Skip to main content
Top
Published in: Indian Journal of Pediatrics 1/2022

01-01-2022 | Obesity | Original Article

Usefulness of Controlled Attenuation Parameter for Identification and Grading of Nonalcoholic Fatty Liver Disease in Adolescents with Obesity

Authors: Abhinav Anand, Shalimar, Manisha Jana, Devasenathipathy Kandasamy, Brijesh Kumar, Gajendra Singh, Vandana Jain

Published in: Indian Journal of Pediatrics | Issue 1/2022

Login to get access

Abstract

Objective

To identify controlled attenuation parameter (CAP) based cutoffs for diagnosing and grading hepatic steatosis in adolescents with overweight/obesity, using magnetic resonance imaging-proton density fat fraction (MRI-PDFF) as the reference method.

Methods

Adolescents with overweight/obesity were included. Fasting glucose, insulin, aspartate aminotransferase, and alanine aminotransferase were estimated. Hepatic steatosis (S) was assessed by MRI-PDFF, and graded as S0, S1, S2, and S3 with fat fraction cutoffs of < 6.0%, ≥ 6.0% to < 17.5%, ≥ 17.5% to < 23.3%, and ≥ 23.3%, respectively. CAP and liver stiffness measure (LSM) were assessed using FibroScan. Receiver operating characteristic (ROC) curves were used to estimate the CAP scores predicting various grades of hepatic steatosis.

Results

A total of 108 adolescents aged 12.4 ± 1.9 y, with mean BMI of 26.7 ± 4.9 kg/m2 were included. S0, S1, S2, and S3 steatosis by MRI-PDFF was identified in 15, 70, 13, and 10 adolescents, respectively. A moderate positive correlation was observed between CAP score and MRI-estimated hepatic fat (r = 0.528, p < 0.001). The optimal CAP cutoffs for identifying ≥ S1, ≥ S2, and S3 steatosis were 271 [area under ROC (AUROC) 0.745 (0.630–0.859)], 296 [AUROC 0.820 (0.728–0.911)], and 309 dB/m [AUROC 0.836 (0.729–0.944)], respectively.

