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. 2015 Feb 26;9(3):405–410. doi: 10.5009/gnl14202

Usefulness of the Controlled Attenuation Parameter for Detecting Liver Steatosis in Health Checkup Examinees

Ja Kyung Kim *,, Kwan Sik Lee *,, Jung Ran Choi *, Hyun Jung Chung *, Da Hyun Jung *, Kyung Ah Lee *,, Jung Il Lee *,†,
PMCID: PMC4413975  PMID: 25717046

Abstract

Background/Aims

The controlled attenuation parameter (CAP) implemented in FibroScan® is reported to be a non-invasive means of detecting steatosis (>10% steatosis). We aimed to evaluate the usefulness of CAP in detecting steatosis among health checkup examinees and to assess its correlation with ultrasonography (US).

Methods

Consecutive CAP results were retrospectively collected. A total of 280 subjects were included.

Results

Fatty liver was detected in 119 subjects (42.5%) by US, whereas it was detected in 160 subjects (57.1%) by the CAP. The numbers of subjects with S0:S1:S2:S3 steatosis according to the CAP value were 120:59:58:43, respectively. The mean CAP values were 203.34±28.39 dB/m for S0, 248.83±6.14 dB/m for S1, 274.33±8.53 dB/m for S2, and 322.35±22.20 dB/m for S3. CAP values were correlated with body weight (r=0.404, p<0.001), body mass index (r=0.445, p<0.001), and the fatty liver grade by US (r=0.472, p<0.001). Among the 161 subjects with normal US findings, steatosis was detected in 65 subjects (40.4%) using the CAP.

Conclusions

The CAP seems to be useful for detecting very low-grade hepatic steatosis in health checkup examinees. Its role in predicting subjects with a risk of metabolic derangement needs to be evaluated.

Keywords: Fatty liver, Controlled attenuation parameter, Ultrasonography, Early diagnosis, Metabolic syndrome

INTRODUCTION

Nonalcoholic fatty liver disease (NAFLD) is a component of the metabolic syndrome which consists of insulin resistance, visceral obesity, dyslipidemia, hypertension and diabetes mellitus.1 It is the most prevalent chronic liver disease worldwide, ranging from simple steatosis to steatohepatitis, where the presence and the severity of inflammation and fibrosis are important prognostic factors pertaining liver associated mortality.24 On the other hands, hepatic steatosis may suggest subclinical metabolic risk factors such as cardiovascular changes5 and may accelerate the progression of the co-existing liver diseases.6

Hepatic steatosis is accumulation of triglycerides and other fats within the hepatocytes reflecting impairment of normal processes of synthesis and elimination of fat. The diagnosis of hepatic steatosis can be made when fat in the liver exceeds 5% by weight.7 The current gold standard for evaluating steatsosis is liver biopsy, although its invasiveness limits its value as a screening tool especially in general population.8,9 Instead, the most practically used noninvasive means of detecting steatosis has been ultrasonography (US), although it can only detect steatosis of greater than 30%.10 Recently, controlled attenuation parameter (CAP) being implemented on FibroScan® (Echosens, Paris, France) has been introduced in order to evaluate both steatosis and fibrosis simultaneously.11 It is a noninvasive means of quantitatively evaluating steatosis, and is reported to be highly sensitive in detecting low grade steatosis as fat deposition >10% can be identified.12 In addition, CAP values may not be influenced by liver fibrosis and can be operated by a person without any US imaging skills without significant interoperator variability.13 Several recent studies reported that CAP is significantly correlated with the quantity of steatosis in patients with chronic liver diseases.12,14,15 However, not many studies investigated its role as a screening tool in general population. Although there may be debates as for the need of steatosis screening, a proportion of the population might benefit from the screening by identifying risk factors associated with metabolic derangements such as diabetes mellitus and cardiovascular abnormalities. The aim of this study is to evaluate the usefulness of CAP in detecting steatosis among health checkup examinees and to assess its correlation with US.

MATERIALS AND METHODS

1. Subjects

From January 2013, 280 subjects who had CAP measured during health checkup program at Gangnam Severance Hospital, Seoul, Korea, were consecutively enrolled for this study. Other data including demographics, blood test results, liver stiffness measurement (LSM) and findings of abdominal US from database of Health Checkup Center were collected retrospectively. All subjects were examined between 8 and 11 AM after a 12-hour overnight fast. The study protocol was reviewed by Institutional Review Board of Gangnam Severance Hospital (number: 3-2014-0141). Conforming to the ethical guidelines of the 1975 Declaration of Helsinki, this study was approved by an ethics committee and granted an exemption.

2. Blood samples

Serological parameters included fasting glucose, aspartate aminotransferase (AST), alanine aminotransferase (ALT), γ-glutamyltranspeptidase, total bilirubin, platelet count, pro-thrombin time, total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol and triglycerides. Blood test was performed on the same day of CAP measurement.

