Liver biopsy in patients with gall stone disease and concomitant non-alcoholic fatty liver disease undergoing cholecystectomy: A prospective observational study
Aaron John1, Utpal Anand2, Tarun Kumar3, Rohith Kodali2, Kunal Parasar2, Ramesh Kumar4, Rajeev Priyadarshi5, Basant Singh2, Kislay Kant2
1Clinic of Gastrointestinal, HPB, Multi Organ Transplant Surgery, Rajagiri Hospital, Kochi, India
2Department of Surgical Gastroenterology, All India Institute of Medical Sciences, Patna, India
3Department of Pathology, All India Institute of Medical Sciences, Patna, India
4Department of Medical Gastroenterology, All India Institute of Medical Sciences, Patna, India
5Department of Radiodiagnosis, All India Institute of Medical Sciences, Patna, India
Abstract
Objective: Gallstone disease (GSD) and non-alcoholic fatty liver disease (NAFLD) share common risk factors. NAFLD can progress to non-alcoholic steatohepatitis (NASH), which may lead to severe liver conditions. This study aimed to assess the prevalence of NASH and associated factors in patients with GSD and fatty liver undergoing cholecystectomy.
Material and Methods: This prospective observational study was conducted from March 2021 to June 2023 and included 134 patients diagnosed with GSD and fatty liver based on preoperative ultrasound. Core liver biopsies were obtained during cholecystectomy. Preoperatively, clinical, anthropometric, demographic, biochemical variables, and FibroScan parameters were recorded.
Results: NASH was found in 21 (15.67%) patients, while 50 (37.31%) patients had probable NASH, and 63 (47.01%) had non-NASH scores. Metabolic syndrome was present in 63.6% of the patients. Univariate analysis revealed significant differences in AST and ALT values between the NASH and nonNASH groups. In multivariate analysis, AST was statistically significant (p= 0.041). Mean controlled attenuation parameter in patients with non-NASH was 219.40 ± 60.44 dB/m, and in patients with NASH, it was 265.48 ± 63.47 dB/m (p= 0.006). Fibrosis was present in 33 of the 82 slides examined, with 17 patients having grade 2 and two patients with grade 3 fibrosis.
Conclusion: The high prevalence of NASH among GSD patients highlights a significant public health issue, prompting consideration for liver biopsy in individuals with NAFLD and GSD undergoing laparoscopic cholecystectomy.
Keywords: Gallstone disease, NAFLD, NASH, non-alcoholic fatty liver disease, non-alcoholic steatohepatitis
Introduction
Symptomatic gallstone disease (GSD) stands as the most prevalent benign disorder of the gallbladder, with an incidence of up to 6% among Indian adults (1). Patients afflicted with GSD often exhibit a high prevalence of non-alcoholic fatty liver disease (NAFLD), characterized by significant fat deposition in hepatocytes (2). Cholesterol GSD shares several risk factors with NAFLD, notably age, obesity, diabetes mellitus, insulin resistance, hyperlipidemia, sedentary lifestyle, and metabolic syndrome (2-4). It remains uncertain whether NAFLD acts as a precursor to GSD, or if the presence of GSD signifies long-standing features of metabolic syndrome, thereby hastening the progression of NAFLD (5). NAFLD stands as the foremost cause of chronic liver disease and cryptogenic cirrhosis globally. Non-alcoholic steatohepatitis (NASH), encompassing 10%-20% of NAFLD cases, can advance to severe chronic liver disease, liver cirrhosis, and hepatocellular carcinoma (6).
As of today, non-alcoholic steatohepatitis (NASH) primarily relies on histological diagnosis due to the unreliability of non-invasive methods. Liver biopsy remains the gold standard for diagnosing and staging NAFLD. However, firm recommendations regarding when to perform a liver biopsy in NAFLD patients are lacking. In our present study, our objective was to estimate the prevalence of NASH in patients with symptomatic GSD and concomitant fatty liver diagnosed via US.
This insight could aid in determining whether liver biopsy should be routinely conducted during cholecystectomy to assess the severity of NAFLD in GSD patients with concurrent fatty liver. The diagnosis of NASH upon biopsy would offer sufficient grounds for recommending lifestyle modifications, controlling metabolic risk factors, and implementing long-term liver disease monitoring in these patients. Additionally, we aimed to identify clinical predictors of NASH within this population, potentially facilitating timely evaluation and intervention. Previous studies have primarily focused on general patient populations, whereas our study exclusively concentrated on individuals with fatty liver and GSD to ascertain both prevalence rates and predictors of NASH in such patients.
