Literature DB >> 30955836

Accuracy of ultrasonography in the assessment of liver fat compared with MRI.

M L Kromrey1, T Ittermann2, M Berning3, C Kolb4, R T Hoffmann4, M M Lerch5, H Völzke2, J-P Kühn6.   

Abstract

AIM: To investigate the accuracy of ultrasonography in the assessment of hepatic steatosis using magnetic resonance imaging (MRI) as standard of reference and to explore the influence of additional hepatic iron overload.
MATERIAL AND METHODS: A total of 2,783 volunteers (1,442 women, 1,341 men; mean age, 52.3±13.8 years) underwent confounder-corrected chemical-shift-encoded MRI of the liver at 1.5 T. Proton-density fat fraction (PDFF) and transverse relaxation rate (R2*) were calculated to estimate hepatic steatosis and liver iron overload, respectively. In addition, the presence of hepatic steatosis was assessed by B-mode ultrasonography. The sensitivity, specificity, and accuracy of hepatic ultrasonography were determined for different degrees of hepatic steatosis and different amounts of liver iron.
RESULTS: MRI revealed hepatic steatosis in 40% of participants (n=1,112), which was mild in 68.9% (n=766), moderate in 26.7% (n=297), and severe in 4.4% (n=49) of patients. Ultrasonography detected hepatic steatosis in 37.8% (n=1,052), corresponding to 74.5% sensitivity and 86.6% specificity. The sensitivity of ultrasound increased with the amount of hepatic fat present and was 65.1%, 95%, and 96% for low, moderate, and high fat content; whereas the specificity was constantly high at 86.6%. The diagnostic accuracy of ultrasound for detection of hepatic steatosis did not vary significantly with the amount of liver iron present.
CONCLUSION: Ultrasonography is an excellent tool to assess hepatic steatosis in the clinical setting with some limitations in patients with a low liver fat content. The detection of hepatic steatosis by ultrasonography is not influenced by liver iron.
Copyright © 2019. Published by Elsevier Ltd.

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Year:  2019        PMID: 30955836     DOI: 10.1016/j.crad.2019.02.014

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  10 in total

1.  Atherogenic index of plasma combined with waist circumference and body mass index to predict metabolic-associated fatty liver disease.

Authors:  Shao-Jie Duan; Zhi-Ying Ren; Tao Zheng; Hong-Ye Peng; Zuo-Hu Niu; Hui Xia; Jia-Liang Chen; Yuan-Chen Zhou; Rong-Rui Wang; Shu-Kun Yao
Journal:  World J Gastroenterol       Date:  2022-09-28       Impact factor: 5.374

Review 2.  Diagnostic and Therapy of Nonalcoholic Fatty Liver Disease: A Narrative Review.

Authors:  Elke Roeb
Journal:  Visc Med       Date:  2021-10-26

3.  A Non-Invasive Prediction Model for Non-Alcoholic Fatty Liver Disease in Adults with Type 2 Diabetes Based on the Population of Northern Urumqi, China.

Authors:  Mingyue Xue; Xiaoping Yang; Yuan Zou; Tao Liu; Yinxia Su; Cheng Li; Hua Yao; Shuxia Wang
Journal:  Diabetes Metab Syndr Obes       Date:  2021-02-02       Impact factor: 3.168

4.  Hepatorenal index for grading liver steatosis with concomitant fibrosis.

Authors:  Fabio Lucio Stahlschmidt; Jean Rodrigo Tafarel; Carla Martinez Menini-Stahlschmidt; Cristina Pellegrino Baena
Journal:  PLoS One       Date:  2021-02-12       Impact factor: 3.240

5.  The association between Helicobacter pylori with nonalcoholic fatty liver disease assessed by controlled attenuation parameter and other metabolic factors.

Authors:  Yoo Min Han; Jooyoung Lee; Ji Min Choi; Min-Sun Kwak; Jong In Yang; Su Jin Chung; Jeong Yoon Yim; Goh Eun Chung
Journal:  PLoS One       Date:  2021-12-13       Impact factor: 3.240

Review 6.  SGLT2 Inhibitors as the Most Promising Influencers on the Outcome of Non-Alcoholic Fatty Liver Disease.

Authors:  Luigi Mirarchi; Simona Amodeo; Roberto Citarrella; Anna Licata; Maurizio Soresi; Lydia Giannitrapani
Journal:  Int J Mol Sci       Date:  2022-03-27       Impact factor: 5.923

7.  Genetic variants associated with steatohepatitis and liver fibrosis in HIV-infected patients with NAFLD.

Authors:  C Busca; P Arias; M Sánchez-Conde; M Rico; R Montejano; L Martín-Carbonero; E Valencia; V Moreno; J I Bernardino; A Olveira; M Abadía; J González-García; M L Montes
Journal:  Front Pharmacol       Date:  2022-08-30       Impact factor: 5.988

8.  Cardiometabolic index: A new predictor for metabolic associated fatty liver disease in Chinese adults.

Authors:  Shaojie Duan; Deshuang Yang; Hui Xia; Zhiying Ren; Jialiang Chen; Shukun Yao
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-16       Impact factor: 6.055

Review 9.  SHIP-MR and Radiology: 12 Years of Whole-Body Magnetic Resonance Imaging in a Single Center.

Authors:  Norbert Hosten; Robin Bülow; Henry Völzke; Martin Domin; Carsten Oliver Schmidt; Alexander Teumer; Till Ittermann; Matthias Nauck; Stephan Felix; Marcus Dörr; Marcello Ricardo Paulista Markus; Uwe Völker; Amro Daboul; Christian Schwahn; Birte Holtfreter; Torsten Mundt; Karl-Friedrich Krey; Stefan Kindler; Maria Mksoud; Stefanie Samietz; Reiner Biffar; Wolfgang Hoffmann; Thomas Kocher; Jean-Francois Chenot; Andreas Stahl; Frank Tost; Nele Friedrich; Stephanie Zylla; Anke Hannemann; Martin Lotze; Jens-Peter Kühn; Katrin Hegenscheid; Christian Rosenberg; Georgi Wassilew; Stefan Frenzel; Katharina Wittfeld; Hans J Grabe; Marie-Luise Kromrey
Journal:  Healthcare (Basel)       Date:  2021-12-24

10.  Association between thyroid function and assessment of hepatic fat and iron contents by magnetic resonance imaging.

Authors:  Till Ittermann; Rehman Mehmood Khattak; Marcello R P Markus; Jens-Peter Kühn; Marie-Luise Kromrey; Giovanni Targher; Antje Steveling; Matthias Nauck; Henry Völzke
Journal:  Endocr Connect       Date:  2022-02-16       Impact factor: 3.335

  10 in total

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