A study on adaptive IMRT treatment planning using kV cone-beam CT
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2007/10/01
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Journal
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Indian UGC (journal)
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Refrences24
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Citations152
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George X. Ding
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Dennis M. Duggan
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Charles W. Coffey
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Matthew Deeley
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Dennis E. Hallahan
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Anthony Cmelak
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Arnold Malcolm
Cite
Ding, George X., et al. “A Study on Adaptive IMRT Treatment Planning Using KV Cone-Beam CT”. Radiotherapy and Oncology, vol. 85, no. 1, 2007, pp. 116-25, https://doi.org/10.1016/j.radonc.2007.06.015.
Ding, G. X., Duggan, D. M., Coffey, C. W., Deeley, M., Hallahan, D. E., Cmelak, A., & Malcolm, A. (2007). A study on adaptive IMRT treatment planning using kV cone-beam CT. Radiotherapy and Oncology, 85(1), 116-125. https://doi.org/10.1016/j.radonc.2007.06.015
Ding GX, Duggan DM, Coffey CW, Deeley M, Hallahan DE, Cmelak A, et al. A study on adaptive IMRT treatment planning using kV cone-beam CT. Radiotherapy and Oncology. 2007;85(1):116-25.
Journal Categories
Medicine
Internal medicine
Neoplasms
Tumors
Oncology
Including cancer and carcinogens
Medicine
Medicine (General)
Medicine
Medicine (General)
Medical physics
Medical radiology
Nuclear medicine
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Repeat CT imaging and replanning during the course of IMRT for head-and-neck cancer | International Journal of Radiation Oncology*Biology*Physics |
| 327 | 2006 |
The stability of mechanical calibration for a kV cone beam computed tomography system integrated with linear acceleratora) | Medical Physics |
| 116 | 2006 |
| A feasibility study for image guided radiotherapy using low dose, high speed, cone beam X-ray volumetric imaging | Radiotherapy and Oncology |
| 77 | 2005 |
| Cone-beam-CT guided radiation therapy: technical implementation | Radiotherapy and Oncology |
| 195 | 2005 |
| Cone-beam-CT guided radiation therapy: A model for on-line application | Radiotherapy and Oncology |
| 166 | 2005 |
Refrences Analysis
The category
Medicine: Medicine (General) 20
is the most frequently represented among the references in this article. It primarily includes studies from Medical Physics The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| An unsupervised deep learning network model for artifact correction of cone-beam computed tomography images | Biomedical Signal Processing and Control |
| 2024 | |
2D antiscatter grid and scatter sampling based CBCT method for online dose calculations during CBCT guided radiation therapy of pelvis | Medical Physics |
| 2023 | |
| CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation | Medical Image Analysis |
| 4 | 2023 |
| Anatomical evaluation of deep-learning synthetic computed tomography images generated from male pelvis cone-beam computed tomography | Physics and Imaging in Radiation Oncology | 2 | 2023 | |
Feasibility of CycleGAN enhanced low dose CBCT imaging for prostate radiotherapy dose calculation | Physics in Medicine and Biology |
| 3 | 2023 |
Citations Analysis
The category
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine 104
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Consistency Check of Planned Adaptive® Option on Helical Tomotherapy and was published in 2008. The most recent citation comes from a 2024 study titled An unsupervised deep learning network model for artifact correction of cone-beam computed tomography images. This article reached its peak citation in 2009, with 17 citations. It has been cited in 46 different journals, 15% of which are open access. Among related journals, the Medical Physics cited this research the most, with 22 citations. The chart below illustrates the annual citation trends for this article.