The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases
Open accessAbstract
A recent meeting was held on March 22, 2019, among the FDA, clinical scientists, pharmaceutical and biotech companies, clinical trials cooperative groups, and patient advocacy groups to discuss challenges and potential solutions for increasing development of therapeutics for central nervous system metastases. A key issue identified at this meeting was the need for consistent tumor measurement for reliable tumor response assessment, including the first step of standardized image acquisition with an MRI protocol that could be implemented in multicenter studies aimed at testing new therapeutics. This document builds upon previous consensus recommendations for a standardized brain tumor imaging protocol (BTIP) in high-grade gliomas and defines a protocol for brain metastases (BTIP-BM) that addresses unique challenges associated with assessment of CNS metastases. The “minimum standard” recommended pulse sequences include: (i) parameter matched pre- and post-contrast inversion recovery (IR)–prepared, isotropic 3D T1-weighted gradient echo (IR-GRE); (ii) axial 2D T2-weighted turbo spin echo acquired after injection of gadolinium-based contrast agent and before post-contrast 3D T1-weighted images; (iii) axial 2D or 3D T2-weighted fluid attenuated inversion recovery; (iv) axial 2D, 3-directional diffusion-weighted images; and (v) post-contrast 2D T1-weighted spin echo images for increased lesion conspicuity. Recommended sequence parameters are provided for both 1.5T and 3T MR systems. An “ideal” protocol is also provided, which replaces IR-GRE with 3D TSE T1-weighted imaging pre- and post-gadolinium, and is best performed at 3T, for which dynamic susceptibility contrast perfusion is included. Recommended perfusion parameters are given.
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Self-citationEpidemiology of Brain Metastases
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Self-citationIntracranial gadolinium deposition after contrast-enhanced MR imaging
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Combined Nivolumab and Ipilimumab in Melanoma Metastatic to the Brain
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Self-citationResponse assessment criteria for brain metastases: proposal from the RANO group
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Cited by
Le Rhun, E., Guckenberger, M., Smits, M., Dummer, R., Bachelot, T., Sahm, F., Galldiks, N., de Azambuja, E., Berghoff, A. S., Metellus, P., et al. (2021) · Annals of Oncology · doi:10.1016/j.annonc.2021.07.016 · Cited by 592
Self-citationEpidemiology of brain metastases and leptomeningeal disease
Lamba, N., Wen, P. Y., & Aizer, A. A. (2021) · Neuro-Oncology · doi:10.1093/neuonc/noab101 · Cited by 406
Self-citationCho, J., Kim, Y. J., Sunwoo, L., Lee, G. P., Nguyen, T. Q., Cho, S. J., Baik, S. H., Bae, Y. J., Choi, B. S., Jung, C., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.739639 · Cited by 30
Metadata
- Authors
- Kaufmann, T. J., Smits, M., Boxerman, J., Huang, R., Barboriak, D. P., Weller, M., Chung, C., Tsien, C., Brown, P. D., Shankar, L., Galanis, E., Gerstner, E., van den Bent, M. J., Burns, T. C., Parney, I. F., Dunn, G., Brastianos, P. K., Lin, N. U., Wen, P. Y., & Ellingson, B. M.
- Venue
- Neuro-Oncology
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-02-12
- Volume
- 22
- Issue
- 6
- Pages
- 757-772
- ISSN
- 1522-8517 (ISSN-L)
- 1523-5866
- OpenAlex
- W3005961708
- Cited by
- 267
- References
- 93
- FWCI
- 15.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kaufmann, T. J., Smits, M., Boxerman, J., Huang, R., Barboriak, D. P., Weller, M., Chung, C., Tsien, C., Brown, P. D., Shankar, L., Galanis, E., Gerstner, E., van den Bent, M. J., Burns, T. C., Parney, I. F., Dunn, G., Brastianos, P. K., Lin, N. U., Wen, P. Y., & Ellingson, B. M. (2020). Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro-Oncology. https://doi.org/10.1093/neuonc/noaa030
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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.
