Skip to main content
Egyptian Journal of Radiology and Nuclear Medicine
Download PDF

Visceral and subcutaneous fat, muscle mass, and liver volume as noninvasive predictors of the progress of non-alcoholic fatty liver disease

Egyptian Journal of Radiology and Nuclear Medicine volume 54, Article number: 5 (2023) Cite this article

Abstract

Background

The term “non-alcoholic fatty liver disease” (NAFLD) refers to a range of disorders caused by lipid accumulation in the liver. High abdominal fat levels can cause adipocytes to become more lipolytic, releasing free fatty acids into the portal venous system. In this study, we aimed to use the analysis of visceral fat, subcutaneous fat, muscle mass, and liver volume to evaluate the severity of fatty liver in NAFLD.

Results

This study enrolled 130 patients with non-alcoholic fatty liver disease. The mean age of studied patients was 51.38 ± 11.11 years, ranging between 25 and 65 years. Of the studied patients, 60 (46.2%) patients were males and 70 (53.8%) were females. The mean body mass index was 41.23 ± 7.83 (kg/m2). Based on the radiological assessment of those patients, patients with grade III fatty liver had significantly higher total fat volume, visceral fat volume, subcutaneous fat volume, fat rate in the body, visceral fat volume rate, psoas muscle volume, and psoas muscle ratio in comparison with those with grade I and grade II fatty liver. Liver enzymes significantly correlated with total fat volume, visceral fat volume rate, psoas muscle volume, psoas muscle ratio, and liver volume.

Conclusions

The degree of fatty liver severity among patients with NAFLD was positively correlated with the amount of subcutaneous, visceral fat, and muscle mass. Also, both liver transaminases had a significant positive correlation with the amount of total and visceral fat, psoas muscle mass, and liver volume.

Background

One of the most prevalent global causes of chronic liver disease is non-alcoholic fatty liver disease (NAFLD). Cirrhosis and hepatocellular carcinoma are examples of end-stage liver disorders that can develop from severe forms of NAFLD and non-alcoholic steatohepatitis (NASH). Therefore, it is necessary to look at risk factors related to hepatic fat deposition and determine the progress of this disease [1].

NAFLD, cardiovascular disease, and diabetes are all more common in people with substantial obesity [2]. In obesity, it seems that fat distribution is more crucial than the total mass of fat [3]. When there is excess abdominal fat, a disproportionately upper body fat distribution increases the risks for metabolic consequences of obesity, including fatty liver. The majority of “metabolically obese” patients who are of average weight have some increase in fatty tissue mass and insulin resistance, which is most likely caused by a rise in visceral fat [4].

As a result, persons with relatively low body mass indexes (BMIs) might experience a huge rise in abdominal visceral fat, while those with high BMIs may have extremely low levels of this type of fat. It was proposed that liver fat deposition can be predicted clinically by visceral obesity. Additionally, computed tomography (CT) evaluation of the amount of visceral fat has been associated with the degree of fatty liver. Only a few previous studies investigated the relationship between NAFLD and fat distribution in the body [5,6,7].

This work was designed to find whether there are relationships among the severity of NAFLD, the amount of visceral and subcutaneous fat, psoas muscle volume, and liver volume, and also, to assess the relations among the increase in liver enzymes in NAFLD, the visceral and subcutaneous fat volumes, the psoas muscle volume, and liver volume.

Methods

Study setting and design

This prospective cross-sectional study was done at Assiut University Hospital in the period from September 2019 to June 2021.

Inclusion criteria

We included adult patients of both genders with fatty liver who came for any other medical problem and were incidentally diagnosed by abdominal ultrasound examination to have fatty liver disease.

Exclusion criteria

We excluded all patients with other liver diseases including hepatitis C and hepatitis B, acute viral hepatitis, and autoimmune hepatitis. Also, patients who have a history of chronic drug usage affecting the liver were excluded from this study.

Ethical consideration

The Ethics Committee of the Faculty of Medicine approved this research, which was carried out by the Declaration of Helsinki's tenets.

All participants completed signed informed permission after being told of the study's goal. The research procedure was registered on clinicaltrials.gov with NCT04240145.

