The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis
Open accessAbstract
It is estimated that 30% of the adult population in Japan is affected by nonalcoholic fatty liver disease (NAFLD). Fatty changes of the liver are generally diagnosed using imaging methods such as abdominal ultrasonography (US) and computed tomography (CT), but the sensitivity of these imaging techniques is low in cases of mild steatosis. Alanine aminotransferase levels may be normal in some of these patients, warranting the necessity to establish a set of parameters useful for detecting NAFLD, and the more severe form of the disease, nonalcoholic steatohepatitis (NASH). Although liver biopsy is currently the gold standard for diagnosing progressive NASH, it has many drawbacks, such as sampling error, cost, and risk of complications. Furthermore, it is not realistic to perform liver biopsies on all NAFLD patients. Diagnosis of NASH using various biomarkers, scoring systems and imaging methods, such as elastography, has recently been attempted. The NAFIC score, calculated from the levels of ferritin, fasting insulin, and type IV collagen 7S, is useful for the diagnosis of NASH, while the NAFLD fibrosis score and the FIB-4 index are useful for excluding NASH in cases of advanced fibrosis. This article reviews the limitations and merits of liver biopsy and noninvasive diagnostic tests in the diagnosis of NAFLD/NASH.
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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
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
Speliotes, E. K., Yerges-Armstrong, L. M., Wu, J., Hernaez, R., Kim, L. J., Palmer, C. D., Gudnason, V., Eiriksdottir, G., Garcia, M. E., Launer, L. J., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001324 · Cited by 984
Kim, D., Kim, R. W., Kim, H. J., & Therneau, T. M. (2013) · Hepatology · doi:10.1002/hep.26156 · Cited by 772
Apolipoprotein C3 gene variants in nonalcoholic fatty liver disease
Petersen, K. F., Dufour, S., Hariri, A., Nelson-Williams, C., Foo, J. N., Zhang, X.-M., Dziura, J., Lifton, R. P., & Shulman, G. I. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907295 · Cited by 428
Kawamura, Y., Arase, Y., Ikeda, K., Seko, Y., Imai, N., Hosaka, T., Kobayashi, M., Saitoh, S., Sezaki, H., Akuta, N., et al. (2012) · American Journal of Gastroenterology · doi:10.1038/ajg.2011.327 · Cited by 280
Cited by
NAFLD as a Continuum: From Obesity to Metabolic Syndrome and Diabetes
Godoy-Matos, A. F., Silva Júnior, W. S., & Valerio, C. M. (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-00570-y · Cited by 643
Challenges and opportunities in NASH drug development
Harrison, S. A., Allen, A. M., Dubourg, J., Noureddin, M., & Alkhouri, N. (2023) · Nature Medicine · doi:10.1038/s41591-023-02242-6 · Cited by 353
The effects of physical exercise on fatty liver disease.
van der Windt, D. J., Sud, V., Zhang, H., Tsung, A., & Huang, H. (2018) · Gene Expression · doi:10.3727/105221617x15124844266408 · Cited by 294
Kim, G., Lee, S., Lee, Y., Jun, J. E., Ahn, J., Bae, J. C., Jin, S., Hur, K. Y., Jee, J. H., Lee, M., et al. (2018) · Hepatology · doi:10.1002/hep.30049 · Cited by 198
Characterisation of liver fat in the UK Biobank cohort
Wilman, H. R., Kelly, M., Garratt, S., Matthews, P. M., Milanesi, M., Herlihy, A., Gyngell, M., Neubauer, S., Bell, J. D., Banerjee, R., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0172921 · Cited by 159
Metadata
- Authors
- Sumida, Y.
- Venue
- World Journal of Gastroenterology
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2014
- Volume
- 20
- Issue
- 2
- Pages
- 475
- ISSN
- 1007-9327 (ISSN-L)
- OpenAlex
- W2000641576
- Cited by
- 689
- References
- 6
- FWCI
- 22.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sumida, Y. (2014). Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. World Journal of Gastroenterology. https://doi.org/10.3748/wjg.v20.i2.475
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