Literature DB >> 18029843

Interobserver and intraobserver variability in the sonographic assessment of fatty liver.

Simon Strauss1, Ella Gavish, Paul Gottlieb, Ludmila Katsnelson.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate interobserver and intraobserver variability in the sonographic assessment of the presence and severity of fatty liver.
MATERIALS AND METHODS: We retrospectively evaluated the static images of 168 adult patients who had undergone abdominal sonography. Three experienced radiologists independently graded the hepatic images as normal, mild steatosis, moderate steatosis, or severe steatosis. Assessment of liver steatosis was repeated on the same set of images 1 month later under the same conditions and blinded to the initial reading. Weighted kappa statistics were used to analyze interobserver and intraobserver agreement, and the agreement percentages were calculated.
RESULTS: The mean interobserver and intraobserver agreement rates for the presence of fatty liver were 72% (kappa = 0.43) and 76% (kappa = 0.54). For severity of fatty liver, the initial reading for pairs of observers had 47-59% (kappa = 0.40-0.51) interobserver agreement. The interobserver agreement for the second reading was 59-64% (kappa = 0.43-0.54). The mean agreement rates for pairs of observers were 53% (kappa = 0.47) and 62% (kappa = 0.50) on the first and second readings. Intraobserver agreement for severity of fatty liver ranged from 55% to 68% (kappa = 0.51-0.63).
CONCLUSION: Subjective visual assessment of fatty liver on sonography has substantial observer variability. There is a need for a more objective quantitative method of grading fatty liver on sonography that would be easily available and applicable in routine clinical practice.

Entities:  

Mesh:

Year:  2007        PMID: 18029843     DOI: 10.2214/AJR.07.2123

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  106 in total

1.  Sonographic assessment of fatty liver: intraobserver and interobserver variability.

Authors:  Mustafa Cengiz; Senem Sentürk; Bulent Cetin; Aylin Hasanefendioğlu Bayrak; Senem Uysal Bilek
Journal:  Int J Clin Exp Med       Date:  2014-12-15

2.  A Pilot Comparative Study of Quantitative Ultrasound, Conventional Ultrasound, and MRI for Predicting Histology-Determined Steatosis Grade in Adult Nonalcoholic Fatty Liver Disease.

Authors:  Jeremy S Paige; Gregory S Bernstein; Elhamy Heba; Eduardo A C Costa; Marilia Fereirra; Tanya Wolfson; Anthony C Gamst; Mark A Valasek; Grace Y Lin; Aiguo Han; John W Erdman; William D O'Brien; Michael P Andre; Rohit Loomba; Claude B Sirlin
Journal:  AJR Am J Roentgenol       Date:  2017-03-07       Impact factor: 3.959

3.  Shift work aggravates metabolic syndrome development among early-middle-aged males with elevated ALT.

Authors:  Yu-Cheng Lin; Tun-Jen Hsiao; Pau-Chung Chen
Journal:  World J Gastroenterol       Date:  2009-12-07       Impact factor: 5.742

4.  Quantitative chemical shift-encoded MRI is an accurate method to quantify hepatic steatosis.

Authors:  Jens-Peter Kühn; Diego Hernando; Birger Mensel; Paul C Krüger; Till Ittermann; Julia Mayerle; Norbert Hosten; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2013-10-10       Impact factor: 4.813

5.  Quantitative grading using Grey Relational Analysis on ultrasonographic images of a fatty liver.

Authors:  Semra Içer; Abdulhakim Coşkun; Türkan Ikizceli
Journal:  J Med Syst       Date:  2011-04-28       Impact factor: 4.460

6.  Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-Quant sequence.

Authors:  Yong Zhang; Zhuang Zhou; Chao Wang; Xiaoguang Cheng; Ling Wang; Yangyang Duanmu; Chenxin Zhang; Nicola Veronese; Giuseppe Guglielmi
Journal:  Diagn Interv Radiol       Date:  2018-09       Impact factor: 2.630

Review 7.  Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.

Authors:  Yingzhen N Zhang; Kathryn J Fowler; Gavin Hamilton; Jennifer Y Cui; Ethan Z Sy; Michelle Balanay; Jonathan C Hooker; Nikolaus Szeverenyi; Claude B Sirlin
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

Review 8.  Noninvasive imaging assessment of non-alcoholic fatty liver disease: focus on liver scintigraphy.

Authors:  Cristiane Valle Tovo; Angelo Zambam de Mattos; Gabriela Perdomo Coral; Fernanda Schild Branco; Eiji Suwa; Angelo Alves de Mattos
Journal:  World J Gastroenterol       Date:  2015-04-21       Impact factor: 5.742

9.  Determinants of second-order bile duct visualization at CT cholangiography in potential living liver donors.

Authors:  Alexander W Keedy; Richard S Breiman; Emily M Webb; John P Roberts; Fergus V Coakley; Benjamin M Yeh
Journal:  AJR Am J Roentgenol       Date:  2013-05       Impact factor: 3.959

10.  The diagnostic accuracy of US, CT, MRI and 1H-MRS for the evaluation of hepatic steatosis compared with liver biopsy: a meta-analysis.

Authors:  Anneloes E Bohte; Jochem R van Werven; Shandra Bipat; Jaap Stoker
Journal:  Eur Radiol       Date:  2010-07-31       Impact factor: 5.315

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