Non-invasive assessment of hepatic steatosis: prospective comparison of the accuracy of imaging examinations - PubMed (original) (raw)
Clinical Trial
doi: 10.1016/j.jhep.2010.01.008. Epub 2010 Feb 2.
Seong Ho Park, Hye Jin Kim, So Yeon Kim, Min-Yeong Kim, Dae Yoon Kim, Dong Jin Suh, Kang Mo Kim, Mi Hyun Bae, Joo Yeon Lee, Sung-Gyu Lee, Eun Sil Yu
Affiliations
- PMID: 20185194
- DOI: 10.1016/j.jhep.2010.01.008
Clinical Trial
Non-invasive assessment of hepatic steatosis: prospective comparison of the accuracy of imaging examinations
Seung Soo Lee et al. J Hepatol. 2010 Apr.
Abstract
Background & aims: Despite increasing use of various imaging examinations for non-invasive assessment of hepatic steatosis (HS), their relative accuracy is unknown. The objective of this study is to prospectively compare the accuracy of computed tomography (CT), dual gradient echo magnetic resonance imaging (DGE-MRI), proton magnetic resonance spectroscopy ((1)H-MRS), and ultrasonography (US) for the diagnosis and quantitative estimation of HS.
Methods: A total of 161 consecutive potential living liver donors underwent US (performed by two independent radiologists, US1 and US2), CT, DGE-MRI, (1)H-MRS, and liver biopsy on the same day. Using the histologic degree of HS as the reference standard, we compared the diagnostic performance of US1, US2, CT, DGE-MRI, and (1)H-MRS for diagnosing HS >or= 5% and HS >or= 30% and compared the accuracy of CT, DGE-MRI, and (1)H-MRS in the quantitative estimation of HS.
Results: DGE-MRI and (1)H-MRS significantly outperformed CT and US for the diagnosis of HS5%. DGE-MRI showed a tendency of higher accuracy than the other examinations for diagnosing HS >or= 30%. The cross-validated sensitivity and specificity of DGE-MRI at the optimal cut-off were 76.7% and 87.1%, respectively, for diagnosing HS >or= 5% and 90.9% and 94%, respectively, for diagnosing HS >or= 30%. The cross-validated Bland-Altman 95% limits of agreement between the estimated degree of HS on imaging examinations and the histologic degree of HS, were the narrowest with DGE-MRI, yielding -12.7% to 12.7%.
Conclusions: Among CT, DGE-MRI, (1)H-MRS, and US, DGE-MRI is the most accurate method for the diagnosis and quantitative estimation of HS. Therefore, DGE-MRI may be the preferred imaging examination for the non-invasive assessment of HS.
Similar articles
- Hepatic fat quantification: a prospective comparison of magnetic resonance spectroscopy and analysis methods for chemical-shift gradient echo magnetic resonance imaging with histologic assessment as the reference standard.
Kang BK, Yu ES, Lee SS, Lee Y, Kim N, Sirlin CB, Cho EY, Yeom SK, Byun JH, Park SH, Lee MG. Kang BK, et al. Invest Radiol. 2012 Jun;47(6):368-75. doi: 10.1097/RLI.0b013e31824baff3. Invest Radiol. 2012. PMID: 22543969 - Quantification of hepatic steatosis: a comparison of the accuracy among multiple magnetic resonance techniques.
Wu CH, Ho MC, Jeng YM, Hsu CY, Liang PC, Hu RH, Lai HS, Shih TT. Wu CH, et al. J Gastroenterol Hepatol. 2014 Apr;29(4):807-13. doi: 10.1111/jgh.12451. J Gastroenterol Hepatol. 2014. PMID: 24224538 - Assessment of hepatic steatosis in patients undergoing liver resection: comparison of US, CT, T1-weighted dual-echo MR imaging, and point-resolved 1H MR spectroscopy.
van Werven JR, Marsman HA, Nederveen AJ, Smits NJ, ten Kate FJ, van Gulik TM, Stoker J. van Werven JR, et al. Radiology. 2010 Jul;256(1):159-68. doi: 10.1148/radiol.10091790. Radiology. 2010. PMID: 20574093 - Multidetector computed tomography vs magnetic resonance imaging for defining the upper limit of tumour thrombus in renal cell carcinoma: a study and review.
Lawrentschuk N, Gani J, Riordan R, Esler S, Bolton DM. Lawrentschuk N, et al. BJU Int. 2005 Aug;96(3):291-5. doi: 10.1111/j.1464-410X.2005.05617.x. BJU Int. 2005. PMID: 16042716 Review. - Systematic review: the use of ultrasonography, computed tomography and magnetic resonance imaging for the diagnosis, assessment of activity and abdominal complications of Crohn's disease.
Panés J, Bouzas R, Chaparro M, García-Sánchez V, Gisbert JP, Martínez de Guereñu B, Mendoza JL, Paredes JM, Quiroga S, Ripollés T, Rimola J. Panés J, et al. Aliment Pharmacol Ther. 2011 Jul;34(2):125-45. doi: 10.1111/j.1365-2036.2011.04710.x. Epub 2011 May 25. Aliment Pharmacol Ther. 2011. PMID: 21615440 Review.
Cited by
- Clinical model to predict the risk of nonalcoholic fatty liver disease: A secondary analysis of data from a cross-sectional study.
Yang B, Zhong X. Yang B, et al. Medicine (Baltimore). 2024 Sep 6;103(36):e39437. doi: 10.1097/MD.0000000000039437. Medicine (Baltimore). 2024. PMID: 39252286 Free PMC article. - Whole-liver histogram analysis of hepatocyte-specific contrast-enhanced magnetic resonance imaging for predicting progression in patients with cirrhosis.
Qiao X, Wang Z, Zhang X, Chen W, Wang L, Chen YW. Qiao X, et al. Quant Imaging Med Surg. 2024 Aug 1;14(8):6072-6086. doi: 10.21037/qims-24-109. Epub 2024 Jul 25. Quant Imaging Med Surg. 2024. PMID: 39144000 Free PMC article. - H-Scan Discrimination for Tumor Microenvironmental Heterogeneity in Melanoma.
Baek J, Qin SS, Prieto PA, Parker KJ. Baek J, et al. Ultrasound Med Biol. 2024 Feb;50(2):268-276. doi: 10.1016/j.ultrasmedbio.2023.10.012. Epub 2023 Nov 22. Ultrasound Med Biol. 2024. PMID: 37993356 - CT-based methods for assessment of metabolic dysfunction associated with fatty liver disease.
Hu N, Yan G, Tang M, Wu Y, Song F, Xia X, Chan LW, Lei P. Hu N, et al. Eur Radiol Exp. 2023 Nov 21;7(1):72. doi: 10.1186/s41747-023-00387-0. Eur Radiol Exp. 2023. PMID: 37985560 Free PMC article. Review. - Plasma ceramides are associated with MRI-based liver fat content but not with noninvasive scores of liver fibrosis in patients with type 2 diabetes.
Denimal D, Béland-Bonenfant S, Pais-de-Barros JP, Rouland A, Bouillet B, Duvillard L, Vergès B, Petit JM. Denimal D, et al. Cardiovasc Diabetol. 2023 Nov 8;22(1):310. doi: 10.1186/s12933-023-02049-2. Cardiovasc Diabetol. 2023. PMID: 37940926 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical