Rats, Inbred Lew; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D013997:Time Factors
chemical_list: D015415:Biomarkers; C017506:methylcholine; D002794:Choline