Clinical and laboratory examination

All patients were subjected to thorough history taking and clinical examination with the calculation of BMI. Laboratory investigations were included; liver function tests including liver transaminases, lipogram, and hepatitis serology were investigated in all patients.

Radiological assessment

Ultrasound examination

An abdominal ultrasound examination was done using Logiq E9 for all patients by a radiologist with 22 years of experience. Fatty liver grading was done as follows: Grade 1: Diffuse increase in the liver echogenicity. Grade 2: The increased liver echogenicity veils the echogenic walls of the intrahepatic portal veins. Grade 3: The diaphragmatic outline is obscured by the increased hepatic echogenicity [8].

CT examination

All patients underwent CT scan examination using a 16 multidetector CT scanner (GE BrightSpeed 16, USA). Non-contrast CT examination of the abdomen was done starting from the top of the diaphragm to the symphysis pubis. A dynamic post-contrast CT examination was then done. Iohexol (Omnipaque 350 mg of iodine/mL; GE Health Care) was injected at a rate of 3 to 5 mL/sec in a total of 100 to 150 mL of volume. The following CT parameters were employed to obtain dynamic data: acquisition in 1 s gantry rotation time, 100 kvp, 250 mA, and 5 mm reconstructed section thickness. Using contrast agent bolus tracking, the arterial phase was typically attained 15 to 25 s after administration. Between 40 and 60 s after injection, the portal phase was recorded. After 180 s, the delayed venous phase was acquired [9].

Post-processing

Data analysis was performed using commercial software (Synapse 3D software, Fujifilm Healthcare, USA) including the assessment of the visceral and subcutaneous fat amount, liver volume, and psoas muscle mass. A radiologist with 21 years of experience in abdominal imaging analyzed the CT scan data, blinded to the clinical and ultrasonographic findings.

Measurement of the subcutaneous and visceral fat

In the pre-contrast CT scan, fat was identified as the pixels ranging from − 250 to − 50 Hounsfield units. The subcutaneous fat was described as the extraperitoneal fat between the muscles and the skin. Visceral fat was defined as the intraperitoneal portion that had the same density as subcutaneous fat (Fig. 1) [10].

Fig. 1
figure 1

Calculation of the subcutaneous fat volume (SFV) (blue) and visceral fat volume (VFV) (red). Subcutaneous fat is the extraperitoneal fat between the muscles and the skin. Visceral fat is the intraperitoneal portion that had the same density as subcutaneous fat

Full size image

Subcutaneous fat volume (SFV), abdominal volume, and visceral fat volume (VFV) were measured from the top of the diaphragm to the symphysis pubis bone level. The fat rate in the body was estimated by dividing the sum of subcutaneous and visceral fat volumes by the volume of the entire body. To calculate the visceral-to-subcutaneous (V/S) rate, VFV was divided by SFV. The visceral fat volume rate was calculated by dividing VFV by abdominal cavity volume [11].

Measurement of the liver volume

CT volumetry was done during the portal venous phases. The hepatic boundaries were traced to keep out neighboring structures, blood vessels, and liver fissures. A virtual hepatectomy plane is depicted on each slice on the axial scans, following the falciform ligament in the left lateral segmentectomy and to the right of the middle hepatic vein in the right hemihepatectomy [4, 5]. The volumes of all cuts are added together to determine the total liver volume. (Fig. 2) [12, 13].

Fig. 2
figure 2

Liver volumetry was done in the portal venous phase. The left lobe is colored green and the right lobe is colored yellow

Full size image

Psoas muscle assessment

Psoas muscle volume was automatically calculated (Fig. 3); then, the psoas muscle volume was divided by the height of the patient to estimate the psoas muscle ratio [14].

Fig. 3
figure 3

Psoas muscle volume. Both psoas muscles are shown in green color

Full size image

Generation of the report

After the whole measurement had been calculated, an automatic report was then generated documenting the name, age, sex, weight, and height of the patient. The measurements that appeared in the report were: visceral fat volume, subcutaneous fat volume, fat rate in the body, visceral fat volume rate, BMI (basal metabolic index), 3D V/S rate (visceral-to-subcutaneous fat rate), and psoas major muscle volume. The obesity index of BMI was also graded as too thin, normal, or too fat (Fig. 4). The liver volume report was generated separately.

