Value of Ultrasound Attenuation Index in Noninvasive Quantitative Estimation of Hepatic Steatosis

2013 ◽  
Vol 39 (5) ◽  
pp. S80-S81 ◽  
Author(s):  
K.W. Kim ◽  
H.J. Kwon ◽  
S.J. Lee ◽  
S.Y. Kim ◽  
J.S. Lee ◽  
...  
2016 ◽  
Vol 18 (4) ◽  
pp. 431 ◽  
Author(s):  
Heon-Ju Kwon ◽  
Kyoung Won Kim ◽  
Jin-Hee Jung ◽  
Sang Hyun Choi ◽  
Woo Kyoung Jeong ◽  
...  

Aims: To compare the accuracy of the ultrasound attenuation index (USAI) and hepato-renal index (HRI) for the diagnosis of hepatic steatosis (HS). Material and methods: Two hundred and twenty-four potential living hepatic donors underwent US and subsequent US-guided liver biopsy. The USAI was calculated from US images with an 8 MHz transducer and HRI was measured on sagittal images with a clear visualization of both the liver and kidney. Using histological degrees of HS as the reference standard, we compared the performance of USAI and HRI for diagnosing HS ≥ 5% and ≥ 30% by receiver operating characteristic curve analysis. The interobserver agreement was evaluated by using intraclass correlation coefficients (ICCs) or Bland–Altman statistics. Results: Histologic degree of HS was 0–70% (median, 5%). HRI showed a tendency towards higher accuracy than USAI for diagnosing HS ≥ 5% (the area under the ROC curve, 0.856 vs. 0.820; p= 0.279) and ≥ 30% (0.937 vs. 0.909; p = 0.378) without statistical significance. There was an excellent interobserver agreement for both USAI and HRI (ICC = 0.931 and 0.973, respectively). According to the Bland–Altman method, the 95% limits of difference between two readers for HS were −8.5% to 6.6% by USAI and −4.8% to 6.2% by HRI. Most patients would have the difference of calculated HS by USAI (74.0%) and HRI (96.0%) from different operators within a range of ±5%. Conclusions: Although statistically insignificant, HRI was superior to USAI for the diagnosis and quantitative estimation of HS in terms of diagnostic performance, including accuracy and reproducibility.


2013 ◽  
Vol 32 (2) ◽  
pp. 229-235 ◽  
Author(s):  
Heon-Ju Kwon ◽  
Kyoung Won Kim ◽  
So Jung Lee ◽  
So Yeon Kim ◽  
Jong Seok Lee ◽  
...  

Author(s):  
Jong Keon Jang ◽  
So Yeon Kim ◽  
In Woon Yoo ◽  
Young Bum Cho ◽  
Hyo Jeong Kang ◽  
...  

2018 ◽  
Vol 1 (suppl_1) ◽  
pp. 351-352
Author(s):  
J Dhaliwal ◽  
G Chavhan ◽  
P Wales ◽  
M Mouzaki

Abstract Aims To determine the prevalence of hepatic steatosis in a cohort of previously healthy children and adolescents, with the use of abdominal computer tomography (CT). Methods Retrospective review of the Sickkids trauma database from (year 2004 to 2015). Inclusion criteria: previously healthy children ages 1-17yr having undergone an abdominal CT scan as a part of routine trauma assessment. Exclusion criteria: Involvement of spleen and/or liver in the injury, known metabolic condition, concurrent use of medications that could predispose to hepatic steatosis. Steatosis was defined as a liver spleen attenuation index (L/S AI) of <0.8. Anthropometrics and baseline demographics were collected. Statistical analyses were performed using Graphpad Prism 7. Results A total of 143 children were included in the analyses with a mean (SD) age of 7.12(4.26) years. 88 children were male (7.10(4.24) years old). The mean (SD) weight z score was 0.48 (0.97). Fifteen percent of the 137 children with a weight z-score between -2 to 2 had evidence of hepatic steatosis on imaging (using liver/spleen index <0.8). Twenty seven percent (6/22) of children with weight z-scores less than the 33rd percentile had L/S AI <0.8. An inverse correlation between weight z-scores and L/S AI was found in children >10 years (P<0.016) (Fig 1); however there was no correlation in pre-pubertal children (P<0.374). Conclusions Hepatic steatosis is highly prevalent in this cohort of healthy children in Ontario. Larger population based studies are needed to investigate the prevalence of hepatic steatosis in children across Canada. Funding Agencies None


Radiology ◽  
2007 ◽  
Vol 244 (2) ◽  
pp. 479-485 ◽  
Author(s):  
Sang Won Lee ◽  
Seong Ho Park ◽  
Kyoung Won Kim ◽  
Eugene K. Choi ◽  
Yong Moon Shin ◽  
...  

2020 ◽  
Vol 39 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Jeongin Yoo ◽  
Jeong Min Lee ◽  
Ijin Joo ◽  
Dong Ho Lee ◽  
Jeong Hee Yoon ◽  
...  

Kanzo ◽  
2018 ◽  
Vol 59 (1) ◽  
pp. 65-67 ◽  
Author(s):  
Hiroko Iijima ◽  
Takashi Nishimura ◽  
Toshifumi Tada ◽  
Chikage Nakano ◽  
Tomoko Aoki ◽  
...  

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