3. Body composition

Anthropometry and body composition were measured with an X-scan plus II (Jawon Medical Co., Ltd., Kyungsan, Korea). Anthropometric and body fat indices has been identified to be useful in showing body fat distribution and to have correlations with metabolic parameters.1618 Weight (kg) and height (cm) were measured to the nearest 0.1 kg and 0.1 cm, respectively. Bio-electrical impedance analysis was done for body composition via tetra-polar electrode method using eight touch electrodes. Mass of body fat, lean body mass, body mass index (BMI), percent body fat, waist to hip ratio, segmental analysis (lean body mass of arms, legs, and trunk), and basal metabolic rate were assessed.

4. Ultrasonography

Ultrasound scanning was performed by two professional radiologists using a 5-mHz transducer. Radiologists were not aware of the subjects’ clinical details or laboratory findings. The criterion for fatty change of liver was hyperechogenic liver tissue with fine, tightly packed echoes.19 With the 5-mHz transducer posterior beam penetration was an inevitable finding. The degree of fatty change was assessed by the fall in echo amplitude with depth (rate of posterior beam attenuation), increasing discrepancy of echo amplitude between liver and kidney, and loss of echoes from the walls of the portal veins. Mild fatty liver was defined by a slight increase in liver echogenicity, a slight exaggeration of liver and kidney echo discrepancy, and relative preservation of echoes from the walls of the portal vein. Moderate fatty liver was accompanied by loss of echoes from the walls of the portal veins, particularly from the peripheral branches, resulting in a featureless appearance of the liver. In addition, greater posterior beam attenuation was found and a greater discrepancy between hepatic and renal echoes. Severe fatty liver was recognized by a greater reduction in beam penetration, loss of echoes from most of the portal vein wall, including the main branches, and a large discrepancy between hepatic and renal echoes.

5. CAP measurement and liver stiffness

CAP was performed by a trained operator following the manufacturer’s instruction. CAP assessment was on a Fibroscan 501® (Echosens, Paris, France) with the tip of M probe placing on the skin between the ribs over the right lobe of the liver. The CAP and liver stiffness were measured on the right lobe of the liver through the intercostal space. Ultrasound attenuation is only calculated when the LSM was valid in order to ensure an accurate attenuation value of the liver, and an attempt was made to collect ≥10 valid LSMs. A success rate of ≥60% and the ratio of the interquartile range (IQR) of liver stiffness to the median (IQR/MLSM) ≤30% were considered reliable and used for the final analysis. As our working definition, steatosis grade was decided by cutoffs of CAP according to a previous report by Sasso et al.11; 238 dB/m for S ≥1, 260 dB/m for S ≥2, and 293 dB/m for S3.

6. Statistical analysis

Continuous variables are expressed as mean±standard deviation. Categorical variables were expressed as counts and percent. Correlations among the variables were analyzed using Spearman correlation coefficient. The Student t-test was performed to compare variables between the groups. All statistical analyses were performed using the SPSS version 13.0 (SPSS Inc., Chicago, IL, USA). All statistical tests were two-sided and were evaluated at the 0.05 level of significance.

RESULTS

1. Baseline characteristics

The baseline characteristics of the subjects and the results of measured parameters are listed in Table 1. The mean age was 51 years and 56.1% of the subjects were male. The mean values of CAP and LSM were 245.9±47.9 dB/m, and 4.6±2.8 kPa. The mean values of AST and ALT were 24.9±12.0 and 27.4±25.0 IU/L. The mean values of fasting glucose and total cholesterol were 100.9±16.0 mg/dL and 200.3±37.7 mg/dL. All the other mean values of blood chemistry were within normal ranges. Only a small number of subjects had diabetes (6.7%), hepatitis B (4.6%) or C (0.4%) infection.

Table 1.

Baseline Characteristics of Subjects (n=280)

Characteristic Value
Clinical
 Age, yr 51±11
 Male sex 157 (56.1)
 DM 18 (6.7)
 Systolic BP, mm Hg 124.29±14.67
 Diastolic BP, mm Hg 77.7±9.75
 CAP, dB/m 245.91±47.86
 Stiffness, kPa 4.59±2.84
 HBsAg positive 13 (4.6)
 Anti-HCV positive 1 (0.4)
Anthropometric
 BMI, kg/m2 23.90±3.03
 Body fat rate, % 25.73±5.46
 Visceral fat grade, 1–24 10.19±3.37
 Visceral fat area, cm2 94.81±41.02
 Visceral fat, kg 2.33±1.75
 Subcutaneous fat, kg 14.54±3.80
Biochemical
 AST, IU/L 24.91±12.02
 ALT, IU/L 27.43±24.98
 GGT, IU/L 37.80±56.71
 Fasting glucose, mg/dL 100.89±15.97
 Total cholesterol, mg/dL 200.26±37.68
 Triglyceride, mg/dL 121.15±72.69
 HDL, mg/dL 51.34±12.90
 LDL, mg/dL 121.69±31.65

Data are presented as mean±SD or number (%).