Material and Methods
This prospective observational study was conducted on consecutive adult patients aged 18-70 years diagnosed with symptomatic GSD and fatty liver via ultrasound (US) undergoing cholecystectomy at a tertiary care center in Northeastern India from March 2021 to June 2023. Ethics approval was obtained from the Institutional Ethics Committee (AIIMS/Pat/IEC/PGTh/ Jan20/09), and research approval was taken from the institutional research board (AIIMS/Pat/IRC/2020/PGTh/Jan20/09) on 01/03/2021. Patients positive for HBV and HCV, with a history of alcohol intake exceeding 20 g per day for females and 30 g per day for males, diagnosed with liver cirrhosis, autoimmune hepatitis, or other liver diseases, pregnant individuals, and those with a history of drug intake (including oral contraceptive pills, steroids, methotrexate, amiodarone, tamoxifen, highly active antiretroviral therapy, and chemotherapy agents) were excluded from the study. Written informed consent was obtained from all included patients, and the study was conducted in accordance with the declaration of Helsinki.
Demographic details, clinical history of comorbidities, and anthropometric parameters were recorded. All patients underwent blood investigations, including fasting blood sugar, glycated hemoglobin (HbA1c), liver function tests [bilirubin, albumin, alanine transaminase (ALT), aspartate transaminase (AST), alkaline phosphatase (ALP), prothrombin time international normalized ratio (INR)], thyroid stimulating hormone (TSH), lipid profile [triglycerides (TG), cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), very low-density lipoprotein (VLDL)], and serology for hepatitis B and C. Preoperatively, all patients underwent USG to document gallstones and assess the presence of fatty liver, as well as Fibroscan® (Echosens, Paris, France) for calculating controlled attenuation parameter (CAP).
Liver biopsies were performed during laparoscopic cholecystectomy using a 16 g × 20 cm, BARD Max-Core™ Core Biopsy Instrument (Arizona, USA) from the right lobe of the liver. Hematoxylin-eosin stained and Masson trichrome stained paraffin-embedded liver biopsy sections were examined and interpreted by a single experienced pathologist. Severity was assessed using the NAFLD activity score (NAS) as proposed by the clinical research network (7). A NAS score of less than three was categorized as non-NASH, 3-4 as borderline NASH, and five or more as NASH. Fibrosis was staged on a scale of zero to four according to the clinical research network (7).
The sample size was determined based on a survey by Monzon et al., which reported a 10.2% prevalence of NASH in adult patients with GSD (8). To achieve a 95% confidence level and a 5% absolute precision, the study required a sample size of 131 participants. Clinical demographic data collected were analyzed using descriptive statistics. Qualitative variables were presented as absolute [number, (n)] and relative [percentage, (%)] frequencies. Standard deviations, means, and frequencies for each group with categorical variables were calculated. Qualitative data between the groups were compared using Pearson’s Chi-square test or Fisher’s exact test as appropriate. Quantitative variables were analyzed using ANOVA for normally distributed data (confirmed by Shapiro-Wilk test) and equal variances (confirmed by Levene’s test). Ordinal logistic regression analysis was adjusted for confounding variables to identify independent predictors of NASH in the entire study population. A probability value (p-value) less than 0.05 was considered statistically significant. All statistical calculations were performed using Statistical Package for the Social Sciences, version 20, SPSS Inc., Chicago, IL, United States (SPSS) for Microsoft Windows.
Results
Among the 550 patients initially evaluated for laparoscopic cholecystectomy, 150 patients with fatty liver on US who met the inclusion and exclusion criteria were enrolled in the study. A further 16 patients with inadequate liver tissue for quantifying fatty liver on liver biopsy were excluded from the final analysis.
The demographic details of the patients are summarized in Table 1. Mean age of the patients was 43.22 ± 11.54 years (range 20 - 72 years), with ninety (67.2%) of the study participants being female. Mean body mass index (BMI) was 26.53 ± 3.99 kg/m2 . Among all patients, 49 (36.6%) were obese, and 52 (38.8%) were overweight. Additionally, twenty patients (16.3%) were diabetic, 23 (17.2%) were hypertensive, 16 (11.9%) had hypothyroidism, and four had other comorbidities, including bronchial asthma and coronary artery disease. According to the International Diabetes Federation (IDF) consensus definition, metabolic syndrome was present in 63.6% of the study population (9).
