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Cited by 314

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Magnetic resonance imaging of hepatic fibrosis: Emerging clinical applications

Open access
Talwalkar, Jayant A., Yin, Meng, Fidler, Jeff L., Sanderson, Schuyler O., Kamath, Patrick S., Ehman, Richard L.·2008·Hepatology

Abstract

Chronic liver disease and cirrhosis remains a major public health problem worldwide. While the majority of complications from chronic liver disease result from progressive hepatic fibrosis, the available diagnostic tests used in clinical practice are not sensitive or specific enough to detect occult liver injury at early or intermediate stages. While liver biopsy can stage the extent of fibrosis at diagnosis, its utility as a tool for longitudinal monitoring will be limited at the population level. To date, a number of methods including serum marker panels and ultrasound-based transient elastrography have been proposed for the non-invasive identification of hepatic fibrosis. Novel techniques including magnetic resonance (MR) spectroscopy, diffusion weighted MR, and MR elastography have also emerged for detecting fibrosis. In contrast to other non-invasive methods, MR imaging holds the promise of providing functional and biological information about hepatic pathophysiology as it relates to the natural history and future treatment of hepatic fibrosis. (Hepatology 2007.)

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Metadata

Authors
Talwalkar, J. A., Yin, M., Fidler, J. L., Sanderson, S. O., Kamath, P. S., & Ehman, R. L.
Venue
Hepatology
Published
2008-01
Volume
47
Issue
1
Pages
332-342
ISSN
0270-9139 (ISSN-L)
OpenAlex
W2003756626
Cited by
314
References
61
FWCI
13.61
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Magnetic resonance imaging of hepatic fibrosis: Emerging clinical applications. https://app.cochat.ai/papers/10.1002/hep.21972
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Talwalkar, J. A., Yin, M., Fidler, J. L., Sanderson, S. O., Kamath, P. S., & Ehman, R. L. (2008). Magnetic resonance imaging of hepatic fibrosis: Emerging clinical applications. Hepatology. https://doi.org/10.1002/hep.21972

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.