DM, diabetes mellitus; BP, blood pressure; CAP, controlled attenuation parameter; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; BMI, body mass index; AST, aspartate aminotransferase; ALT, alanine aminotransferase; GGT, γ-glutamyltranspeptidase; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

2. Prevalence of steatosis

US identified fatty liver in 119 subjects (42.5%), while CAP measurement revealed S1-3 grade steatosis in 160 subjects (57.1%). By US, 65 subjects (54.6%) had mild fatty liver, 44 subjects (37.0%) had moderate fatty liver, and 10 subjects (8.4%) had severe fatty liver. By CAP value, subjects with S1, S2, and S3 grade steatosis were 59 (36.9%), 58 (36.2%) and 43 (26.9%), respectively. The mean values of CAP in S0, S1, S2, and S3 groups were 203.3±28.4 dB/m, 248.8±6.1 dB/m, 274.3±8.5 dB/m, and 322.4±22.2 dB/m, respectively (Table 2). Distribution of CAP was plotted by the degree of fatty change in US (Fig. 1).

Table 2.

Fatty Change Noted by Ultrasonography and the Controlled Attenuation Parameter

Characteristic No. (%) Mean±SD, dB/m
Fatty change by US (n=119)
 Mild fatty liver 65 (54.6) -
 Moderate fatty liver 44 (37.0) -
 Severe fatty liver 10 (8.4) -
Fatty change by CAP (n=160), dB/m
 S1 (238 to <260) 59 (36.9) 248.83±6.14
 S2 (260 to <293) 58 (36.2) 274.33±8.53
 S3 (≥293) 43 (26.9) 322.35±22.20

US, ultrasonography; CAP, controlled attenuation parameter.

Fig. 1.

Fig. 1

Scatterplot and regression line showing a positive correlation between the grade of fatty change (0, normal; 1, mild; 2, moderate; and 3, severe) detected by ultrasonography and the controlled attenuation parameter in the checkup subjects.

3. Correlations with CAP

CAP was significantly correlated with parameters as shown in Table 3. BMI, systolic blood pressure (BP), fasting glucose, triglyceride, LDL, and grade of fatty liver by US showed significant positive correlations with CAP value. HDL level showed a negative significant correlation with CAP value.

Table 3.

Correlation between the Controlled Attenuation Parameter and Clinical Parameters

Parameter Correlation (r) p-value
US finding (fatty liver grade) 0.472 <0.001
BMI 0.445 <0.001
Visceral fat grade 0.421 <0.001
Systolic BP 0.223 <0.001
Fasting glucose 0.229 <0.001
Triglyceride 0.269 <0.001
HDL −0.155 0.012
LDL 0.182 0.003

US, ultrasonography; BMI, body mass index; BP, blood pressure; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

4. Characteristics of subjects whose steatosis was detected only by CAP value

Among 161 subjects whose liver echogenicity was normal in US, steatosis was detected in 65 subjects (65/161, 40.4%) by CAP value, and most of them (53.8%) had S1 grade CAP value. None of patients whose liver steatosis was detected by US had normal values on CAP evaluation. We compared clinical parameters between US-CAP concordant subjects (normal liver echogenicity in US and S0 grade of CAP value) and US-CAP discordant subjects (normal liver echogenicity in US but steatosis by CAP value). Subjects whose steatosis was recognized by CAP had significantly higher BMI, body fat rate, visceral fat grade, systolic BP, triglyceride, LDL, and low HDL than subjects without steatosis that was confirmed by the both tools, US and CAP measurements (Table 4). However, mean values of diastolic BP, fasting glucose, total cholesterol, AST, and ALT were not different statistically.

Table 4.

Clinical Implication of Fatty Change Not Detected by Ultrasonography but Detected by the Controlled Attenuation Parameter

Parameter Normal liver by US and CAP (n=96) Fatty liver not by US but by CAP (n=65) p-value
BMI, kg/m2 22.03±2.61 23.73±1.45 <0.001
Body fat rate, % 24.21±5.37 26.24±5.64 0.022
Visceral fat grade 7.88±3.43 10.51±2.55 <0.001
Systolic BP, mm Hg 119.5±12.79 124.42±15.85 0.032
Diastolic BP, mm Hg 74.51±8.79 76.63±9.95 0.156
Fasting glucose, mg/dL 95.99±10.85 95.85±12.22 0.641
Total cholesterol, mg/dL 192.46±35.83 200.63±37.39 0.165
AST, IU/L 23.78±13.87 21.37±5.78 0.187
ALT, IU/L 22.71±30.34 20.60±10.46 0.131
Triglyceride, mg/dL 89.17±44.15 106.48±49.66 0.022
HDL, mg/dL 55.31±12.42 50.92±10.54 0.021
LDL, mg/dL 114.95±33.17 126.02±28.63 0.030

US, ultrasonography; CAP, controlled attenuation parameter; BMI, body mass index; BP, blood pressure; AST, aspartate aminotransferase; ALT, alanine aminotransferase; HDL, high-density lipoprotein; LDL, low-density lipoprotein.

