| Title |
Positioning error and expanding margins of planning target volume with kilovoltage cone beam computed tomography for prostate cancer radiotherapy
|
|---|---|
| Published in |
OncoTargets and therapy, April 2018
|
| DOI | 10.2147/ott.s152915 |
| Pubmed ID | |
| Authors |
Gang Wang, Wen-Ling Wang, Yi-Qun Liu, Hong-Min Dong, Yin-Xiang Hu |
| Abstract |
In this study, prostate cancer patients were treated with image-guided radiotherapy (IGRT). The translational positioning errors were discussed to provide the basis for determining margins of the planning target volume (PTV). Thirty prostate cancer patients were treated with radical radiotherapy using the IGRT system. Patients were placed in the supine position and underwent kilovoltage cone beam computed tomography (KVCBCT) scans before radiotherapy. A total of 447 images were acquired. The translational positioning errors were obtained in three linear directions which were X (left-to-right), Y (superior-to-inferior) and Z (anterior-to-posterior) axes (denoted as Lx, Ly and Lz) through the contrast between images adjusted with gray and manual registrations and the planning CT images. Rotational errors were denoted as Rx, Ry and Rz. Uncorrected translational errors Lx, Ly and Lz in the 251 positioning images were all higher than those after correction, and the differences were all statistically significant (P=0.000, 0.037 and 0.004, respectively). For rotational errors Rx, Ry and Rz, only Rx had a significant difference before and after correction (P=0.044). Before correction, PTV margins in the X, Y and Z directions were 0.61, 0.78 and 0.41 cm, respectively; after correction, these were 0.17, 0.12 and 0.17 cm, respectively. KVCBCT can be applied to measure positioning errors in prostate cancer radiotherapy and correct these errors in real time through the 6° robotic patient positioning system, in order to improve patient positioning accuracy. The application of IGRT with KVCBCT may reduce PTV margins. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 14% |
| Student > Master | 2 | 14% |
| Student > Doctoral Student | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Unknown | 7 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 36% |
| Chemistry | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Unknown | 7 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,147
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Outputs of similar age
#221,892
of 343,807 outputs
Outputs of similar age from OncoTargets and therapy
#48
of 104 outputs
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