ORIGINALARTICLE  
QUANTIFICATION OF LIVER FAT AND FIBROSIS WITH ULTRASOUND: THE EXPANDING  
ROLE OF ELASTOGRAPHY  
Zubair Janan Orakzai1, Laila Khan2, Hina Baig2, Muhammad Sadiq3  
How to cite this article  
ABSTRACT  
OBJECTIVES  
To assess ultrasound-detected fatty liver grade and elastography-based  
brosis stage among adults undergoing liver ultrasound evaluation and to  
determine their association with selected clinical and metabolic risk factors.  
METHODOLOGY  
Janan Z, Khan L, Baig H, Sadiq M.  
Quantication of Liver Fat and  
Fibrosis With Ultrasound: The  
Expanding Role of Elastography. J  
Gandhara Med Dent Sci. 2026;13(3):  
This descriptive cross-sectional observational study was conducted at the  
Department of Radiology, MTI Bacha Khan Medical College and Mardan  
Medical Complex, Mardan, from February 2026 to April 2026. A total of 83  
adults undergoing liver ultrasound evaluation were recruited through non-  
probability consecutive sampling. Demographic, clinical, laboratory,  
ultrasound, and elastography ndings were recorded. Signicant brosis was  
dened as brosis stage ≥F2. Data were analyzed using SPSS version 25. The  
chi-square test and Cramér’s V were used to assess unadjusted associations,  
while binary logistic regression was used to identify independent factors  
associated with signicant brosis.  
98-102.  
Date Submission:  
Date Revised:  
13-04-2026  
20-05-2026  
Date Acceptance: 20-05-2026  
1Associate Professor, Department of  
Radiology, Bacha khan Medical  
Complex, Medical Teaching Institute  
of Mardan  
3Tranning Medical Ocer, Department  
of Radiology, Bacha khan Medical  
Complex, Medical Teaching Institute  
of Mardan  
RESULTS  
The mean age of participants was 42.1 ± 13.8 years, and 45 (54.2%) were male.  
Overweight and obesity were observed in 38 (45.8%) and 22 (26.5%)  
participants, respectively. Grade II fatty liver was the most common ultrasound  
nding, observed in 39 (47.0%) participants. Signicant brosis ≥F2 was  
present in 51 (61.4%) participants. On unadjusted analysis, BMI category,  
ALT category, and fatty liver grade were signicantly associated with  
signicant brosis. On multivariate logistic regression, elevated ALT was  
associated with higher odds of signicant brosis (AOR = 5.85, 95% CI: 1.12 -  
30.30, p = 0.036). Fatty liver grade was also independently associated with  
signicant brosis (AOR = 15.87, 95% CI: 3.47 -72.64, p < 0.001). BMI,  
diabetes mellitus, age group, and gender were not signicant after adjustment.  
CONCLUSION  
Correspondence  
2Laila Khan, Assistant Professor,  
Department of Radiology, Bacha khan  
Medical Complex, Medical Teaching  
Institute of Mardan  
:
:
+92-333-7395178  
Signicant brosis was common in this hospital-based sample. Elevated ALT  
and higher fatty liver grade were independently associated with signicant  
brosis ≥F2. Ultrasound-detected fatty liver grade and elastography-based  
brosis staging may support non-invasive risk stratication in patients  
undergoing liver evaluation.  
KEYWORDS: Elastography, Liver Fibrosis, Ultrasound, Alt, Metabolic Risk  
Factors  
INTRODUCTION  
biopsy has traditionally been considered the reference  
standard for brosis assessment; however, it is invasive,  
Non-alcoholic fatty liver disease (NAFLD) is one of the costly, and associated with potential complications.  