DISCUSSION

In our study, liver steatosis, evaluated by CAP was well correlated with clinical parameters that were associated with metabolic derangements. In addition, CAP measurement was useful in identifying the low grade steatosis that was not conspicuous on US, and thus might be useful in early detection of metabolic derangements in health checkup examinees.

The need for steatosis screening in general population is still under controversy. However, health checkup is often provided for persons that do not possess overt, serious health problems in order to prevent disease by recognizing subtle signs jeopardizing healthy condition, and several studies suggest hepatic steatosis as an early predictor of cardiovascular and metabolic derangements.20,21 NAFLD has been suggested as an indicator of preclinical insulin resistance even in nonobese individuals, and some investigators even recommended young NAFLD patients to undergo oral glucose tolerance test in order to predict the risk of type 2 diabetes.2123 Furthermore, NAFLD is reported to suggest subclinical cardiovascular changes such as increased arterial stiffness and carotid arterial wall thickness.5,2426 Therefore, early detection of NAFLD might contribute in predicting and preventing serious and prevalent metabolic diseases such as type 2 diabetes or cardiovascular disease. In accordance with these findings, our results also showed that the presence of hepatic steatosis by CAP correlated with variables suggestive of poor metabolic condition. Fortunately, simple hepatic steatosis without inflammation and fibrosis is a reversible condition which can be normalized after lifestyle modification including diet and/or physical activity intervention.27,28 It would be interesting to investigate whether alleviated hepatic steatosis would reduce the metabolic risks, and such studies would be able to determine the usefulness of steatosis screening.

Currently, US is recognized as the most useful and widely accepted noninvasive technique for the detection of liver steatosis. However, US has its pitfalls as its results tend to be operator dependent and its grading system is somewhat subjective.29 In addition, quantification of fatty change is limited as it is described in only four categories: normal, mild, moderate, and severe. Some investigators even report relatively low sensitivity of US in identifying existence of fatty liver.30,31 Therefore, in comparison with the histological studies, some review articles raise questions on the diagnostic ability and reliability of US in detecting fatty liver.32,33 On the other hands, CAP measures and describes hepatic steatosis in a numeric scale, which may produce more objective results. The numeric scales are often useful when the examinees want to compare their hepatic fatty values over time after serial measurements. CAP seems to be able to produce objective assessment of hepatic steatosis, along with noninvasively measured liver fibrosis, and it is operator independent as well as easily accessible. CAP may be a noninvasive and practical means of detecting hepatic steatosis in patients as well as in general population. However, until now, there is no consensus on cutoff values regarding steatosis grade. In addition, there are no validated indices that describe the reliability of CAP values. For liver stiffness, IQR/M is known to be a factor of reliability. However, in a previous report comparing histology and CAP, IQR/M of CAP was not an independent predictor of discordance between steatosis grade and CAP.34 Further study is warranted to decide optimal cutoff value for detecting early fatty changes and to identify means of assessing the reliability of the CAP study.

Our study reports the correlation coefficient of 0.472 between findings of US and those of the CAP study and it should be pointed out that the level of correlation is not so strong. Unfortunately reports on the correlation between results from US and that of CAP are lacking, and more studies on this matter are needed as indicated in a recent review article.35

This study has several limitations. First, comparison with the histologic grade was not included. To be conducted with data from health checkup, invasive confirmation with biopsy was unrealistic and even unethical. Second, cause of hepatic steatosis was not clearly depicted. As these are real life data and almost every man has social drinking, alcoholic or nonalcoholic causes could not be easily discriminated. Third, we could not show the relation between CAP and insulin resistance since serum insulin level was not included in health checkup item.

In conclusion, among health checkup examinees, CAP seems to be useful in detecting hepatic steatosis to predict metabolic derangement. Even with normal US findings, those subjects whose hepatic steatosis could be diagnosed by CAP had worse metabolic parameters compared with those that were free of fatty liver after both US and CAP studies. Histologic validation is warranted to set cutoffs of CAP for steatosis grade in subjects without other definite causes of the chronic liver diseases.

ACKNOWLEDGEMENTS

This study was supported by a grant of the Korea Healthcare Technology R&D Project, Ministry of Health and Welfare, Republic of Korea (number: HI10C2020).

Footnotes

CONFLICTS OF INTEREST

No potential conflict of interest relevant to this article was reported.

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