Upon analysis of liver biopsy samples from 134 patients with fatty liver on preoperative US, NASH (i.e., NAS score≥ 5) was found in 21 (15.67%) patients with GSD. Fifty (37.31%) patients had probable NASH (i.e., NAS scores of 3 and 4), while sixty-three (47.01%) patients had non-NASH scores (i.e., NAS score≤ 2) (Table 2).
Masson trichrome staining was performed on 82 samples, revealing hepatic fibrosis in 33 of them, with 17 patients having stage 2 and two patients with grade 3 fibrosis. None of the patients had underlying cirrhosis (Table 3). Among patients with NASH, 23% exhibited significant hepatic fibrosis (F2 or higher).
A higher percentage of patients with NASH had metabolic syndrome (86.7%) although it did not achieve statistical significance as a risk factor for NASH (p= 0.114). NASH patients had higher AST levels (41.19 ± 20.53 IU/L) compared to non- NASH subjects (28.95 ± 12.66 IU/L) (p= 0.028). ALT levels in non-NASH subjects were 28.36 ± 17.88 IU/L, while in NASH subjects, they were 44.71 ± 27.92 IU/L (p= 0.047). The remaining biochemical parameters, such as ALP, albumin, INR, cholesterol, HDL, VLDL, LDL, triglycerides, FBS, HbA1c, and TSH, did not achieve statistical significance. CAP increased from 219.40 ± 60.44 dB/m in non-NASH subjects to 265.48 ± 63.47 dB/m in NASH patients (p= 0.006) (Table 4).
For multivariate analysis, the following variables were considered: age, sex, comorbidities, BMI, AST, ALT, INR, HDL, triglycerides, and CAP. In this model, only AST reached statistical significance (p= 0.041) (Table 5). No morbidity or mortality were reported secondary to intra-operative liver biopsy in any patient.
Discussion
GSD and NAFLD share common risk and pathogenic factors, and several studies have reported a significant association between them. The clinical spectrum of NAFLD includes steatosis, NASH, fibrosis, and cirrhosis. Given the high prevalence of NAFLD in patients with GSD, our study aimed to determine the prevalence of NASH and identify contributing risk factors in patients with fatty liver undergoing cholecystectomy.
Our study found NASH in 21 (15.67%) out of 134 patients undergoing cholecystectomy with fatty liver detected on preoperative US. Fifty percent of the patients with NASH were obese, while 43.5% of the probable NASH group and 42.9% of the non-NASH group were obese. Univariate analysis revealed significant differences in AST, ALT, and CAP between the NASH and non-NASH groups (p= 0.028), (p= 0.008), and (p= 0.006), respectively. Multivariate analysis showed that only AST was significant (p= 0.041).
The prevalence of NAFLD varies depending on the diagnostic test and population studied. Indian data indicates a prevalence of NAFLD between 6.7%-55.1% in adults (10). The variation in prevalence results from different diagnostic methods such as US, magnetic resonance imaging, and biopsy. A meta-analysis has found the pooled odds ratio of NAFLD in patients with gallstone disease to be 1.55 (95% CI 1.31-1.82) (11). In studies on patients undergoing cholecystectomy, NAFLD has shown a prevalence of 35%-55% in persons with GSD (8,12-15). The prevalence of NASH varies from 6%-11% in patients undergoing cholecystectomy (8,14,16,17). However, these studies were conducted on a general cohort of patients undergoing cholecystectomy. Our study specifically targeted patients with a preoperative diagnosis of NAFLD on US, revealing a 15.67% prevalence of NASH in this population. This high prevalence justifies considering liver biopsy during cholecystectomy to detect NASH early and implement necessary interventions such as lifestyle modifications and treatment of metabolic comorbidities can help reduce the advanced liver disease burden in the population. We utilized a core liver biopsy instead of a wedge biopsy because fibrous septa from a subcapsular sample in a wedge biopsy may mimic cirrhosis and potentially overestimate the stage of liver disease (18). Previous studies have primarily employed wedge biopsies rather than core biopsies (13,15,16).
In patients with NAFLD, liver fibrosis plays a crucial role in overall morbidity and mortality. Our study revealed significant liver fibrosis in 23% of NASH subjects, although advanced fibrosis was rare, and none had compensated cirrhosis. These findings suggest that patients were likely identified during the relatively early phase of NAFLD progression. Typically, fibrosis progression in NAFLD is slow, with approximately seven years required for one stage of fibrosis to progress (19).
