The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Magnetic resonance elastography of liver: Technique, analysis, and clinical applications
Open accessAbstract
Many pathological processes cause marked changes in the mechanical properties of tissue. MR elastography (MRE) is a noninvasive MRI based technique for quantitatively assessing the mechanical properties of tissues in vivo. MRE is performed by using a vibration source to generate low frequency mechanical waves in tissue, imaging the propagating waves using a phase contrast MRI technique, and then processing the wave information to generate quantitative images showing mechanical properties such as tissue stiffness. Since its first description in 1995, published studies have explored many potential clinical applications including brain, thyroid, lung, heart, breast, and skeletal muscle imaging. However, the best‐documented application to emerge has been the use of MRE to assess liver disease. Multiple studies have demonstrated that there is a strong correlation between MRE‐measured hepatic stiffness and the stage of fibrosis at histology. The emerging literature indicates that MRE can serve as a safer, less expensive, and potentially more accurate alternative to invasive liver biopsy which is currently the gold standard for diagnosis and staging of liver fibrosis. This review describes the basic principles, technique of performing a liver MRE, analysis and calculation of stiffness, clinical applications, limitations, and potential future applications. J. Magn. Reson. Imaging 2013;37:544–555. © 2012 Wiley Periodicals, Inc.
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Lok, A. S. F., & McMahon, B. J. (2007) · Hepatology · doi:10.1002/hep.21513 · Cited by 3,087
Transient elastography: a new noninvasive method for assessment of hepatic fibrosis
Sandrin, L., Fourquet, B., Hasquenoph, J.-M., Yon, S., Fournier, C., Mal, F., Christidis, C., Ziol, M., Poulet, B., Kazemi, F., et al. (2003) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2003.07.001 · Cited by 2,738
Castéra, L., Vergniol, J., Foucher, J., Le Bail, B., Chanteloup, E., Haaser, M., Darriet, M., Couzigou, P., & de Lédinghen, V. (2005) · Gastroenterology · doi:10.1053/j.gastro.2004.11.018 · Cited by 2,487
Sampling Variability of Liver Fibrosis in Chronic Hepatitis C
Bedossa, P., Dargère, D., & Paradis, V. (2003) · Hepatology · doi:10.1016/j.hep.2003.09.022 · Cited by 2,376
Lamivudine for Patients with Chronic Hepatitis B and Advanced Liver Disease
Liaw, Y.-F., Sung, J. J. Y., Chow, W. C., Farrell, G., Lee, C.-Z., Yuen, H., Tanwandee, T., Tao, Q.-M., Shue, K., Keene, O. N., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa033364 · Cited by 2,266
Magnetic Resonance Elastography by Direct Visualization of Propagating Acoustic Strain Waves
Muthupillai, R., Lomas, D. J., Rossman, P. J., Greenleaf, J. F., Manduca, A., & Ehman, R. L. (1995) · Science · doi:10.1126/science.7569924 · Cited by 2,116
Self-citationSampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection
Regev, A., Berho, M. E., Jeffers, L. J., Milikowski, C., Molina, E. G., Pyrsopoulos, N., Feng, Z.-Z., Reddy, K. R., & Schiff, E. R. (2002) · The American Journal of Gastroenterology · doi:10.1016/s0002-9270(02)04396-4 · Cited by 2,093
Panahi, M., Naderi, M., Morteza, T. S., & Parizadeh, S. M. J. (2007) · Cited by 1,722
Complications following percutaneous liver biopsy
Piccinino, F., Sagnelli, E., Pasquale, G., Giusti, G., Battocchia, A., Bernardi, M., Bertolazzi, R., Bianchi, F. B., Brunelli, E., Budillon, G., et al. (1986) · Journal of Hepatology · doi:10.1016/s0168-8278(86)80075-7 · Cited by 1,202
Magnetic resonance elastography: Non-invasive mapping of tissue elasticity
Manduca, A., Oliphant, T. E., Dresner, M. A., Mahowald, J. L., Kruse, S. A., Amromin, E., Felmlee, J. P., Greenleaf, J. F., & Ehman, R. L. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(00)00039-6 · Cited by 1,103
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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
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Loomba, 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
Metadata
- Authors
- Venkatesh, S. K., Yin, M., & Ehman, R. L.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2013-02-19
- Volume
- 37
- Issue
- 3
- Pages
- 544-555
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- OpenAlex
- W2117827638
- Cited by
- 659
- References
- 43
- FWCI
- 34.94
- Type
- journal article
- Language
- en
- Open access
- bronze
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