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Immuno-PET: A Navigator in Monoclonal Antibody Development and Applications
Open accessAbstract
Learning Objectives: After completing this course, the reader will be able to: Discuss the technical advances that have led to recent rapid developments in monoclonal antibody imaging techniques.List the monoclonal antibodies that are currently available for cancer imaging and cancer therapy.Identify potential roles for immuno-PET in cancer staging and treatment selection. Access and take the CME test online and receive 1 AMA PRA Category 1 Credit™ at CME.TheOncologist.com
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Citations
Cited by
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Development and Characterization of Clinical-Grade 89Zr-Trastuzumab for HER2/neu ImmunoPET Imaging
Dijkers, E. C. F., Kosterink, J. G. W., Rademaker, A. P., Perk, L. R., van Dongen, G. A. M. S., Bart, J., de Jong, J. R., de Vries, E. G. E., & Lub-de Hooge, M. N. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.060392 · Cited by 334
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Metadata
- Authors
- van Dongen, G. A. M. S., Visser, G. W. M., Lub-de Hooge, M. N., de Vries, E. G., & Perk, L. R.
- Venue
- The Oncologist
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-12-01
- Volume
- 12
- Issue
- 12
- Pages
- 1379-1389
- ISSN
- 1083-7159 (ISSN-L)
- 1549-490X
- OpenAlex
- W2146330193
- Cited by
- 330
- References
- 0
- FWCI
- 8.66
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Immuno-PET: A Navigator in Monoclonal Antibody Development and Applications. https://app.cochat.ai/papers/10.1634/theoncologist.12-12-1379
- The paper
- van Dongen, G. A. M. S., Visser, G. W. M., Lub-de Hooge, M. N., de Vries, E. G., & Perk, L. R. (2007). Immuno-PET: A Navigator in Monoclonal Antibody Development and Applications. The Oncologist. https://doi.org/10.1634/theoncologist.12-12-1379
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.