Conclusion

CAP score had a good discriminative ability to diagnose fatty liver in adolescents with overweight or obesity.
Appendix
Available only for authorised users
Literature
1.
go back to reference Kohli R, Sunduram S, Mouzaki M, et al. Pediatric nonalcoholic fatty liver disease: a report from the expert committee on nonalcoholic fatty liver disease (ECON). J Pediatr. 2016;172:9–13.CrossRef Kohli R, Sunduram S, Mouzaki M, et al. Pediatric nonalcoholic fatty liver disease: a report from the expert committee on nonalcoholic fatty liver disease (ECON). J Pediatr. 2016;172:9–13.CrossRef
2.
go back to reference Schwimmer JB, Deutsch R, Kahen T, Lavine JE, Stanley C, Behling C. Prevalence of fatty liver in children and adolescents. Pediatrics. 2006;118:1388–93.CrossRef Schwimmer JB, Deutsch R, Kahen T, Lavine JE, Stanley C, Behling C. Prevalence of fatty liver in children and adolescents. Pediatrics. 2006;118:1388–93.CrossRef
3.
go back to reference Anderson EL, Howe LD, Jones HE, Higgins JPT, Lawlor DA, Fraser A. The prevalence of non-alcoholic fatty liver disease in children and adolescents: a systematic review and meta-analysis. PLoS One. 2015;10:e0140908. Anderson EL, Howe LD, Jones HE, Higgins JPT, Lawlor DA, Fraser A. The prevalence of non-alcoholic fatty liver disease in children and adolescents: a systematic review and meta-analysis. PLoS One. 2015;10:e0140908.
4.
go back to reference Xanthakos SA, Jenkins TM, Kleiner DE, et al. High prevalence of nonalcoholic fatty liver disease in adolescents undergoing bariatric surgery. Gastroenterology. 2015;149:623–34. Xanthakos SA, Jenkins TM, Kleiner DE, et al. High prevalence of nonalcoholic fatty liver disease in adolescents undergoing bariatric surgery. Gastroenterology. 2015;149:623–34.
5.
go back to reference Hoque ME, Doi SAR, Mannan M, Long K, Niessen LW, Mamun AA. Prevalence of overweight and obesity among children and adolescents of the Indian subcontinent: a meta-analysis. Nutr Rev. 2014;72:541–50.CrossRef Hoque ME, Doi SAR, Mannan M, Long K, Niessen LW, Mamun AA. Prevalence of overweight and obesity among children and adolescents of the Indian subcontinent: a meta-analysis. Nutr Rev. 2014;72:541–50.CrossRef
6.
go back to reference Jain V, Jana M, Upadhyay B, et al. Prevalence, clinical & biochemical correlates of non-alcoholic fatty liver disease in overweight adolescents. Indian J Med Res. 2018;148:291–301.CrossRef Jain V, Jana M, Upadhyay B, et al. Prevalence, clinical & biochemical correlates of non-alcoholic fatty liver disease in overweight adolescents. Indian J Med Res. 2018;148:291–301.CrossRef
7.
go back to reference Goyal NP, Schwimmer JB. the progression and natural history of pediatric nonalcoholic fatty liver disease. Clin Liver Dis. 2016;20:325–38.CrossRef Goyal NP, Schwimmer JB. the progression and natural history of pediatric nonalcoholic fatty liver disease. Clin Liver Dis. 2016;20:325–38.CrossRef
8.
go back to reference A-Kader HH, Henderson J, Vanhoesen K, Ghishan F, Bhattacharyya A. Nonalcoholic fatty liver disease in children: a single center experience. Clin Gastroenterol Hepatol. 2008;6:799–802. A-Kader HH, Henderson J, Vanhoesen K, Ghishan F, Bhattacharyya A. Nonalcoholic fatty liver disease in children: a single center experience. Clin Gastroenterol Hepatol. 2008;6:799–802.
9.
go back to reference Chalasani N, Younossi Z, Lavine JE, et al. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American association for the study of liver diseases. Hepatology. 2018;67:328–57.CrossRef Chalasani N, Younossi Z, Lavine JE, et al. The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American association for the study of liver diseases. Hepatology. 2018;67:328–57.CrossRef
10.
go back to reference Ciet P, Tiddens HAWM, Wielopolski PA, et al. Magnetic resonance imaging in children: common problems and possible solutions for lung and airways imaging. Pediatr Radiol. 2015;45:1901–15.CrossRef Ciet P, Tiddens HAWM, Wielopolski PA, et al. Magnetic resonance imaging in children: common problems and possible solutions for lung and airways imaging. Pediatr Radiol. 2015;45:1901–15.CrossRef
11.
go back to reference Netaji A, Jain V, Gupta AK, Kumar U, Jana M. Utility of MR proton density fat fraction and its correlation with ultrasonography and biochemical markers in nonalcoholic fatty liver disease in overweight adolescents. J Pediatr Endocrinol Metab. 2020;33:473–9.CrossRef Netaji A, Jain V, Gupta AK, Kumar U, Jana M. Utility of MR proton density fat fraction and its correlation with ultrasonography and biochemical markers in nonalcoholic fatty liver disease in overweight adolescents. J Pediatr Endocrinol Metab. 2020;33:473–9.CrossRef
