The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
FDG PET, PET/CT, and Breast Cancer Imaging
Abstract
Currently, the clinical role of positron emission tomography (PET) and PET/computed tomography (CT) in patients with breast cancer is to provide additional information in select scenarios in which results of conventional imaging are indeterminate or of limited utility. There is currently no clinical role for fluorodeoxyglucose (FDG) PET in detection of breast cancer or evaluation of axillary lymph nodes, but these are areas of active research. FDG PET is complementary to conventional staging procedures and should not be a replacement for either bone scintigraphy or diagnostic CT. FDG PET and PET/CT have been shown to be particularly useful in the restaging of breast cancer, in evaluation of response to therapy, and as a problem-solving method when results of conventional imaging are equivocal. In these situations, FDG PET often demonstrates locoregional or unsuspected distant disease that affects management. PET has demonstrated a particular capability for evaluation of chemotherapy response in both patients with locally advanced breast carcinoma and those with metastatic disease.
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Wolmark, N., Wang, J., Mamounas, E., Bryant, J., & Fisher, B. (2001) · JNCI Monographs · doi:10.1093/oxfordjournals.jncimonographs.a003469 · Cited by 1,299
Wahl, R. L., Zasadny, K., Helvie, M., Hutchins, G. D., Weber, B., & Cody, R. (1993) · Journal of Clinical Oncology · doi:10.1200/jco.1993.11.11.2101 · Cited by 605
Cook, G. J., Houston, S., Rubens, R., Maisey, M. N., & Fogelman, I. (1998) · Journal of Clinical Oncology · doi:10.1200/jco.1998.16.10.3375 · Cited by 562
Schelling, M., Avril, N., Nährig, J., Kuhn, W., Römer, W., Sattler, D., Werner, M., Dose, J., Jänicke, F., Graeff, H., et al. (2000) · Journal of Clinical Oncology · doi:10.1200/jco.2000.18.8.1689 · Cited by 522
Metabolic Flare: Indicator of Hormone Responsiveness in Advanced Breast Cancer
Mortimer, J. E., Dehdashti, F., Siegel, B. A., Trinkaus, K., Katzenellenbogen, J. A., & Welch, M. J. (2001) · Journal of Clinical Oncology · doi:10.1200/jco.2001.19.11.2797 · Cited by 410
Smith, I. C., Welch, A. E., Hutcheon, A. W., Miller, I. D., Payne, S., Chilcott, F., Waikar, S., Whitaker, T., Ah-See, A. K., Eremin, O., et al. (2000) · Journal of Clinical Oncology · doi:10.1200/jco.2000.18.8.1676 · Cited by 406
Linden, H. M., Stekhova, S. A., Link, J. M., Gralow, J. R., Livingston, R. B., Ellis, G. K., Petra, P. H., Peterson, L. M., Schubert, E. K., Dunnwald, L. K., et al. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2005.04.3810 · Cited by 394
Self-citationWahl, R. L., Siegel, B. A., Coleman, R. E., & Gatsonis, C. G. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.04.148 · Cited by 345
Blood flow and metabolism in locally advanced breast cancer: relationship to response to therapy.
Mankoff, D. A., Dunnwald, L. K., Gralow, J. R., Ellis, G. K., Charlop, A. W., Lawton, T. J., Schubert, E. K., Tseng, J. R., & Livingston, R. B. (2002) · PubMed · Cited by 253
Self-citationMoon, D. H., Maddahi, J., Silverman, D. H. S., Glaspy, J. A., Phelps, M. E., & Hoh, C. K. (1998) · PubMed · Cited by 249
Cited by
Yao, D., Wang, Y., Zou, R., Bian, K., Liu, P., Shen, S., Yang, W., Zhang, B., & Wang, D. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b20147 · Cited by 151
Quantitative Receptor-Based Imaging of Tumor Proliferation with the Sigma-2 Ligand [18F]ISO-1
Shoghi, K. I., Xu, J., Su, Y., He, J., Rowland, D., Yan, Y., Garbow, J. R., Tu, Z., Jones, L. A., Higashikubo, R., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074188 · Cited by 44
Metadata
- Authors
- Rosen, E. L., Eubank, W. B., & Mankoff, D. A.
- Venue
- RadioGraphics
- Published
- 2007-10
- Volume
- 27
- Issue
- suppl_1
- Pages
- S215-S229
- ISSN
- 0271-5333 (ISSN-L)
- 1527-1323
- OpenAlex
- W2153283011
- Cited by
- 265
- References
- 34
- FWCI
- 10.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rosen, E. L., Eubank, W. B., & Mankoff, D. A. (2007). FDG PET, PET/CT, and Breast Cancer Imaging. RadioGraphics. https://doi.org/10.1148/rg.27si075517
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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