Obesity is a common risk factor for both NAFLD and GSD. Both excessive BMI and visceral obesity are recognized risk factors for NAFLD. In studies conducted on patients undergoing cholecystectomy, some have found a statistically significant difference in BMI between the NASH and non-NASH groups (14,16). In contrast, other studies have reported no significant difference in BMI among NASH and non-NASH patients (17). The presence of 50% of the patients in the non-obese group might be attributed to the lower BMI in our population compared to other parts of the country. NAFLD has been reported in lean subjects residing in developing countries, suggesting that lean NAFLD may represent a distinct entity that could contribute to NAFLD in our population.
Metabolic syndrome is prevalent in patients with symptomatic gallstones, with a significant association with NAFLD. It remains unclear whether NAFLD serves as a precursor to GSD or if the presence of GSD indicates the presence of longstanding features of metabolic syndrome, potentially accelerating the progression of NAFLD. In our study, metabolic syndrome was present in 63.6% of NAFLD patients, with 20 patients (16.3%) diagnosed with diabetes mellitus and 23 (17.2%) with hypertension. A higher percentage of patients with NASH exhibited metabolic syndrome (86.7%) although it did not achieve statistical significance as a risk factor for NASH (p= 0.114). The prevalence of metabolic syndrome in the non-NASH group was 57.1%, and in the probable-NASH group, it was 53%. The close association between metabolic syndrome and GSD has led some researchers to propose GSD as another manifestation of metabolic syndrome (19). However, its role as a risk factor for NASH in our study did not reach statistical significance. Routine assessment of metabolic syndrome components is essential to mitigate NASH progression and liver-related complications.
Identifying subsets with NASH and liver fibrosis in NAFLD patients is crucial for disease management. While several noninvasive validated non-invasive markers for liver fibrosis such as AST/platelet ratio index, fibrosis-4 index, non-alcoholic fatty liver disease fibrosis score, BMI AST/ALT ratio, and diabetes score (BARD), exist for liver fibrosis, none reliably indicate the presence of NASH (20). In studies comparing NAFLD and NASH patients with normal controls based on liver biopsies, AST and ALT were found to correlate with the presence of NASH (15,21). In our univariate analysis, AST and ALT levels were significant in both NASH and non-NASH populations, with only AST showing independent association with NASH in the multivariate analysis. High serum triglyceride levels and low serum HDL levels are commonly observed in patients with NAFLD (15,22-24). Our results were consistent with this observation although statistical significance was not achieved.
CAP is a valid method for the non-invasive detection and quantification of hepatic steatosis. Its measurement has been validated by multiple studies, and CAP scores have shown good correlation with hepatic steatosis observed on liver biopsies (25-28). In our study as well, CAP was significantly different between the NASH and non-NASH groups in the univariate analysis.
Liver biopsy during cholecystectomy was well-tolerated in our study, with no significant complications reported. This may be attributed to the fact that the liver biopsy procedure is performed under laparoscopic visualization, allowing for immediate coagulation of any bleeders using electrocautery. We can observe for any further bleeding from the biopsy site.
This study highlights the importance of screening for NASH in patients with GSD and fatty liver undergoing cholecystectomy. Liver biopsy emerges as a vital diagnostic tool to assess NASH and fibrosis presence and severity. Close monitoring of metabolic syndrome components is warranted to mitigate NASH progression and liver-related complications. Routine assessment of liver enzymes and evaluation of fibrosis status can aid in early detection and management strategies for patients with GSD and fatty liver undergoing cholecystectomy.
Our study had limitations, including being hospital-based and single-centered, posing a risk of referral bias. Additionally, as a cross-sectional study, causality cannot be determined. Our study group consisted of patients who were optimized for surgery; hence, the biochemical parameters obtained may reflect optimized rather than typical values found in the general population. Consequently, the prediction of risk factors may have been influenced. Nonetheless, our findings underscore the importance of considering liver biopsy in NAFLD patients with GSD undergoing cholecystectomy, particularly in those with elevated liver enzymes.
Cite this article as: John A, Anand U, Kumar T, Kodali R, Parasar K, Kumar R, et al. Liver biopsy in patients with gall stone disease and concomitant non-alcoholic fatty liver disease undergoing cholecystectomy: A prospective observational study. Turk J Surg 2024; 40 (3): 190-196.
This study was obtained from All India Institute of Medical Sciences Institutional Ethics Committee (Decision no: AIIMS/ Pat/IEC/PGTh/Jan20/09 Date: 01.03.2021).
Externally peer-reviewed.