12.
go back to reference Dyson JK, Anstee QM, McPherson S. Non-alcoholic fatty liver disease: a practical approach to diagnosis and staging. Frontline Gastroenterol. 2014;5:211–8.CrossRef Dyson JK, Anstee QM, McPherson S. Non-alcoholic fatty liver disease: a practical approach to diagnosis and staging. Frontline Gastroenterol. 2014;5:211–8.CrossRef
13.
go back to reference Pu K, Wang Y, Bai S, et al. Diagnostic accuracy of controlled attenuation parameter (CAP) as a non-invasive test for steatosis in suspected non-alcoholic fatty liver disease: a systematic review and meta-analysis. BMC Gastroenterol. 2019;19:51.CrossRef Pu K, Wang Y, Bai S, et al. Diagnostic accuracy of controlled attenuation parameter (CAP) as a non-invasive test for steatosis in suspected non-alcoholic fatty liver disease: a systematic review and meta-analysis. BMC Gastroenterol. 2019;19:51.CrossRef
14.
go back to reference Shah J, Okubote T, Alkhouri N. Overview of Updated practice guidelines for pediatric nonalcoholic fatty liver disease. Gastroenterol Hepatol (N Y). 2018;14:407–14. Shah J, Okubote T, Alkhouri N. Overview of Updated practice guidelines for pediatric nonalcoholic fatty liver disease. Gastroenterol Hepatol (N Y). 2018;14:407–14.
15.
go back to reference Khadilkar V, Yadav S, Agrawal KK, et al. Revised IAP growth charts for height, weight and body mass index for 5- to 18-year-old Indian children. Indian Pediatr. 2015;52:47–55.CrossRef Khadilkar V, Yadav S, Agrawal KK, et al. Revised IAP growth charts for height, weight and body mass index for 5- to 18-year-old Indian children. Indian Pediatr. 2015;52:47–55.CrossRef
16.
go back to reference Rout G, Kedia S, Nayak B, et al. Controlled attenuation parameter for assessment of hepatic steatosis in indian patients. J Clin Exp Hepatol. 2019;9:13–21.CrossRef Rout G, Kedia S, Nayak B, et al. Controlled attenuation parameter for assessment of hepatic steatosis in indian patients. J Clin Exp Hepatol. 2019;9:13–21.CrossRef
17.
go back to reference Shin J, Kim MJ, Shin HJ, et al. Quick assessment with controlled attenuation parameter for hepatic steatosis in children based on MRI-PDFF as the gold standard. BMC Pediatr. 2019;19:112.CrossRef Shin J, Kim MJ, Shin HJ, et al. Quick assessment with controlled attenuation parameter for hepatic steatosis in children based on MRI-PDFF as the gold standard. BMC Pediatr. 2019;19:112.CrossRef
18.
go back to reference Tang A, Tan J, Sun M, et al. Nonalcoholic fatty liver disease: mr imaging of liver proton density fat fraction to assess hepatic steatosis. Radiology. 2013;267:422–31.CrossRef Tang A, Tan J, Sun M, et al. Nonalcoholic fatty liver disease: mr imaging of liver proton density fat fraction to assess hepatic steatosis. Radiology. 2013;267:422–31.CrossRef
19.
go back to reference van Werven JR, Marsman HA, Nederveen AJ, et al. Assessment of hepatic steatosis in patients undergoing liver resection: comparison of US, CT, T1-weighted Dual-Echo MR Imaging, and point-resolved 1 H MR Spectroscopy. Radiology. 2010;256:159–68.CrossRef van Werven JR, Marsman HA, Nederveen AJ, et al. Assessment of hepatic steatosis in patients undergoing liver resection: comparison of US, CT, T1-weighted Dual-Echo MR Imaging, and point-resolved 1 H MR Spectroscopy. Radiology. 2010;256:159–68.CrossRef
20.
go back to reference Schwimmer JB, Middleton MS, Behling C, et al. Magnetic resonance imaging and liver histology as biomarkers of hepatic steatosis in children with nonalcoholic fatty liver disease: clinical observations in hepatology. Hepatology. 2015;61:1887–95.CrossRef Schwimmer JB, Middleton MS, Behling C, et al. Magnetic resonance imaging and liver histology as biomarkers of hepatic steatosis in children with nonalcoholic fatty liver disease: clinical observations in hepatology. Hepatology. 2015;61:1887–95.CrossRef
21.
go back to reference Davison BA, Harrison SA, Cotter G, et al. Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials. J Hepatol. 2020;73:1322–32.CrossRef Davison BA, Harrison SA, Cotter G, et al. Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials. J Hepatol. 2020;73:1322–32.CrossRef
22.
go back to reference Ferraioli G, Calcaterra V, Lissandrin R, et al. Noninvasive assessment of liver steatosis in children: the clinical value of controlled attenuation parameter. BMC Gastroenterol. 2017;17:61.CrossRef Ferraioli G, Calcaterra V, Lissandrin R, et al. Noninvasive assessment of liver steatosis in children: the clinical value of controlled attenuation parameter. BMC Gastroenterol. 2017;17:61.CrossRef