Fig. 4
figure 4

Automatically generated report of the visceral and subcutaneous fat and psoas muscle volume

Full size image

Statistical analysis

Data were summarized by the mean and standard deviation for numerical data and by percentage/frequency for categorical data. All statistical tests were done by IBM SPSS version 20. A comparison of visceral and subcutaneous fat, liver volume, and psoas muscle mass among different grades of fatty liver was made by one-way ANOVA test. Pearson correlation determined the correlation between visceral and subcutaneous fat, liver volume, and psoas muscle mass with liver enzymes. A 95% degree of confidence was maintained. If the P value was less than 0.05, it was significant.

Results

Baseline data of the enrolled patients (n = 130)

The mean age of the studied patients was 51.38 ± 11.11 years, and 53.8% of patients were females. The mean body mass index was 41.23 ± 7.83 (kg/m2). Fifty patients (38.5%) were diabetics and forty patients (30.8%) were hypertensive. The demographic data of the enrolled patients are given in Table 1. Liver enzymes and lipid profiles among the studied patients are given in Table 2.

Table 1 Demographic data of enrolled patients (N = 130)
Full size table
Table 2 Liver enzymes and lipid profile among the studied patients (N = 130)
Full size table

Radiological grade of fatty liver among the studied patients (n = 130)

Based on the ultrasonographic assessment of the studied patients, it was found that 60 (46.2%), 42 (32.3%), and 28 (21.5%) patients had grade I, grade II, and grade III fatty liver, respectively (Table 3).

Table 3 Radiological grade of fatty liver among the studied patients (N = 130)
Full size table

Visceral and subcutaneous fat, psoas muscle mass, and liver volume among the studied patients (n = 130)

Different parameters of visceral and subcutaneous fat are summarized in Table 4. The mean total fat volume was 466.09 ± 98.46 (cm3), psoas muscle volume was 289.98 ± 104.24 (cm3), psoas muscle ratio was 1.58 ± 0.45 (cm3/cm), and liver volume was 2062.90 ± 555.95 (cm3).

Table 4 Visceral and subcutaneous fat, psoas muscle mass, and liver volume among the studied patients
Full size table

Correlation between fatty liver grade, visceral and subcutaneous fat, psoas muscle mass, and liver volume (Table 5)

Table 5 Visceral and subcutaneous fat, psoas muscle mass, and liver volume based on fatty liver’s grade
Full size table

Patients with grade III fatty liver had a significantly higher total fat volume, visceral fat volume, subcutaneous fat volume, visceral-to-subcutaneous fat rate, fat rate in the body, visceral fat volume rate, psoas muscle volume, and psoas muscle ratio than those with grade I and grade II (P = 0.03, P = 0.03, P = 0.04, P = 0.02, P = 0.03, P = 0.03, P < 0.001, P < 0.001, respectively). It was noticed that grade I and grade II had insignificant differences regarding those parameters. There is no significant difference in the liver volume among each grade of fatty liver.

Correlation between liver transaminases, visceral and subcutaneous fat, psoas muscle mass, and liver volume (Table 6)

Table 6 Visceral, subcutaneous fat, liver volume, psoas muscle mass, and liver volume based on liver enzymes
Full size table

Aspartate transaminase (AST) had a significant positive correlation with total fat volume (P = 0.02), visceral fat volume rate (P < 0.001), liver volume (P = 0.04), psoas muscle volume (P < 0.001), and psoas muscle ratio (P < 0.001).

Alanine transaminase (ALT) had also a significant positive correlation with total fat volume (P = 0.01), visceral fat volume rate (P < 0.001), psoas muscle volume (P < 0.001), psoas muscle ratio (P < 0.001), and liver volume (P < 0.001). We did not find a significant correlation between liver transaminases and the other parameters.

