The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Advances in Image-Guided Radiation Therapy
Abstract
Imaging is central to radiation oncology practice, with advances in radiation oncology occurring in parallel to advances in imaging. Targets to be irradiated and normal tissues to be spared are delineated on computed tomography (CT) scans in the planning process. Computer-assisted design of the radiation dose distribution ensures that the objectives for target coverage and avoidance of healthy tissue are achieved. The radiation treatment units are now recognized as state-of-the-art robotics capable of three-dimensional soft tissue imaging immediately before, during, or after radiation delivery, improving the localization of the target at the time of radiation delivery, to ensure that radiation therapy is delivered as planned. Frequent imaging in the treatment room during a course of radiation therapy, with decisions made on the basis of imaging, is referred to as image-guided radiation therapy (IGRT). IGRT allows changes in tumor position, size, and shape to be measured during the course of therapy, with adjustments made to maximize the geometric accuracy and precision of radiation delivery, reducing the volume of healthy tissue irradiated and permitting dose escalation to the tumor. These geometric advantages increase the chance of tumor control, reduce the risk of toxicity after radiotherapy, and facilitate the development of shorter radiotherapy schedules. By reducing the variability in delivered doses across a population of patients, IGRT should also improve interpretation of future clinical trials.
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Seppenwoolde, Y., Shirato, H., Kitamura, K., Shimizu, S., van Herk, M., Lebesque, J. V., & Miyasaka, K. (2002) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(02)02803-1 · Cited by 1,379
Prostate cancer radiation dose response: results of the M. D. Anderson phase III randomized trial
Pollack, A., Zagars, G. K., Starkschall, G., Antolak, J. A., Lee, J. J., Huang, E., von Eschenbach, A. C., Kuban, D. A., & Rosen, I. (2002) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(02)02829-8 · Cited by 1,333
Pow, E. H. N., Kwong, D. L. W., McMillan, A. S., Wong, M. C. M., Sham, J. S. T., Leung, L. H. T., & Leung, W. K. (2006) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2006.06.013 · Cited by 737
Potters, L., Kavanagh, B., Galvin, J. M., Hevezi, J. M., Janjan, N. A., Larson, D. A., Mehta, M. P., Ryu, S., Steinberg, M., Timmerman, R., et al. (2010) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2009.09.042 · Cited by 664
Image guidance for precise conformal radiotherapy
Mackie, T. R., Kapatoes, J., Ruchala, K., Lu, W., Wu, C., Olivera, G., Forrest, L., Tome, W., Welsh, J., Jeraj, R., et al. (2003) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(03)00090-7 · Cited by 484
Shirato, H., Shimizu, S., Kitamura, K., Nishioka, T., Kagei, K., Hashimoto, S., Aoyama, H., Kunieda, T., Shinohara, N., Dosaka-Akita, H., et al. (2000) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(00)00625-8 · Cited by 464
Phase I study of stereotactic radiosurgery in patients with locally advanced pancreatic cancer
Koong, A. C., Le, Q. T., Ho, A., Fong, B., Fisher, G., Cho, C., Ford, J., Poen, J., Gibbs, I. C., Mehta, V. K., et al. (2004) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2003.11.004 · Cited by 444
de Crevoisier, R., Tucker, S. L., Dong, L., Mohan, R., Cheung, R., Cox, J. D., & Kuban, D. A. (2005) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2004.11.032 · Cited by 389
Low-dose megavoltage cone-beam CT for radiation therapy
Pouliot, J., Bani-Hashemi, A., Chen, J., Svatos, M., Ghelmansarai, F., Mitschke, M., Aubin, M., Xia, P., Morin, O., Bucci, K., et al. (2005) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2004.10.011 · Cited by 374
Correlation of lung tumor motion with external surrogate indicators of respiration
Hoisak, J. D. P., Sixel, K. E., Tirona, R., Cheung, P. C. F., & Pignol, J.-P. (2004) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2004.07.681 · Cited by 318
Cited by
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
“In the case of radiation therapy, registration can be used to account for the patient's position and motion, allowing for the necessary adjustments to dose and aiming angles that maximize the therapeutic gain [13 15].”
BackgroundGold nanoparticles for applications in cancer radiotherapy: Mechanisms and recent advancements
Her, S., Jaffray, D. A., & Allen, C. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.12.012 · Cited by 865
Self-citationBirkfellner, W., Stock, M., Figl, M., Gendrin, C., Hummel, J., Dong, S., Kettenbach, J., Georg, D., & Bergmann, H. (2009) · Medical Physics · doi:10.1118/1.3157111 · Cited by 44
Computational Approaches in Theranostics: Mining and Predicting Cancer Data
Cova, T. F. G. G., Bento, D. J., & Nunes, S. C. C. (2019) · Pharmaceutics · doi:10.3390/pharmaceutics11030119 · Cited by 32
Rapid patient-specific neural networks for intraoperative X-ray to volume registration
Gopalakrishnan, V., Chlorogiannis, D.-D., Abumoussa, A., Larson, A. M., Haouchine, N., Orbach, D. B., Frisken, S., Dey, N., & Golland, P. (2025) · arXiv · doi:10.48550/arxiv.2503.16309 · Cited by 13
Metadata
- Authors
- Dawson, L. A., & Jaffray, D. A.
- Venue
- Journal of Clinical Oncology
- Published
- 2007-03-10
- Volume
- 25
- Issue
- 8
- Pages
- 938-946
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2162037713
- Cited by
- 420
- References
- 22
- FWCI
- 25.46
- Type
- journal article
- Language
- en
- Open access
- closed
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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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