23.
go back to reference Desai NK, Harney S, Raza R, et al. Comparison of controlled attenuation parameter and liver biopsy to assess hepatic steatosis in pediatric patients. J Pediatr. 2016;173:160–4. Desai NK, Harney S, Raza R, et al. Comparison of controlled attenuation parameter and liver biopsy to assess hepatic steatosis in pediatric patients. J Pediatr. 2016;173:160–4.
24.
go back to reference Runge JH, van Giessen J, Draijer LG, et al. Accuracy of controlled attenuation parameter compared with ultrasound for detecting hepatic steatosis in children with severe obesity. Eur Radiol. 2021;31:1588–96.CrossRef Runge JH, van Giessen J, Draijer LG, et al. Accuracy of controlled attenuation parameter compared with ultrasound for detecting hepatic steatosis in children with severe obesity. Eur Radiol. 2021;31:1588–96.CrossRef
25.
go back to reference Shalimar, Kumar R, Rout G, et al. Body mass index–based controlled attenuation parameter cut-offs for assessment of hepatic steatosis in non-alcoholic fatty liver disease. Indian J Gastroenterol. 2020;39:32–41. Shalimar, Kumar R, Rout G, et al. Body mass index–based controlled attenuation parameter cut-offs for assessment of hepatic steatosis in non-alcoholic fatty liver disease. Indian J Gastroenterol. 2020;39:32–41.
26.
go back to reference Karlas T, Petroff D, Sasso M, et al. Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. J Hepatol. 2017;66:1022–30.CrossRef Karlas T, Petroff D, Sasso M, et al. Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis. J Hepatol. 2017;66:1022–30.CrossRef
27.
go back to reference Imajo K, Kessoku T, Honda Y, et al. Magnetic resonance imaging more accurately classifies steatosis and fibrosis in patients with nonalcoholic fatty liver disease than transient elastography. Gastroenterology. 2016;150:626-37. Imajo K, Kessoku T, Honda Y, et al. Magnetic resonance imaging more accurately classifies steatosis and fibrosis in patients with nonalcoholic fatty liver disease than transient elastography. Gastroenterology. 2016;150:626-37.
28.
go back to reference Caussy C, Alquiraish MH, Nguyen P, et al. Optimal threshold of controlled attenuation parameter with MRI-PDFF as the gold standard for the detection of hepatic steatosis. Hepatology. 2018;67:1348–59. Caussy C, Alquiraish MH, Nguyen P, et al. Optimal threshold of controlled attenuation parameter with MRI-PDFF as the gold standard for the detection of hepatic steatosis. Hepatology. 2018;67:1348–59.
29.
go back to reference Caussy C, Brissot J, Singh S, et al. Prospective, same-day, direct comparison of controlled attenuation parameter with the M vs the XL probe in patients with nonalcoholic fatty liver disease, using magnetic resonance imaging–proton density fat fraction as the standard. Clin Gastroenterol Hepatol. 2020;18:1842–50. Caussy C, Brissot J, Singh S, et al. Prospective, same-day, direct comparison of controlled attenuation parameter with the M vs the XL probe in patients with nonalcoholic fatty liver disease, using magnetic resonance imaging–proton density fat fraction as the standard. Clin Gastroenterol Hepatol. 2020;18:1842–50.
30.
go back to reference Oeda S, Tanaka K, Oshima A, Matsumoto Y, Sueoka E, Takahashi H. Diagnostic accuracy of fibroscan and factors affecting measurements. Diagnostics (Basel). 2020;10:940.CrossRef Oeda S, Tanaka K, Oshima A, Matsumoto Y, Sueoka E, Takahashi H. Diagnostic accuracy of fibroscan and factors affecting measurements. Diagnostics (Basel). 2020;10:940.CrossRef
31.
go back to reference Lee H, Jun DW, Kang BK, et al. Estimating of hepatic fat amount using MRI proton density fat fraction in a real practice setting. Medicine (Baltimore). 2017;96:e7778. Lee H, Jun DW, Kang BK, et al. Estimating of hepatic fat amount using MRI proton density fat fraction in a real practice setting. Medicine (Baltimore). 2017;96:e7778.
Metadata
Title
Usefulness of Controlled Attenuation Parameter for Identification and Grading of Nonalcoholic Fatty Liver Disease in Adolescents with Obesity
Authors
Abhinav Anand
Shalimar
Manisha Jana
Devasenathipathy Kandasamy
Brijesh Kumar
Gajendra Singh
Vandana Jain
Publication date
01-01-2022
Publisher
Springer India
Published in
Indian Journal of Pediatrics / Issue 1/2022
Print ISSN: 0019-5456
Electronic ISSN: 0973-7693
DOI
https://doi.org/10.1007/s12098-021-03842-1

Other articles of this Issue 1/2022

Indian Journal of Pediatrics 1/2022 Go to the issue