The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Functional tumor imaging with dynamic contrast‐enhanced magnetic resonance imaging
Open accessAbstract
Dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) is the acquisition of serial MRI images before, during, and after the administration of an MR contrast agent. Unlike conventional enhanced MRI, which simply provides a snapshot of enhancement at one point in time, DCE‐MRI permits a fuller depiction of the wash‐in and wash‐out contrast kinetics within tumors, and thus provides insight into the nature of the bulk tissue properties. Such data is readily amenable to two‐compartment pharmacokinetic modeling from which parameters based on the rates of exchange between the compartments can be generated. These parameters can be used to generate color‐encoded images that aid in the visual assessment of tumors. DCE‐MRI is used currently to characterize masses, stage tumors, and noninvasively monitor therapy. While DCE‐MRI is in clinical use, there are also a number of limitations, including overlap between malignant and benign inflammatory tissue, failure to resolve microscopic disease, and the inconsistent predictive value of enhancement pattern with regard to clinical outcome. Current research focuses on improving understanding of the meaning of DCE‐MRI at a molecular level, evaluating macromolecular and targeted contrast agents, and combining DCE‐MRI with other physiologic imaging techniques such as positron emission tomography. Efforts to standardize DCE‐MRI acquisition, analysis, and reporting methods will allow wider dissemination of this useful functional imaging technique. J. Magn. Reson. Imaging 2003;17:509–520. Published 2003 Wiley‐Liss, Inc.
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Cites
Normalizing tumor vasculature with anti-angiogenic therapy: A new paradigm for combination therapy
Jain, R. K. (2001) · Nature Medicine · doi:10.1038/nm0901-987 · Cited by 2,184
Cited by
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
“perfusion imaging for cancer characterization and treatment) that convey great clinical information and have important diagnostic value [3, 4].”
BackgroundMultimodality Molecular Imaging of Tumor Angiogenesis
Cai, W., & Chen, X. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045922 · Cited by 494
Classic models for dynamic contrast‐enhanced MRI
Sourbron, S. P., & Buckley, D. L. (2013) · NMR in Biomedicine · doi:10.1002/nbm.2940 · Cited by 434
Walsh, J. C., Lebedev, A., Aten, E., Madsen, K., Marciano, L., & Kolb, H. C. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2013.5378 · Cited by 420
Verma, N., Cowperthwaite, M. C., Burnett, M. G., & Markey, M. K. (2013) · Neuro-Oncology · doi:10.1093/neuonc/nos307 · Cited by 351
Metadata
- Authors
- Choyke, P. L., Dwyer, A. J., & Knopp, M. V.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2003-04-23
- Volume
- 17
- Issue
- 5
- Pages
- 509-520
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- OpenAlex
- W2161240017
- Cited by
- 439
- References
- 1
- FWCI
- 16.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
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