most common chronic liver diseases worldwide and is These limitations have increased interest in non-invasive  
closely associated with obesity, diabetes mellitus, imaging methods that can assist in the assessment of  
dyslipidemia, and metabolic syndrome.1 It represents a liver fat and brosis in routine clinical practice.5,6  
spectrum of liver involvement ranging from simple Ultrasound is commonly used as a rst-line imaging  
steatosis to non-alcoholic steatohepatitis, brosis, and modality because it is widely available, aordable, safe,  
cirrhosis. The rising burden of NAFLD is an important and acceptable to patients. It is useful for detecting  
public health concern, particularly in low- and middle- hepatic steatosis, particularly moderate-to-severe fatty  
income countries where lifestyle changes, increasing liver, but its ability to quantify early steatosis and assess  
brosis is limited.7 Elastography has therefore gained  
importance as a non-invasive method for measuring liver  
stiness, providing additional information on brosis  
stage.8 Previous studies have shown that elastography  
obesity, and metabolic disorders are becoming more  
common.2,3 Accurate assessment of hepatic steatosis and  
brosis is important for identifying patients who may  
require closer clinical evaluation and follow-up.4 Liver  
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Quantification of Liver Fat and Fibrosis with Ultrasound  
can support non-invasive assessment of clinically the sample size was calculated for estimation purposes,  
signicant brosis and cirrhosis, particularly when the multivariable association analysis was considered  
interpreted in conjunction with clinical and laboratory exploratory. All adult patients aged 18 years and above  
ndings.9 It is repeatable and may be useful for follow- undergoing abdominal ultrasound for suspected fatty  
up assessment in selected patients. However, the liver disease or liver-related clinical evaluation were  
combination  
of  
conventional  
ultrasound  
and included in the study. Patients with known chronic liver  
elastography is already well established; therefore, the disease already under treatment, liver malignancy, prior  
present study does not claim novelty in the technique hepatic  
itself. Instead, its relevance lies in evaluating the interfering  
surgery,  
with  
pregnancy,  
elastography  
signicant  
ascites  
or  
measurement,  
association between ultrasound-detected fatty liver incomplete clinical or imaging data were excluded. A  
grade, elastography-based brosis stage, and metabolic structured proforma was used to collect demographic,  
factors in a local tertiary-care radiology setting. Despite clinical, laboratory, ultrasound, and elastography data.  
increasing international evidence, local data from Laboratory parameters were retrieved from hospital  
Pakistani hospital-based radiology practice remain records and included alanine aminotransferase, aspartate  
limited regarding how sonographic fatty liver grade and aminotransferase, AST/ALT ratio, serum bilirubin, and  
elastography-based brosis stage are associated with platelet count. ALT was categorized as normal or  
metabolic and biochemical risk factors. This local elevated using 40 U/L as the cut-o value. BMI was  
evidence is important because patient proles, obesity recorded as a continuous variable and categorized as  
patterns, diabetes burden, referral practices, and access normal, overweight, or obese according to standard BMI  
to advanced hepatology services may dier across categories. Each participant underwent conventional  
settings. Therefore, this study was conducted to assess abdominal ultrasound followed by elastography using a  
ultrasound-detected fatty liver grade and elastography- standardized imaging protocol. Ultrasound was  
performed to assess liver size, echotexture, and fatty  
liver grade. Fatty liver was categorized as Grade 0,  
Grade I, Grade II, and Grade III based on liver  
echogenicity, visualization of intrahepatic vessels, and  
posterior beam attenuation. Grade 0 represented normal  
liver echogenicity, Grade I represented mild steatosis,  
Grade II represented moderate steatosis, and Grade III  
based brosis stage among adults undergoing liver  
ultrasound evaluation and to determine whether fatty  
liver grade and selected metabolic risk factors are  
associated with signicant brosis, dened as brosis  
stage ≥F2.  
METHODOLOGY  
represented  
severe  
steatosis.  
Elastography  
was  
This was a descriptive cross-sectional observational performed using transient elastography/FibroScan-based  
study designed to assess ultrasound-detected fatty liver  
grade and elastography-based brosis stage among  
adults undergoing liver ultrasound evaluation. The study  
also aimed to determine the association of fatty liver  
liver stiness measurement on a FibroScan elastography  
system using the standard adult M probe. The XL probe  
was used, as required, for overweight or obese  
participants  
to  
obtain  
reliable  
measurements.  