Concept - UA, RK, RP; Design - UA; Supervision - UA, RK, RP; Data Collection and/or Processing - AJ, RK, KP; Analysis and/or Interpretation - AJ, BS, KK; Literature Search - AJ, BS, KK; Writing Manuscript - AJ, BS, KK; Critical Reviews - AJ, RK, KP, RK, RP, BS, KK.
The authors have no conflicts of interest to declare.
The authors declared that this study has received no financial support.
References
- Khuroo MS, Mahajan R, Zargar SA, Javid G, Sapru S. Prevalence of biliary tract disease in India: A sonographic study in adult population in Kashmir. Gut 1989; 30(2): 201-5. https://doi.org/10.1136/ gut.30.2.201
- Bedogni G, Miglioli L, Masutti F, Tiribelli C, Marchesini G, Bellentani S. Prevalence of and risk factors for nonalcoholic fatty liver disease: The Dionysos nutrition and liver study. Hepatol Baltim Md 2005; 42(1): 44- 52. https://doi.org/10.1002/hep.20734
- Roesch-Dietlen F, Pérez-Morales A, Melo-Santisteban G, Díaz-Blanco F, Martínez-Fernández S, Martínez JA, et al. Frequency and clinical, biochemical and histological characteristics of nonalcoholic fatty liver disease in patients with gallstone disease. Cir Cir 2008; 76(1): 37-42.
- Méndez-Sánchez N, Chavez-Tapia NC, Motola-Kuba D, Sanchez-Lara K, Ponciano-Rodríguez G, Baptista H, et al. Metabolic syndrome as a risk factor for gallstone disease. World J Gastroenterol WJG 2005; 11(11): 1653-7. https://doi.org/10.3748/wjg.v11.i11.1653
- Ahmed MH, Ali A. Nonalcoholic fatty liver disease and cholesterol gallstones: Which comes first? Scand J Gastroenterol 2014; 49(5): 521-7. https://doi.org/10.3109/00365521.2014.894119
- Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology 2016; 64(1): 73-84. https://doi.org/10.1002/hep.28431
- Kleiner DE, Brunt EM, Van Natta M, Behling C, Contos MJ, Cummings OW, Ferrell LD, et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatol Baltim Md 2005; 41(6): 1313-21. https://doi.org/10.1002/hep.20701
- García-Monzón C, Vargas-Castrillón J, Porrero JL, Alonso MT, Bonachía O, Castillo MJ, et al. Prevalence and risk factors for biopsy-proven non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in a prospective cohort of adult patients with gallstones. Liver Int Off J Int Assoc Study Liver 2015; 35(8): 1983-91. https://doi.org/10.1111/liv.12813
- Alberti KGMM, Zimmet P, Shaw J, IDF Epidemiology Task Force Consensus Group. The metabolic syndrome--a new worldwide definition. Lancet Lond Engl 2005; 366(9491): 1059-62. https://doi.org/10.1016/ S0140-6736(05)67402-8
- Shalimar, Elhence A, Bansal B, Gupta H, Anand A, Singh TP, et al. Prevalence of non-alcoholic fatty liver disease in India: A systematic review and meta-analysis. J Clin Exp Hepatol 2022; 12(3): 818-29. https:// doi.org/10.1016/j.jceh.2021.11.010
- Jaruvongvanich V, Sanguankeo A, Upala S. Significant association between gallstone disease and nonalcoholic fatty liver disease: A Systematic review and meta-analysis. Dig Dis Sci 2016; 61(8): 2389- 96. https://doi.org/10.1007/s10620-016-4125-2
- Yener O, Aksoy F, Demir M, Özçelik A, Erengül C. Gallstones associated with nonalcoholic steatohepatitis (NASH) and metabolic syndrome. Turk J Gastroenterol Off J Turk Soc Gastroenterol 2010; 21(4): 411-15. https://doi.org/10.4318/tjg.2010.0128
- Singh K, Dahiya D, Kaman L, Das A. Prevalence of non-alcoholic fatty liver disease and hypercholesterolemia in patients with gallstone disease undergoing laparoscopic cholecystectomy. Pol Przegl Chir 2019; 92(1): 18-22. https://doi.org/10.5604/01.3001.0013.5660
- Alsaif FA, Alqahtani SH, Alsadoon AM, Alswat KA, Abdo AA, Hassanain MM, et al. Prevalence of biopsy-proven nonalcoholic fatty liver among patients with gallstone disease. Saudi J Gastroenterol 2020; 26(4): 204-9. https://doi.org/10.4103/sjg.SJG_29_20
