Literature DB >> 28828531

Quantitative MRI of fatty liver disease in a large pediatric cohort: correlation between liver fat fraction, stiffness, volume, and patient-specific factors.

Madalsa Joshi1, Jonathan R Dillman2, Kamalpreet Singh3, Suraj D Serai1, Alexander J Towbin1, Stavra Xanthakos4, Bin Zhang5, Weizhe Su6, Andrew T Trout1.   

Abstract

PURPOSE: Magnetic resonance imaging (MRI) techniques are increasingly used to quantify and monitor liver tissue characteristics including fat fraction, stiffness, and liver volume. The purpose of this study was to assess the inter-relationships between multiple quantitative liver metrics and patient-specific factors in a large pediatric cohort with known or suspected fatty liver disease.
MATERIALS AND METHODS: In this IRB-approved, HIPAA-compliant study, we retrospectively reviewed patient data and quantitative liver MRI results in children with known/suspected fatty liver disease. Relationships between liver MRI tissue characteristics and patient variables [sex, age, body mass index (BMI), diabetic status (no diabetes mellitus, insulin resistance/"prediabetes" diagnosis, or confirmed diabetes mellitus), and serum alanine transaminase (ALT)] were assessed using linear mixed models.
RESULTS: 294 quantitative liver MRI examinations were performed in 202 patients [128/202 (63.4%) boys], with a mean age of 13.4 ± 2.9 years. Based on linear mixed models, liver fat fraction was influenced by age (-0.71%/+1 year, p = 0.0002), liver volume (+0.006%/+1 mL, p < 0.0001), liver stiffness (-2.80%/+1 kPa, p = 0.0006), and serum ALT (+0.02%/+1 U/L, p = 0.0019). Liver stiffness was influenced by liver volume (+0.0003 kPa/+1 mL, p = 0.001), fat fraction (-0.02 kPa/+1% fat, p = 0.0006), and ALT (0.002 kPa/+1 U/L, p = 0.0002). Liver volume was influenced by sex (-262.1 mL for girls, p = 0.0003), age (+51.8 mL/+1 year, p = 0.0001), BMI (+49.1 mL/+1 kg/m2, p < 0.0001), fat fraction (+30.5 mL/+1% fat, p < 0.0001), stiffness (+192.6 mL/+1 kPa, p = 0.001), and diabetic status (+518.94 mL for diabetics, p = 0.0009).
CONCLUSIONS: Liver volume, fat fraction, and stiffness are inter-related and associated with multiple patient-specific factors. These relationships warrant further study as MRI is increasingly used as a non-invasive biomarker for fatty liver disease diagnosis and monitoring.

Entities:  

Keywords:  Children; Fibrosis; MRI; Multiparameteric; Quantitative; Steatosis

Mesh:

Year:  2018        PMID: 28828531     DOI: 10.1007/s00261-017-1289-y

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  9 in total

1.  Liver stiffness measurement by magnetic resonance elastography is not affected by hepatic steatosis.

Authors:  Jie Chen; Alina M Allen; Terry M Therneau; Jun Chen; Jiahui Li; Safa Hoodeshenas; Jingbiao Chen; Xin Lu; Zheng Zhu; Sudhakar K Venkatesh; Bin Song; Richard L Ehman; Meng Yin
Journal:  Eur Radiol       Date:  2021-08-25       Impact factor: 5.315

2.  Spectroscopy-based multi-parametric quantification in subjects with liver iron overload at 1.5T and 3T.

Authors:  Gregory Simchick; Ruiyang Zhao; Gavin Hamilton; Scott B Reeder; Diego Hernando
Journal:  Magn Reson Med       Date:  2021-09-23       Impact factor: 4.668

3.  Free-breathing quantification of hepatic fat in healthy children and children with nonalcoholic fatty liver disease using a multi-echo 3-D stack-of-radial MRI technique.

Authors:  Tess Armstrong; Karrie V Ly; Smruthi Murthy; Shahnaz Ghahremani; Grace Hyun J Kim; Kara L Calkins; Holden H Wu
Journal:  Pediatr Radiol       Date:  2018-05-04

Review 4.  Putting it all together: established and emerging MRI techniques for detecting and measuring liver fibrosis.

Authors:  Suraj D Serai; Andrew T Trout; Alexander Miethke; Eric Diaz; Stavra A Xanthakos; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2018-08-04

5.  Accuracy of common proton density fat fraction thresholds for magnitude- and complex-based chemical shift-encoded MRI for assessing hepatic steatosis in patients with obesity.

Authors:  Guilherme Moura Cunha; Tydus T Thai; Gavin Hamilton; Yesenia Covarrubias; Alexandra Schlein; Michael S Middleton; Curtis N Wiens; Alan McMillan; Rashmi Agni; Luke M Funk; Guilherme M Campos; Santiago Horgan; Garth Jacobson; Tanya Wolfson; Anthony Gamst; Jeffrey B Schwimmer; Scott B Reeder; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2020-03

6.  DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults.

Authors:  Hailong Li; Lili He; Jonathan A Dudley; Thomas C Maloney; Elanchezhian Somasundaram; Samuel L Brady; Nehal A Parikh; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2020-10-13

Review 7.  Magnetic resonance elastography of the liver: everything you need to know to get started.

Authors:  Kay M Pepin; Christopher L Welle; Flavius F Guglielmo; Jonathan R Dillman; Sudhakar K Venkatesh
Journal:  Abdom Radiol (NY)       Date:  2021-11-01

8.  Role of Magnetic Resonance Imaging in the Monitoring of Patients with Nonalcoholic Fatty Liver Disease: Comparison with Ultrasonography, Lipid Profile, and Body Mass Index.

Authors:  Nikhil Makhija; Naval K Vikram; Gurdeep Kaur; Raju Sharma; Deep N Srivastava; Kumble S Madhusudhan
Journal:  J Clin Exp Hepatol       Date:  2019-09-20

9.  Are body surface area based estimates of liver volume applicable to children with overweight or obesity? An in vivo validation study.

Authors:  Chelsea Hosey-Cojocari; Sherwin S Chan; Chance S Friesen; Amie Robinson; Veronica Williams; Erica Swanson; Daniel O'Toole; Jansynn Radford; Neil Mardis; Trevor N Johnson; J Steven Leeder; Valentina Shakhnovich
Journal:  Clin Transl Sci       Date:  2021-05-31       Impact factor: 4.689

  9 in total

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