Discussion

Both the prevalence and the degree of NAFLD are substantially associated with obesity. It is widely recognized that abdominal obesity, particularly high visceral adipose tissue, plays a significant role in the development of metabolic disorders and NAFLD. NAFLD can proceed to steatohepatitis, liver cirrhosis, and hepatocellular failure. It is also linked to metabolic syndrome, type 2 diabetes, insulin resistance, cardiovascular disorders, and hepatoma [15,16,17].

Although the pathophysiology of NAFLD is complicated, obesity is a major risk factor for its occurrence. The adipocytes' ability to release free fatty acids into the portal venous system is activated by the high levels of abdominal fat. This may subject the liver to a significant amount of fat, resulting in NAFLD [18,19,20].

Only a few studies have examined the effect of the amount of body fat and its distribution in the development of NAFLD. We postulated that body fat distribution shown by the visceral-to-subcutaneous fat (V/S) ratio would indicate the risk for the development of NAFLD and its severity.

In the current study, we aimed to assess the relationship between the severity of fatty liver in NAFLD and the amount of visceral fat, muscle mass, and liver volume. Also, to evaluate the correlations among the increase in the liver enzymes in NAFLD, visceral and subcutaneous fat, muscle mass, and liver volume.

Based on the radiological assessment of our patients, we found that 60 (46.2%) had grade I fatty liver, 42 (32.3%) had grade II fatty liver, and 28 (21.5%) patients had grade III fatty liver. We used abdominal ultrasonography to grade fatty liver, a simple widespread noninvasive modality. It is now replacing liver biopsy in NAFLD grading because it avoids any hazards that can occur during or after liver biopsy [5].

We found that the patients with grade III fatty liver had significantly higher total fat volume, visceral fat volume, subcutaneous fat volume, visceral-to-subcutaneous fat rate, fat rate in the body, and visceral fat volume rate in comparison with those with grade I and grade II fatty liver.

Our results are based on the fat volume rather than the fat areas used in the previous studies. For more accurate results, we calculated the fat rate in the body by dividing the sum of subcutaneous and visceral fat volumes by the volume of the entire body, the V/S rate by dividing VFV by SFV, and the visceral fat volume rate by dividing VFV by abdominal cavity volume.

In line with our findings, some previous studies found that the amount of visceral fat was significantly correlated with the degree of fatty liver, the degree of liver inflammation, as well as hepatic fibrosis [5, 19,20,21,22,23,24]. Additionally, the amount of visceral and subcutaneous fat and muscle was significantly higher in patients with grade II and III compared to those with grade I fatty liver [25].

These results were confirmed histologically by Eguchi et al. who reported that the amount of visceral fat was correlated with the progress of NASH, as evaluated by the histological grade. Therefore, from the onset of fat deposition in hepatocytes to the emergence of NASH, visceral fat accumulation continually affects the histological abnormalities in NAFLD [23].

Few previous papers studied fat distribution in the body as a risk factor in the development of NASH. One of these studies reported that the visceral-to-subcutaneous fat (V/S) ratio is more important than the visceral fat area as a metabolic risk factor in the progress of NASH and liver fibrosis [26]. However, the contribution of subcutaneous fat in NAFLD is debatable because some research found no association between SFV and NAFLD [27], while others found an opposite association [28].

In our study, we found that the amount of visceral fat is more important than the amount of subcutaneous fat in the detection of the severity of NAFLD which is similar to the results of the previous research. We found the V/S rate the most significant parameter (P = 0.02) followed by VFV, VFV rate, total fat volume, fat rate in the body (P = 0.03, each), and lastly SFV (P = 0.04).

The current research also studied the correlation between the increase in liver transaminases in NAFLD and the amount of visceral and subcutaneous fat. Recent epidemiological studies have demonstrated that the rise of liver enzymes is closely linked to liver fat content, especially in patients with a very high incidence of obesity and NAFLD [29,30,31].

In this study, we found that both transaminases had a significant positive correlation with total fat volume and visceral fat volume rate. Similar to our results, some authors found a correlation between visceral fat deposition and moderate elevation of the liver transaminases [29, 32]. On the other hand, a previous study revealed no significant correlation between liver transaminase and visceral fat area [25]. However, to our knowledge, no previous work handled the correlation between liver enzymes and visceral fat volume rate in which we used the fat volume rather than the fat area.

