The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Diffusion-weighted and Perfusion MR Imaging for Brain Tumor Characterization and Assessment of Treatment Response
Abstract
Diffusion-weighted magnetic resonance (MR) imaging and perfusion MR imaging are advanced techniques that provide information not available from conventional MR imaging. In particular, these techniques have a number of applications with regard to characterization of tumors and assessment of tumor response to therapy. In this review, the authors describe the fundamental principles of diffusion-weighted and perfusion MR imaging and provide an overview of the ways in which these techniques are being used to characterize tumors by helping distinguish tumor types, assess tumor grade, and attempt to determine tumor margins. In addition, the role of these techniques for evaluating response to tumor therapy is outlined.
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Citations
Cites
Vascular endothelial growth factor induced by hypoxia may mediate hypoxia-initiated angiogenesis
Shweiki, D., Itin, A., Soffer, D., & Keshet, E. (1992) · Nature · doi:10.1038/359843a0 · Cited by 4,617
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Methodology of brain perfusion imaging
Barbier, E. L., Lamalle, L., & Décorps, M. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1073 · Cited by 404
Cited by
Zacharaki, E. I., Wang, S., Chawla, S., Soo Yoo, D., Wolf, R., Melhem, E. R., & Davatzikos, C. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22147 · Cited by 855
Perfusion MRI: The Five Most Frequently Asked Clinical Questions
Essig, M., Nguyen, T. B., Shiroishi, M. S., Saake, M., Provenzale, J. M., Enterline, D. S., Anzalone, N., Dörfler, A., Rovira, À., Wintermark, M., et al. (2013) · American Journal of Roentgenology · doi:10.2214/ajr.12.9544 · Cited by 344
Self-citationBrain Tumor Detection by Using Stacked Autoencoders in Deep Learning
Amin, J., Sharif, M., Gul, N., Raza, M., Anjum, M. A., Nisar, M. W., & Bukhari, S. A. C. (2020) · Journal of Medical Systems · doi:10.1007/s10916-019-1483-2 · Cited by 178
Metadata
- Authors
- Provenzale, J. M., Mukundan, S., & Barboriak, D. P.
- Venue
- Radiology
- Published
- 2006-06
- Volume
- 239
- Issue
- 3
- Pages
- 632-649
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2125687380
- Cited by
- 402
- References
- 3
- FWCI
- 19.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- Provenzale, J. M., Mukundan, S., & Barboriak, D. P. (2006). Diffusion-weighted and Perfusion MR Imaging for Brain Tumor Characterization and Assessment of Treatment Response. Radiology. https://doi.org/10.1148/radiol.2393042031
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
