scholarly journals External validation of the fatty liver index and lipid accumulation product indices, using 1H-magnetic resonance spectroscopy, to identify hepatic steatosis in healthy controls and obese, insulin-resistant individuals

2014 ◽  
Vol 171 (5) ◽  
pp. 561-569 ◽  
Author(s):  
Daniel J Cuthbertson ◽  
Martin O Weickert ◽  
Daniel Lythgoe ◽  
Victoria S Sprung ◽  
Rebecca Dobson ◽  
...  

Background and aimsSimple clinical algorithms including the fatty liver index (FLI) and lipid accumulation product (LAP) have been developed as surrogate markers for non-alcoholic fatty liver disease (NAFLD), constructed using (semi-quantitative) ultrasonography. This study aimed to validate FLI and LAP as measures of hepatic steatosis, as determined quantitatively by proton magnetic resonance spectroscopy (1H-MRS).MethodsData were collected from 168 patients with NAFLD and 168 controls who had undergone clinical, biochemical and anthropometric assessment. Values of FLI and LAP were determined and assessed both as predictors of the presence of hepatic steatosis (liver fat >5.5%) and of actual liver fat content, as measured by 1H-MRS. The discriminative ability of FLI and LAP was estimated using the area under the receiver operator characteristic curve (AUROC). As FLI can also be interpreted as a predictive probability of hepatic steatosis, we assessed how well calibrated it was in our cohort. Linear regression with prediction intervals was used to assess the ability of FLI and LAP to predict liver fat content. Further validation was provided in 54 patients with type 2 diabetes mellitus.ResultsFLI, LAP and alanine transferase discriminated between patients with and without steatosis with an AUROC of 0.79 (IQR=0.74, 0.84), 0.78 (IQR=0.72, 0.83) and 0.83 (IQR=0.79, 0.88) respectively although could not quantitatively predict liver fat. Additionally, the algorithms accurately matched the observed percentages of patients with hepatic steatosis in our cohort.ConclusionsFLI and LAP may be used to identify patients with hepatic steatosis clinically or for research purposes but could not predict liver fat content.

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Kwang Baek Kim ◽  
Chang Won Kim

Accurate measures of liver fat content are essential for investigating hepatic steatosis. For a noninvasive inexpensive ultrasonographic analysis, it is necessary to validate the quantitative assessment of liver fat content so that fully automated reliable computer-aided software can assist medical practitioners without any operator subjectivity. In this study, we attempt to quantify the hepatorenal index difference between the liver and the kidney with respect to the multiple severity status of hepatic steatosis. In order to do this, a series of carefully designed image processing techniques, including fuzzy stretching and edge tracking, are applied to extract regions of interest. Then, an unsupervised neural learning algorithm, the self-organizing map, is designed to establish characteristic clusters from the image, and the distribution of the hepatorenal index values with respect to the different levels of the fatty liver status is experimentally verified to estimate the differences in the distribution of the hepatorenal index. Such findings will be useful in building reliable computer-aided diagnostic software if combined with a good set of other characteristic feature sets and powerful machine learning classifiers in the future.


2014 ◽  
Vol 6 (1) ◽  
pp. 16-24 ◽  
Author(s):  
S. C. McLeay ◽  
G. A. Morrish ◽  
T. K. Ponnuswamy ◽  
B. Devanand ◽  
M. Ramanathan ◽  
...  

The aim of this study was to assess and compare fat content within the liver for normal (body mass index (BMI) < 25 kg/m2), overweight (25-30 kg/m2) and obese (≥ 30 kg/m2) subjects using a noninvasive, non-contrast computed tomography (CT) quantification method. Adult subjects aged 18-60 yrs scheduled to undergo CT examination of the abdominal region were recruited for this study, stratified across BMI categories. Liver volume, fat content, and lean liver volume were determined using CT methods. A total of 100 subjects were recruited, including 30 normal weight, 31 overweight, and 39 obese. Total liver volume increased with BMI, with mean values of 1138 ± 277, 1374 ± 331, and 1766 ± 389 cm3 for the normal, overweight, and obese, respectively (P < 0.001), which was due to an increase in both liver fat content and lean liver volume with BMI. Some obese subjects had no or minimal hepatic fat content. The prevalence of mild fatty liver in this study of 100 subjects was overestimated for all BMI categories using a range of qualitative diagnostic measures, with predicted prevalence of fatty liver in obese subjects ranging from 76.9% for liver-to-spleen ratio ≤ 1.1 to 89.7% for liver attenuation index (liver HU - spleen HU) ≤ 40, compared to 66.7% by quantification of fat content. Results show that total liver volume increases with BMI, however, not all obese subjects display fatty infiltration of the liver. CT quantification of liver fat content may be suitable for accurate diagnosis of hepatic steatosis in clinical practice and assessment of donor livers for transplantation.


Obesity ◽  
2009 ◽  
Vol 17 (12) ◽  
pp. 2239-2244 ◽  
Author(s):  
Mireille A. Edens ◽  
Peter M.A. van Ooijen ◽  
Wendy J. Post ◽  
Mark J.F. Haagmans ◽  
Wisnumurti Kristanto ◽  
...  

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207923 ◽  
Author(s):  
Emanuella De Lucia Rolfe ◽  
Soren Brage ◽  
Alison Sleigh ◽  
Francis Finucane ◽  
Simon J. Griffin ◽  
...  

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