grade and selected metabolic risk factors with signicant Participants were examined in the supine position with  
brosis, dened as brosis stage ≥F2. The study was the right arm elevated to improve access to the right  
conducted at the Department of Radiology, MTI Bacha  
Khan Medical College and Mardan Medical Complex,  
Mardan, over 2 months from February 2026 to April  
intercostal spaces. Liver stiness measurements were  
obtained from the right hepatic lobe through an  
intercostal approach, avoiding large vessels, focal  
2026. Ethical approval was obtained from the lesions, ribs, and biliary structures. Liver stiness was  
Institutional Ethical Review Board of Bacha Khan recorded in kilopascals (kPa). For each participant, at  
Medical College, Mardan, vide reference number No. least 10 valid liver stiness measurements were  
980/BKMC dated 09/02/2026. Written informed consent  
was obtained from all participants prior to inclusion, and  
condentiality of patient information was ensured  
throughout the study. The study was reported in  
accordance with relevant STROBE recommendations  
obtained, and the median value was used for analysis.  
Measurements were considered reliable when the  
interquartile range-to-median ratio was ≤30%. Fibrosis  
staging was categorized as F0, F1, F2, F3, and F4  
according to liver stiness values. For this study, brosis  
staging was dened as follows: F0–F1 ≤ 7.4 kPa; F2 =  
7.5–10.0 kPa; F3 = 10.1–14.0 kPa; and F4 > 14.0 kPa.  
Signicant brosis was dened as brosis stage ≥F2. All  
imaging procedures were performed or supervised by  
trained radiologists using standardized criteria. Where  
more than one operator was involved, radiologists with  
comparable experience performed scans, and doubtful  
cases were reviewed by a senior radiologist to maintain  
for cross-sectional observational studies.  
A
non-  
probability consecutive sampling technique was  
employed to recruit participants presenting for liver  
ultrasound evaluation. The sample size was calculated  
using the WHO formula, with a 95% condence level, P  
assumed to be 50% due to variability in reported  
prevalence across previous studies, and a 10% margin of  
error (d), yielding a sample size of 83 participants.10 As  
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Quantification of Liver Fat and Fibrosis with Ultrasound  
Table 4: Association of Selected Variables with Signicant  
consistency. Interobserver reliability was not formally  
calculated, and this was acknowledged as a study  
limitation. Data were entered and analyzed using SPSS  
version 25. A p-value ≤0.05 was considered statistically  
signicant.  
Fibrosis ≥F2 (n = 83)  
Variable  
Category  
Fibrosis  
Cramér  
's V  
p
-value  
≥F2 n <F2 n  
(%)  
(%)  
(30.4  
(69.6  
BMI  
Category  
Normal  
7
16  
0.49  
<0.001  
%)  
%)  
RESULTS  
Overweig 23(60.5 15 (39.5  
ht  
Obese  
%)  
%)  
Table 1: Demographic and Clinical Characteristics of  
Participants (n = 83)  
21(95.5 1(4.5%)  
%)  
Variable  
Category  
18-30 years  
31-50 years  
>50 years  
Male  
Frequency (%age)  
23 (27.7%)  
36 (43.4%)  
24 (28.9%)  
45 (54.2%)  
38 (45.8%)  
23 (27.7%)  
38 (45.8%)  
22 (26.5%)  
33 (39.8%)  
50 (60.2%)  
38 (45.8%)  
45 (54.2%)  
22 (26.5%)  
61 (73.5%)  
5 (6.0%)  
Diabetes  
Mellitus  
Yes  
23 (69.7 10 (30.3 0.14  
%) %)  
28 (56.0 22 (44.0  
%) %)  
8 (28.6 20(71.4 0.48  
%)  
43(78.2 12(21.8  
%) %)  
0.210  
Age Group  
No  
Gender  
ALT  
Category  
≤40 U/L  
<0.001  
<0.001  
(Normal) %)  
Female  
Normal  
Overweight  
Obese  
Yes  
BMI Category  
>40 U/L  
(Elevated)  
Grade 0  
Fatty  
Liver  
Grade  
0
(0.0%) 12(100.0 0.72  
Diabetes  
Mellitus  
Hypertension  
%)  
No  
Grade I  
4 (25.0 12 (75.0  
%) %)  
31(79.5 8 (20.5  
%) %)  
16(100. 0 (0.0%)  
0%)  
