scholarly journals Positioning error and expanding margins of planning target volume with kilovoltage cone beam computed tomography for prostate cancer radiotherapy

2018 ◽  
Vol Volume 11 ◽  
pp. 1981-1988
Author(s):  
Gang Wang ◽  
Wen-Ling Wang ◽  
Yi-Qun Liu ◽  
Hong-Min Dong ◽  
Yin-Xiang Hu
Keyword(s):  
Prostate Cancer ◽  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Planning Target Volume ◽  
Target Volume ◽  
Cone Beam ◽  
Positioning Error ◽  
Cancer Radiotherapy ◽  
Prostate Cancer Radiotherapy

scholarly journals EP-1348: Set-up errors in prostate cancer radiotherapy based on cone-beam computed tomography

2017 ◽  
Vol 123 ◽  
pp. S723
Author(s):  
M. Trignani ◽  
G. Caponigro ◽  
M. Di Biase ◽  
P. Bagalà ◽  
M.D. Falco ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Cancer Radiotherapy ◽  
Set Up ◽  
Prostate Cancer Radiotherapy

Fractionated changes in prostate cancer radiotherapy using cone-beam computed tomography

2015 ◽  
Vol 40 (3) ◽  
pp. 222-225 ◽  
Author(s):  
Tzung-Chi Huang ◽  
Kuei-Ting Chou ◽  
Shih-Neng Yang ◽  
Chih-Kai Chang ◽  
Ji-An Liang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Cancer Radiotherapy ◽  
Prostate Cancer Radiotherapy

scholarly journals Impact of four-dimensional cone-beam computed tomography on target localization for gastric mucosa-associated lymphoid tissue lymphoma radiotherapy: reducing planning target volume

2020 ◽  
Author(s):  
Yoshinobu Shimohigashi ◽  
Ryo Toya ◽  
Tetsuo Saito ◽  
Yumiko Kono ◽  
Yasuhiro Doi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Gastric Mucosa ◽  
Cone Beam Computed Tomography ◽  
Planning Target Volume ◽  
Lymphoid Tissue ◽  
Target Volume ◽  
Target Localization ◽  
Cone Beam ◽  
Dimensional Cone

Abstract Background: Radiotherapy of gastric mucosa-associated lymphoid tissue (MALT) lymphoma should be delivered to the entire stomach with planning target volume (PTV) that accounts for variations in stomach volume, respiratory movement, and patient set-up error. In this study, we evaluated whether the use of four-dimensional cone-beam computed tomography (4D-CBCT) reduces the PTV. Methods: Eight patients underwent radiotherapy with 15 fractions of gastric MALT lymphoma using 4D-CBCT. PTV structures of 5–30 mm margins (5 mm intervals) from the clinical target volume (CTV) delineated based on the 4D-CT images (CTV-4D) were generated. For the target localization, we performed matching based on skin marking (skin matching), bone anatomy (bone matching), and stomach anatomy (4D soft-tissue matching) based on registration between planning CT and 4D-CBCT images from 10 phases. For each patient, we calculated the covering ratio (CR) of the stomach with variable PTV structures, based on the 4D-CBCT images, with a total of 150 phases [CR (%) = (number of covering phases / 150 phases) × 100], for three target localization methods. We compared the CR values of the different target localization methods and defined the PTV with an average CR of ≥ 95 % for all patients. Results: The average CR for all patients increased from 17.9 % to 100 %, 19.6 % to 99.8 %, and 33.8 % to 100 %, in the skin, bone, and 4D soft-tissue matchings, respectively, as the PTV structures increased from 5 to 30 mm. The CR obtained by 4D soft-tissue matching was superior to that obtained by skin (P = 0.013) and bone matching (P = 0.008) for a PTV structure of 15 mm margin. The PTV required an additional margin of 20 mm (average CR: 95.2 %), 25 mm (average CR: 99.1 %), and 15 mm (average CR: 98.0 %) to CTV-4D for the skin, bone, and 4D soft-tissue matchings, respectively. Conclusions: This study demonstrates that the use of 4D-CBCT reduces the PTV when applying 4D soft-tissue matching, compared to skin and bone matchings. Additionally, bone matching does not reduce the PTV as compared with traditional skin matching.

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