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Integration method of 3D MR spectroscopy into treatment planning system for glioblastoma IMRT dose painting with integrated simultaneous boost
Open accessAbstract
BACKGROUND: To integrate 3D MR spectroscopy imaging (MRSI) in the treatment planning system (TPS) for glioblastoma dose painting to guide simultaneous integrated boost (SIB) in intensity-modulated radiation therapy (IMRT). METHODS: For sixteen glioblastoma patients, we have simulated three types of dosimetry plans, one conventional plan of 60-Gy in 3D conformational radiotherapy (3D-CRT), one 60-Gy plan in IMRT and one 72-Gy plan in SIB-IMRT. All sixteen MRSI metabolic maps were integrated into TPS, using normalization with color-space conversion and threshold-based segmentation. The fusion between the metabolic maps and the planning CT scans were assessed. Dosimetry comparisons were performed between the different plans of 60-Gy 3D-CRT, 60-Gy IMRT and 72-Gy SIB-IMRT, the last plan was targeted on MRSI abnormalities and contrast enhancement (CE). RESULTS: Fusion assessment was performed for 160 transformations. It resulted in maximum differences <1.00 mm for translation parameters and ≤1.15° for rotation. Dosimetry plans of 72-Gy SIB-IMRT and 60-Gy IMRT showed a significantly decreased maximum dose to the brainstem (44.00 and 44.30 vs. 57.01 Gy) and decreased high dose-volumes to normal brain (19 and 20 vs. 23% and 7 and 7 vs. 12%) compared to 60-Gy 3D-CRT (p < 0.05). CONCLUSIONS: Delivering standard doses to conventional target and higher doses to new target volumes characterized by MRSI and CE is now possible and does not increase dose to organs at risk. MRSI and CE abnormalities are now integrated for glioblastoma SIB-IMRT, concomitant with temozolomide, in an ongoing multi-institutional phase-III clinical trial. Our method of MR spectroscopy maps integration to TPS is robust and reliable; integration to neuronavigation systems with this method could also improve glioblastoma resection or guide biopsies.
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Radiotherapy Plus Concomitant and Adjuvant Temozolomide for Glioblastoma
Stupp, R., Mason, W. P., van den Bent, M. J., Weller, M., Fisher, B., Taphoorn, M. J. B., Belanger, K., Brandes, A. A., Marosi, C., Bogdahn, U., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043330 · Cited by 21,807
Cited by
Sarkaria, J. N., Hu, L. S., Parney, I. F., Pafundi, D. H., Brinkmann, D. H., Laack, N. N., Giannini, C., Burns, T. C., Kizilbash, S. H., Laramy, J. K., et al. (2018) · Neuro-Oncology · doi:10.1093/neuonc/nox175 · Cited by 746
Boron neutron capture therapy: Current status and future perspectives
Dymova, M. A., Taskaev, S. Y., Richter, V. A., & Kuligina, E. V. (2020) · Cancer Communications · doi:10.1002/cac2.12089 · Cited by 339
Glide-Hurst, C. K., Lee, P., Yock, A. D., Olsen, J. R., Cao, M., Siddiqui, F., Parker, W., Doemer, A., Rong, Y., Kishan, A. U., et al. (2021) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2020.10.021 · Cited by 317
Cancer nanotechnology: current status and perspectives
Kemp, J. A., & Kwon, Y. J. (2021) · Nano Convergence · doi:10.1186/s40580-021-00282-7 · Cited by 266
Metadata
- Authors
- Ken, S., Vieillevigne, L., Franceries, X., Simon, L., Supper, C., Lotterie, J.-A., Filleron, T., Lubrano, V., Berry, I., Cassol, E., Delannes, M., Celsis, P., Cohen-Jonathan, E. M., & Laprie, A.
- Venue
- Radiation Oncology
- Published
- 2013-01-02
- Volume
- 8
- Issue
- 1
- Pages
- 1-1
- ISSN
- 1748-717X (ISSN-L)
- OpenAlex
- W2128817056
- Cited by
- 231
- References
- 1
- FWCI
- 24.33
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ken, S., Vieillevigne, L., Franceries, X., Simon, L., Supper, C., Lotterie, J.-A., Filleron, T., Lubrano, V., Berry, I., Cassol, E., Delannes, M., Celsis, P., Cohen-Jonathan, E. M., & Laprie, A. (2013). Integration method of 3D MR spectroscopy into treatment planning system for glioblastoma IMRT dose painting with integrated simultaneous boost. Radiation Oncology. https://doi.org/10.1186/1748-717x-8-1
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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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