Yes  
No  
Grade II  
Grade III  
Dyslipidemia  
Hepatitis B  
Hepatitis C  
Symptoms  
Yes  
No  
Yes  
No  
78 (94.0%)  
11 (13.3%)  
72 (86.7%)  
37 (44.6%)  
26 (31.3%)  
20 (24.1%)  
Yes  
Table 5: Multivariate Logistic Regression Analysis for  
Independent Factors Associated with Signicant Fibrosis ≥F2  
No  
Asymptomatic  
Fatigue  
RUQ Pain  
Variable  
Adjusted OR 95% CI  
1.12–30.30 0.036  
3.47–72.64 <0.001  
0.84–1.32 0.681  
p-value  
Elevated ALT >40 U/L 5.85  
Fatty liver grade  
BMI  
Diabetes mellitus  
Male gender  
Age group  
15.87  
1.05  
2.40  
1.09  
-
0.47–12.20 0.295  
0.25–4.65  
-
Table 2: Components of Continuum of Maternal Care Across  
Included Studies  
0.909  
0.979  
Parameter  
Mean ± SD (Min–Max)  
48.9 ± 14.8 (18.9–83.4)  
41.6 ± 11.1 (18.3–64.3)  
0.92 ± 0.36 (0.39–2.36)  
1.32 ± 0.39 (0.60–2.25)  
196.6 ± 46.6 (80–297)  
Note: Signicant brosis was dened as brosis stage ≥F2. The  
model was adjusted for age group, BMI, ALTcategory, gender,  
diabetes mellitus, and fatty liver grade. Fatty liver grade was entered  
as an ordinal variable.  
ALT (U/L)  
AST (U/L)  
AST/ALT Ratio  
Serum Bilirubin (mg/dL)  
Platelet Count (×10⁹/L)  
DISCUSSION  
Table 3: Determinants and Barriers Aecting Continuum of  
Maternal Care  
This study evaluated fatty liver grade and brosis stage  
using ultrasound and elastography in adults undergoing  
liver ultrasound, correlating these with metabolic and  
biochemical factors. The predominantly middle-aged,  
overweight/obese cohort reects the established  
Variable  
Category  
Normal  
Frequency(%)  
19 (22.9%)  
64 (77.1%)  
23 (27.7%)  
60 (72.3%)  
12 (14.5%)  
Ultrasound  
Findings:  
Fatty Liver  
Grading  
Liver Size  
Enlarged  
Normal  
Coarse  
Echotexture  
connections  
between  
NAFLD,  
obesity,  
insulin  
Fatty Liver  
Grade  
Grade 0  
resistance, and metabolic risk factors. Consistent with  
the current literature, our results indicate a strong  
association between NAFLD and components of  
metabolic syndrome, particularly elevated body weight  
and impaired glucose metabolism, which promote  
hepatic steatosis and brosis.10 The ultrasound ndings  
demonstrated that fatty liver was common in the study  
population, with Grade II steatosis being the most  
frequent category. Similar distributions have been  
reported in other hospital-based studies.11 While  
ultrasound is a common rst-line modality due to its  
availability, aordability, and safety, its ability to assess  
(Normal)  
Grade I (Mild)  
Grade II  
(Moderate)  
16 (19.3%)  
39 (47.0%)  
(Severe)  
Grade III  
16 (19.3%)  
Elastography Fibrosis  
F0 (No brosis) 14 (16.9%)  
Findings:  
Fibrosis  
Staging  
Stage  
F1 (Mild)  
18 (21.7%)  
24 (28.9%)  
22 (26.5%)  
5 (6.0%)  
F2 (Moderate)  
F3 (Severe)  
F4 (Cirrhosis)  
Liver Stiness Mean ±SD  
(kPa)  
8.74 ± 2.87  
(3.00-15.13)  
(Min–Max)  
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Quantification of Liver Fat and Fibrosis with Ultrasound  
brosis is limited. Elastography, used in conjunction brosis through its association with fatty liver severity  
and other metabolic factors. However, the modest  
sample size may also have limited the precision of  
adjusted estimates.15 Diabetes mellitus was not  
signicantly associated with brosis in this study, either  
in the unadjusted analysis or after adjustment. This  
nding diers from several studies that have reported  
diabetes as an important risk factor for advanced brosis  
in NAFLD. The dierence may be due to variation in  
sample size, diabetes duration, glycemic control,  
treatment status, or the hospital-based nature of the  
sample.16 Therefore, the non-signicant association  
observed in this study should not be interpreted as  
absence of a relationship between diabetes and brosis.  
