The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Magnetic resonance elastography predicts advanced fibrosis in patients with nonalcoholic fatty liver disease: A prospective study
Open accessAbstract
UNLABELLED: Retrospective studies have shown that two-dimensional magnetic resonance elastography (2D-MRE), a novel MR method for assessment of liver stiffness, correlates with advanced fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). Prospective data on diagnostic accuracy of 2D-MRE in the detection of advanced fibrosis in NAFLD are needed. The aim of this study is to prospectively assess the diagnostic accuracy of 2D-MRE, a noninvasive imaging biomarker, in predicting advanced fibrosis (stage 3 or 4) in well-characterized patients with biopsy-proven NAFLD. This is a cross-sectional analysis of a prospective study including 117 consecutive patients (56% women) with biopsy-proven NAFLD who underwent a standardized research visit: history, exam, liver biopsy assessment (using the nonalcoholic steatohepatitis Clinical Research Network histological scoring system), and 2D-MRE from 2011 to 2013. The radiologist and pathologist were blinded to clinical and pathology/imaging data, respectively. Receiver operating characteristics (ROCs) were examined to assess the diagnostic test performance of 2D-MRE in predicting advanced fibrosis. The mean (± standard deviation) of age and body mass index was 50.1 (± 13.4) years and 32.4 (± 5.0) kg/m(2), respectively. The median time interval between biopsy and 2D-MRE was 45 days (interquartile range: 50 days). The number of patients with fibrosis stages 0, 1, 2, 3, and 4 was 43, 39, 13, 12, and 10, respectively. The area under the ROC curve for 2D-MRE discriminating advanced fibrosis (stage 3-4) from stage 0-2 fibrosis was 0.924 (P < 0.0001). A threshold of >3.63 kPa had a sensitivity of 0.86 (95% confidence interval [CI]: 0.65-0.97), specificity of 0.91 (95% CI: 0.83-0.96), positive predictive value of 0.68 (95% CI: 0.48-0.84), and negative predictive value of 0.97 (95% CI: 0.91-0.99). CONCLUSIONS: MRE is accurate in predicting advanced fibrosis and may be utilized for noninvasive diagnosis of advanced fibrosis in patients with NAFLD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nonalcoholic Fatty Liver Disease
Angulo, P. (2002) · New England Journal of Medicine · doi:10.1056/nejmra011775 · Cited by 5,228
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
Risk of Cardiovascular Disease in Patients with Nonalcoholic Fatty Liver Disease
Targher, G., Day, C. P., & Bonora, E. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0912063 · Cited by 1,907
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-citationLiver Stiffness Measurement Using XL Probe in Patients With Nonalcoholic Fatty Liver Disease
Wong, V. W.-S., Vergniol, J., Wong, G. L.-H., Foucher, J., Chan, A. W.-H., Chermak, F., Choi, P. C.-L., Merrouche, W., Chu, S. H.-T., Pesque, S., et al. (2012) · American Journal of Gastroenterology · doi:10.1038/ajg.2012.331 · Cited by 345
Rubinstein, E., Lavine, J., & Schwimmer, J. (2008) · Seminars in Liver Disease · doi:10.1055/s-0028-1091982 · Cited by 60
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
Rinella, M. E., Neuschwander-Tetri, B. A., Siddiqui, M. S., Abdelmalek, M. F., Caldwell, S., Barb, D., Kleiner, D. E., & Loomba, R. (2023) · Hepatology · doi:10.1097/hep.0000000000000323 · Cited by 2,667
Self-citationNoninvasive 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
Self-citationNonalcoholic Steatohepatitis: A Review
Sheka, A. C., Adeyi, O., Thompson, J., Hameed, B., Crawford, P. A., & Ikramuddin, S. (2020) · JAMA · doi:10.1001/jama.2020.2298 · Cited by 1,379
Mack, C. L., Adams, D., Assis, D. N., Kerkar, N., Manns, M. P., Mayo, M. J., Vierling, J. M., Alsawas, M., Murad, M. H., & Czaja, A. J. (2020) · Hepatology · doi:10.1002/hep.31065 · Cited by 983
Metadata
- Authors
- Loomba, R., Wolfson, T., Ang, B., Hooker, J., Behling, C., Peterson, M., Valasek, M., Lin, G., Brenner, D., Gamst, A., Ehman, R., & Sirlin, C.
- Venue
- Hepatology
- Published
- 2014-10-29
- Volume
- 60
- Issue
- 6
- Pages
- 1920-1928
- ISSN
- 0270-9139 (ISSN-L)
- 1527-3350
- OpenAlex
- W1982702940
- Cited by
- 489
- References
- 7
- FWCI
- 33.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnetic resonance elastography predicts advanced fibrosis in patients with nonalcoholic fatty liver disease: A prospective study. https://app.cochat.ai/papers/10.1002/hep.27362
- The paper
- Loomba, R., Wolfson, T., Ang, B., Hooker, J., Behling, C., Peterson, M., Valasek, M., Lin, G., Brenner, D., Gamst, A., Ehman, R., & Sirlin, C. (2014). Magnetic resonance elastography predicts advanced fibrosis in patients with nonalcoholic fatty liver disease: A prospective study. Hepatology. https://doi.org/10.1002/hep.27362
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