- Ramos-De la Medina A, Remes-Troche JM, Roesch-Dietlen FB, PérezMorales AG, Martinez S, Cid-Juarez S. Routine liver biopsy to screen for nonalcoholic fatty liver disease (NAFLD) during cholecystectomy for gallstone disease: is it justified? J Gastrointest Surg Off J Soc Surg Aliment Tract 2008; 12(12): 2097-102; discussion 2102. https://doi. org/10.1007/s11605-008-0704-7
- Hajong R, Dhal MR, Naku N, Kapa B. Incidence of nonalcoholic fatty liver disease in patients undergoing laparoscopic cholecystectomy. J Fam Med Prim Care 2018; 7(6): 1375-8. https://doi.org/10.4103/jfmpc. jfmpc_193_18
- Naik A, Dahiya D, Duseja A, Kaman L. Prevalence and severity of nonalcoholic fatty liver disease in patients with gall stone disease. Sri Lanka J Surg 2020; 38: 31. https://doi.org/10.4038/sljs.v38i2.8659
- Padoin AV, Mottin CC, Moretto M, Berleze D, Kupski C, Glock L, et al. A comparison of wedge and needle hepatic biopsy in open bariatric surgery. Obes Surg 2006; 16(2): 178-82. https://doi. org/10.1381/096089206775565159
- Grundy SM. Cholesterol gallstones: A fellow traveler with metabolic syndrome? Am J Clin Nutr 2004; 80(1): 1-2. https://doi.org/10.1093/ ajcn/80.1.1
- Younes R, Caviglia GP, Govaere O, Rosso C, Armandi A, Sanavia T, et al. Long-term outcomes and predictive ability of non-invasive scoring systems in patients with non-alcoholic fatty liver disease. J Hepatol 2021; 75(4): 786-94. https://doi.org/10.1016/j.jhep.2021.05.008
- Williams CD, Stengel J, Asike MI, Torres DM, Shaw J, Contreras M, et al. Prevalence of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis among a largely middle-aged population utilizing ultrasound and liver biopsy: A prospective study. Gastroenterology 2011; 140(1): 124-31. https://doi.org/10.1053/j.gastro.2010.09.038
- Nseir W, Shalata A, Marmor A, Assy N. Mechanisms linking nonalcoholic fatty liver disease with coronary artery disease. Dig Dis Sci 2011; 56(12): 3439-49. https://doi.org/10.1007/s10620-011-1767-y
- Targher G, Bertolini L, Padovani R, Rodella S, Tessari R, Zenari L, et al. Prevalence of nonalcoholic fatty liver disease and its association with cardiovascular disease among type 2 diabetic patients. Diabetes Care 2007; 30(5): 1212-8. https://doi.org/10.2337/dc06-2247
- Speliotes EK, Massaro JM, Hoffmann U, Vasan RS, Meigs JB, Sahani DV, et al. Fatty liver is associated with dyslipidemia and dysglycemia independent of visceral fat: The Framingham Heart Study. Hepatol Baltim Md 2010; 51(6): 1979-87. https://doi.org/10.1002/hep.23593
- Vuppalanchi R, Siddiqui MS, Van Natta ML, Hallinan E, Brandman D, Kowdley K, et al. Performance characteristics of vibration-controlled transient elastography for evaluation of nonalcoholic fatty liver disease. Hepatol Baltim Md 2018; 67(1): 134-44. https://doi.org/10.1002/ hep.29489
- Ahn JM, Paik YH, Min SY, Cho JY, Sohn W, Sinn DH, et al. Relationship between controlled attenuation parameter and hepatic steatosis as assessed by ultrasound in alcoholic or nonalcoholic fatty liver disease. Gut Liver 2016; 10(2): 295-302. https://doi.org/10.5009/gnl15155
- Chan WK, Nik Mustapha NR, Mahadeva S. Controlled attenuation parameter for the detection and quantification of hepatic steatosis in nonalcoholic fatty liver disease. J Gastroenterol Hepatol 2014; 29(7): 1470-6. https://doi.org/10.1111/jgh.12557
- de Lédinghen V, Wong GL, Vergniol J, Chan HL, Hiriart JB, Chan AW, et al. Controlled attenuation parameter for the diagnosis of steatosis in non-alcoholic fatty liver disease. J Gastroenterol Hepatol 2016; 31(4): 848-55. https://doi.org/10.1111/jgh.13219