Rather, it indicates that diabetes was not an independent  
predictor in this particular dataset after adjustment for  
other variables.17 The ndings support the use of  
combining conventional ultrasound and elastography as  
a practical, non-invasive approach for assessing fatty  
liver grade and liver stiness in routine radiology  
practice. Recent developments in shear wave  
with conventional ultrasound provides additional  
noninvasive information on liver stiness. In this study,  
elastography revealed signicant brosis (≥F2 stage) in  
a considerable proportion of participants, indicating a  
clinically relevant burden of brosis within this hospital-  
based sample.12However, because liver biopsy or an  
external reference standard was not performed, these  
ndings should be considered elastography-based  
staging rather than diagnostic conrmation. Prior  
research suggests that elastography is valuable for non-  
invasive brosis assessment, particularly in identifying  
patients with elevated liver stiness who may need  
further evaluation or follow-up.12 In the present study,  
elastography was not evaluated for diagnostic accuracy;  
therefore, claims regarding accuracy, validation, or  
superiority over biopsy are avoided.11  
A
strong  
unadjusted association was observed between fatty liver  
grade and signicant brosis, with Cramér’s V = 0.72  
and p < 0.001. After adjustment in a binary logistic  
regression  
model,  
fatty  
liver  
grade  
remained  
elastography,  
transient  
elastography,  
quantitative  
independently associated with signicant brosis. Each  
increase in fatty liver grade was associated with higher  
odds of signicant brosis (AOR = 15.87, 95% CI: 3.47–  
72.64, p < 0.001). This nding suggests that increasing  
sonographic fatty liver severity was associated with  
greater elastography-based liver stiness in this study  
population. Similar ndings have been reported in  
studies showing that higher steatosis grades are  
associated with increased liver stiness values on  
elastography.11,13 Due to the cross-sectional design, the  
observed association between steatosis and brosis  
cannot be interpreted as causation or evidence of  
sequential development from fatty liver. Elevated ALT  
levels were signicantly associated with signicant  
brosis. Unadjusted analysis showed a moderate  
association, and after multivariate adjustment, elevated  
ALT was associated with approximately 5.85 times  
greater odds of signicant brosis, consistent with ALT  
reflecting hepatocellular injury and brosis risk in fatty  
liver disease.14 However, ALT alone is insucient to  
exclude clinically relevant brosis, as normal liver  
enzymes can occur with brosis. Biochemical markers  
should therefore be interpreted alongside imaging and  
ultrasound, and articial intelligence-based ultrasound  
models have improved non-invasive liver assessment  
and may further support risk stratication in liver  
disease.18 However, the present study was not designed  
as a diagnostic accuracy or validation study. Therefore,  
the ndings should be understood as associations  
between ultrasound/elastography ndings and clinical  
variables, rather than proof of diagnostic performance.19  
CONFLICT OF INTEREST: None  
FUNDING SOURCES: None  
LIMITATIONS  
This study cannot establish a causal relationship between  
metabolic factors and brosis. Generalizability is limited  
by non-probability sampling. The absence of a reference  
standard, like liver biopsy, precludes assessing  
elastography's diagnostic accuracy. Although trained  
radiologists performed or supervised examinations using  
a standardized protocol, interobserver reliability was not  
formally assessed.  
clinical risk factors. BMI showed  
a
signicant  
association with brosis in the unadjusted analysis, but  
this association was not independent after adjustment,  
likely due to overlap with fatty liver grade, ALT levels,  
and other metabolic variables. While obesity is a  
CONCLUSION  
recognized contributor to the burden of NAFLD and In adults undergoing liver ultrasound in this hospital-  
liver stiness and has been associated with hepatic  
inflammation, oxidative stress, and brotic changes, its  
independent predictive value in this study was limited.14  
In the present study, the loss of statistical signicance  
based sample, signicant brosis (≥F2) was common.  