Regarding the psoas muscle mass, we found that patients with grade III fatty liver had a significantly higher psoas muscle volume and psoas muscle ratio than those with grade I and grade II. We also found that liver transaminases significantly correlated with psoas muscle volume and psoas muscle ratio. In this study, we used psoas muscle volume which is more accurate than the psoas muscle area used in the previous studies. Our results are consistent with Chen et al. [33] and Nachit et al. [34] who found that NAFLD is strongly correlated with muscle fat rather than muscle mass. Although other studies reported that sarcopenia (decreased appendicular muscle mass) is associated with NAFLD [35, 36], they did not use muscle mass in grading NAFLD.

Regarding the liver volume, we found a strong positive correction between it and the liver transaminases but the difference in the liver volume among the different grades of NAFLD was insignificant. Only recent research studied the liver volume obtained by magnetic resonance imaging in NAFLD and reported that there is a strong correlation between liver volume, transaminases, and high risk of mortality [37].

The main limitations of this study are the lack of histopathological correlation, a single-center study, and lastly no long-term follow-up of those patients. Yet this is the first study in our locality that discussed the relation between NAFLD and visceral and subcutaneous fat and its correlations with liver transaminases.

Conclusions

The amount of subcutaneous and visceral fat deposition, as well as appendicular muscle mass in patients with non-alcoholic fatty liver disease, was increasing with advances in the disease grades. Also, liver enzymes had a significant positive correlation with the amount of total and visceral fat, psoas muscle mass, and liver volume. Multicenter future studies are warranted to confirm these findings.

Availability of data and materials

Data are available upon request with the corresponding author.

Abbreviations

NAFLD:

Non-alcoholic fatty liver disease

NASH:

Non-alcoholic steatohepatitis

CT:

Computed tomography

SFV:

Subcutaneous fat volume

VFV:

Visceral fat volume

V/S:

Visceral-to-subcutaneous fat

AST:

Aspartate transaminase

ALT:

Alanine transaminase

References

  1. Ong JP, Pitts A, Younossi ZM (2008) Increased overall mortality and liver-related mortality in non-alcoholic fatty liver disease. J Hepatol 49:608–612

    Article  Google Scholar 

  2. Wolf AM, Busch B, Kuhlmann HW, Beisiegel U (2005) Histological changes in the liver of morbidly obese patients: correlation with metabolic parameters. Obes Surg 15:228–237

    Article  Google Scholar 

  3. Kissebah AH, Krakower GR (1994) Regional adiposity and morbidity. Physiol Rev 74:761–811

    Article  CAS  Google Scholar 

  4. Kershaw EE, Flier JS (2004) Adipose tissue is an endocrine organ. J Clin Endocrinol Metab 89:2548–2556

    Article  CAS  Google Scholar 

  5. Park BJ, Kim YJ, Kim DH et al (2008) Visceral adipose tissue area is an independent risk factor for hepatic steatosis. J Gastroenterol Hepatol 23:900–907

    Article  CAS  Google Scholar 

  6. Couillard C, Bergeron N, Prud’homme D et al (1998) Postprandial triglyceride response in visceral obesity in men. Diabetes 47:953–960

    Article  CAS  Google Scholar 

  7. Eguchi Y, Eguchi T, Mizuta T et al (2006) Visceral fat accumulation and insulin resistance are important factors in nonalcoholic fatty liver disease. J Gastroenterol 41:462–469

    Article  CAS  Google Scholar 

  8. Singh D, Das CJ, Baruah MP (2013) Imaging of non alcoholic fatty liver disease: A road less travelled. Indian J Endocrinol Metab 17(6):990

    Article  Google Scholar 

  9. Mayer P, Grözinger M, Mokry T et al (2019) Semi-automated computed tomography volumetry can predict hemihepatectomy specimens’ volumes in patients with hepatic malignancy. BMC Med Imaging 19:1–11

    Article  CAS  Google Scholar 

  10. Jongjirasiri S, Noinark C, Kamtasila S et al (2019) Comparison of visceral fat volume and visceral fat area at umbilical level assessed by multislice computed tomography. J Med Assoc Thai 102:1242–1247

