The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Quantitative assessment of liver fat with magnetic resonance imaging and spectroscopy
Open accessAbstract
Hepatic steatosis is characterized by abnormal and excessive accumulation of lipids within hepatocytes. It is an important feature of diffuse liver disease, and the histological hallmark of nonalcoholic fatty liver disease (NAFLD). Other conditions associated with steatosis include alcoholic liver disease, viral hepatitis, human immunodeficiency virus (HIV) and genetic lipodystrophies, cystic fibrosis liver disease, and hepatotoxicity from various therapeutic agents. Liver biopsy, the current clinical gold standard for assessment of liver fat, is invasive and has sampling errors, and is not optimal for screening, monitoring, clinical decision‐making, or well suited for many types of research studies. Noninvasive methods that accurately and objectively quantify liver fat are needed. Ultrasound (US) and computed tomography (CT) can be used to assess liver fat but have limited accuracy as well as other limitations. Magnetic resonance (MR) techniques can decompose the liver signal into its fat and water signal components and therefore assess liver fat more directly than CT or US. Most MR techniques measure the signal fat‐fraction (the fraction of the liver MR signal attributable to liver fat), which may be confounded by numerous technical and biological factors and may not reliably reflect fat content. By addressing the factors that confound the signal fat‐fraction, advanced MR techniques measure the proton density fat‐fraction (the fraction of the liver proton density attributable to liver fat), which is a fundamental tissue property and a direct measure of liver fat content. These advanced techniques show promise for accurate fat quantification and are likely to be commercially available soon. J. Magn. Reson. Imaging 2011;. © 2011 Wiley‐Liss, Inc.
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Cites
Nonalcoholic fatty liver disease: a spectrum of clinical and pathological severity.
MATTEONI, C., YOUNOSSI, Z., GRAMLICH, T., BOPARAI, N., LIU, Y., & MCCULLOUGH, A. (1999) · Gastroenterology · doi:10.1016/s0016-5085(99)70506-8 · Cited by 3,345
The Natural History of Nonalcoholic Fatty Liver Disease: A Population-Based Cohort Study
Adams, L. A., Lymp, J. F., St. Sauver, J., Sanderson, S. O., Lindor, K. D., Feldstein, A., & Angulo, P. (2005) · Gastroenterology · doi:10.1053/j.gastro.2005.04.014 · Cited by 2,890
Sampling Variability of Liver Biopsy in Nonalcoholic Fatty Liver Disease
Ratziu, V., Charlotte, F., Heurtier, A., Gombert, S., Giral, P., Bruckert, E., Grimaldi, A., Capron, F., & Poynard, T. (2005) · Gastroenterology · doi:10.1053/j.gastro.2005.03.084 · Cited by 2,106
Korenblat, K. M., Fabbrini, E., Mohammed, B. S., & Klein, S. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.01.075 · Cited by 592
Quantification of liver fat using magnetic resonance spectroscopy
Thomsen, C., Becker, U., Winkler, K., Christoffersen, P., Jensen, M., & Henriksen, O. (1994) · Magnetic Resonance Imaging · doi:10.1016/0730-725x(94)92543-7 · Cited by 332
MITCHELL, D. G., KIM, I., CHANG, T. S., VINITSKI, S., SAPONARO, S. A., EHRLICH, S. M., RIFKIN, M. D., & RUBIN, R. (1991) · Investigative Radiology · doi:10.1097/00004424-199112000-00002 · Cited by 131
Development and Validation of a Model Predicting Graft Survival after Liver Transplantation
Ioannou, G. N. (2006) · Liver Transplantation · doi:10.1002/lt.20764 · Cited by 115
Rubinstein, E., Lavine, J., & Schwimmer, J. (2008) · Seminars in Liver Disease · doi:10.1055/s-0028-1091982 · Cited by 60 · cited 12×
“Hepatic steatosis is the histological hallmark of NAFLD and is accepted by most investigators to play a pathogenic role in the development of nonalcoholic steatohepatitis (NASH), a more aggressive subset of NAFLD, characterized by necroinflammation, fibrosis, and, eventually, cirrhosis (8,15–17).”
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Cited by
Chalasani, N., Younossi, Z., Lavine, J. E., Charlton, M., Cusi, K., Rinella, M., Harrison, S. A., Brunt, E. M., & Sanyal, A. J. (2018) · Hepatology · doi:10.1002/hep.29367 · Cited by 7,239
Noninvasive assessment of liver disease in patients with nonalcoholic fatty liver disease
Castera, L., Friedrich-Rust, M., & Loomba, R. (2019) · Gastroenterology · doi:10.1053/j.gastro.2018.12.036 · Cited by 1,494
Noureddin, M., Lam, J., Peterson, M. R., Middleton, M., Hamilton, G., Le, T.-A., Bettencourt, R., Changchien, C., Brenner, D. A., Sirlin, C., et al. (2013) · Hepatology · doi:10.1002/hep.26455 · Cited by 550
Self-citationLoomba, R., Lawitz, E., Mantry, P. S., Jayakumar, S., Caldwell, S. H., Arnold, H., Diehl, A. M., Djedjos, C. S., Han, L., Myers, R. P., et al. (2018) · Hepatology · doi:10.1002/hep.29514 · Cited by 549
Mediterranean diet and nonalcoholic fatty liver disease
Anania, C., Perla, F. M., Olivero, F., Pacifico, L., & Chiesa, C. (2018) · World Journal of Gastroenterology · doi:10.3748/wjg.v24.i19.2083 · Cited by 353
Metadata
- Authors
- Reeder, S. B., Cruite, I., Hamilton, G., & Sirlin, C. B.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2011-09-16
- Volume
- 34
- Issue
- 4
- Pages
- 729-749
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- OpenAlex
- W4246242867
- Cited by
- 822
- References
- 8
- FWCI
- 27.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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