Elevated ALT and higher fatty liver grade were  
independently associated with signicant brosis, even  
after adjusting for age, BMI, gender, diabetes, and fatty  
after adjustment suggests that BMI may be related to liver grade. These ndings suggest ultrasound-detected  
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Quantification of Liver Fat and Fibrosis with Ultrasound  
11. Arun Kumar D, Kumar S, Rajagopal R, Ramesh R, M M. Non-  
fatty liver grade and elastography-based brosis staging  
may aid non-invasive risk stratication in suspected fatty  
liver disease. However, due to the cross-sectional design  
and lack of liver biopsy or external validation, these  
ndings indicate associations rather than causality,  
diagnostic accuracy, or eectiveness. Larger prospective  
studies using standardized elastography, reliability  
assessment, and comparison to a reference standard are  
needed.  
invasive assessment of liver brosis using shear wave  
elastography in type 2 diabetes mellitus with NAFLD. Cureus.  
2024;16(10):e72471.  
PMID: 39428177.  
12. Villani R, Lupo P, Sangineto M, Romano A, Serviddio G. Liver  
ultrasound elastography in non-alcoholic fatty liver disease: a  
state-of-the-art summary. Diagnostics (Basel). 2023;13:1236.  
13. Liguori A, Esposto G, Ainora ME, Mignini I, Borriello R, Galasso  
L, et al. Liver elastography for brosis stratication in MASLD:  
comparison of three techniques. Biomedicines. 2025;13(1):95.  
14. Eltony HAR, Kasem G, Elsharaby RM, Badawi R, Helal EM.  
Non-invasive detection of brosis in NAFLD using serum  
MFAP4 and transient elastography. Egypt Liver J. 2025;15(1):34.  
15. Jahani P, Fattahi MR, Neydavoodi M. Correlation of Fibroscan  
with liver elastography and liver enzymes in fatty liver disease. J  
Kermanshah Univ Med Sci. 2025;29(1). (DOI/PMID not indexed)  
16. Cormack JM, Lee HO, Chao YH, Kim K, Behari J. Focused shear  
wave elastography for liver brosis in MASLD. Gastro Hep Adv.  
(PMID pending)  
17. Malik N, Malik G, Rauf M, Basit A, Aftab S, Malik AK. Liver  
stiness distribution in Pakistani adults assessed by shear wave  
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18. Seneviratne N, Fang C, Sidhu PS. Ultrasound-based hepatic fat  
quantification: current status and future directions. Clin Radiol.  
PMID: 36470653.  
19. De Robertis R, Spoto F, Autelitano D, Guagenti D, Olivieri A,  
Zanutto P, et al. Ultrasound-derived fat fraction for detection of  
hepatic steatosis. Radiol Med. 2023;128(10):1174-80.  
20. Nakamura Y, Hirooka M, Koizumi Y, Yano R, Imai Y, Watanabe  
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Quantitative scoring of liver steatosis from ultrasound images via  
deep learning. World J Gastroenterol. 2022;28(22):2494-508.  
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AUTHORS CONTRIBUTION  
Diagnostics  
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2022;12(10):2287.  
Zubair Janan - Concept & Design; Data Acquisition; Data  
Analysis/Interpretation; Drafting Manuscript; Critical Revision;  
Final Approval  
8. Destrempes F, Gesnik M, Chayer B, Roy-Cardinal MH, Olivié D,  
Giard JM, et al. Quantitative ultrasound, elastography, and  
machine learning for assessment of steatosis and brosis. PLoS  
Laila Khan - Concept & Design; Data Analysis/Interpretation;  
Drafting Manuscript; Critical Revision; Supervision; Final  
Approval  
One.  
2022;17(1):e0262291.  
9. Kavvadas D, Rafailidis V, Liakos A, Sinakos E, Partovi S,  
Papamitsou T, et al. Quantitative ultrasound for hepatic steatosis:  
a systematic review. Diagnostics (Basel). 2025;15(20):2640.  
Hina Baig - Concept & Design; Data Acquisition; Data  
Analysis/Interpretation; Drafting Manuscript; Critical Revision;  
Final Approval  
Muhammad Sadiq - Concept & Design; Data Acquisition; Data  
Analysis/Interpretation; Drafting Manuscript; Final Approval  
10. Shabbir A, Abbas Z, Khatoon A, Mirza TJA. Role of alanine  
transaminase and transient elastography in categorising non-  
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