    Google Scholar 

  11. Kashiwagi E, Imada K, Abe T et al (2020) Thickness of perirenal fat predicts the growth pattern of renal cell carcinoma. Kidney Cancer 4:41–48

    Article  CAS  Google Scholar 

  12. Vohra S, Goyal N, Gupta S (2014) Preoperative CT evaluation of potential donors in living donor liver transplantation. Indian J Radiol Imaging 24:350–359

    Article  Google Scholar 

  13. Alonso-Torres A, Fernández-Cuadrado J, Pinilla I et al (2005) Multidetector CT in the evaluation of potential living donors for liver transplantation. Radiographics 25:1017–1030

    Article  Google Scholar 

  14. Kashiwagi E, Shiota M, Masaoka H et al (2020) Relationship between body composition and hormone sensitivity for androgen deprivation therapy in patients with metastatic prostate cancer. Prostate Int 8(1):22–26

    Article  Google Scholar 

  15. Wang H, Wang L, Cheng Y et al (2018) Efficacy of orlistat in non-alcoholic fatty liver disease: a systematic review and meta-analysis. Biomed Rep 9:90–96

    CAS  Google Scholar 

  16. Sookoian S, Pirola CJ (2018) Systematic review with meta-analysis: the significance of histological disease severity in lean patients with nonalcoholic fatty liver disease. Aliment Pharmacol Ther 47:16–25

    Article  CAS  Google Scholar 

  17. Janghorbani M, Salamat MR, Aminorroaya A et al (2017) Utility of the visceral adiposity index and hypertriglyceridemic waist phenotype for predicting incident hypertension. Endocrinol Metab 32:221–229

    Article  CAS  Google Scholar 

  18. Leamy AK, Egnatchik RA, Young JD (2013) Molecular mechanisms and the role of saturated fatty acids in the progression of non-alcoholic fatty liver disease. Prog Lipid Res 52:165–174

    Article  CAS  Google Scholar 

  19. Nobarani S, Alaei-Shahmiri F, Aghili R et al (2022) Visceral adipose tissue and non-alcoholic fatty liver disease in patients with type 2 diabetes. Dig Dis Sci 67:1389–1398

    Article  Google Scholar 

  20. Verrijken A, Francque S, Van Gaal L (2011) The role of visceral adipose tissue in the pathogenesis of non-alcoholic fatty liver disease. Eur Endocrinol 7:96–103

    Article  Google Scholar 

  21. van der Poorten D, Milner KL, Hui J et al (2008) Visceral fat: a key mediator of steatohepatitis in metabolic liver disease. Hepatology 48:449–457

    Article  Google Scholar 

  22. Albracht-Schulte K, Rosairo S, Ramalingam L et al (2019) Obesity, adipocyte hypertrophy, fasting glucose, and resistin are potential contributors to nonalcoholic fatty liver disease in South Asian women. Diabetes Metab Syndr Obes Targets Ther 12:863–872

    Article  CAS  Google Scholar 

  23. Eguchi Y, Mizuta T, Sumida Y et al (2011) The pathological role of visceral fat accumulation in steatosis, inflammation, and progression of nonalcoholic fatty liver disease. J Gastroenterol 46:70–78

    Article  CAS  Google Scholar 

  24. Lee HW, Kim KJ, Jung KS et al (2017) The relationship between visceral obesity and hepatic steatosis was measured by controlled attenuation parameter. PLoS ONE 12:e0187066

    Article  Google Scholar 

  25. Zhang W, Huang R, Wang Y et al (2019) Fat accumulation, liver fibrosis, and metabolic abnormalities in Chinese patients with moderate/severe versus mild hepatic steatosis. Hepatol Commun 3:1585–1597

    Article  CAS  Google Scholar 

  26. Oh YH, Moon JH, Kim HJ et al (2017) Visceral-to-subcutaneous fat ratio as a predictor of the multiple metabolic risk factors for subjects with normal waist circumference in Korea. Diabetes Metab Syndr Obes Targets Ther 10:505

    Article  Google Scholar 

  27. Gentile C, Weir T, Cox-York K et al (2015) The role of visceral and subcutaneous adipose tissue fatty acid composition in liver pathophysiology associated with NAFLD. Adipocyte 4:101–112

    Article  CAS  Google Scholar 

  28. Jung CH, Rhee EJ, Kwon H et al (2020) Visceral-to-subcutaneous abdominal fat ratio is associated with nonalcoholic fatty liver disease and liver fibrosis. Endocrinol Metab 35:165–176

    Article  CAS  Google Scholar 

  29. Westerbacka J, Corner A, Tiikkainen M et al (2004) Women and men have similar amounts of liver and intra-abdominal fat, despite more subcutaneous fat in women: implications for sex differences in markers of cardiovascular risk. Diabetologia 47:1360–1369

    Article  CAS  Google Scholar 

  30. Clark JM, Diehl AM (2003) Defining nonalcoholic fatty liver disease: implications for epidemiologic studies. Gastroenterology 124:248–250

    Article  Google Scholar 

  31. Chang Y, Cho YK, Cho J et al (2019) Alcoholic and nonalcoholic fatty liver disease and liver-related mortality: a cohort study. Off J Am Coll Gastroenterol ACG 114:620–629

    Article  Google Scholar 

  32. Mofrad P, Contos MJ, Haque M et al (2003) Clinical and histologic spectrum of nonalcoholic fatty liver disease associated with normal ALT values. Hepatology 37:1286–1292

    Article  Google Scholar 

  33. Chen VL, Wright AP, Halligan B et al (2019) Body composition and genetic lipodystrophy risk score associated with nonalcoholic fatty liver disease and liver fibrosis. Hepatol Commun 3(8):1073–1084

    Article  CAS  Google Scholar 

  34. Nachit M, Kwanten WJ, Thissen JP et al (2021) Muscle fat content is strongly associated with NASH: a longitudinal study in patients with morbid obesity. J Hepatol 75:292–301

    Article  CAS  Google Scholar 

  35. Li AA, Kim D, Ahmed A (2020) Association of sarcopenia and NAFLD: an overview. Clin Liver Dis 16(2):73

    Article  Google Scholar 

  36. Wijarnpreecha K, Panjawatanan P, Thongprayoon C et al (2018) Sarcopenia and risk of nonalcoholic fatty liver disease: a meta-analysis. Saudi J Gastroenterol Off J Saudi Gastroenterol Assoc 24(1):12

    Article  Google Scholar 

  37. Naeem M, Markus MR, Mousa M et al (2022) Associations of liver volume and other markers of hepatic steatosis with all-cause mortality in the general population. Liver Int 42(3):575–584

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

No funding was received for this study.

Author information

Authors and Affiliations

  1. Diagnostic Radiology Department, South Egypt Cancer Institute, Assiut University, Assiut, 71515, Egypt

    Omar M. Mahmoud & Haisam Atta

  2. Internal Medicine Department, Faculty of Medicine, Assiut University, Assiut, Egypt

    Gehad Abd Elaziz Mahmoud, Wael A. Abbas, Hanan M. Ahmed & Mohamed A. A. Abozaid

Authors
  1. Omar M. Mahmoud
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gehad Abd Elaziz Mahmoud
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Haisam Atta
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wael A. Abbas
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hanan M. Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Mohamed A. A. Abozaid
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

OM, GM, WA, and HA designed the research. OM, GM, and HA performed the research and wrote the manuscript. OM, GM, MA, and HMA analyzed the collected data. MA and HMA revised the data and manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Omar M. Mahmoud.

Ethics declarations

Ethics approval and consent to participate

The study was conducted after approval of the Ethical Committee of the Faculty of Medicine (approval number 17100712) and after clinical trial approval (NCT04240145). Informed written consent was obtained from each participant.

Consent for publication

All patients included in this study gave written informed consent to publish the data contained in this study.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mahmoud, O.M., Mahmoud, G.A.E., Atta, H. et al. Visceral and subcutaneous fat, muscle mass, and liver volume as noninvasive predictors of the progress of non-alcoholic fatty liver disease. Egypt J Radiol Nucl Med 54, 5 (2023). https://doi.org/10.1186/s43055-022-00949-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s43055-022-00949-z

Keywords